End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +3680 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: llama3.1
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: oh_scale_x.125_compute_equal
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# oh_scale_x.125_compute_equal
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 2.0839
|
| 21 |
|
|
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: oh_scale_x.125_compute_equal
|
|
|
|
| 16 |
|
| 17 |
# oh_scale_x.125_compute_equal
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh-dcft-v1.3_no-curation_gpt-4o-mini_scale_0.125x dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 2.0839
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 88.76392572944297,
|
| 3 |
+
"eval_loss": 2.0839004516601562,
|
| 4 |
+
"eval_runtime": 31.6829,
|
| 5 |
+
"eval_samples_per_second": 40.022,
|
| 6 |
+
"eval_steps_per_second": 0.631,
|
| 7 |
+
"total_flos": 7006471418019840.0,
|
| 8 |
+
"train_loss": 0.08750477477266028,
|
| 9 |
+
"train_runtime": 144988.2671,
|
| 10 |
+
"train_samples_per_second": 14.779,
|
| 11 |
+
"train_steps_per_second": 0.029
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 88.76392572944297,
|
| 3 |
+
"eval_loss": 2.0839004516601562,
|
| 4 |
+
"eval_runtime": 31.6829,
|
| 5 |
+
"eval_samples_per_second": 40.022,
|
| 6 |
+
"eval_steps_per_second": 0.631
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 88.76392572944297,
|
| 3 |
+
"total_flos": 7006471418019840.0,
|
| 4 |
+
"train_loss": 0.08750477477266028,
|
| 5 |
+
"train_runtime": 144988.2671,
|
| 6 |
+
"train_samples_per_second": 14.779,
|
| 7 |
+
"train_steps_per_second": 0.029
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3680 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 88.76392572944297,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 4183,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.21220159151193635,
|
| 13 |
+
"grad_norm": 9.341732608305685,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 1.0392,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.4244031830238727,
|
| 20 |
+
"grad_norm": 0.9128095729645316,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.9332,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.636604774535809,
|
| 27 |
+
"grad_norm": 1.502485412822423,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.8893,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.8488063660477454,
|
| 34 |
+
"grad_norm": 1.0083153850936062,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.8588,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.9973474801061007,
|
| 41 |
+
"eval_loss": 0.8430517315864563,
|
| 42 |
+
"eval_runtime": 32.5274,
|
| 43 |
+
"eval_samples_per_second": 38.983,
|
| 44 |
+
"eval_steps_per_second": 0.615,
|
| 45 |
+
"step": 47
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 1.0610079575596818,
|
| 49 |
+
"grad_norm": 0.9259906485223762,
|
| 50 |
+
"learning_rate": 5e-06,
|
| 51 |
+
"loss": 0.9067,
|
| 52 |
+
"step": 50
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 1.273209549071618,
|
| 56 |
+
"grad_norm": 0.940198338226638,
|
| 57 |
+
"learning_rate": 5e-06,
|
| 58 |
+
"loss": 0.7853,
|
| 59 |
+
"step": 60
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 1.4854111405835544,
|
| 63 |
+
"grad_norm": 1.086273638096655,
|
| 64 |
+
"learning_rate": 5e-06,
|
| 65 |
+
"loss": 0.7775,
|
| 66 |
+
"step": 70
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 1.6976127320954908,
|
| 70 |
+
"grad_norm": 0.8530841409160277,
|
| 71 |
+
"learning_rate": 5e-06,
|
| 72 |
+
"loss": 0.7712,
|
| 73 |
+
"step": 80
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 1.909814323607427,
|
| 77 |
+
"grad_norm": 0.9564203861190921,
|
| 78 |
+
"learning_rate": 5e-06,
|
| 79 |
+
"loss": 0.7685,
|
| 80 |
+
"step": 90
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 1.9946949602122017,
|
| 84 |
+
"eval_loss": 0.8077705502510071,
|
| 85 |
+
"eval_runtime": 32.1042,
|
| 86 |
+
"eval_samples_per_second": 39.496,
|
| 87 |
+
"eval_steps_per_second": 0.623,
|
| 88 |
+
"step": 94
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 2.1220159151193636,
|
| 92 |
+
"grad_norm": 0.9578045845655985,
|
| 93 |
+
"learning_rate": 5e-06,
|
| 94 |
+
"loss": 0.7936,
|
| 95 |
+
"step": 100
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 2.3342175066313,
|
| 99 |
+
"grad_norm": 0.9574069874226543,
|
| 100 |
+
"learning_rate": 5e-06,
|
| 101 |
+
"loss": 0.704,
|
| 102 |
+
"step": 110
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 2.546419098143236,
|
| 106 |
+
"grad_norm": 0.9815228222710566,
|
| 107 |
+
"learning_rate": 5e-06,
|
| 108 |
+
"loss": 0.7011,
|
| 109 |
+
"step": 120
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 2.7586206896551726,
|
| 113 |
+
"grad_norm": 0.7164262923430226,
|
| 114 |
+
"learning_rate": 5e-06,
|
| 115 |
+
"loss": 0.7046,
|
| 116 |
+
"step": 130
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 2.970822281167109,
|
| 120 |
+
"grad_norm": 0.6859560469508418,
|
| 121 |
+
"learning_rate": 5e-06,
|
| 122 |
+
"loss": 0.7039,
|
| 123 |
+
"step": 140
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 2.9920424403183024,
|
| 127 |
+
"eval_loss": 0.8061403036117554,
|
| 128 |
+
"eval_runtime": 32.7865,
|
| 129 |
+
"eval_samples_per_second": 38.674,
|
| 130 |
+
"eval_steps_per_second": 0.61,
|
| 131 |
+
"step": 141
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 3.183023872679045,
|
| 135 |
+
"grad_norm": 1.6728622068532006,
|
| 136 |
+
"learning_rate": 5e-06,
|
| 137 |
+
"loss": 0.7147,
|
| 138 |
+
"step": 150
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 3.3952254641909816,
|
| 142 |
+
"grad_norm": 1.076369754171639,
|
| 143 |
+
"learning_rate": 5e-06,
|
| 144 |
+
"loss": 0.6462,
|
| 145 |
+
"step": 160
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 3.6074270557029178,
|
| 149 |
+
"grad_norm": 1.691270988321618,
|
| 150 |
+
"learning_rate": 5e-06,
|
| 151 |
+
"loss": 0.6433,
|
| 152 |
+
"step": 170
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 3.819628647214854,
|
| 156 |
+
"grad_norm": 1.3275149656137304,
|
| 157 |
+
"learning_rate": 5e-06,
|
| 158 |
+
"loss": 0.6431,
|
| 159 |
+
"step": 180
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 3.9893899204244034,
|
| 163 |
+
"eval_loss": 0.8146327137947083,
|
| 164 |
+
"eval_runtime": 32.6932,
|
| 165 |
+
"eval_samples_per_second": 38.785,
|
| 166 |
+
"eval_steps_per_second": 0.612,
|
| 167 |
+
"step": 188
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 4.031830238726791,
|
| 171 |
+
"grad_norm": 1.3176702724250047,
|
| 172 |
+
"learning_rate": 5e-06,
|
| 173 |
+
"loss": 0.6923,
|
| 174 |
+
"step": 190
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 4.244031830238727,
|
| 178 |
+
"grad_norm": 1.2849523706132415,
|
| 179 |
+
"learning_rate": 5e-06,
|
| 180 |
+
"loss": 0.5978,
|
| 181 |
+
"step": 200
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 4.456233421750663,
|
| 185 |
+
"grad_norm": 1.165543134012214,
|
| 186 |
+
"learning_rate": 5e-06,
|
| 187 |
+
"loss": 0.5998,
|
| 188 |
+
"step": 210
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 4.6684350132626,
|
| 192 |
+
"grad_norm": 2.2650981857822825,
|
| 193 |
+
"learning_rate": 5e-06,
|
| 194 |
+
"loss": 0.5999,
|
| 195 |
+
"step": 220
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 4.880636604774535,
|
| 199 |
+
"grad_norm": 1.5311735920141092,
|
| 200 |
+
"learning_rate": 5e-06,
|
| 201 |
+
"loss": 0.6047,
|
| 202 |
+
"step": 230
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 4.986737400530504,
|
| 206 |
+
"eval_loss": 0.8365211486816406,
|
| 207 |
+
"eval_runtime": 31.6148,
|
| 208 |
+
"eval_samples_per_second": 40.108,
|
| 209 |
+
"eval_steps_per_second": 0.633,
|
| 210 |
+
"step": 235
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 5.092838196286472,
|
| 214 |
+
"grad_norm": 1.4903267443399042,
|
| 215 |
+
"learning_rate": 5e-06,
|
| 216 |
+
"loss": 0.6357,
|
| 217 |
+
"step": 240
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 5.305039787798409,
|
| 221 |
+
"grad_norm": 1.5203599052418142,
|
| 222 |
+
"learning_rate": 5e-06,
|
| 223 |
+
"loss": 0.5495,
|
| 224 |
+
"step": 250
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 5.517241379310345,
|
| 228 |
+
"grad_norm": 1.3747659230672016,
|
| 229 |
+
"learning_rate": 5e-06,
|
| 230 |
+
"loss": 0.5492,
|
| 231 |
+
"step": 260
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 5.729442970822281,
|
| 235 |
+
"grad_norm": 1.208856854768117,
|
| 236 |
+
"learning_rate": 5e-06,
|
| 237 |
+
"loss": 0.5516,
|
| 238 |
+
"step": 270
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 5.941644562334218,
|
| 242 |
+
"grad_norm": 1.1223364753293816,
|
| 243 |
+
"learning_rate": 5e-06,
|
| 244 |
+
"loss": 0.5574,
|
| 245 |
+
"step": 280
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 5.984084880636605,
|
| 249 |
+
"eval_loss": 0.8701170086860657,
|
| 250 |
+
"eval_runtime": 32.9222,
|
| 251 |
+
"eval_samples_per_second": 38.515,
|
| 252 |
+
"eval_steps_per_second": 0.607,
|
| 253 |
+
"step": 282
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 6.153846153846154,
|
| 257 |
+
"grad_norm": 1.4487459096766189,
|
| 258 |
+
"learning_rate": 5e-06,
|
| 259 |
+
"loss": 0.5594,
|
| 260 |
+
"step": 290
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 6.36604774535809,
|
| 264 |
+
"grad_norm": 2.034326551490109,
|
| 265 |
+
"learning_rate": 5e-06,
|
| 266 |
+
"loss": 0.4983,
|
| 267 |
+
"step": 300
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 6.5782493368700266,
|
| 271 |
+
"grad_norm": 1.282702990668079,
|
| 272 |
+
"learning_rate": 5e-06,
|
| 273 |
+
"loss": 0.5038,
|
| 274 |
+
"step": 310
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 6.790450928381963,
|
| 278 |
+
"grad_norm": 2.2758157820714637,
|
| 279 |
+
"learning_rate": 5e-06,
|
| 280 |
+
"loss": 0.5092,
|
| 281 |
+
"step": 320
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 6.981432360742706,
|
| 285 |
+
"eval_loss": 0.8984044790267944,
|
| 286 |
+
"eval_runtime": 31.7383,
|
| 287 |
+
"eval_samples_per_second": 39.952,
|
| 288 |
+
"eval_steps_per_second": 0.63,
|
| 289 |
+
"step": 329
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 7.002652519893899,
|
| 293 |
+
"grad_norm": 4.357468233816183,
|
| 294 |
+
"learning_rate": 5e-06,
|
| 295 |
+
"loss": 0.552,
|
| 296 |
+
"step": 330
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 7.2148541114058355,
|
| 300 |
+
"grad_norm": 1.592204205786802,
|
| 301 |
+
"learning_rate": 5e-06,
|
| 302 |
+
"loss": 0.4509,
|
| 303 |
+
"step": 340
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 7.427055702917772,
|
| 307 |
+
"grad_norm": 1.3361453914667267,
|
| 308 |
+
"learning_rate": 5e-06,
|
| 309 |
+
"loss": 0.448,
|
| 310 |
+
"step": 350
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 7.639257294429708,
|
| 314 |
+
"grad_norm": 1.5846865233854661,
|
| 315 |
+
"learning_rate": 5e-06,
|
| 316 |
+
"loss": 0.4496,
|
| 317 |
+
"step": 360
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 7.8514588859416445,
|
| 321 |
+
"grad_norm": 1.5574198729516744,
|
| 322 |
+
"learning_rate": 5e-06,
|
| 323 |
+
"loss": 0.4572,
|
| 324 |
+
"step": 370
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 8.0,
|
| 328 |
+
"eval_loss": 0.9556245803833008,
|
| 329 |
+
"eval_runtime": 31.8678,
|
| 330 |
+
"eval_samples_per_second": 39.789,
|
| 331 |
+
"eval_steps_per_second": 0.628,
|
| 332 |
+
"step": 377
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 8.063660477453581,
|
| 336 |
+
"grad_norm": 2.3822031143506552,
|
| 337 |
+
"learning_rate": 5e-06,
|
| 338 |
+
"loss": 0.4809,
|
| 339 |
+
"step": 380
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 8.275862068965518,
|
| 343 |
+
"grad_norm": 1.554691141576395,
|
| 344 |
+
"learning_rate": 5e-06,
|
| 345 |
+
"loss": 0.3978,
|
| 346 |
+
"step": 390
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 8.488063660477454,
|
| 350 |
+
"grad_norm": 1.878197798055658,
|
| 351 |
+
"learning_rate": 5e-06,
|
| 352 |
+
"loss": 0.3968,
|
| 353 |
+
"step": 400
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 8.70026525198939,
|
| 357 |
+
"grad_norm": 1.2857028800822918,
|
| 358 |
+
"learning_rate": 5e-06,
|
| 359 |
+
"loss": 0.3981,
|
| 360 |
+
"step": 410
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 8.912466843501326,
|
| 364 |
+
"grad_norm": 1.4597048758174684,
|
| 365 |
+
"learning_rate": 5e-06,
|
| 366 |
+
"loss": 0.4085,
|
| 367 |
+
"step": 420
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 8.9973474801061,
|
| 371 |
+
"eval_loss": 1.0192773342132568,
|
| 372 |
+
"eval_runtime": 32.6781,
|
| 373 |
+
"eval_samples_per_second": 38.803,
|
| 374 |
+
"eval_steps_per_second": 0.612,
|
| 375 |
+
"step": 424
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 9.124668435013263,
|
| 379 |
+
"grad_norm": 1.8702885363000163,
|
| 380 |
+
"learning_rate": 5e-06,
|
| 381 |
+
"loss": 0.4024,
|
| 382 |
+
"step": 430
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 9.3368700265252,
|
| 386 |
+
"grad_norm": 1.9636785676483195,
|
| 387 |
+
"learning_rate": 5e-06,
|
| 388 |
+
"loss": 0.3435,
|
| 389 |
+
"step": 440
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 9.549071618037136,
|
| 393 |
+
"grad_norm": 1.4123092677374194,
|
| 394 |
+
"learning_rate": 5e-06,
|
| 395 |
+
"loss": 0.3426,
|
| 396 |
+
"step": 450
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 9.761273209549072,
|
| 400 |
+
"grad_norm": 1.7801053638867874,
|
| 401 |
+
"learning_rate": 5e-06,
|
| 402 |
+
"loss": 0.3466,
|
| 403 |
+
"step": 460
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 9.973474801061007,
|
| 407 |
+
"grad_norm": 1.1317251487486244,
|
| 408 |
+
"learning_rate": 5e-06,
|
| 409 |
+
"loss": 0.349,
|
| 410 |
+
"step": 470
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 9.994694960212202,
|
| 414 |
+
"eval_loss": 1.1014161109924316,
|
| 415 |
+
"eval_runtime": 32.4917,
|
| 416 |
+
"eval_samples_per_second": 39.025,
|
| 417 |
+
"eval_steps_per_second": 0.616,
|
| 418 |
+
"step": 471
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 10.185676392572944,
|
| 422 |
+
"grad_norm": 2.1655078722594565,
|
| 423 |
+
"learning_rate": 5e-06,
|
| 424 |
+
"loss": 0.3269,
|
| 425 |
+
"step": 480
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 10.39787798408488,
|
| 429 |
+
"grad_norm": 1.7331574259835252,
|
| 430 |
+
"learning_rate": 5e-06,
|
| 431 |
+
"loss": 0.2895,
|
| 432 |
+
"step": 490
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 10.610079575596817,
|
| 436 |
+
"grad_norm": 1.757727600785744,
|
| 437 |
+
"learning_rate": 5e-06,
|
| 438 |
+
"loss": 0.2906,
|
| 439 |
+
"step": 500
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 10.822281167108754,
|
| 443 |
+
"grad_norm": 1.8474736771296152,
|
| 444 |
+
"learning_rate": 5e-06,
|
| 445 |
+
"loss": 0.2917,
|
| 446 |
+
"step": 510
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 10.992042440318302,
|
| 450 |
+
"eval_loss": 1.1841471195220947,
|
| 451 |
+
"eval_runtime": 32.3162,
|
| 452 |
+
"eval_samples_per_second": 39.237,
|
| 453 |
+
"eval_steps_per_second": 0.619,
|
| 454 |
+
"step": 518
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 11.03448275862069,
|
| 458 |
+
"grad_norm": 1.7267327999463395,
|
| 459 |
+
"learning_rate": 5e-06,
|
| 460 |
+
"loss": 0.3088,
|
| 461 |
+
"step": 520
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 11.246684350132625,
|
| 465 |
+
"grad_norm": 2.101718278173947,
|
| 466 |
+
"learning_rate": 5e-06,
|
| 467 |
+
"loss": 0.2394,
|
| 468 |
+
"step": 530
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 11.458885941644562,
|
| 472 |
+
"grad_norm": 2.39802176985078,
|
| 473 |
+
"learning_rate": 5e-06,
|
| 474 |
+
"loss": 0.2379,
|
| 475 |
+
"step": 540
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 11.671087533156498,
|
| 479 |
+
"grad_norm": 2.7095037713266614,
|
| 480 |
+
"learning_rate": 5e-06,
|
| 481 |
+
"loss": 0.2352,
|
| 482 |
+
"step": 550
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 11.883289124668435,
|
| 486 |
+
"grad_norm": 2.683477020014097,
|
| 487 |
+
"learning_rate": 5e-06,
|
| 488 |
+
"loss": 0.2371,
|
| 489 |
+
"step": 560
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 11.989389920424403,
|
| 493 |
+
"eval_loss": 1.2766014337539673,
|
| 494 |
+
"eval_runtime": 32.9781,
|
| 495 |
+
"eval_samples_per_second": 38.45,
|
| 496 |
+
"eval_steps_per_second": 0.606,
|
| 497 |
+
"step": 565
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 12.095490716180372,
|
| 501 |
+
"grad_norm": 1.7019202766965291,
|
| 502 |
+
"learning_rate": 5e-06,
|
| 503 |
+
"loss": 0.2351,
|
| 504 |
+
"step": 570
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 12.307692307692308,
|
| 508 |
+
"grad_norm": 1.7379326706757747,
|
| 509 |
+
"learning_rate": 5e-06,
|
| 510 |
+
"loss": 0.1892,
|
| 511 |
+
"step": 580
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 12.519893899204243,
|
| 515 |
+
"grad_norm": 1.6744234238634588,
|
| 516 |
+
"learning_rate": 5e-06,
|
| 517 |
+
"loss": 0.1891,
|
| 518 |
+
"step": 590
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 12.73209549071618,
|
| 522 |
+
"grad_norm": 1.7908565943018588,
|
| 523 |
+
"learning_rate": 5e-06,
|
| 524 |
+
"loss": 0.1946,
|
| 525 |
+
"step": 600
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 12.944297082228116,
|
| 529 |
+
"grad_norm": 1.7355938077402586,
|
| 530 |
+
"learning_rate": 5e-06,
|
| 531 |
+
"loss": 0.1947,
|
| 532 |
+
"step": 610
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 12.986737400530505,
|
| 536 |
+
"eval_loss": 1.4153589010238647,
|
| 537 |
+
"eval_runtime": 32.4408,
|
| 538 |
+
"eval_samples_per_second": 39.087,
|
| 539 |
+
"eval_steps_per_second": 0.617,
|
| 540 |
+
"step": 612
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 13.156498673740053,
|
| 544 |
+
"grad_norm": 2.2121832380586337,
|
| 545 |
+
"learning_rate": 5e-06,
|
| 546 |
+
"loss": 0.181,
|
| 547 |
+
"step": 620
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 13.36870026525199,
|
| 551 |
+
"grad_norm": 1.8566391891990948,
|
| 552 |
+
"learning_rate": 5e-06,
|
| 553 |
+
"loss": 0.1524,
|
| 554 |
+
"step": 630
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 13.580901856763926,
|
| 558 |
+
"grad_norm": 2.2967109108979216,
|
| 559 |
+
"learning_rate": 5e-06,
|
| 560 |
+
"loss": 0.154,
|
| 561 |
+
"step": 640
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 13.793103448275861,
|
| 565 |
+
"grad_norm": 1.9965855100429857,
|
| 566 |
+
"learning_rate": 5e-06,
|
| 567 |
+
"loss": 0.1574,
|
| 568 |
+
"step": 650
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 13.984084880636605,
|
| 572 |
+
"eval_loss": 1.5164598226547241,
|
| 573 |
+
"eval_runtime": 32.6332,
|
| 574 |
+
"eval_samples_per_second": 38.856,
|
| 575 |
+
"eval_steps_per_second": 0.613,
|
| 576 |
+
"step": 659
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 14.005305039787798,
|
| 580 |
+
"grad_norm": 4.839196556003606,
|
| 581 |
+
"learning_rate": 5e-06,
|
| 582 |
+
"loss": 0.1685,
|
| 583 |
+
"step": 660
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 14.217506631299734,
|
| 587 |
+
"grad_norm": 2.0883251950819073,
|
| 588 |
+
"learning_rate": 5e-06,
|
| 589 |
+
"loss": 0.121,
|
| 590 |
+
"step": 670
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 14.429708222811671,
|
| 594 |
+
"grad_norm": 2.003030672294221,
|
| 595 |
+
"learning_rate": 5e-06,
|
| 596 |
+
"loss": 0.1197,
|
| 597 |
+
"step": 680
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 14.641909814323608,
|
| 601 |
+
"grad_norm": 1.9136393354275711,
|
| 602 |
+
"learning_rate": 5e-06,
|
| 603 |
+
"loss": 0.1219,
|
| 604 |
+
"step": 690
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 14.854111405835544,
|
| 608 |
+
"grad_norm": 1.6240243583531413,
|
| 609 |
+
"learning_rate": 5e-06,
|
| 610 |
+
"loss": 0.1248,
|
| 611 |
+
"step": 700
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 14.981432360742705,
|
| 615 |
+
"eval_loss": 1.6125339269638062,
|
| 616 |
+
"eval_runtime": 32.5362,
|
| 617 |
+
"eval_samples_per_second": 38.972,
|
| 618 |
+
"eval_steps_per_second": 0.615,
|
| 619 |
+
"step": 706
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 15.066312997347481,
|
| 623 |
+
"grad_norm": 2.2244191294492976,
|
| 624 |
+
"learning_rate": 5e-06,
|
| 625 |
+
"loss": 0.1246,
|
| 626 |
+
"step": 710
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 15.278514588859416,
|
| 630 |
+
"grad_norm": 2.1641176421594506,
|
| 631 |
+
"learning_rate": 5e-06,
|
| 632 |
+
"loss": 0.0923,
|
| 633 |
+
"step": 720
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 15.490716180371352,
|
| 637 |
+
"grad_norm": 2.582841456476548,
|
| 638 |
+
"learning_rate": 5e-06,
|
| 639 |
+
"loss": 0.0942,
|
| 640 |
+
"step": 730
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 15.702917771883289,
|
| 644 |
+
"grad_norm": 2.9053199582126483,
|
| 645 |
+
"learning_rate": 5e-06,
|
| 646 |
+
"loss": 0.0932,
|
| 647 |
+
"step": 740
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 15.915119363395226,
|
| 651 |
+
"grad_norm": 1.896737007332198,
|
| 652 |
+
"learning_rate": 5e-06,
|
| 653 |
+
"loss": 0.0949,
|
| 654 |
+
"step": 750
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 16.0,
|
| 658 |
+
"eval_loss": 1.7871086597442627,
|
| 659 |
+
"eval_runtime": 32.5696,
|
| 660 |
+
"eval_samples_per_second": 38.932,
|
| 661 |
+
"eval_steps_per_second": 0.614,
|
| 662 |
+
"step": 754
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 16.127320954907162,
|
| 666 |
+
"grad_norm": 1.6494570910358723,
|
| 667 |
+
"learning_rate": 5e-06,
|
| 668 |
+
"loss": 0.085,
|
| 669 |
+
"step": 760
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 16.339522546419097,
|
| 673 |
+
"grad_norm": 2.2366499270746947,
|
| 674 |
+
"learning_rate": 5e-06,
|
| 675 |
+
"loss": 0.0696,
|
| 676 |
+
"step": 770
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 16.551724137931036,
|
| 680 |
+
"grad_norm": 2.9537867572779533,
|
| 681 |
+
"learning_rate": 5e-06,
|
| 682 |
+
"loss": 0.0718,
|
| 683 |
+
"step": 780
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 16.76392572944297,
|
| 687 |
+
"grad_norm": 1.9892936590980974,
|
| 688 |
+
"learning_rate": 5e-06,
|
| 689 |
+
"loss": 0.0735,
|
| 690 |
+
"step": 790
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 16.97612732095491,
|
| 694 |
+
"grad_norm": 2.7303551854343326,
|
| 695 |
+
"learning_rate": 5e-06,
|
| 696 |
+
"loss": 0.072,
|
| 697 |
+
"step": 800
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 16.9973474801061,
|
| 701 |
+
"eval_loss": 1.84310781955719,
|
| 702 |
+
"eval_runtime": 31.922,
|
| 703 |
+
"eval_samples_per_second": 39.722,
|
| 704 |
+
"eval_steps_per_second": 0.627,
|
| 705 |
+
"step": 801
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 17.188328912466844,
|
| 709 |
+
"grad_norm": 2.3365061927376347,
|
| 710 |
+
"learning_rate": 5e-06,
|
| 711 |
+
"loss": 0.0602,
|
| 712 |
+
"step": 810
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 17.40053050397878,
|
| 716 |
+
"grad_norm": 2.0965657939589075,
|
| 717 |
+
"learning_rate": 5e-06,
|
| 718 |
+
"loss": 0.0531,
|
| 719 |
+
"step": 820
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 17.612732095490717,
|
| 723 |
+
"grad_norm": 1.9579339715456343,
|
| 724 |
+
"learning_rate": 5e-06,
|
| 725 |
+
"loss": 0.0553,
|
| 726 |
+
"step": 830
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 17.824933687002652,
|
| 730 |
+
"grad_norm": 1.9356741166585654,
|
| 731 |
+
"learning_rate": 5e-06,
|
| 732 |
+
"loss": 0.0557,
|
| 733 |
+
"step": 840
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 17.9946949602122,
|
| 737 |
+
"eval_loss": 1.8931316137313843,
|
| 738 |
+
"eval_runtime": 33.3328,
|
| 739 |
+
"eval_samples_per_second": 38.041,
|
| 740 |
+
"eval_steps_per_second": 0.6,
|
| 741 |
+
"step": 848
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 18.03713527851459,
|
| 745 |
+
"grad_norm": 1.7227426111374013,
|
| 746 |
+
"learning_rate": 5e-06,
|
| 747 |
+
"loss": 0.0588,
|
| 748 |
+
"step": 850
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 18.249336870026525,
|
| 752 |
+
"grad_norm": 1.5717755778853983,
|
| 753 |
+
"learning_rate": 5e-06,
|
| 754 |
+
"loss": 0.0431,
|
| 755 |
+
"step": 860
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 18.46153846153846,
|
| 759 |
+
"grad_norm": 1.6003153480178844,
|
| 760 |
+
"learning_rate": 5e-06,
|
| 761 |
+
"loss": 0.0448,
|
| 762 |
+
"step": 870
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 18.6737400530504,
|
| 766 |
+
"grad_norm": 1.5091423093175478,
|
| 767 |
+
"learning_rate": 5e-06,
|
| 768 |
+
"loss": 0.0459,
|
| 769 |
+
"step": 880
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 18.885941644562333,
|
| 773 |
+
"grad_norm": 1.7154544380044592,
|
| 774 |
+
"learning_rate": 5e-06,
|
| 775 |
+
"loss": 0.0476,
|
| 776 |
+
"step": 890
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 18.9920424403183,
|
| 780 |
+
"eval_loss": 1.883098840713501,
|
| 781 |
+
"eval_runtime": 32.7835,
|
| 782 |
+
"eval_samples_per_second": 38.678,
|
| 783 |
+
"eval_steps_per_second": 0.61,
|
| 784 |
+
"step": 895
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 19.09814323607427,
|
| 788 |
+
"grad_norm": 2.014020013459049,
|
| 789 |
+
"learning_rate": 5e-06,
|
| 790 |
+
"loss": 0.0489,
|
| 791 |
+
"step": 900
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 19.310344827586206,
|
| 795 |
+
"grad_norm": 1.5701588836620408,
|
| 796 |
+
"learning_rate": 5e-06,
|
| 797 |
+
"loss": 0.0356,
|
| 798 |
+
"step": 910
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 19.522546419098145,
|
| 802 |
+
"grad_norm": 1.9900820501837289,
|
| 803 |
+
"learning_rate": 5e-06,
|
| 804 |
+
"loss": 0.0394,
|
| 805 |
+
"step": 920
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 19.73474801061008,
|
| 809 |
+
"grad_norm": 1.5730119274594596,
|
| 810 |
+
"learning_rate": 5e-06,
|
| 811 |
+
"loss": 0.0385,
|
| 812 |
+
"step": 930
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 19.946949602122015,
|
| 816 |
+
"grad_norm": 1.5012495553271223,
|
| 817 |
+
"learning_rate": 5e-06,
|
| 818 |
+
"loss": 0.0389,
|
| 819 |
+
"step": 940
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 19.989389920424404,
|
| 823 |
+
"eval_loss": 2.0264878273010254,
|
| 824 |
+
"eval_runtime": 37.519,
|
| 825 |
+
"eval_samples_per_second": 33.796,
|
| 826 |
+
"eval_steps_per_second": 0.533,
|
| 827 |
+
"step": 942
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 20.159151193633953,
|
| 831 |
+
"grad_norm": 1.5098992493693495,
|
| 832 |
+
"learning_rate": 5e-06,
|
| 833 |
+
"loss": 0.0333,
|
| 834 |
+
"step": 950
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 20.371352785145888,
|
| 838 |
+
"grad_norm": 1.432073899246155,
|
| 839 |
+
"learning_rate": 5e-06,
|
| 840 |
+
"loss": 0.0302,
|
| 841 |
+
"step": 960
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 20.583554376657826,
|
| 845 |
+
"grad_norm": 1.3305227752590898,
|
| 846 |
+
"learning_rate": 5e-06,
|
| 847 |
+
"loss": 0.0318,
|
| 848 |
+
"step": 970
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 20.79575596816976,
|
| 852 |
+
"grad_norm": 1.4596501984190517,
|
| 853 |
+
"learning_rate": 5e-06,
|
| 854 |
+
"loss": 0.0326,
|
| 855 |
+
"step": 980
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 20.986737400530505,
|
| 859 |
+
"eval_loss": 2.019073486328125,
|
| 860 |
+
"eval_runtime": 32.0589,
|
| 861 |
+
"eval_samples_per_second": 39.552,
|
| 862 |
+
"eval_steps_per_second": 0.624,
|
| 863 |
+
"step": 989
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 21.007957559681696,
|
| 867 |
+
"grad_norm": 3.134413308495841,
|
| 868 |
+
"learning_rate": 5e-06,
|
| 869 |
+
"loss": 0.0363,
|
| 870 |
+
"step": 990
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 21.220159151193634,
|
| 874 |
+
"grad_norm": 1.6180713225455596,
|
| 875 |
+
"learning_rate": 5e-06,
|
| 876 |
+
"loss": 0.0253,
|
| 877 |
+
"step": 1000
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 21.43236074270557,
|
| 881 |
+
"grad_norm": 1.4753859680921968,
|
| 882 |
+
"learning_rate": 5e-06,
|
| 883 |
+
"loss": 0.0273,
|
| 884 |
+
"step": 1010
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 21.644562334217508,
|
| 888 |
+
"grad_norm": 1.520441812046494,
|
| 889 |
+
"learning_rate": 5e-06,
|
| 890 |
+
"loss": 0.0288,
|
| 891 |
+
"step": 1020
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 21.856763925729442,
|
| 895 |
+
"grad_norm": 1.366187738683794,
|
| 896 |
+
"learning_rate": 5e-06,
|
| 897 |
+
"loss": 0.0289,
|
| 898 |
+
"step": 1030
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 21.984084880636605,
|
| 902 |
+
"eval_loss": 2.077552318572998,
|
| 903 |
+
"eval_runtime": 32.832,
|
| 904 |
+
"eval_samples_per_second": 38.621,
|
| 905 |
+
"eval_steps_per_second": 0.609,
|
| 906 |
+
"step": 1036
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 22.06896551724138,
|
| 910 |
+
"grad_norm": 1.3144650513341445,
|
| 911 |
+
"learning_rate": 5e-06,
|
| 912 |
+
"loss": 0.0287,
|
| 913 |
+
"step": 1040
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 22.281167108753316,
|
| 917 |
+
"grad_norm": 1.5212514971657123,
|
| 918 |
+
"learning_rate": 5e-06,
|
| 919 |
+
"loss": 0.0215,
|
| 920 |
+
"step": 1050
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 22.49336870026525,
|
| 924 |
+
"grad_norm": 1.405610187558701,
|
| 925 |
+
"learning_rate": 5e-06,
|
| 926 |
+
"loss": 0.0233,
|
| 927 |
+
"step": 1060
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 22.70557029177719,
|
| 931 |
+
"grad_norm": 1.3895812912929395,
|
| 932 |
+
"learning_rate": 5e-06,
|
| 933 |
+
"loss": 0.0243,
|
| 934 |
+
"step": 1070
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 22.917771883289124,
|
| 938 |
+
"grad_norm": 1.3560427478757406,
|
| 939 |
+
"learning_rate": 5e-06,
|
| 940 |
+
"loss": 0.0241,
|
| 941 |
+
"step": 1080
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 22.981432360742705,
|
| 945 |
+
"eval_loss": 2.1364665031433105,
|
| 946 |
+
"eval_runtime": 32.7239,
|
| 947 |
+
"eval_samples_per_second": 38.748,
|
| 948 |
+
"eval_steps_per_second": 0.611,
|
| 949 |
+
"step": 1083
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 23.129973474801062,
|
| 953 |
+
"grad_norm": 1.147605923465172,
|
| 954 |
+
"learning_rate": 5e-06,
|
| 955 |
+
"loss": 0.0222,
|
| 956 |
+
"step": 1090
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 23.342175066312997,
|
| 960 |
+
"grad_norm": 1.0896438686399077,
|
| 961 |
+
"learning_rate": 5e-06,
|
| 962 |
+
"loss": 0.0189,
|
| 963 |
+
"step": 1100
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 23.554376657824935,
|
| 967 |
+
"grad_norm": 1.159385305063578,
|
| 968 |
+
"learning_rate": 5e-06,
|
| 969 |
+
"loss": 0.0202,
|
| 970 |
+
"step": 1110
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 23.76657824933687,
|
| 974 |
+
"grad_norm": 1.43114641035156,
|
| 975 |
+
"learning_rate": 5e-06,
|
| 976 |
+
"loss": 0.0216,
|
| 977 |
+
"step": 1120
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 23.978779840848805,
|
| 981 |
+
"grad_norm": 1.979577755352171,
|
| 982 |
+
"learning_rate": 5e-06,
|
| 983 |
+
"loss": 0.0224,
|
| 984 |
+
"step": 1130
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 24.0,
|
| 988 |
+
"eval_loss": 2.163296937942505,
|
| 989 |
+
"eval_runtime": 32.7165,
|
| 990 |
+
"eval_samples_per_second": 38.757,
|
| 991 |
+
"eval_steps_per_second": 0.611,
|
| 992 |
+
"step": 1131
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 24.190981432360743,
|
| 996 |
+
"grad_norm": 1.1544811255102911,
|
| 997 |
+
"learning_rate": 5e-06,
|
| 998 |
+
"loss": 0.0182,
|
| 999 |
+
"step": 1140
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 24.40318302387268,
|
| 1003 |
+
"grad_norm": 1.3454197249206041,
|
| 1004 |
+
"learning_rate": 5e-06,
|
| 1005 |
+
"loss": 0.0176,
|
| 1006 |
+
"step": 1150
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 24.615384615384617,
|
| 1010 |
+
"grad_norm": 1.203233332523257,
|
| 1011 |
+
"learning_rate": 5e-06,
|
| 1012 |
+
"loss": 0.0186,
|
| 1013 |
+
"step": 1160
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 24.82758620689655,
|
| 1017 |
+
"grad_norm": 1.1333438773996702,
|
| 1018 |
+
"learning_rate": 5e-06,
|
| 1019 |
+
"loss": 0.0186,
|
| 1020 |
+
"step": 1170
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 24.9973474801061,
|
| 1024 |
+
"eval_loss": 2.14928936958313,
|
| 1025 |
+
"eval_runtime": 33.4155,
|
| 1026 |
+
"eval_samples_per_second": 37.946,
|
| 1027 |
+
"eval_steps_per_second": 0.599,
|
| 1028 |
+
"step": 1178
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 25.039787798408486,
|
| 1032 |
+
"grad_norm": 0.9263446232803251,
|
| 1033 |
+
"learning_rate": 5e-06,
|
| 1034 |
+
"loss": 0.0186,
|
| 1035 |
+
"step": 1180
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 25.251989389920425,
|
| 1039 |
+
"grad_norm": 1.0317288058888185,
|
| 1040 |
+
"learning_rate": 5e-06,
|
| 1041 |
+
"loss": 0.0138,
|
| 1042 |
+
"step": 1190
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 25.46419098143236,
|
| 1046 |
+
"grad_norm": 1.0131976453838234,
|
| 1047 |
+
"learning_rate": 5e-06,
|
| 1048 |
+
"loss": 0.0154,
|
| 1049 |
+
"step": 1200
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 25.676392572944298,
|
| 1053 |
+
"grad_norm": 1.1834224981337875,
|
| 1054 |
+
"learning_rate": 5e-06,
|
| 1055 |
+
"loss": 0.0165,
|
| 1056 |
+
"step": 1210
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 25.888594164456233,
|
| 1060 |
+
"grad_norm": 1.0253970500734395,
|
| 1061 |
+
"learning_rate": 5e-06,
|
| 1062 |
+
"loss": 0.0168,
|
| 1063 |
+
"step": 1220
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 25.9946949602122,
|
| 1067 |
+
"eval_loss": 2.188133955001831,
|
| 1068 |
+
"eval_runtime": 32.6658,
|
| 1069 |
+
"eval_samples_per_second": 38.817,
|
| 1070 |
+
"eval_steps_per_second": 0.612,
|
| 1071 |
+
"step": 1225
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 26.10079575596817,
|
| 1075 |
+
"grad_norm": 1.0388372032250064,
|
| 1076 |
+
"learning_rate": 5e-06,
|
| 1077 |
+
"loss": 0.0164,
|
| 1078 |
+
"step": 1230
|
| 1079 |
+
},
|
| 1080 |
+
{
|
| 1081 |
+
"epoch": 26.312997347480106,
|
| 1082 |
+
"grad_norm": 1.0513592352431824,
|
| 1083 |
+
"learning_rate": 5e-06,
|
| 1084 |
+
"loss": 0.0146,
|
| 1085 |
+
"step": 1240
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 26.52519893899204,
|
| 1089 |
+
"grad_norm": 1.0736349361860325,
|
| 1090 |
+
"learning_rate": 5e-06,
|
| 1091 |
+
"loss": 0.0157,
|
| 1092 |
+
"step": 1250
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 26.73740053050398,
|
| 1096 |
+
"grad_norm": 1.0758837847097473,
|
| 1097 |
+
"learning_rate": 5e-06,
|
| 1098 |
+
"loss": 0.0161,
|
| 1099 |
+
"step": 1260
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 26.949602122015914,
|
| 1103 |
+
"grad_norm": 1.0851440646860222,
|
| 1104 |
+
"learning_rate": 5e-06,
|
| 1105 |
+
"loss": 0.0165,
|
| 1106 |
+
"step": 1270
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 26.9920424403183,
|
| 1110 |
+
"eval_loss": 2.211845636367798,
|
| 1111 |
+
"eval_runtime": 32.9121,
|
| 1112 |
+
"eval_samples_per_second": 38.527,
|
| 1113 |
+
"eval_steps_per_second": 0.608,
|
| 1114 |
+
"step": 1272
|
| 1115 |
+
},
|
| 1116 |
+
{
|
| 1117 |
+
"epoch": 27.161803713527853,
|
| 1118 |
+
"grad_norm": 0.9742233097083803,
|
| 1119 |
+
"learning_rate": 5e-06,
|
| 1120 |
+
"loss": 0.0143,
|
| 1121 |
+
"step": 1280
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 27.374005305039788,
|
| 1125 |
+
"grad_norm": 0.9639415253464677,
|
| 1126 |
+
"learning_rate": 5e-06,
|
| 1127 |
+
"loss": 0.0137,
|
| 1128 |
+
"step": 1290
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 27.586206896551722,
|
| 1132 |
+
"grad_norm": 0.93268451813857,
|
| 1133 |
+
"learning_rate": 5e-06,
|
| 1134 |
+
"loss": 0.0143,
|
| 1135 |
+
"step": 1300
|
| 1136 |
+
},
|
| 1137 |
+
{
|
| 1138 |
+
"epoch": 27.79840848806366,
|
| 1139 |
+
"grad_norm": 0.978519779739182,
|
| 1140 |
+
"learning_rate": 5e-06,
|
| 1141 |
+
"loss": 0.0149,
|
| 1142 |
+
"step": 1310
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 27.989389920424404,
|
| 1146 |
+
"eval_loss": 2.1889731884002686,
|
| 1147 |
+
"eval_runtime": 32.8239,
|
| 1148 |
+
"eval_samples_per_second": 38.63,
|
| 1149 |
+
"eval_steps_per_second": 0.609,
|
| 1150 |
+
"step": 1319
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 28.010610079575596,
|
| 1154 |
+
"grad_norm": 2.6179762594155402,
|
| 1155 |
+
"learning_rate": 5e-06,
|
| 1156 |
+
"loss": 0.0161,
|
| 1157 |
+
"step": 1320
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 28.222811671087534,
|
| 1161 |
+
"grad_norm": 0.9628432697750134,
|
| 1162 |
+
"learning_rate": 5e-06,
|
| 1163 |
+
"loss": 0.0119,
|
| 1164 |
+
"step": 1330
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 28.43501326259947,
|
| 1168 |
+
"grad_norm": 0.8501399077558901,
|
| 1169 |
+
"learning_rate": 5e-06,
|
| 1170 |
+
"loss": 0.0127,
|
| 1171 |
+
"step": 1340
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 28.647214854111407,
|
| 1175 |
+
"grad_norm": 1.0038378892088047,
|
| 1176 |
+
"learning_rate": 5e-06,
|
| 1177 |
+
"loss": 0.0136,
|
| 1178 |
+
"step": 1350
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 28.859416445623342,
|
| 1182 |
+
"grad_norm": 0.9223553139407697,
|
| 1183 |
+
"learning_rate": 5e-06,
|
| 1184 |
+
"loss": 0.0138,
|
| 1185 |
+
"step": 1360
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 28.986737400530505,
|
| 1189 |
+
"eval_loss": 2.2227890491485596,
|
| 1190 |
+
"eval_runtime": 32.1693,
|
| 1191 |
+
"eval_samples_per_second": 39.417,
|
| 1192 |
+
"eval_steps_per_second": 0.622,
|
| 1193 |
+
"step": 1366
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 29.071618037135277,
|
| 1197 |
+
"grad_norm": 0.8032133641841613,
|
| 1198 |
+
"learning_rate": 5e-06,
|
| 1199 |
+
"loss": 0.0139,
|
| 1200 |
+
"step": 1370
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 29.283819628647215,
|
| 1204 |
+
"grad_norm": 0.8321011346505933,
|
| 1205 |
+
"learning_rate": 5e-06,
|
| 1206 |
+
"loss": 0.011,
|
| 1207 |
+
"step": 1380
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 29.49602122015915,
|
| 1211 |
+
"grad_norm": 0.8736295486217439,
|
| 1212 |
+
"learning_rate": 5e-06,
|
| 1213 |
+
"loss": 0.0116,
|
| 1214 |
+
"step": 1390
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 29.70822281167109,
|
| 1218 |
+
"grad_norm": 1.239316698556453,
|
| 1219 |
+
"learning_rate": 5e-06,
|
| 1220 |
+
"loss": 0.0121,
|
| 1221 |
+
"step": 1400
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 29.920424403183024,
|
| 1225 |
+
"grad_norm": 1.033173007202482,
|
| 1226 |
+
"learning_rate": 5e-06,
|
| 1227 |
+
"loss": 0.0124,
|
| 1228 |
+
"step": 1410
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 29.984084880636605,
|
| 1232 |
+
"eval_loss": 2.2380588054656982,
|
| 1233 |
+
"eval_runtime": 31.9905,
|
| 1234 |
+
"eval_samples_per_second": 39.637,
|
| 1235 |
+
"eval_steps_per_second": 0.625,
|
| 1236 |
+
"step": 1413
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 30.132625994694962,
|
| 1240 |
+
"grad_norm": 0.7511405265787311,
|
| 1241 |
+
"learning_rate": 5e-06,
|
| 1242 |
+
"loss": 0.0106,
|
| 1243 |
+
"step": 1420
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 30.344827586206897,
|
| 1247 |
+
"grad_norm": 0.6938569699332628,
|
| 1248 |
+
"learning_rate": 5e-06,
|
| 1249 |
+
"loss": 0.009,
|
| 1250 |
+
"step": 1430
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 30.55702917771883,
|
| 1254 |
+
"grad_norm": 0.7309423477128169,
|
| 1255 |
+
"learning_rate": 5e-06,
|
| 1256 |
+
"loss": 0.0093,
|
| 1257 |
+
"step": 1440
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 30.76923076923077,
|
| 1261 |
+
"grad_norm": 0.7103092460743347,
|
| 1262 |
+
"learning_rate": 5e-06,
|
| 1263 |
+
"loss": 0.0095,
|
| 1264 |
+
"step": 1450
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 30.981432360742705,
|
| 1268 |
+
"grad_norm": 0.7947013023037236,
|
| 1269 |
+
"learning_rate": 5e-06,
|
| 1270 |
+
"loss": 0.0099,
|
| 1271 |
+
"step": 1460
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 30.981432360742705,
|
| 1275 |
+
"eval_loss": 2.263244867324829,
|
| 1276 |
+
"eval_runtime": 33.3048,
|
| 1277 |
+
"eval_samples_per_second": 38.073,
|
| 1278 |
+
"eval_steps_per_second": 0.601,
|
| 1279 |
+
"step": 1460
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 31.193633952254643,
|
| 1283 |
+
"grad_norm": 0.6749561333798396,
|
| 1284 |
+
"learning_rate": 5e-06,
|
| 1285 |
+
"loss": 0.0083,
|
| 1286 |
+
"step": 1470
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 31.405835543766578,
|
| 1290 |
+
"grad_norm": 0.6898931957456894,
|
| 1291 |
+
"learning_rate": 5e-06,
|
| 1292 |
+
"loss": 0.008,
|
| 1293 |
+
"step": 1480
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 31.618037135278513,
|
| 1297 |
+
"grad_norm": 0.6719664872444241,
|
| 1298 |
+
"learning_rate": 5e-06,
|
| 1299 |
+
"loss": 0.0082,
|
| 1300 |
+
"step": 1490
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 31.83023872679045,
|
| 1304 |
+
"grad_norm": 0.7248012671374453,
|
| 1305 |
+
"learning_rate": 5e-06,
|
| 1306 |
+
"loss": 0.0082,
|
| 1307 |
+
"step": 1500
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 32.0,
|
| 1311 |
+
"eval_loss": 2.3144571781158447,
|
| 1312 |
+
"eval_runtime": 33.5461,
|
| 1313 |
+
"eval_samples_per_second": 37.799,
|
| 1314 |
+
"eval_steps_per_second": 0.596,
|
| 1315 |
+
"step": 1508
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 32.04244031830239,
|
| 1319 |
+
"grad_norm": 0.642502415212224,
|
| 1320 |
+
"learning_rate": 5e-06,
|
| 1321 |
+
"loss": 0.0083,
|
| 1322 |
+
"step": 1510
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 32.254641909814325,
|
| 1326 |
+
"grad_norm": 0.6750575672896434,
|
| 1327 |
+
"learning_rate": 5e-06,
|
| 1328 |
+
"loss": 0.0066,
|
| 1329 |
+
"step": 1520
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 32.46684350132626,
|
| 1333 |
+
"grad_norm": 0.6782281447393,
|
| 1334 |
+
"learning_rate": 5e-06,
|
| 1335 |
+
"loss": 0.0071,
|
| 1336 |
+
"step": 1530
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 32.679045092838194,
|
| 1340 |
+
"grad_norm": 0.7155458048712252,
|
| 1341 |
+
"learning_rate": 5e-06,
|
| 1342 |
+
"loss": 0.0071,
|
| 1343 |
+
"step": 1540
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 32.89124668435013,
|
| 1347 |
+
"grad_norm": 0.6787150629611534,
|
| 1348 |
+
"learning_rate": 5e-06,
|
| 1349 |
+
"loss": 0.0074,
|
| 1350 |
+
"step": 1550
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 32.9973474801061,
|
| 1354 |
+
"eval_loss": 2.3310482501983643,
|
| 1355 |
+
"eval_runtime": 33.0545,
|
| 1356 |
+
"eval_samples_per_second": 38.361,
|
| 1357 |
+
"eval_steps_per_second": 0.605,
|
| 1358 |
+
"step": 1555
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 33.10344827586207,
|
| 1362 |
+
"grad_norm": 0.5900207584722631,
|
| 1363 |
+
"learning_rate": 5e-06,
|
| 1364 |
+
"loss": 0.0069,
|
| 1365 |
+
"step": 1560
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 33.315649867374006,
|
| 1369 |
+
"grad_norm": 0.6084245597689188,
|
| 1370 |
+
"learning_rate": 5e-06,
|
| 1371 |
+
"loss": 0.0061,
|
| 1372 |
+
"step": 1570
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"epoch": 33.52785145888594,
|
| 1376 |
+
"grad_norm": 0.6170471226633736,
|
| 1377 |
+
"learning_rate": 5e-06,
|
| 1378 |
+
"loss": 0.0063,
|
| 1379 |
+
"step": 1580
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 33.740053050397876,
|
| 1383 |
+
"grad_norm": 0.5824013278619694,
|
| 1384 |
+
"learning_rate": 5e-06,
|
| 1385 |
+
"loss": 0.0063,
|
| 1386 |
+
"step": 1590
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 33.95225464190982,
|
| 1390 |
+
"grad_norm": 0.574935717379339,
|
| 1391 |
+
"learning_rate": 5e-06,
|
| 1392 |
+
"loss": 0.0063,
|
| 1393 |
+
"step": 1600
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 33.9946949602122,
|
| 1397 |
+
"eval_loss": 2.289428472518921,
|
| 1398 |
+
"eval_runtime": 32.1588,
|
| 1399 |
+
"eval_samples_per_second": 39.429,
|
| 1400 |
+
"eval_steps_per_second": 0.622,
|
| 1401 |
+
"step": 1602
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 34.16445623342175,
|
| 1405 |
+
"grad_norm": 0.5109802634209422,
|
| 1406 |
+
"learning_rate": 5e-06,
|
| 1407 |
+
"loss": 0.0058,
|
| 1408 |
+
"step": 1610
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 34.37665782493369,
|
| 1412 |
+
"grad_norm": 0.5703404470782183,
|
| 1413 |
+
"learning_rate": 5e-06,
|
| 1414 |
+
"loss": 0.0057,
|
| 1415 |
+
"step": 1620
|
| 1416 |
+
},
|
| 1417 |
+
{
|
| 1418 |
+
"epoch": 34.58885941644562,
|
| 1419 |
+
"grad_norm": 0.5845533088266871,
|
| 1420 |
+
"learning_rate": 5e-06,
|
| 1421 |
+
"loss": 0.0059,
|
| 1422 |
+
"step": 1630
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 34.80106100795756,
|
| 1426 |
+
"grad_norm": 0.5434421907385044,
|
| 1427 |
+
"learning_rate": 5e-06,
|
| 1428 |
+
"loss": 0.0058,
|
| 1429 |
+
"step": 1640
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 34.9920424403183,
|
| 1433 |
+
"eval_loss": 2.308171033859253,
|
| 1434 |
+
"eval_runtime": 31.9291,
|
| 1435 |
+
"eval_samples_per_second": 39.713,
|
| 1436 |
+
"eval_steps_per_second": 0.626,
|
| 1437 |
+
"step": 1649
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 35.0132625994695,
|
| 1441 |
+
"grad_norm": 1.8204121159165139,
|
| 1442 |
+
"learning_rate": 5e-06,
|
| 1443 |
+
"loss": 0.006,
|
| 1444 |
+
"step": 1650
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 35.225464190981434,
|
| 1448 |
+
"grad_norm": 0.5723754658113271,
|
| 1449 |
+
"learning_rate": 5e-06,
|
| 1450 |
+
"loss": 0.0048,
|
| 1451 |
+
"step": 1660
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 35.43766578249337,
|
| 1455 |
+
"grad_norm": 0.5310678098630937,
|
| 1456 |
+
"learning_rate": 5e-06,
|
| 1457 |
+
"loss": 0.005,
|
| 1458 |
+
"step": 1670
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 35.649867374005304,
|
| 1462 |
+
"grad_norm": 0.5594010683218659,
|
| 1463 |
+
"learning_rate": 5e-06,
|
| 1464 |
+
"loss": 0.005,
|
| 1465 |
+
"step": 1680
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 35.86206896551724,
|
| 1469 |
+
"grad_norm": 0.4969648772589551,
|
| 1470 |
+
"learning_rate": 5e-06,
|
| 1471 |
+
"loss": 0.0051,
|
| 1472 |
+
"step": 1690
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 35.9893899204244,
|
| 1476 |
+
"eval_loss": 2.328826904296875,
|
| 1477 |
+
"eval_runtime": 32.454,
|
| 1478 |
+
"eval_samples_per_second": 39.071,
|
| 1479 |
+
"eval_steps_per_second": 0.616,
|
| 1480 |
+
"step": 1696
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 36.07427055702918,
|
| 1484 |
+
"grad_norm": 0.47292878730853377,
|
| 1485 |
+
"learning_rate": 5e-06,
|
| 1486 |
+
"loss": 0.005,
|
| 1487 |
+
"step": 1700
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 36.286472148541115,
|
| 1491 |
+
"grad_norm": 0.5911894774260973,
|
| 1492 |
+
"learning_rate": 5e-06,
|
| 1493 |
+
"loss": 0.0046,
|
| 1494 |
+
"step": 1710
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 36.49867374005305,
|
| 1498 |
+
"grad_norm": 0.5004138206777041,
|
| 1499 |
+
"learning_rate": 5e-06,
|
| 1500 |
+
"loss": 0.0048,
|
| 1501 |
+
"step": 1720
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 36.710875331564985,
|
| 1505 |
+
"grad_norm": 0.5061114377066651,
|
| 1506 |
+
"learning_rate": 5e-06,
|
| 1507 |
+
"loss": 0.0047,
|
| 1508 |
+
"step": 1730
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 36.92307692307692,
|
| 1512 |
+
"grad_norm": 0.4913330473751306,
|
| 1513 |
+
"learning_rate": 5e-06,
|
| 1514 |
+
"loss": 0.0048,
|
| 1515 |
+
"step": 1740
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 36.9867374005305,
|
| 1519 |
+
"eval_loss": 2.3886594772338867,
|
| 1520 |
+
"eval_runtime": 33.1238,
|
| 1521 |
+
"eval_samples_per_second": 38.281,
|
| 1522 |
+
"eval_steps_per_second": 0.604,
|
| 1523 |
+
"step": 1743
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 37.13527851458886,
|
| 1527 |
+
"grad_norm": 0.5277525796544313,
|
| 1528 |
+
"learning_rate": 5e-06,
|
| 1529 |
+
"loss": 0.0047,
|
| 1530 |
+
"step": 1750
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 37.3474801061008,
|
| 1534 |
+
"grad_norm": 0.4695171734409881,
|
| 1535 |
+
"learning_rate": 5e-06,
|
| 1536 |
+
"loss": 0.0045,
|
| 1537 |
+
"step": 1760
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 37.55968169761273,
|
| 1541 |
+
"grad_norm": 0.4873411553809643,
|
| 1542 |
+
"learning_rate": 5e-06,
|
| 1543 |
+
"loss": 0.0046,
|
| 1544 |
+
"step": 1770
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 37.771883289124666,
|
| 1548 |
+
"grad_norm": 0.491661099681712,
|
| 1549 |
+
"learning_rate": 5e-06,
|
| 1550 |
+
"loss": 0.0046,
|
| 1551 |
+
"step": 1780
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 37.98408488063661,
|
| 1555 |
+
"grad_norm": 0.4870902665440451,
|
| 1556 |
+
"learning_rate": 5e-06,
|
| 1557 |
+
"loss": 0.0047,
|
| 1558 |
+
"step": 1790
|
| 1559 |
+
},
|
| 1560 |
+
{
|
| 1561 |
+
"epoch": 37.98408488063661,
|
| 1562 |
+
"eval_loss": 2.3352954387664795,
|
| 1563 |
+
"eval_runtime": 32.7237,
|
| 1564 |
+
"eval_samples_per_second": 38.749,
|
| 1565 |
+
"eval_steps_per_second": 0.611,
|
| 1566 |
+
"step": 1790
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 38.19628647214854,
|
| 1570 |
+
"grad_norm": 0.4917736009333884,
|
| 1571 |
+
"learning_rate": 5e-06,
|
| 1572 |
+
"loss": 0.0042,
|
| 1573 |
+
"step": 1800
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 38.40848806366048,
|
| 1577 |
+
"grad_norm": 0.4772998993497948,
|
| 1578 |
+
"learning_rate": 5e-06,
|
| 1579 |
+
"loss": 0.0043,
|
| 1580 |
+
"step": 1810
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 38.62068965517241,
|
| 1584 |
+
"grad_norm": 0.4618470399964744,
|
| 1585 |
+
"learning_rate": 5e-06,
|
| 1586 |
+
"loss": 0.0044,
|
| 1587 |
+
"step": 1820
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 38.83289124668435,
|
| 1591 |
+
"grad_norm": 0.5335702794762303,
|
| 1592 |
+
"learning_rate": 5e-06,
|
| 1593 |
+
"loss": 0.0046,
|
| 1594 |
+
"step": 1830
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 38.98143236074271,
|
| 1598 |
+
"eval_loss": 2.331439256668091,
|
| 1599 |
+
"eval_runtime": 36.1248,
|
| 1600 |
+
"eval_samples_per_second": 35.101,
|
| 1601 |
+
"eval_steps_per_second": 0.554,
|
| 1602 |
+
"step": 1837
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 39.04509283819629,
|
| 1606 |
+
"grad_norm": 0.479505582826384,
|
| 1607 |
+
"learning_rate": 5e-06,
|
| 1608 |
+
"loss": 0.0044,
|
| 1609 |
+
"step": 1840
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 39.257294429708224,
|
| 1613 |
+
"grad_norm": 0.5113511589520306,
|
| 1614 |
+
"learning_rate": 5e-06,
|
| 1615 |
+
"loss": 0.0041,
|
| 1616 |
+
"step": 1850
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 39.46949602122016,
|
| 1620 |
+
"grad_norm": 0.5215185108673973,
|
| 1621 |
+
"learning_rate": 5e-06,
|
| 1622 |
+
"loss": 0.0044,
|
| 1623 |
+
"step": 1860
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 39.681697612732094,
|
| 1627 |
+
"grad_norm": 0.4684510421075637,
|
| 1628 |
+
"learning_rate": 5e-06,
|
| 1629 |
+
"loss": 0.0044,
|
| 1630 |
+
"step": 1870
|
| 1631 |
+
},
|
| 1632 |
+
{
|
| 1633 |
+
"epoch": 39.89389920424403,
|
| 1634 |
+
"grad_norm": 0.4922971901357758,
|
| 1635 |
+
"learning_rate": 5e-06,
|
| 1636 |
+
"loss": 0.0046,
|
| 1637 |
+
"step": 1880
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 40.0,
|
| 1641 |
+
"eval_loss": 2.352881908416748,
|
| 1642 |
+
"eval_runtime": 32.8929,
|
| 1643 |
+
"eval_samples_per_second": 38.549,
|
| 1644 |
+
"eval_steps_per_second": 0.608,
|
| 1645 |
+
"step": 1885
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"epoch": 40.10610079575597,
|
| 1649 |
+
"grad_norm": 0.46894182967311265,
|
| 1650 |
+
"learning_rate": 5e-06,
|
| 1651 |
+
"loss": 0.0044,
|
| 1652 |
+
"step": 1890
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 40.318302387267906,
|
| 1656 |
+
"grad_norm": 0.5014360578712377,
|
| 1657 |
+
"learning_rate": 5e-06,
|
| 1658 |
+
"loss": 0.0045,
|
| 1659 |
+
"step": 1900
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 40.53050397877984,
|
| 1663 |
+
"grad_norm": 0.4882460378245171,
|
| 1664 |
+
"learning_rate": 5e-06,
|
| 1665 |
+
"loss": 0.0043,
|
| 1666 |
+
"step": 1910
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 40.742705570291776,
|
| 1670 |
+
"grad_norm": 0.4706172770419776,
|
| 1671 |
+
"learning_rate": 5e-06,
|
| 1672 |
+
"loss": 0.0047,
|
| 1673 |
+
"step": 1920
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 40.95490716180371,
|
| 1677 |
+
"grad_norm": 0.5059451971167636,
|
| 1678 |
+
"learning_rate": 5e-06,
|
| 1679 |
+
"loss": 0.0046,
|
| 1680 |
+
"step": 1930
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 40.9973474801061,
|
| 1684 |
+
"eval_loss": 2.2959542274475098,
|
| 1685 |
+
"eval_runtime": 32.0804,
|
| 1686 |
+
"eval_samples_per_second": 39.526,
|
| 1687 |
+
"eval_steps_per_second": 0.623,
|
| 1688 |
+
"step": 1932
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 41.16710875331565,
|
| 1692 |
+
"grad_norm": 0.5083900169420202,
|
| 1693 |
+
"learning_rate": 5e-06,
|
| 1694 |
+
"loss": 0.0042,
|
| 1695 |
+
"step": 1940
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 41.37931034482759,
|
| 1699 |
+
"grad_norm": 0.4890535769006396,
|
| 1700 |
+
"learning_rate": 5e-06,
|
| 1701 |
+
"loss": 0.0044,
|
| 1702 |
+
"step": 1950
|
| 1703 |
+
},
|
| 1704 |
+
{
|
| 1705 |
+
"epoch": 41.59151193633952,
|
| 1706 |
+
"grad_norm": 0.4834799340549018,
|
| 1707 |
+
"learning_rate": 5e-06,
|
| 1708 |
+
"loss": 0.0044,
|
| 1709 |
+
"step": 1960
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 41.80371352785146,
|
| 1713 |
+
"grad_norm": 0.5123145634590351,
|
| 1714 |
+
"learning_rate": 5e-06,
|
| 1715 |
+
"loss": 0.0044,
|
| 1716 |
+
"step": 1970
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 41.9946949602122,
|
| 1720 |
+
"eval_loss": 2.2469534873962402,
|
| 1721 |
+
"eval_runtime": 32.0054,
|
| 1722 |
+
"eval_samples_per_second": 39.618,
|
| 1723 |
+
"eval_steps_per_second": 0.625,
|
| 1724 |
+
"step": 1979
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 42.01591511936339,
|
| 1728 |
+
"grad_norm": 1.0205112888877195,
|
| 1729 |
+
"learning_rate": 5e-06,
|
| 1730 |
+
"loss": 0.0047,
|
| 1731 |
+
"step": 1980
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 42.228116710875334,
|
| 1735 |
+
"grad_norm": 0.5070885420891122,
|
| 1736 |
+
"learning_rate": 5e-06,
|
| 1737 |
+
"loss": 0.0042,
|
| 1738 |
+
"step": 1990
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 42.44031830238727,
|
| 1742 |
+
"grad_norm": 0.46542677043756164,
|
| 1743 |
+
"learning_rate": 5e-06,
|
| 1744 |
+
"loss": 0.0045,
|
| 1745 |
+
"step": 2000
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 42.6525198938992,
|
| 1749 |
+
"grad_norm": 0.4998861777562649,
|
| 1750 |
+
"learning_rate": 5e-06,
|
| 1751 |
+
"loss": 0.0046,
|
| 1752 |
+
"step": 2010
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 42.86472148541114,
|
| 1756 |
+
"grad_norm": 0.5389482176054387,
|
| 1757 |
+
"learning_rate": 5e-06,
|
| 1758 |
+
"loss": 0.0046,
|
| 1759 |
+
"step": 2020
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 42.9920424403183,
|
| 1763 |
+
"eval_loss": 2.2444722652435303,
|
| 1764 |
+
"eval_runtime": 32.4938,
|
| 1765 |
+
"eval_samples_per_second": 39.023,
|
| 1766 |
+
"eval_steps_per_second": 0.616,
|
| 1767 |
+
"step": 2026
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 43.07692307692308,
|
| 1771 |
+
"grad_norm": 0.5391194908432944,
|
| 1772 |
+
"learning_rate": 5e-06,
|
| 1773 |
+
"loss": 0.0047,
|
| 1774 |
+
"step": 2030
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 43.289124668435015,
|
| 1778 |
+
"grad_norm": 0.4981283219249435,
|
| 1779 |
+
"learning_rate": 5e-06,
|
| 1780 |
+
"loss": 0.0045,
|
| 1781 |
+
"step": 2040
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 43.50132625994695,
|
| 1785 |
+
"grad_norm": 0.47345665951297794,
|
| 1786 |
+
"learning_rate": 5e-06,
|
| 1787 |
+
"loss": 0.0045,
|
| 1788 |
+
"step": 2050
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 43.713527851458885,
|
| 1792 |
+
"grad_norm": 0.5298679945828358,
|
| 1793 |
+
"learning_rate": 5e-06,
|
| 1794 |
+
"loss": 0.0046,
|
| 1795 |
+
"step": 2060
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 43.92572944297082,
|
| 1799 |
+
"grad_norm": 0.5185041675783161,
|
| 1800 |
+
"learning_rate": 5e-06,
|
| 1801 |
+
"loss": 0.0047,
|
| 1802 |
+
"step": 2070
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 43.9893899204244,
|
| 1806 |
+
"eval_loss": 2.185729503631592,
|
| 1807 |
+
"eval_runtime": 36.7149,
|
| 1808 |
+
"eval_samples_per_second": 34.536,
|
| 1809 |
+
"eval_steps_per_second": 0.545,
|
| 1810 |
+
"step": 2073
|
| 1811 |
+
},
|
| 1812 |
+
{
|
| 1813 |
+
"epoch": 44.13793103448276,
|
| 1814 |
+
"grad_norm": 0.4595423086231479,
|
| 1815 |
+
"learning_rate": 5e-06,
|
| 1816 |
+
"loss": 0.0044,
|
| 1817 |
+
"step": 2080
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 44.350132625994696,
|
| 1821 |
+
"grad_norm": 0.5490294028556272,
|
| 1822 |
+
"learning_rate": 5e-06,
|
| 1823 |
+
"loss": 0.0046,
|
| 1824 |
+
"step": 2090
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 44.56233421750663,
|
| 1828 |
+
"grad_norm": 0.4920918340455232,
|
| 1829 |
+
"learning_rate": 5e-06,
|
| 1830 |
+
"loss": 0.0045,
|
| 1831 |
+
"step": 2100
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 44.774535809018566,
|
| 1835 |
+
"grad_norm": 0.4760583120520896,
|
| 1836 |
+
"learning_rate": 5e-06,
|
| 1837 |
+
"loss": 0.0046,
|
| 1838 |
+
"step": 2110
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 44.9867374005305,
|
| 1842 |
+
"grad_norm": 0.5733089439708409,
|
| 1843 |
+
"learning_rate": 5e-06,
|
| 1844 |
+
"loss": 0.0046,
|
| 1845 |
+
"step": 2120
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 44.9867374005305,
|
| 1849 |
+
"eval_loss": 2.2820541858673096,
|
| 1850 |
+
"eval_runtime": 33.8121,
|
| 1851 |
+
"eval_samples_per_second": 37.501,
|
| 1852 |
+
"eval_steps_per_second": 0.592,
|
| 1853 |
+
"step": 2120
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"epoch": 45.19893899204244,
|
| 1857 |
+
"grad_norm": 0.49643601560555334,
|
| 1858 |
+
"learning_rate": 5e-06,
|
| 1859 |
+
"loss": 0.0043,
|
| 1860 |
+
"step": 2130
|
| 1861 |
+
},
|
| 1862 |
+
{
|
| 1863 |
+
"epoch": 45.41114058355438,
|
| 1864 |
+
"grad_norm": 0.4978312694722092,
|
| 1865 |
+
"learning_rate": 5e-06,
|
| 1866 |
+
"loss": 0.0044,
|
| 1867 |
+
"step": 2140
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"epoch": 45.62334217506631,
|
| 1871 |
+
"grad_norm": 0.4871972940394871,
|
| 1872 |
+
"learning_rate": 5e-06,
|
| 1873 |
+
"loss": 0.0044,
|
| 1874 |
+
"step": 2150
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 45.83554376657825,
|
| 1878 |
+
"grad_norm": 0.48963099402274846,
|
| 1879 |
+
"learning_rate": 5e-06,
|
| 1880 |
+
"loss": 0.0044,
|
| 1881 |
+
"step": 2160
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 45.98408488063661,
|
| 1885 |
+
"eval_loss": 2.1947340965270996,
|
| 1886 |
+
"eval_runtime": 31.7983,
|
| 1887 |
+
"eval_samples_per_second": 39.876,
|
| 1888 |
+
"eval_steps_per_second": 0.629,
|
| 1889 |
+
"step": 2167
|
| 1890 |
+
},
|
| 1891 |
+
{
|
| 1892 |
+
"epoch": 46.04774535809018,
|
| 1893 |
+
"grad_norm": 0.5401269884224489,
|
| 1894 |
+
"learning_rate": 5e-06,
|
| 1895 |
+
"loss": 0.0047,
|
| 1896 |
+
"step": 2170
|
| 1897 |
+
},
|
| 1898 |
+
{
|
| 1899 |
+
"epoch": 46.259946949602124,
|
| 1900 |
+
"grad_norm": 0.48855626759480597,
|
| 1901 |
+
"learning_rate": 5e-06,
|
| 1902 |
+
"loss": 0.0043,
|
| 1903 |
+
"step": 2180
|
| 1904 |
+
},
|
| 1905 |
+
{
|
| 1906 |
+
"epoch": 46.47214854111406,
|
| 1907 |
+
"grad_norm": 0.4620581610973711,
|
| 1908 |
+
"learning_rate": 5e-06,
|
| 1909 |
+
"loss": 0.0044,
|
| 1910 |
+
"step": 2190
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 46.684350132625994,
|
| 1914 |
+
"grad_norm": 0.5231436233945154,
|
| 1915 |
+
"learning_rate": 5e-06,
|
| 1916 |
+
"loss": 0.0046,
|
| 1917 |
+
"step": 2200
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 46.89655172413793,
|
| 1921 |
+
"grad_norm": 0.5107109905734242,
|
| 1922 |
+
"learning_rate": 5e-06,
|
| 1923 |
+
"loss": 0.0046,
|
| 1924 |
+
"step": 2210
|
| 1925 |
+
},
|
| 1926 |
+
{
|
| 1927 |
+
"epoch": 46.98143236074271,
|
| 1928 |
+
"eval_loss": 2.244826316833496,
|
| 1929 |
+
"eval_runtime": 32.489,
|
| 1930 |
+
"eval_samples_per_second": 39.029,
|
| 1931 |
+
"eval_steps_per_second": 0.616,
|
| 1932 |
+
"step": 2214
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 47.10875331564987,
|
| 1936 |
+
"grad_norm": 0.48505370551160115,
|
| 1937 |
+
"learning_rate": 5e-06,
|
| 1938 |
+
"loss": 0.0045,
|
| 1939 |
+
"step": 2220
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 47.320954907161806,
|
| 1943 |
+
"grad_norm": 0.47743906179946344,
|
| 1944 |
+
"learning_rate": 5e-06,
|
| 1945 |
+
"loss": 0.0043,
|
| 1946 |
+
"step": 2230
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 47.53315649867374,
|
| 1950 |
+
"grad_norm": 0.44336417927466243,
|
| 1951 |
+
"learning_rate": 5e-06,
|
| 1952 |
+
"loss": 0.0044,
|
| 1953 |
+
"step": 2240
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 47.745358090185675,
|
| 1957 |
+
"grad_norm": 0.46929085800943077,
|
| 1958 |
+
"learning_rate": 5e-06,
|
| 1959 |
+
"loss": 0.0043,
|
| 1960 |
+
"step": 2250
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 47.95755968169761,
|
| 1964 |
+
"grad_norm": 0.5231340061248672,
|
| 1965 |
+
"learning_rate": 5e-06,
|
| 1966 |
+
"loss": 0.0046,
|
| 1967 |
+
"step": 2260
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 48.0,
|
| 1971 |
+
"eval_loss": 2.2752280235290527,
|
| 1972 |
+
"eval_runtime": 32.0921,
|
| 1973 |
+
"eval_samples_per_second": 39.511,
|
| 1974 |
+
"eval_steps_per_second": 0.623,
|
| 1975 |
+
"step": 2262
|
| 1976 |
+
},
|
| 1977 |
+
{
|
| 1978 |
+
"epoch": 48.16976127320955,
|
| 1979 |
+
"grad_norm": 0.48306728388415554,
|
| 1980 |
+
"learning_rate": 5e-06,
|
| 1981 |
+
"loss": 0.004,
|
| 1982 |
+
"step": 2270
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 48.38196286472149,
|
| 1986 |
+
"grad_norm": 0.4672845604156267,
|
| 1987 |
+
"learning_rate": 5e-06,
|
| 1988 |
+
"loss": 0.0042,
|
| 1989 |
+
"step": 2280
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 48.59416445623342,
|
| 1993 |
+
"grad_norm": 0.4629938422088832,
|
| 1994 |
+
"learning_rate": 5e-06,
|
| 1995 |
+
"loss": 0.0042,
|
| 1996 |
+
"step": 2290
|
| 1997 |
+
},
|
| 1998 |
+
{
|
| 1999 |
+
"epoch": 48.80636604774536,
|
| 2000 |
+
"grad_norm": 0.47249658476819273,
|
| 2001 |
+
"learning_rate": 5e-06,
|
| 2002 |
+
"loss": 0.0045,
|
| 2003 |
+
"step": 2300
|
| 2004 |
+
},
|
| 2005 |
+
{
|
| 2006 |
+
"epoch": 48.9973474801061,
|
| 2007 |
+
"eval_loss": 2.191987991333008,
|
| 2008 |
+
"eval_runtime": 32.7778,
|
| 2009 |
+
"eval_samples_per_second": 38.685,
|
| 2010 |
+
"eval_steps_per_second": 0.61,
|
| 2011 |
+
"step": 2309
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 49.01856763925729,
|
| 2015 |
+
"grad_norm": 1.2484007364586218,
|
| 2016 |
+
"learning_rate": 5e-06,
|
| 2017 |
+
"loss": 0.0048,
|
| 2018 |
+
"step": 2310
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 49.23076923076923,
|
| 2022 |
+
"grad_norm": 0.4611865467475917,
|
| 2023 |
+
"learning_rate": 5e-06,
|
| 2024 |
+
"loss": 0.0041,
|
| 2025 |
+
"step": 2320
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 49.44297082228117,
|
| 2029 |
+
"grad_norm": 0.4743910435522657,
|
| 2030 |
+
"learning_rate": 5e-06,
|
| 2031 |
+
"loss": 0.0045,
|
| 2032 |
+
"step": 2330
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 49.6551724137931,
|
| 2036 |
+
"grad_norm": 0.46542658618821575,
|
| 2037 |
+
"learning_rate": 5e-06,
|
| 2038 |
+
"loss": 0.0044,
|
| 2039 |
+
"step": 2340
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 49.86737400530504,
|
| 2043 |
+
"grad_norm": 0.505406296008645,
|
| 2044 |
+
"learning_rate": 5e-06,
|
| 2045 |
+
"loss": 0.0043,
|
| 2046 |
+
"step": 2350
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 49.9946949602122,
|
| 2050 |
+
"eval_loss": 2.2768940925598145,
|
| 2051 |
+
"eval_runtime": 36.0799,
|
| 2052 |
+
"eval_samples_per_second": 35.144,
|
| 2053 |
+
"eval_steps_per_second": 0.554,
|
| 2054 |
+
"step": 2356
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 50.07957559681697,
|
| 2058 |
+
"grad_norm": 0.46367725238189,
|
| 2059 |
+
"learning_rate": 5e-06,
|
| 2060 |
+
"loss": 0.0043,
|
| 2061 |
+
"step": 2360
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 50.291777188328915,
|
| 2065 |
+
"grad_norm": 0.47518379044051445,
|
| 2066 |
+
"learning_rate": 5e-06,
|
| 2067 |
+
"loss": 0.0042,
|
| 2068 |
+
"step": 2370
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 50.50397877984085,
|
| 2072 |
+
"grad_norm": 0.4490016757712857,
|
| 2073 |
+
"learning_rate": 5e-06,
|
| 2074 |
+
"loss": 0.0044,
|
| 2075 |
+
"step": 2380
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 50.716180371352785,
|
| 2079 |
+
"grad_norm": 0.48554533367921304,
|
| 2080 |
+
"learning_rate": 5e-06,
|
| 2081 |
+
"loss": 0.0043,
|
| 2082 |
+
"step": 2390
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 50.92838196286472,
|
| 2086 |
+
"grad_norm": 0.5443769686143077,
|
| 2087 |
+
"learning_rate": 5e-06,
|
| 2088 |
+
"loss": 0.0046,
|
| 2089 |
+
"step": 2400
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 50.9920424403183,
|
| 2093 |
+
"eval_loss": 2.144993305206299,
|
| 2094 |
+
"eval_runtime": 32.7727,
|
| 2095 |
+
"eval_samples_per_second": 38.691,
|
| 2096 |
+
"eval_steps_per_second": 0.61,
|
| 2097 |
+
"step": 2403
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 51.14058355437666,
|
| 2101 |
+
"grad_norm": 0.47893302654695646,
|
| 2102 |
+
"learning_rate": 5e-06,
|
| 2103 |
+
"loss": 0.0042,
|
| 2104 |
+
"step": 2410
|
| 2105 |
+
},
|
| 2106 |
+
{
|
| 2107 |
+
"epoch": 51.352785145888596,
|
| 2108 |
+
"grad_norm": 0.47839392843087253,
|
| 2109 |
+
"learning_rate": 5e-06,
|
| 2110 |
+
"loss": 0.0042,
|
| 2111 |
+
"step": 2420
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 51.56498673740053,
|
| 2115 |
+
"grad_norm": 0.4708576897117157,
|
| 2116 |
+
"learning_rate": 5e-06,
|
| 2117 |
+
"loss": 0.0047,
|
| 2118 |
+
"step": 2430
|
| 2119 |
+
},
|
| 2120 |
+
{
|
| 2121 |
+
"epoch": 51.777188328912466,
|
| 2122 |
+
"grad_norm": 0.4416375979362001,
|
| 2123 |
+
"learning_rate": 5e-06,
|
| 2124 |
+
"loss": 0.0047,
|
| 2125 |
+
"step": 2440
|
| 2126 |
+
},
|
| 2127 |
+
{
|
| 2128 |
+
"epoch": 51.9893899204244,
|
| 2129 |
+
"grad_norm": 0.49822827548820897,
|
| 2130 |
+
"learning_rate": 5e-06,
|
| 2131 |
+
"loss": 0.0047,
|
| 2132 |
+
"step": 2450
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"epoch": 51.9893899204244,
|
| 2136 |
+
"eval_loss": 2.1438260078430176,
|
| 2137 |
+
"eval_runtime": 36.4269,
|
| 2138 |
+
"eval_samples_per_second": 34.809,
|
| 2139 |
+
"eval_steps_per_second": 0.549,
|
| 2140 |
+
"step": 2450
|
| 2141 |
+
},
|
| 2142 |
+
{
|
| 2143 |
+
"epoch": 52.20159151193634,
|
| 2144 |
+
"grad_norm": 0.5089323733248741,
|
| 2145 |
+
"learning_rate": 5e-06,
|
| 2146 |
+
"loss": 0.0042,
|
| 2147 |
+
"step": 2460
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 52.41379310344828,
|
| 2151 |
+
"grad_norm": 0.44606305075490854,
|
| 2152 |
+
"learning_rate": 5e-06,
|
| 2153 |
+
"loss": 0.0045,
|
| 2154 |
+
"step": 2470
|
| 2155 |
+
},
|
| 2156 |
+
{
|
| 2157 |
+
"epoch": 52.62599469496021,
|
| 2158 |
+
"grad_norm": 0.4833038017820681,
|
| 2159 |
+
"learning_rate": 5e-06,
|
| 2160 |
+
"loss": 0.0043,
|
| 2161 |
+
"step": 2480
|
| 2162 |
+
},
|
| 2163 |
+
{
|
| 2164 |
+
"epoch": 52.83819628647215,
|
| 2165 |
+
"grad_norm": 0.48874674821346825,
|
| 2166 |
+
"learning_rate": 5e-06,
|
| 2167 |
+
"loss": 0.0045,
|
| 2168 |
+
"step": 2490
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 52.9867374005305,
|
| 2172 |
+
"eval_loss": 2.208920955657959,
|
| 2173 |
+
"eval_runtime": 32.296,
|
| 2174 |
+
"eval_samples_per_second": 39.262,
|
| 2175 |
+
"eval_steps_per_second": 0.619,
|
| 2176 |
+
"step": 2497
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 53.05039787798408,
|
| 2180 |
+
"grad_norm": 0.41030239469513036,
|
| 2181 |
+
"learning_rate": 5e-06,
|
| 2182 |
+
"loss": 0.0045,
|
| 2183 |
+
"step": 2500
|
| 2184 |
+
},
|
| 2185 |
+
{
|
| 2186 |
+
"epoch": 53.262599469496024,
|
| 2187 |
+
"grad_norm": 0.4585601531053586,
|
| 2188 |
+
"learning_rate": 5e-06,
|
| 2189 |
+
"loss": 0.0041,
|
| 2190 |
+
"step": 2510
|
| 2191 |
+
},
|
| 2192 |
+
{
|
| 2193 |
+
"epoch": 53.47480106100796,
|
| 2194 |
+
"grad_norm": 0.4732257596690339,
|
| 2195 |
+
"learning_rate": 5e-06,
|
| 2196 |
+
"loss": 0.0042,
|
| 2197 |
+
"step": 2520
|
| 2198 |
+
},
|
| 2199 |
+
{
|
| 2200 |
+
"epoch": 53.687002652519894,
|
| 2201 |
+
"grad_norm": 0.5085946719924586,
|
| 2202 |
+
"learning_rate": 5e-06,
|
| 2203 |
+
"loss": 0.0045,
|
| 2204 |
+
"step": 2530
|
| 2205 |
+
},
|
| 2206 |
+
{
|
| 2207 |
+
"epoch": 53.89920424403183,
|
| 2208 |
+
"grad_norm": 0.4544286199376631,
|
| 2209 |
+
"learning_rate": 5e-06,
|
| 2210 |
+
"loss": 0.0046,
|
| 2211 |
+
"step": 2540
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"epoch": 53.98408488063661,
|
| 2215 |
+
"eval_loss": 2.123398542404175,
|
| 2216 |
+
"eval_runtime": 32.8291,
|
| 2217 |
+
"eval_samples_per_second": 38.624,
|
| 2218 |
+
"eval_steps_per_second": 0.609,
|
| 2219 |
+
"step": 2544
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 54.11140583554376,
|
| 2223 |
+
"grad_norm": 0.44262892146335525,
|
| 2224 |
+
"learning_rate": 5e-06,
|
| 2225 |
+
"loss": 0.0043,
|
| 2226 |
+
"step": 2550
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 54.323607427055705,
|
| 2230 |
+
"grad_norm": 0.49296478494264834,
|
| 2231 |
+
"learning_rate": 5e-06,
|
| 2232 |
+
"loss": 0.004,
|
| 2233 |
+
"step": 2560
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 54.53580901856764,
|
| 2237 |
+
"grad_norm": 0.48068563453879837,
|
| 2238 |
+
"learning_rate": 5e-06,
|
| 2239 |
+
"loss": 0.0041,
|
| 2240 |
+
"step": 2570
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 54.748010610079575,
|
| 2244 |
+
"grad_norm": 0.4510335725213247,
|
| 2245 |
+
"learning_rate": 5e-06,
|
| 2246 |
+
"loss": 0.0042,
|
| 2247 |
+
"step": 2580
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 54.96021220159151,
|
| 2251 |
+
"grad_norm": 0.46614703692197884,
|
| 2252 |
+
"learning_rate": 5e-06,
|
| 2253 |
+
"loss": 0.0043,
|
| 2254 |
+
"step": 2590
|
| 2255 |
+
},
|
| 2256 |
+
{
|
| 2257 |
+
"epoch": 54.98143236074271,
|
| 2258 |
+
"eval_loss": 2.098813533782959,
|
| 2259 |
+
"eval_runtime": 32.6607,
|
| 2260 |
+
"eval_samples_per_second": 38.823,
|
| 2261 |
+
"eval_steps_per_second": 0.612,
|
| 2262 |
+
"step": 2591
|
| 2263 |
+
},
|
| 2264 |
+
{
|
| 2265 |
+
"epoch": 55.172413793103445,
|
| 2266 |
+
"grad_norm": 0.466596602949434,
|
| 2267 |
+
"learning_rate": 5e-06,
|
| 2268 |
+
"loss": 0.004,
|
| 2269 |
+
"step": 2600
|
| 2270 |
+
},
|
| 2271 |
+
{
|
| 2272 |
+
"epoch": 55.38461538461539,
|
| 2273 |
+
"grad_norm": 0.46230184288151793,
|
| 2274 |
+
"learning_rate": 5e-06,
|
| 2275 |
+
"loss": 0.0042,
|
| 2276 |
+
"step": 2610
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 55.59681697612732,
|
| 2280 |
+
"grad_norm": 0.47754982848015426,
|
| 2281 |
+
"learning_rate": 5e-06,
|
| 2282 |
+
"loss": 0.0043,
|
| 2283 |
+
"step": 2620
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 55.80901856763926,
|
| 2287 |
+
"grad_norm": 0.4544421989477464,
|
| 2288 |
+
"learning_rate": 5e-06,
|
| 2289 |
+
"loss": 0.0042,
|
| 2290 |
+
"step": 2630
|
| 2291 |
+
},
|
| 2292 |
+
{
|
| 2293 |
+
"epoch": 56.0,
|
| 2294 |
+
"eval_loss": 2.2261929512023926,
|
| 2295 |
+
"eval_runtime": 35.947,
|
| 2296 |
+
"eval_samples_per_second": 35.274,
|
| 2297 |
+
"eval_steps_per_second": 0.556,
|
| 2298 |
+
"step": 2639
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 56.02122015915119,
|
| 2302 |
+
"grad_norm": 0.3799408885340678,
|
| 2303 |
+
"learning_rate": 5e-06,
|
| 2304 |
+
"loss": 0.0044,
|
| 2305 |
+
"step": 2640
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 56.23342175066313,
|
| 2309 |
+
"grad_norm": 0.4677309240050164,
|
| 2310 |
+
"learning_rate": 5e-06,
|
| 2311 |
+
"loss": 0.0036,
|
| 2312 |
+
"step": 2650
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 56.44562334217507,
|
| 2316 |
+
"grad_norm": 0.4451544359663699,
|
| 2317 |
+
"learning_rate": 5e-06,
|
| 2318 |
+
"loss": 0.0038,
|
| 2319 |
+
"step": 2660
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 56.657824933687,
|
| 2323 |
+
"grad_norm": 0.4354541222227446,
|
| 2324 |
+
"learning_rate": 5e-06,
|
| 2325 |
+
"loss": 0.0041,
|
| 2326 |
+
"step": 2670
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 56.87002652519894,
|
| 2330 |
+
"grad_norm": 0.42799533212251356,
|
| 2331 |
+
"learning_rate": 5e-06,
|
| 2332 |
+
"loss": 0.0041,
|
| 2333 |
+
"step": 2680
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 56.9973474801061,
|
| 2337 |
+
"eval_loss": 2.1829628944396973,
|
| 2338 |
+
"eval_runtime": 36.932,
|
| 2339 |
+
"eval_samples_per_second": 34.333,
|
| 2340 |
+
"eval_steps_per_second": 0.542,
|
| 2341 |
+
"step": 2686
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"epoch": 57.08222811671087,
|
| 2345 |
+
"grad_norm": 0.4302775997185208,
|
| 2346 |
+
"learning_rate": 5e-06,
|
| 2347 |
+
"loss": 0.004,
|
| 2348 |
+
"step": 2690
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 57.294429708222815,
|
| 2352 |
+
"grad_norm": 0.45373619115759034,
|
| 2353 |
+
"learning_rate": 5e-06,
|
| 2354 |
+
"loss": 0.0039,
|
| 2355 |
+
"step": 2700
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 57.50663129973475,
|
| 2359 |
+
"grad_norm": 0.5093692592215654,
|
| 2360 |
+
"learning_rate": 5e-06,
|
| 2361 |
+
"loss": 0.0041,
|
| 2362 |
+
"step": 2710
|
| 2363 |
+
},
|
| 2364 |
+
{
|
| 2365 |
+
"epoch": 57.718832891246684,
|
| 2366 |
+
"grad_norm": 0.45674444550397164,
|
| 2367 |
+
"learning_rate": 5e-06,
|
| 2368 |
+
"loss": 0.004,
|
| 2369 |
+
"step": 2720
|
| 2370 |
+
},
|
| 2371 |
+
{
|
| 2372 |
+
"epoch": 57.93103448275862,
|
| 2373 |
+
"grad_norm": 0.5039477875488658,
|
| 2374 |
+
"learning_rate": 5e-06,
|
| 2375 |
+
"loss": 0.0043,
|
| 2376 |
+
"step": 2730
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 57.9946949602122,
|
| 2380 |
+
"eval_loss": 2.0565218925476074,
|
| 2381 |
+
"eval_runtime": 33.1808,
|
| 2382 |
+
"eval_samples_per_second": 38.215,
|
| 2383 |
+
"eval_steps_per_second": 0.603,
|
| 2384 |
+
"step": 2733
|
| 2385 |
+
},
|
| 2386 |
+
{
|
| 2387 |
+
"epoch": 58.143236074270554,
|
| 2388 |
+
"grad_norm": 0.637301688376698,
|
| 2389 |
+
"learning_rate": 5e-06,
|
| 2390 |
+
"loss": 0.0039,
|
| 2391 |
+
"step": 2740
|
| 2392 |
+
},
|
| 2393 |
+
{
|
| 2394 |
+
"epoch": 58.355437665782496,
|
| 2395 |
+
"grad_norm": 0.4409796185787368,
|
| 2396 |
+
"learning_rate": 5e-06,
|
| 2397 |
+
"loss": 0.0042,
|
| 2398 |
+
"step": 2750
|
| 2399 |
+
},
|
| 2400 |
+
{
|
| 2401 |
+
"epoch": 58.56763925729443,
|
| 2402 |
+
"grad_norm": 0.4397178040551203,
|
| 2403 |
+
"learning_rate": 5e-06,
|
| 2404 |
+
"loss": 0.0042,
|
| 2405 |
+
"step": 2760
|
| 2406 |
+
},
|
| 2407 |
+
{
|
| 2408 |
+
"epoch": 58.779840848806366,
|
| 2409 |
+
"grad_norm": 0.4579546974399331,
|
| 2410 |
+
"learning_rate": 5e-06,
|
| 2411 |
+
"loss": 0.0043,
|
| 2412 |
+
"step": 2770
|
| 2413 |
+
},
|
| 2414 |
+
{
|
| 2415 |
+
"epoch": 58.9920424403183,
|
| 2416 |
+
"grad_norm": 0.4802915474982352,
|
| 2417 |
+
"learning_rate": 5e-06,
|
| 2418 |
+
"loss": 0.0044,
|
| 2419 |
+
"step": 2780
|
| 2420 |
+
},
|
| 2421 |
+
{
|
| 2422 |
+
"epoch": 58.9920424403183,
|
| 2423 |
+
"eval_loss": 2.1349949836730957,
|
| 2424 |
+
"eval_runtime": 33.3478,
|
| 2425 |
+
"eval_samples_per_second": 38.023,
|
| 2426 |
+
"eval_steps_per_second": 0.6,
|
| 2427 |
+
"step": 2780
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"epoch": 59.204244031830235,
|
| 2431 |
+
"grad_norm": 0.45595342094830865,
|
| 2432 |
+
"learning_rate": 5e-06,
|
| 2433 |
+
"loss": 0.0039,
|
| 2434 |
+
"step": 2790
|
| 2435 |
+
},
|
| 2436 |
+
{
|
| 2437 |
+
"epoch": 59.41644562334218,
|
| 2438 |
+
"grad_norm": 0.42583408196815664,
|
| 2439 |
+
"learning_rate": 5e-06,
|
| 2440 |
+
"loss": 0.004,
|
| 2441 |
+
"step": 2800
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 59.62864721485411,
|
| 2445 |
+
"grad_norm": 0.46976715325114415,
|
| 2446 |
+
"learning_rate": 5e-06,
|
| 2447 |
+
"loss": 0.0042,
|
| 2448 |
+
"step": 2810
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"epoch": 59.84084880636605,
|
| 2452 |
+
"grad_norm": 0.4594039159794932,
|
| 2453 |
+
"learning_rate": 5e-06,
|
| 2454 |
+
"loss": 0.0042,
|
| 2455 |
+
"step": 2820
|
| 2456 |
+
},
|
| 2457 |
+
{
|
| 2458 |
+
"epoch": 59.9893899204244,
|
| 2459 |
+
"eval_loss": 2.147503137588501,
|
| 2460 |
+
"eval_runtime": 33.9868,
|
| 2461 |
+
"eval_samples_per_second": 37.309,
|
| 2462 |
+
"eval_steps_per_second": 0.588,
|
| 2463 |
+
"step": 2827
|
| 2464 |
+
},
|
| 2465 |
+
{
|
| 2466 |
+
"epoch": 60.05305039787798,
|
| 2467 |
+
"grad_norm": 0.3788604780234753,
|
| 2468 |
+
"learning_rate": 5e-06,
|
| 2469 |
+
"loss": 0.0043,
|
| 2470 |
+
"step": 2830
|
| 2471 |
+
},
|
| 2472 |
+
{
|
| 2473 |
+
"epoch": 60.265251989389924,
|
| 2474 |
+
"grad_norm": 0.4585887452398626,
|
| 2475 |
+
"learning_rate": 5e-06,
|
| 2476 |
+
"loss": 0.004,
|
| 2477 |
+
"step": 2840
|
| 2478 |
+
},
|
| 2479 |
+
{
|
| 2480 |
+
"epoch": 60.47745358090186,
|
| 2481 |
+
"grad_norm": 0.44191777540666205,
|
| 2482 |
+
"learning_rate": 5e-06,
|
| 2483 |
+
"loss": 0.0042,
|
| 2484 |
+
"step": 2850
|
| 2485 |
+
},
|
| 2486 |
+
{
|
| 2487 |
+
"epoch": 60.689655172413794,
|
| 2488 |
+
"grad_norm": 0.4804115061902176,
|
| 2489 |
+
"learning_rate": 5e-06,
|
| 2490 |
+
"loss": 0.004,
|
| 2491 |
+
"step": 2860
|
| 2492 |
+
},
|
| 2493 |
+
{
|
| 2494 |
+
"epoch": 60.90185676392573,
|
| 2495 |
+
"grad_norm": 0.4364809653768145,
|
| 2496 |
+
"learning_rate": 5e-06,
|
| 2497 |
+
"loss": 0.004,
|
| 2498 |
+
"step": 2870
|
| 2499 |
+
},
|
| 2500 |
+
{
|
| 2501 |
+
"epoch": 60.9867374005305,
|
| 2502 |
+
"eval_loss": 2.1589598655700684,
|
| 2503 |
+
"eval_runtime": 32.8868,
|
| 2504 |
+
"eval_samples_per_second": 38.557,
|
| 2505 |
+
"eval_steps_per_second": 0.608,
|
| 2506 |
+
"step": 2874
|
| 2507 |
+
},
|
| 2508 |
+
{
|
| 2509 |
+
"epoch": 61.11405835543766,
|
| 2510 |
+
"grad_norm": 0.4627247386921585,
|
| 2511 |
+
"learning_rate": 5e-06,
|
| 2512 |
+
"loss": 0.0037,
|
| 2513 |
+
"step": 2880
|
| 2514 |
+
},
|
| 2515 |
+
{
|
| 2516 |
+
"epoch": 61.326259946949605,
|
| 2517 |
+
"grad_norm": 0.44610807113473805,
|
| 2518 |
+
"learning_rate": 5e-06,
|
| 2519 |
+
"loss": 0.0038,
|
| 2520 |
+
"step": 2890
|
| 2521 |
+
},
|
| 2522 |
+
{
|
| 2523 |
+
"epoch": 61.53846153846154,
|
| 2524 |
+
"grad_norm": 0.44993855036307506,
|
| 2525 |
+
"learning_rate": 5e-06,
|
| 2526 |
+
"loss": 0.0041,
|
| 2527 |
+
"step": 2900
|
| 2528 |
+
},
|
| 2529 |
+
{
|
| 2530 |
+
"epoch": 61.750663129973475,
|
| 2531 |
+
"grad_norm": 0.452168597601154,
|
| 2532 |
+
"learning_rate": 5e-06,
|
| 2533 |
+
"loss": 0.004,
|
| 2534 |
+
"step": 2910
|
| 2535 |
+
},
|
| 2536 |
+
{
|
| 2537 |
+
"epoch": 61.96286472148541,
|
| 2538 |
+
"grad_norm": 0.43632915397140304,
|
| 2539 |
+
"learning_rate": 5e-06,
|
| 2540 |
+
"loss": 0.0039,
|
| 2541 |
+
"step": 2920
|
| 2542 |
+
},
|
| 2543 |
+
{
|
| 2544 |
+
"epoch": 61.98408488063661,
|
| 2545 |
+
"eval_loss": 2.175154209136963,
|
| 2546 |
+
"eval_runtime": 32.894,
|
| 2547 |
+
"eval_samples_per_second": 38.548,
|
| 2548 |
+
"eval_steps_per_second": 0.608,
|
| 2549 |
+
"step": 2921
|
| 2550 |
+
},
|
| 2551 |
+
{
|
| 2552 |
+
"epoch": 62.175066312997345,
|
| 2553 |
+
"grad_norm": 0.608893909790697,
|
| 2554 |
+
"learning_rate": 5e-06,
|
| 2555 |
+
"loss": 0.0038,
|
| 2556 |
+
"step": 2930
|
| 2557 |
+
},
|
| 2558 |
+
{
|
| 2559 |
+
"epoch": 62.38726790450929,
|
| 2560 |
+
"grad_norm": 0.7810123169729063,
|
| 2561 |
+
"learning_rate": 5e-06,
|
| 2562 |
+
"loss": 0.0041,
|
| 2563 |
+
"step": 2940
|
| 2564 |
+
},
|
| 2565 |
+
{
|
| 2566 |
+
"epoch": 62.59946949602122,
|
| 2567 |
+
"grad_norm": 0.5388235256317511,
|
| 2568 |
+
"learning_rate": 5e-06,
|
| 2569 |
+
"loss": 0.0042,
|
| 2570 |
+
"step": 2950
|
| 2571 |
+
},
|
| 2572 |
+
{
|
| 2573 |
+
"epoch": 62.811671087533156,
|
| 2574 |
+
"grad_norm": 0.6616276113363618,
|
| 2575 |
+
"learning_rate": 5e-06,
|
| 2576 |
+
"loss": 0.0043,
|
| 2577 |
+
"step": 2960
|
| 2578 |
+
},
|
| 2579 |
+
{
|
| 2580 |
+
"epoch": 62.98143236074271,
|
| 2581 |
+
"eval_loss": 2.0755813121795654,
|
| 2582 |
+
"eval_runtime": 32.5654,
|
| 2583 |
+
"eval_samples_per_second": 38.937,
|
| 2584 |
+
"eval_steps_per_second": 0.614,
|
| 2585 |
+
"step": 2968
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 63.02387267904509,
|
| 2589 |
+
"grad_norm": 0.6334559986726974,
|
| 2590 |
+
"learning_rate": 5e-06,
|
| 2591 |
+
"loss": 0.0048,
|
| 2592 |
+
"step": 2970
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 63.236074270557026,
|
| 2596 |
+
"grad_norm": 0.4374734696148235,
|
| 2597 |
+
"learning_rate": 5e-06,
|
| 2598 |
+
"loss": 0.0038,
|
| 2599 |
+
"step": 2980
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 63.44827586206897,
|
| 2603 |
+
"grad_norm": 0.41776684558458094,
|
| 2604 |
+
"learning_rate": 5e-06,
|
| 2605 |
+
"loss": 0.004,
|
| 2606 |
+
"step": 2990
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 63.6604774535809,
|
| 2610 |
+
"grad_norm": 0.42616669114162264,
|
| 2611 |
+
"learning_rate": 5e-06,
|
| 2612 |
+
"loss": 0.004,
|
| 2613 |
+
"step": 3000
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 63.87267904509284,
|
| 2617 |
+
"grad_norm": 0.41562950815940586,
|
| 2618 |
+
"learning_rate": 5e-06,
|
| 2619 |
+
"loss": 0.0038,
|
| 2620 |
+
"step": 3010
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 64.0,
|
| 2624 |
+
"eval_loss": 2.1628966331481934,
|
| 2625 |
+
"eval_runtime": 35.8881,
|
| 2626 |
+
"eval_samples_per_second": 35.332,
|
| 2627 |
+
"eval_steps_per_second": 0.557,
|
| 2628 |
+
"step": 3016
|
| 2629 |
+
},
|
| 2630 |
+
{
|
| 2631 |
+
"epoch": 64.08488063660478,
|
| 2632 |
+
"grad_norm": 0.3882496026884459,
|
| 2633 |
+
"learning_rate": 5e-06,
|
| 2634 |
+
"loss": 0.0038,
|
| 2635 |
+
"step": 3020
|
| 2636 |
+
},
|
| 2637 |
+
{
|
| 2638 |
+
"epoch": 64.29708222811671,
|
| 2639 |
+
"grad_norm": 0.39751578288878314,
|
| 2640 |
+
"learning_rate": 5e-06,
|
| 2641 |
+
"loss": 0.0036,
|
| 2642 |
+
"step": 3030
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 64.50928381962865,
|
| 2646 |
+
"grad_norm": 0.40212171641197075,
|
| 2647 |
+
"learning_rate": 5e-06,
|
| 2648 |
+
"loss": 0.0038,
|
| 2649 |
+
"step": 3040
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 64.72148541114058,
|
| 2653 |
+
"grad_norm": 0.41313235372557094,
|
| 2654 |
+
"learning_rate": 5e-06,
|
| 2655 |
+
"loss": 0.0037,
|
| 2656 |
+
"step": 3050
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 64.93368700265252,
|
| 2660 |
+
"grad_norm": 0.4322523665445671,
|
| 2661 |
+
"learning_rate": 5e-06,
|
| 2662 |
+
"loss": 0.0038,
|
| 2663 |
+
"step": 3060
|
| 2664 |
+
},
|
| 2665 |
+
{
|
| 2666 |
+
"epoch": 64.9973474801061,
|
| 2667 |
+
"eval_loss": 2.1522464752197266,
|
| 2668 |
+
"eval_runtime": 33.9327,
|
| 2669 |
+
"eval_samples_per_second": 37.368,
|
| 2670 |
+
"eval_steps_per_second": 0.589,
|
| 2671 |
+
"step": 3063
|
| 2672 |
+
},
|
| 2673 |
+
{
|
| 2674 |
+
"epoch": 65.14588859416446,
|
| 2675 |
+
"grad_norm": 0.43780473531290537,
|
| 2676 |
+
"learning_rate": 5e-06,
|
| 2677 |
+
"loss": 0.0034,
|
| 2678 |
+
"step": 3070
|
| 2679 |
+
},
|
| 2680 |
+
{
|
| 2681 |
+
"epoch": 65.35809018567639,
|
| 2682 |
+
"grad_norm": 0.40572872421767864,
|
| 2683 |
+
"learning_rate": 5e-06,
|
| 2684 |
+
"loss": 0.0036,
|
| 2685 |
+
"step": 3080
|
| 2686 |
+
},
|
| 2687 |
+
{
|
| 2688 |
+
"epoch": 65.57029177718833,
|
| 2689 |
+
"grad_norm": 0.4093469164996682,
|
| 2690 |
+
"learning_rate": 5e-06,
|
| 2691 |
+
"loss": 0.0037,
|
| 2692 |
+
"step": 3090
|
| 2693 |
+
},
|
| 2694 |
+
{
|
| 2695 |
+
"epoch": 65.78249336870026,
|
| 2696 |
+
"grad_norm": 0.4208388004003152,
|
| 2697 |
+
"learning_rate": 5e-06,
|
| 2698 |
+
"loss": 0.0038,
|
| 2699 |
+
"step": 3100
|
| 2700 |
+
},
|
| 2701 |
+
{
|
| 2702 |
+
"epoch": 65.9946949602122,
|
| 2703 |
+
"grad_norm": 0.3777101158629655,
|
| 2704 |
+
"learning_rate": 5e-06,
|
| 2705 |
+
"loss": 0.0036,
|
| 2706 |
+
"step": 3110
|
| 2707 |
+
},
|
| 2708 |
+
{
|
| 2709 |
+
"epoch": 65.9946949602122,
|
| 2710 |
+
"eval_loss": 2.1448707580566406,
|
| 2711 |
+
"eval_runtime": 32.4346,
|
| 2712 |
+
"eval_samples_per_second": 39.094,
|
| 2713 |
+
"eval_steps_per_second": 0.617,
|
| 2714 |
+
"step": 3110
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"epoch": 66.20689655172414,
|
| 2718 |
+
"grad_norm": 0.40489816550784263,
|
| 2719 |
+
"learning_rate": 5e-06,
|
| 2720 |
+
"loss": 0.0037,
|
| 2721 |
+
"step": 3120
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 66.41909814323607,
|
| 2725 |
+
"grad_norm": 0.40494233817333486,
|
| 2726 |
+
"learning_rate": 5e-06,
|
| 2727 |
+
"loss": 0.0036,
|
| 2728 |
+
"step": 3130
|
| 2729 |
+
},
|
| 2730 |
+
{
|
| 2731 |
+
"epoch": 66.63129973474801,
|
| 2732 |
+
"grad_norm": 0.43182433380221513,
|
| 2733 |
+
"learning_rate": 5e-06,
|
| 2734 |
+
"loss": 0.0035,
|
| 2735 |
+
"step": 3140
|
| 2736 |
+
},
|
| 2737 |
+
{
|
| 2738 |
+
"epoch": 66.84350132625995,
|
| 2739 |
+
"grad_norm": 0.42002384540999343,
|
| 2740 |
+
"learning_rate": 5e-06,
|
| 2741 |
+
"loss": 0.0035,
|
| 2742 |
+
"step": 3150
|
| 2743 |
+
},
|
| 2744 |
+
{
|
| 2745 |
+
"epoch": 66.9920424403183,
|
| 2746 |
+
"eval_loss": 2.1888883113861084,
|
| 2747 |
+
"eval_runtime": 33.3496,
|
| 2748 |
+
"eval_samples_per_second": 38.021,
|
| 2749 |
+
"eval_steps_per_second": 0.6,
|
| 2750 |
+
"step": 3157
|
| 2751 |
+
},
|
| 2752 |
+
{
|
| 2753 |
+
"epoch": 67.05570291777188,
|
| 2754 |
+
"grad_norm": 0.339266948363754,
|
| 2755 |
+
"learning_rate": 5e-06,
|
| 2756 |
+
"loss": 0.0035,
|
| 2757 |
+
"step": 3160
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 67.26790450928382,
|
| 2761 |
+
"grad_norm": 0.42114668871012634,
|
| 2762 |
+
"learning_rate": 5e-06,
|
| 2763 |
+
"loss": 0.0035,
|
| 2764 |
+
"step": 3170
|
| 2765 |
+
},
|
| 2766 |
+
{
|
| 2767 |
+
"epoch": 67.48010610079575,
|
| 2768 |
+
"grad_norm": 0.3926892944575222,
|
| 2769 |
+
"learning_rate": 5e-06,
|
| 2770 |
+
"loss": 0.0036,
|
| 2771 |
+
"step": 3180
|
| 2772 |
+
},
|
| 2773 |
+
{
|
| 2774 |
+
"epoch": 67.6923076923077,
|
| 2775 |
+
"grad_norm": 0.40585951234482415,
|
| 2776 |
+
"learning_rate": 5e-06,
|
| 2777 |
+
"loss": 0.0036,
|
| 2778 |
+
"step": 3190
|
| 2779 |
+
},
|
| 2780 |
+
{
|
| 2781 |
+
"epoch": 67.90450928381964,
|
| 2782 |
+
"grad_norm": 0.3806844812557759,
|
| 2783 |
+
"learning_rate": 5e-06,
|
| 2784 |
+
"loss": 0.0035,
|
| 2785 |
+
"step": 3200
|
| 2786 |
+
},
|
| 2787 |
+
{
|
| 2788 |
+
"epoch": 67.9893899204244,
|
| 2789 |
+
"eval_loss": 2.02482271194458,
|
| 2790 |
+
"eval_runtime": 33.0854,
|
| 2791 |
+
"eval_samples_per_second": 38.325,
|
| 2792 |
+
"eval_steps_per_second": 0.604,
|
| 2793 |
+
"step": 3204
|
| 2794 |
+
},
|
| 2795 |
+
{
|
| 2796 |
+
"epoch": 68.11671087533156,
|
| 2797 |
+
"grad_norm": 0.4132453030965077,
|
| 2798 |
+
"learning_rate": 5e-06,
|
| 2799 |
+
"loss": 0.0037,
|
| 2800 |
+
"step": 3210
|
| 2801 |
+
},
|
| 2802 |
+
{
|
| 2803 |
+
"epoch": 68.3289124668435,
|
| 2804 |
+
"grad_norm": 0.38140095612784375,
|
| 2805 |
+
"learning_rate": 5e-06,
|
| 2806 |
+
"loss": 0.0034,
|
| 2807 |
+
"step": 3220
|
| 2808 |
+
},
|
| 2809 |
+
{
|
| 2810 |
+
"epoch": 68.54111405835543,
|
| 2811 |
+
"grad_norm": 0.40173788786098963,
|
| 2812 |
+
"learning_rate": 5e-06,
|
| 2813 |
+
"loss": 0.0035,
|
| 2814 |
+
"step": 3230
|
| 2815 |
+
},
|
| 2816 |
+
{
|
| 2817 |
+
"epoch": 68.75331564986737,
|
| 2818 |
+
"grad_norm": 0.42824163747474797,
|
| 2819 |
+
"learning_rate": 5e-06,
|
| 2820 |
+
"loss": 0.0034,
|
| 2821 |
+
"step": 3240
|
| 2822 |
+
},
|
| 2823 |
+
{
|
| 2824 |
+
"epoch": 68.96551724137932,
|
| 2825 |
+
"grad_norm": 0.43732807576872973,
|
| 2826 |
+
"learning_rate": 5e-06,
|
| 2827 |
+
"loss": 0.0034,
|
| 2828 |
+
"step": 3250
|
| 2829 |
+
},
|
| 2830 |
+
{
|
| 2831 |
+
"epoch": 68.9867374005305,
|
| 2832 |
+
"eval_loss": 2.153766632080078,
|
| 2833 |
+
"eval_runtime": 32.6711,
|
| 2834 |
+
"eval_samples_per_second": 38.811,
|
| 2835 |
+
"eval_steps_per_second": 0.612,
|
| 2836 |
+
"step": 3251
|
| 2837 |
+
},
|
| 2838 |
+
{
|
| 2839 |
+
"epoch": 69.17771883289124,
|
| 2840 |
+
"grad_norm": 0.4193548626603914,
|
| 2841 |
+
"learning_rate": 5e-06,
|
| 2842 |
+
"loss": 0.0032,
|
| 2843 |
+
"step": 3260
|
| 2844 |
+
},
|
| 2845 |
+
{
|
| 2846 |
+
"epoch": 69.38992042440319,
|
| 2847 |
+
"grad_norm": 0.40522275291155146,
|
| 2848 |
+
"learning_rate": 5e-06,
|
| 2849 |
+
"loss": 0.0032,
|
| 2850 |
+
"step": 3270
|
| 2851 |
+
},
|
| 2852 |
+
{
|
| 2853 |
+
"epoch": 69.60212201591511,
|
| 2854 |
+
"grad_norm": 0.4013758280796354,
|
| 2855 |
+
"learning_rate": 5e-06,
|
| 2856 |
+
"loss": 0.0033,
|
| 2857 |
+
"step": 3280
|
| 2858 |
+
},
|
| 2859 |
+
{
|
| 2860 |
+
"epoch": 69.81432360742706,
|
| 2861 |
+
"grad_norm": 0.40290926552605144,
|
| 2862 |
+
"learning_rate": 5e-06,
|
| 2863 |
+
"loss": 0.0034,
|
| 2864 |
+
"step": 3290
|
| 2865 |
+
},
|
| 2866 |
+
{
|
| 2867 |
+
"epoch": 69.9840848806366,
|
| 2868 |
+
"eval_loss": 2.120227336883545,
|
| 2869 |
+
"eval_runtime": 32.4986,
|
| 2870 |
+
"eval_samples_per_second": 39.017,
|
| 2871 |
+
"eval_steps_per_second": 0.615,
|
| 2872 |
+
"step": 3298
|
| 2873 |
+
},
|
| 2874 |
+
{
|
| 2875 |
+
"epoch": 70.026525198939,
|
| 2876 |
+
"grad_norm": 0.33478040634073364,
|
| 2877 |
+
"learning_rate": 5e-06,
|
| 2878 |
+
"loss": 0.0036,
|
| 2879 |
+
"step": 3300
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 70.23872679045093,
|
| 2883 |
+
"grad_norm": 0.4444432922236486,
|
| 2884 |
+
"learning_rate": 5e-06,
|
| 2885 |
+
"loss": 0.0035,
|
| 2886 |
+
"step": 3310
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 70.45092838196287,
|
| 2890 |
+
"grad_norm": 0.4428255323418405,
|
| 2891 |
+
"learning_rate": 5e-06,
|
| 2892 |
+
"loss": 0.0035,
|
| 2893 |
+
"step": 3320
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"epoch": 70.6631299734748,
|
| 2897 |
+
"grad_norm": 0.3731061791107405,
|
| 2898 |
+
"learning_rate": 5e-06,
|
| 2899 |
+
"loss": 0.0034,
|
| 2900 |
+
"step": 3330
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 70.87533156498674,
|
| 2904 |
+
"grad_norm": 0.45145158640780303,
|
| 2905 |
+
"learning_rate": 5e-06,
|
| 2906 |
+
"loss": 0.0035,
|
| 2907 |
+
"step": 3340
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 70.9814323607427,
|
| 2911 |
+
"eval_loss": 2.0325770378112793,
|
| 2912 |
+
"eval_runtime": 32.522,
|
| 2913 |
+
"eval_samples_per_second": 38.989,
|
| 2914 |
+
"eval_steps_per_second": 0.615,
|
| 2915 |
+
"step": 3345
|
| 2916 |
+
},
|
| 2917 |
+
{
|
| 2918 |
+
"epoch": 71.08753315649868,
|
| 2919 |
+
"grad_norm": 0.39240667441244437,
|
| 2920 |
+
"learning_rate": 5e-06,
|
| 2921 |
+
"loss": 0.0034,
|
| 2922 |
+
"step": 3350
|
| 2923 |
+
},
|
| 2924 |
+
{
|
| 2925 |
+
"epoch": 71.29973474801061,
|
| 2926 |
+
"grad_norm": 0.410162121432956,
|
| 2927 |
+
"learning_rate": 5e-06,
|
| 2928 |
+
"loss": 0.0035,
|
| 2929 |
+
"step": 3360
|
| 2930 |
+
},
|
| 2931 |
+
{
|
| 2932 |
+
"epoch": 71.51193633952255,
|
| 2933 |
+
"grad_norm": 0.4249265888654567,
|
| 2934 |
+
"learning_rate": 5e-06,
|
| 2935 |
+
"loss": 0.0035,
|
| 2936 |
+
"step": 3370
|
| 2937 |
+
},
|
| 2938 |
+
{
|
| 2939 |
+
"epoch": 71.72413793103448,
|
| 2940 |
+
"grad_norm": 0.421612196975819,
|
| 2941 |
+
"learning_rate": 5e-06,
|
| 2942 |
+
"loss": 0.0035,
|
| 2943 |
+
"step": 3380
|
| 2944 |
+
},
|
| 2945 |
+
{
|
| 2946 |
+
"epoch": 71.93633952254642,
|
| 2947 |
+
"grad_norm": 0.40146518689087984,
|
| 2948 |
+
"learning_rate": 5e-06,
|
| 2949 |
+
"loss": 0.0035,
|
| 2950 |
+
"step": 3390
|
| 2951 |
+
},
|
| 2952 |
+
{
|
| 2953 |
+
"epoch": 72.0,
|
| 2954 |
+
"eval_loss": 2.136025905609131,
|
| 2955 |
+
"eval_runtime": 32.2821,
|
| 2956 |
+
"eval_samples_per_second": 39.279,
|
| 2957 |
+
"eval_steps_per_second": 0.62,
|
| 2958 |
+
"step": 3393
|
| 2959 |
+
},
|
| 2960 |
+
{
|
| 2961 |
+
"epoch": 72.14854111405836,
|
| 2962 |
+
"grad_norm": 0.4033404722089355,
|
| 2963 |
+
"learning_rate": 5e-06,
|
| 2964 |
+
"loss": 0.0034,
|
| 2965 |
+
"step": 3400
|
| 2966 |
+
},
|
| 2967 |
+
{
|
| 2968 |
+
"epoch": 72.36074270557029,
|
| 2969 |
+
"grad_norm": 0.38031849104486287,
|
| 2970 |
+
"learning_rate": 5e-06,
|
| 2971 |
+
"loss": 0.0036,
|
| 2972 |
+
"step": 3410
|
| 2973 |
+
},
|
| 2974 |
+
{
|
| 2975 |
+
"epoch": 72.57294429708223,
|
| 2976 |
+
"grad_norm": 0.4256890823406434,
|
| 2977 |
+
"learning_rate": 5e-06,
|
| 2978 |
+
"loss": 0.0035,
|
| 2979 |
+
"step": 3420
|
| 2980 |
+
},
|
| 2981 |
+
{
|
| 2982 |
+
"epoch": 72.78514588859416,
|
| 2983 |
+
"grad_norm": 0.39728951575599475,
|
| 2984 |
+
"learning_rate": 5e-06,
|
| 2985 |
+
"loss": 0.0036,
|
| 2986 |
+
"step": 3430
|
| 2987 |
+
},
|
| 2988 |
+
{
|
| 2989 |
+
"epoch": 72.9973474801061,
|
| 2990 |
+
"grad_norm": 0.43366290130989155,
|
| 2991 |
+
"learning_rate": 5e-06,
|
| 2992 |
+
"loss": 0.0036,
|
| 2993 |
+
"step": 3440
|
| 2994 |
+
},
|
| 2995 |
+
{
|
| 2996 |
+
"epoch": 72.9973474801061,
|
| 2997 |
+
"eval_loss": 2.140444278717041,
|
| 2998 |
+
"eval_runtime": 32.097,
|
| 2999 |
+
"eval_samples_per_second": 39.505,
|
| 3000 |
+
"eval_steps_per_second": 0.623,
|
| 3001 |
+
"step": 3440
|
| 3002 |
+
},
|
| 3003 |
+
{
|
| 3004 |
+
"epoch": 73.20954907161804,
|
| 3005 |
+
"grad_norm": 0.4496709542811343,
|
| 3006 |
+
"learning_rate": 5e-06,
|
| 3007 |
+
"loss": 0.0035,
|
| 3008 |
+
"step": 3450
|
| 3009 |
+
},
|
| 3010 |
+
{
|
| 3011 |
+
"epoch": 73.42175066312997,
|
| 3012 |
+
"grad_norm": 0.39499253428451686,
|
| 3013 |
+
"learning_rate": 5e-06,
|
| 3014 |
+
"loss": 0.0037,
|
| 3015 |
+
"step": 3460
|
| 3016 |
+
},
|
| 3017 |
+
{
|
| 3018 |
+
"epoch": 73.63395225464191,
|
| 3019 |
+
"grad_norm": 0.4284470550355988,
|
| 3020 |
+
"learning_rate": 5e-06,
|
| 3021 |
+
"loss": 0.0035,
|
| 3022 |
+
"step": 3470
|
| 3023 |
+
},
|
| 3024 |
+
{
|
| 3025 |
+
"epoch": 73.84615384615384,
|
| 3026 |
+
"grad_norm": 0.37658553910833825,
|
| 3027 |
+
"learning_rate": 5e-06,
|
| 3028 |
+
"loss": 0.0036,
|
| 3029 |
+
"step": 3480
|
| 3030 |
+
},
|
| 3031 |
+
{
|
| 3032 |
+
"epoch": 73.9946949602122,
|
| 3033 |
+
"eval_loss": 2.0650992393493652,
|
| 3034 |
+
"eval_runtime": 32.6236,
|
| 3035 |
+
"eval_samples_per_second": 38.868,
|
| 3036 |
+
"eval_steps_per_second": 0.613,
|
| 3037 |
+
"step": 3487
|
| 3038 |
+
},
|
| 3039 |
+
{
|
| 3040 |
+
"epoch": 74.05835543766578,
|
| 3041 |
+
"grad_norm": 0.3524530444221811,
|
| 3042 |
+
"learning_rate": 5e-06,
|
| 3043 |
+
"loss": 0.0035,
|
| 3044 |
+
"step": 3490
|
| 3045 |
+
},
|
| 3046 |
+
{
|
| 3047 |
+
"epoch": 74.27055702917772,
|
| 3048 |
+
"grad_norm": 0.39409848693901955,
|
| 3049 |
+
"learning_rate": 5e-06,
|
| 3050 |
+
"loss": 0.0033,
|
| 3051 |
+
"step": 3500
|
| 3052 |
+
},
|
| 3053 |
+
{
|
| 3054 |
+
"epoch": 74.48275862068965,
|
| 3055 |
+
"grad_norm": 0.42047378002627894,
|
| 3056 |
+
"learning_rate": 5e-06,
|
| 3057 |
+
"loss": 0.0035,
|
| 3058 |
+
"step": 3510
|
| 3059 |
+
},
|
| 3060 |
+
{
|
| 3061 |
+
"epoch": 74.6949602122016,
|
| 3062 |
+
"grad_norm": 0.40274927089710044,
|
| 3063 |
+
"learning_rate": 5e-06,
|
| 3064 |
+
"loss": 0.0035,
|
| 3065 |
+
"step": 3520
|
| 3066 |
+
},
|
| 3067 |
+
{
|
| 3068 |
+
"epoch": 74.90716180371352,
|
| 3069 |
+
"grad_norm": 0.38906526876812453,
|
| 3070 |
+
"learning_rate": 5e-06,
|
| 3071 |
+
"loss": 0.0035,
|
| 3072 |
+
"step": 3530
|
| 3073 |
+
},
|
| 3074 |
+
{
|
| 3075 |
+
"epoch": 74.9920424403183,
|
| 3076 |
+
"eval_loss": 2.0981507301330566,
|
| 3077 |
+
"eval_runtime": 32.4031,
|
| 3078 |
+
"eval_samples_per_second": 39.132,
|
| 3079 |
+
"eval_steps_per_second": 0.617,
|
| 3080 |
+
"step": 3534
|
| 3081 |
+
},
|
| 3082 |
+
{
|
| 3083 |
+
"epoch": 75.11936339522546,
|
| 3084 |
+
"grad_norm": 0.391750185960046,
|
| 3085 |
+
"learning_rate": 5e-06,
|
| 3086 |
+
"loss": 0.0033,
|
| 3087 |
+
"step": 3540
|
| 3088 |
+
},
|
| 3089 |
+
{
|
| 3090 |
+
"epoch": 75.3315649867374,
|
| 3091 |
+
"grad_norm": 0.37102671261917963,
|
| 3092 |
+
"learning_rate": 5e-06,
|
| 3093 |
+
"loss": 0.0034,
|
| 3094 |
+
"step": 3550
|
| 3095 |
+
},
|
| 3096 |
+
{
|
| 3097 |
+
"epoch": 75.54376657824933,
|
| 3098 |
+
"grad_norm": 0.39585187770926034,
|
| 3099 |
+
"learning_rate": 5e-06,
|
| 3100 |
+
"loss": 0.0033,
|
| 3101 |
+
"step": 3560
|
| 3102 |
+
},
|
| 3103 |
+
{
|
| 3104 |
+
"epoch": 75.75596816976127,
|
| 3105 |
+
"grad_norm": 0.3879324890894751,
|
| 3106 |
+
"learning_rate": 5e-06,
|
| 3107 |
+
"loss": 0.0035,
|
| 3108 |
+
"step": 3570
|
| 3109 |
+
},
|
| 3110 |
+
{
|
| 3111 |
+
"epoch": 75.96816976127322,
|
| 3112 |
+
"grad_norm": 0.37359530892758086,
|
| 3113 |
+
"learning_rate": 5e-06,
|
| 3114 |
+
"loss": 0.0033,
|
| 3115 |
+
"step": 3580
|
| 3116 |
+
},
|
| 3117 |
+
{
|
| 3118 |
+
"epoch": 75.9893899204244,
|
| 3119 |
+
"eval_loss": 2.103228807449341,
|
| 3120 |
+
"eval_runtime": 32.7169,
|
| 3121 |
+
"eval_samples_per_second": 38.757,
|
| 3122 |
+
"eval_steps_per_second": 0.611,
|
| 3123 |
+
"step": 3581
|
| 3124 |
+
},
|
| 3125 |
+
{
|
| 3126 |
+
"epoch": 76.18037135278514,
|
| 3127 |
+
"grad_norm": 0.42277460845620735,
|
| 3128 |
+
"learning_rate": 5e-06,
|
| 3129 |
+
"loss": 0.0032,
|
| 3130 |
+
"step": 3590
|
| 3131 |
+
},
|
| 3132 |
+
{
|
| 3133 |
+
"epoch": 76.39257294429709,
|
| 3134 |
+
"grad_norm": 0.40212189712733326,
|
| 3135 |
+
"learning_rate": 5e-06,
|
| 3136 |
+
"loss": 0.0034,
|
| 3137 |
+
"step": 3600
|
| 3138 |
+
},
|
| 3139 |
+
{
|
| 3140 |
+
"epoch": 76.60477453580901,
|
| 3141 |
+
"grad_norm": 0.3777986994301868,
|
| 3142 |
+
"learning_rate": 5e-06,
|
| 3143 |
+
"loss": 0.0033,
|
| 3144 |
+
"step": 3610
|
| 3145 |
+
},
|
| 3146 |
+
{
|
| 3147 |
+
"epoch": 76.81697612732096,
|
| 3148 |
+
"grad_norm": 0.38925756096466013,
|
| 3149 |
+
"learning_rate": 5e-06,
|
| 3150 |
+
"loss": 0.0034,
|
| 3151 |
+
"step": 3620
|
| 3152 |
+
},
|
| 3153 |
+
{
|
| 3154 |
+
"epoch": 76.9867374005305,
|
| 3155 |
+
"eval_loss": 2.1027870178222656,
|
| 3156 |
+
"eval_runtime": 36.1826,
|
| 3157 |
+
"eval_samples_per_second": 35.044,
|
| 3158 |
+
"eval_steps_per_second": 0.553,
|
| 3159 |
+
"step": 3628
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"epoch": 77.0291777188329,
|
| 3163 |
+
"grad_norm": 0.30271858281583675,
|
| 3164 |
+
"learning_rate": 5e-06,
|
| 3165 |
+
"loss": 0.0033,
|
| 3166 |
+
"step": 3630
|
| 3167 |
+
},
|
| 3168 |
+
{
|
| 3169 |
+
"epoch": 77.24137931034483,
|
| 3170 |
+
"grad_norm": 0.3593487322443487,
|
| 3171 |
+
"learning_rate": 5e-06,
|
| 3172 |
+
"loss": 0.0029,
|
| 3173 |
+
"step": 3640
|
| 3174 |
+
},
|
| 3175 |
+
{
|
| 3176 |
+
"epoch": 77.45358090185677,
|
| 3177 |
+
"grad_norm": 0.3928032494121523,
|
| 3178 |
+
"learning_rate": 5e-06,
|
| 3179 |
+
"loss": 0.0031,
|
| 3180 |
+
"step": 3650
|
| 3181 |
+
},
|
| 3182 |
+
{
|
| 3183 |
+
"epoch": 77.6657824933687,
|
| 3184 |
+
"grad_norm": 0.38150790402677676,
|
| 3185 |
+
"learning_rate": 5e-06,
|
| 3186 |
+
"loss": 0.0033,
|
| 3187 |
+
"step": 3660
|
| 3188 |
+
},
|
| 3189 |
+
{
|
| 3190 |
+
"epoch": 77.87798408488064,
|
| 3191 |
+
"grad_norm": 0.4066783948821425,
|
| 3192 |
+
"learning_rate": 5e-06,
|
| 3193 |
+
"loss": 0.0032,
|
| 3194 |
+
"step": 3670
|
| 3195 |
+
},
|
| 3196 |
+
{
|
| 3197 |
+
"epoch": 77.9840848806366,
|
| 3198 |
+
"eval_loss": 2.1281707286834717,
|
| 3199 |
+
"eval_runtime": 33.2769,
|
| 3200 |
+
"eval_samples_per_second": 38.104,
|
| 3201 |
+
"eval_steps_per_second": 0.601,
|
| 3202 |
+
"step": 3675
|
| 3203 |
+
},
|
| 3204 |
+
{
|
| 3205 |
+
"epoch": 78.09018567639258,
|
| 3206 |
+
"grad_norm": 0.4254092923201944,
|
| 3207 |
+
"learning_rate": 5e-06,
|
| 3208 |
+
"loss": 0.0033,
|
| 3209 |
+
"step": 3680
|
| 3210 |
+
},
|
| 3211 |
+
{
|
| 3212 |
+
"epoch": 78.3023872679045,
|
| 3213 |
+
"grad_norm": 0.4237268227184133,
|
| 3214 |
+
"learning_rate": 5e-06,
|
| 3215 |
+
"loss": 0.0032,
|
| 3216 |
+
"step": 3690
|
| 3217 |
+
},
|
| 3218 |
+
{
|
| 3219 |
+
"epoch": 78.51458885941645,
|
| 3220 |
+
"grad_norm": 0.3749003036052785,
|
| 3221 |
+
"learning_rate": 5e-06,
|
| 3222 |
+
"loss": 0.0031,
|
| 3223 |
+
"step": 3700
|
| 3224 |
+
},
|
| 3225 |
+
{
|
| 3226 |
+
"epoch": 78.72679045092838,
|
| 3227 |
+
"grad_norm": 0.41557736596568606,
|
| 3228 |
+
"learning_rate": 5e-06,
|
| 3229 |
+
"loss": 0.0032,
|
| 3230 |
+
"step": 3710
|
| 3231 |
+
},
|
| 3232 |
+
{
|
| 3233 |
+
"epoch": 78.93899204244032,
|
| 3234 |
+
"grad_norm": 0.39852779609547256,
|
| 3235 |
+
"learning_rate": 5e-06,
|
| 3236 |
+
"loss": 0.0031,
|
| 3237 |
+
"step": 3720
|
| 3238 |
+
},
|
| 3239 |
+
{
|
| 3240 |
+
"epoch": 78.9814323607427,
|
| 3241 |
+
"eval_loss": 2.0912187099456787,
|
| 3242 |
+
"eval_runtime": 32.9798,
|
| 3243 |
+
"eval_samples_per_second": 38.448,
|
| 3244 |
+
"eval_steps_per_second": 0.606,
|
| 3245 |
+
"step": 3722
|
| 3246 |
+
},
|
| 3247 |
+
{
|
| 3248 |
+
"epoch": 79.15119363395226,
|
| 3249 |
+
"grad_norm": 0.4152067446748348,
|
| 3250 |
+
"learning_rate": 5e-06,
|
| 3251 |
+
"loss": 0.0032,
|
| 3252 |
+
"step": 3730
|
| 3253 |
+
},
|
| 3254 |
+
{
|
| 3255 |
+
"epoch": 79.36339522546419,
|
| 3256 |
+
"grad_norm": 0.38606471153466937,
|
| 3257 |
+
"learning_rate": 5e-06,
|
| 3258 |
+
"loss": 0.0031,
|
| 3259 |
+
"step": 3740
|
| 3260 |
+
},
|
| 3261 |
+
{
|
| 3262 |
+
"epoch": 79.57559681697613,
|
| 3263 |
+
"grad_norm": 0.36517885494113134,
|
| 3264 |
+
"learning_rate": 5e-06,
|
| 3265 |
+
"loss": 0.0031,
|
| 3266 |
+
"step": 3750
|
| 3267 |
+
},
|
| 3268 |
+
{
|
| 3269 |
+
"epoch": 79.78779840848806,
|
| 3270 |
+
"grad_norm": 0.3821448630598915,
|
| 3271 |
+
"learning_rate": 5e-06,
|
| 3272 |
+
"loss": 0.0034,
|
| 3273 |
+
"step": 3760
|
| 3274 |
+
},
|
| 3275 |
+
{
|
| 3276 |
+
"epoch": 80.0,
|
| 3277 |
+
"grad_norm": 1.069831765212845,
|
| 3278 |
+
"learning_rate": 5e-06,
|
| 3279 |
+
"loss": 0.0035,
|
| 3280 |
+
"step": 3770
|
| 3281 |
+
},
|
| 3282 |
+
{
|
| 3283 |
+
"epoch": 80.0,
|
| 3284 |
+
"eval_loss": 2.0766139030456543,
|
| 3285 |
+
"eval_runtime": 36.0827,
|
| 3286 |
+
"eval_samples_per_second": 35.141,
|
| 3287 |
+
"eval_steps_per_second": 0.554,
|
| 3288 |
+
"step": 3770
|
| 3289 |
+
},
|
| 3290 |
+
{
|
| 3291 |
+
"epoch": 80.21220159151194,
|
| 3292 |
+
"grad_norm": 0.3955091796926952,
|
| 3293 |
+
"learning_rate": 5e-06,
|
| 3294 |
+
"loss": 0.003,
|
| 3295 |
+
"step": 3780
|
| 3296 |
+
},
|
| 3297 |
+
{
|
| 3298 |
+
"epoch": 80.42440318302387,
|
| 3299 |
+
"grad_norm": 0.4047467697372624,
|
| 3300 |
+
"learning_rate": 5e-06,
|
| 3301 |
+
"loss": 0.0035,
|
| 3302 |
+
"step": 3790
|
| 3303 |
+
},
|
| 3304 |
+
{
|
| 3305 |
+
"epoch": 80.63660477453581,
|
| 3306 |
+
"grad_norm": 0.41826706633766736,
|
| 3307 |
+
"learning_rate": 5e-06,
|
| 3308 |
+
"loss": 0.0033,
|
| 3309 |
+
"step": 3800
|
| 3310 |
+
},
|
| 3311 |
+
{
|
| 3312 |
+
"epoch": 80.84880636604774,
|
| 3313 |
+
"grad_norm": 0.37028002132024623,
|
| 3314 |
+
"learning_rate": 5e-06,
|
| 3315 |
+
"loss": 0.0033,
|
| 3316 |
+
"step": 3810
|
| 3317 |
+
},
|
| 3318 |
+
{
|
| 3319 |
+
"epoch": 80.9973474801061,
|
| 3320 |
+
"eval_loss": 2.028625011444092,
|
| 3321 |
+
"eval_runtime": 32.7509,
|
| 3322 |
+
"eval_samples_per_second": 38.716,
|
| 3323 |
+
"eval_steps_per_second": 0.611,
|
| 3324 |
+
"step": 3817
|
| 3325 |
+
},
|
| 3326 |
+
{
|
| 3327 |
+
"epoch": 81.06100795755968,
|
| 3328 |
+
"grad_norm": 0.3285928992254024,
|
| 3329 |
+
"learning_rate": 5e-06,
|
| 3330 |
+
"loss": 0.0035,
|
| 3331 |
+
"step": 3820
|
| 3332 |
+
},
|
| 3333 |
+
{
|
| 3334 |
+
"epoch": 81.27320954907162,
|
| 3335 |
+
"grad_norm": 0.3809186826303398,
|
| 3336 |
+
"learning_rate": 5e-06,
|
| 3337 |
+
"loss": 0.0032,
|
| 3338 |
+
"step": 3830
|
| 3339 |
+
},
|
| 3340 |
+
{
|
| 3341 |
+
"epoch": 81.48541114058355,
|
| 3342 |
+
"grad_norm": 0.3874865576437627,
|
| 3343 |
+
"learning_rate": 5e-06,
|
| 3344 |
+
"loss": 0.0034,
|
| 3345 |
+
"step": 3840
|
| 3346 |
+
},
|
| 3347 |
+
{
|
| 3348 |
+
"epoch": 81.6976127320955,
|
| 3349 |
+
"grad_norm": 0.37847785183804333,
|
| 3350 |
+
"learning_rate": 5e-06,
|
| 3351 |
+
"loss": 0.0033,
|
| 3352 |
+
"step": 3850
|
| 3353 |
+
},
|
| 3354 |
+
{
|
| 3355 |
+
"epoch": 81.90981432360742,
|
| 3356 |
+
"grad_norm": 0.3922681560686074,
|
| 3357 |
+
"learning_rate": 5e-06,
|
| 3358 |
+
"loss": 0.0033,
|
| 3359 |
+
"step": 3860
|
| 3360 |
+
},
|
| 3361 |
+
{
|
| 3362 |
+
"epoch": 81.9946949602122,
|
| 3363 |
+
"eval_loss": 2.042055606842041,
|
| 3364 |
+
"eval_runtime": 32.8433,
|
| 3365 |
+
"eval_samples_per_second": 38.608,
|
| 3366 |
+
"eval_steps_per_second": 0.609,
|
| 3367 |
+
"step": 3864
|
| 3368 |
+
},
|
| 3369 |
+
{
|
| 3370 |
+
"epoch": 82.12201591511936,
|
| 3371 |
+
"grad_norm": 0.4245011346154422,
|
| 3372 |
+
"learning_rate": 5e-06,
|
| 3373 |
+
"loss": 0.0033,
|
| 3374 |
+
"step": 3870
|
| 3375 |
+
},
|
| 3376 |
+
{
|
| 3377 |
+
"epoch": 82.3342175066313,
|
| 3378 |
+
"grad_norm": 0.42806989556347114,
|
| 3379 |
+
"learning_rate": 5e-06,
|
| 3380 |
+
"loss": 0.0034,
|
| 3381 |
+
"step": 3880
|
| 3382 |
+
},
|
| 3383 |
+
{
|
| 3384 |
+
"epoch": 82.54641909814323,
|
| 3385 |
+
"grad_norm": 0.3830977535195959,
|
| 3386 |
+
"learning_rate": 5e-06,
|
| 3387 |
+
"loss": 0.0034,
|
| 3388 |
+
"step": 3890
|
| 3389 |
+
},
|
| 3390 |
+
{
|
| 3391 |
+
"epoch": 82.75862068965517,
|
| 3392 |
+
"grad_norm": 0.3879066862101996,
|
| 3393 |
+
"learning_rate": 5e-06,
|
| 3394 |
+
"loss": 0.0034,
|
| 3395 |
+
"step": 3900
|
| 3396 |
+
},
|
| 3397 |
+
{
|
| 3398 |
+
"epoch": 82.9708222811671,
|
| 3399 |
+
"grad_norm": 0.3897894318429504,
|
| 3400 |
+
"learning_rate": 5e-06,
|
| 3401 |
+
"loss": 0.0034,
|
| 3402 |
+
"step": 3910
|
| 3403 |
+
},
|
| 3404 |
+
{
|
| 3405 |
+
"epoch": 82.9920424403183,
|
| 3406 |
+
"eval_loss": 2.1120784282684326,
|
| 3407 |
+
"eval_runtime": 32.6153,
|
| 3408 |
+
"eval_samples_per_second": 38.877,
|
| 3409 |
+
"eval_steps_per_second": 0.613,
|
| 3410 |
+
"step": 3911
|
| 3411 |
+
},
|
| 3412 |
+
{
|
| 3413 |
+
"epoch": 83.18302387267904,
|
| 3414 |
+
"grad_norm": 0.39240258603690487,
|
| 3415 |
+
"learning_rate": 5e-06,
|
| 3416 |
+
"loss": 0.0032,
|
| 3417 |
+
"step": 3920
|
| 3418 |
+
},
|
| 3419 |
+
{
|
| 3420 |
+
"epoch": 83.39522546419099,
|
| 3421 |
+
"grad_norm": 0.3785833044107697,
|
| 3422 |
+
"learning_rate": 5e-06,
|
| 3423 |
+
"loss": 0.0034,
|
| 3424 |
+
"step": 3930
|
| 3425 |
+
},
|
| 3426 |
+
{
|
| 3427 |
+
"epoch": 83.60742705570291,
|
| 3428 |
+
"grad_norm": 0.398236658165694,
|
| 3429 |
+
"learning_rate": 5e-06,
|
| 3430 |
+
"loss": 0.0033,
|
| 3431 |
+
"step": 3940
|
| 3432 |
+
},
|
| 3433 |
+
{
|
| 3434 |
+
"epoch": 83.81962864721486,
|
| 3435 |
+
"grad_norm": 0.39280664719194336,
|
| 3436 |
+
"learning_rate": 5e-06,
|
| 3437 |
+
"loss": 0.0033,
|
| 3438 |
+
"step": 3950
|
| 3439 |
+
},
|
| 3440 |
+
{
|
| 3441 |
+
"epoch": 83.9893899204244,
|
| 3442 |
+
"eval_loss": 2.0832369327545166,
|
| 3443 |
+
"eval_runtime": 32.8433,
|
| 3444 |
+
"eval_samples_per_second": 38.608,
|
| 3445 |
+
"eval_steps_per_second": 0.609,
|
| 3446 |
+
"step": 3958
|
| 3447 |
+
},
|
| 3448 |
+
{
|
| 3449 |
+
"epoch": 84.03183023872678,
|
| 3450 |
+
"grad_norm": 0.30807225168642,
|
| 3451 |
+
"learning_rate": 5e-06,
|
| 3452 |
+
"loss": 0.0035,
|
| 3453 |
+
"step": 3960
|
| 3454 |
+
},
|
| 3455 |
+
{
|
| 3456 |
+
"epoch": 84.24403183023873,
|
| 3457 |
+
"grad_norm": 0.36812175135622494,
|
| 3458 |
+
"learning_rate": 5e-06,
|
| 3459 |
+
"loss": 0.0032,
|
| 3460 |
+
"step": 3970
|
| 3461 |
+
},
|
| 3462 |
+
{
|
| 3463 |
+
"epoch": 84.45623342175067,
|
| 3464 |
+
"grad_norm": 0.369807803862527,
|
| 3465 |
+
"learning_rate": 5e-06,
|
| 3466 |
+
"loss": 0.0036,
|
| 3467 |
+
"step": 3980
|
| 3468 |
+
},
|
| 3469 |
+
{
|
| 3470 |
+
"epoch": 84.6684350132626,
|
| 3471 |
+
"grad_norm": 0.39775427720504497,
|
| 3472 |
+
"learning_rate": 5e-06,
|
| 3473 |
+
"loss": 0.0034,
|
| 3474 |
+
"step": 3990
|
| 3475 |
+
},
|
| 3476 |
+
{
|
| 3477 |
+
"epoch": 84.88063660477454,
|
| 3478 |
+
"grad_norm": 0.40370336788928685,
|
| 3479 |
+
"learning_rate": 5e-06,
|
| 3480 |
+
"loss": 0.0033,
|
| 3481 |
+
"step": 4000
|
| 3482 |
+
},
|
| 3483 |
+
{
|
| 3484 |
+
"epoch": 84.9867374005305,
|
| 3485 |
+
"eval_loss": 2.062901020050049,
|
| 3486 |
+
"eval_runtime": 32.7157,
|
| 3487 |
+
"eval_samples_per_second": 38.758,
|
| 3488 |
+
"eval_steps_per_second": 0.611,
|
| 3489 |
+
"step": 4005
|
| 3490 |
+
},
|
| 3491 |
+
{
|
| 3492 |
+
"epoch": 85.09283819628648,
|
| 3493 |
+
"grad_norm": 0.3738072261450451,
|
| 3494 |
+
"learning_rate": 5e-06,
|
| 3495 |
+
"loss": 0.0034,
|
| 3496 |
+
"step": 4010
|
| 3497 |
+
},
|
| 3498 |
+
{
|
| 3499 |
+
"epoch": 85.3050397877984,
|
| 3500 |
+
"grad_norm": 0.3795696496333657,
|
| 3501 |
+
"learning_rate": 5e-06,
|
| 3502 |
+
"loss": 0.0034,
|
| 3503 |
+
"step": 4020
|
| 3504 |
+
},
|
| 3505 |
+
{
|
| 3506 |
+
"epoch": 85.51724137931035,
|
| 3507 |
+
"grad_norm": 0.38039726228824045,
|
| 3508 |
+
"learning_rate": 5e-06,
|
| 3509 |
+
"loss": 0.0034,
|
| 3510 |
+
"step": 4030
|
| 3511 |
+
},
|
| 3512 |
+
{
|
| 3513 |
+
"epoch": 85.72944297082228,
|
| 3514 |
+
"grad_norm": 0.3713007889093348,
|
| 3515 |
+
"learning_rate": 5e-06,
|
| 3516 |
+
"loss": 0.0033,
|
| 3517 |
+
"step": 4040
|
| 3518 |
+
},
|
| 3519 |
+
{
|
| 3520 |
+
"epoch": 85.94164456233422,
|
| 3521 |
+
"grad_norm": 0.37549610663101146,
|
| 3522 |
+
"learning_rate": 5e-06,
|
| 3523 |
+
"loss": 0.0034,
|
| 3524 |
+
"step": 4050
|
| 3525 |
+
},
|
| 3526 |
+
{
|
| 3527 |
+
"epoch": 85.9840848806366,
|
| 3528 |
+
"eval_loss": 2.139768600463867,
|
| 3529 |
+
"eval_runtime": 32.9089,
|
| 3530 |
+
"eval_samples_per_second": 38.531,
|
| 3531 |
+
"eval_steps_per_second": 0.608,
|
| 3532 |
+
"step": 4052
|
| 3533 |
+
},
|
| 3534 |
+
{
|
| 3535 |
+
"epoch": 86.15384615384616,
|
| 3536 |
+
"grad_norm": 0.3715883533673372,
|
| 3537 |
+
"learning_rate": 5e-06,
|
| 3538 |
+
"loss": 0.0031,
|
| 3539 |
+
"step": 4060
|
| 3540 |
+
},
|
| 3541 |
+
{
|
| 3542 |
+
"epoch": 86.36604774535809,
|
| 3543 |
+
"grad_norm": 0.3641808355872779,
|
| 3544 |
+
"learning_rate": 5e-06,
|
| 3545 |
+
"loss": 0.0032,
|
| 3546 |
+
"step": 4070
|
| 3547 |
+
},
|
| 3548 |
+
{
|
| 3549 |
+
"epoch": 86.57824933687003,
|
| 3550 |
+
"grad_norm": 0.34484938990099384,
|
| 3551 |
+
"learning_rate": 5e-06,
|
| 3552 |
+
"loss": 0.0032,
|
| 3553 |
+
"step": 4080
|
| 3554 |
+
},
|
| 3555 |
+
{
|
| 3556 |
+
"epoch": 86.79045092838196,
|
| 3557 |
+
"grad_norm": 0.3959007738714927,
|
| 3558 |
+
"learning_rate": 5e-06,
|
| 3559 |
+
"loss": 0.0032,
|
| 3560 |
+
"step": 4090
|
| 3561 |
+
},
|
| 3562 |
+
{
|
| 3563 |
+
"epoch": 86.9814323607427,
|
| 3564 |
+
"eval_loss": 2.1202690601348877,
|
| 3565 |
+
"eval_runtime": 32.6798,
|
| 3566 |
+
"eval_samples_per_second": 38.801,
|
| 3567 |
+
"eval_steps_per_second": 0.612,
|
| 3568 |
+
"step": 4099
|
| 3569 |
+
},
|
| 3570 |
+
{
|
| 3571 |
+
"epoch": 87.0026525198939,
|
| 3572 |
+
"grad_norm": 1.2065263867474234,
|
| 3573 |
+
"learning_rate": 5e-06,
|
| 3574 |
+
"loss": 0.0037,
|
| 3575 |
+
"step": 4100
|
| 3576 |
+
},
|
| 3577 |
+
{
|
| 3578 |
+
"epoch": 87.21485411140584,
|
| 3579 |
+
"grad_norm": 0.38654766276954855,
|
| 3580 |
+
"learning_rate": 5e-06,
|
| 3581 |
+
"loss": 0.0029,
|
| 3582 |
+
"step": 4110
|
| 3583 |
+
},
|
| 3584 |
+
{
|
| 3585 |
+
"epoch": 87.42705570291777,
|
| 3586 |
+
"grad_norm": 0.35185210725163113,
|
| 3587 |
+
"learning_rate": 5e-06,
|
| 3588 |
+
"loss": 0.0032,
|
| 3589 |
+
"step": 4120
|
| 3590 |
+
},
|
| 3591 |
+
{
|
| 3592 |
+
"epoch": 87.63925729442971,
|
| 3593 |
+
"grad_norm": 0.3676215168760901,
|
| 3594 |
+
"learning_rate": 5e-06,
|
| 3595 |
+
"loss": 0.003,
|
| 3596 |
+
"step": 4130
|
| 3597 |
+
},
|
| 3598 |
+
{
|
| 3599 |
+
"epoch": 87.85145888594164,
|
| 3600 |
+
"grad_norm": 0.377935707153379,
|
| 3601 |
+
"learning_rate": 5e-06,
|
| 3602 |
+
"loss": 0.0032,
|
| 3603 |
+
"step": 4140
|
| 3604 |
+
},
|
| 3605 |
+
{
|
| 3606 |
+
"epoch": 88.0,
|
| 3607 |
+
"eval_loss": 2.1025404930114746,
|
| 3608 |
+
"eval_runtime": 32.6763,
|
| 3609 |
+
"eval_samples_per_second": 38.805,
|
| 3610 |
+
"eval_steps_per_second": 0.612,
|
| 3611 |
+
"step": 4147
|
| 3612 |
+
},
|
| 3613 |
+
{
|
| 3614 |
+
"epoch": 88.06366047745358,
|
| 3615 |
+
"grad_norm": 0.36496057691677547,
|
| 3616 |
+
"learning_rate": 5e-06,
|
| 3617 |
+
"loss": 0.003,
|
| 3618 |
+
"step": 4150
|
| 3619 |
+
},
|
| 3620 |
+
{
|
| 3621 |
+
"epoch": 88.27586206896552,
|
| 3622 |
+
"grad_norm": 0.3627213451338797,
|
| 3623 |
+
"learning_rate": 5e-06,
|
| 3624 |
+
"loss": 0.0033,
|
| 3625 |
+
"step": 4160
|
| 3626 |
+
},
|
| 3627 |
+
{
|
| 3628 |
+
"epoch": 88.48806366047745,
|
| 3629 |
+
"grad_norm": 0.376136307650028,
|
| 3630 |
+
"learning_rate": 5e-06,
|
| 3631 |
+
"loss": 0.0033,
|
| 3632 |
+
"step": 4170
|
| 3633 |
+
},
|
| 3634 |
+
{
|
| 3635 |
+
"epoch": 88.70026525198939,
|
| 3636 |
+
"grad_norm": 0.36039763340117825,
|
| 3637 |
+
"learning_rate": 5e-06,
|
| 3638 |
+
"loss": 0.0035,
|
| 3639 |
+
"step": 4180
|
| 3640 |
+
},
|
| 3641 |
+
{
|
| 3642 |
+
"epoch": 88.76392572944297,
|
| 3643 |
+
"eval_loss": 2.0839004516601562,
|
| 3644 |
+
"eval_runtime": 32.6684,
|
| 3645 |
+
"eval_samples_per_second": 38.814,
|
| 3646 |
+
"eval_steps_per_second": 0.612,
|
| 3647 |
+
"step": 4183
|
| 3648 |
+
},
|
| 3649 |
+
{
|
| 3650 |
+
"epoch": 88.76392572944297,
|
| 3651 |
+
"step": 4183,
|
| 3652 |
+
"total_flos": 7006471418019840.0,
|
| 3653 |
+
"train_loss": 0.08750477477266028,
|
| 3654 |
+
"train_runtime": 144988.2671,
|
| 3655 |
+
"train_samples_per_second": 14.779,
|
| 3656 |
+
"train_steps_per_second": 0.029
|
| 3657 |
+
}
|
| 3658 |
+
],
|
| 3659 |
+
"logging_steps": 10,
|
| 3660 |
+
"max_steps": 4183,
|
| 3661 |
+
"num_input_tokens_seen": 0,
|
| 3662 |
+
"num_train_epochs": 89,
|
| 3663 |
+
"save_steps": 500,
|
| 3664 |
+
"stateful_callbacks": {
|
| 3665 |
+
"TrainerControl": {
|
| 3666 |
+
"args": {
|
| 3667 |
+
"should_epoch_stop": false,
|
| 3668 |
+
"should_evaluate": false,
|
| 3669 |
+
"should_log": false,
|
| 3670 |
+
"should_save": true,
|
| 3671 |
+
"should_training_stop": true
|
| 3672 |
+
},
|
| 3673 |
+
"attributes": {}
|
| 3674 |
+
}
|
| 3675 |
+
},
|
| 3676 |
+
"total_flos": 7006471418019840.0,
|
| 3677 |
+
"train_batch_size": 8,
|
| 3678 |
+
"trial_name": null,
|
| 3679 |
+
"trial_params": null
|
| 3680 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|