Training in progress, step 500
Browse files- all_results.json +17 -0
- eval_results.json +12 -0
- model.safetensors +1 -1
- train_results.json +8 -0
- trainer_state.json +861 -0
- training_args.bin +1 -1
all_results.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.42229081690787607,
|
| 4 |
+
"eval_bleu": 0.14716948360816273,
|
| 5 |
+
"eval_loss": 3.162383794784546,
|
| 6 |
+
"eval_perplexity": 23.6268504156496,
|
| 7 |
+
"eval_runtime": 19.5717,
|
| 8 |
+
"eval_samples": 1141,
|
| 9 |
+
"eval_samples_per_second": 58.298,
|
| 10 |
+
"eval_steps_per_second": 0.92,
|
| 11 |
+
"perplexity": 23.6268504156496,
|
| 12 |
+
"total_flos": 1.0586630697202483e+18,
|
| 13 |
+
"train_loss": 3.7611954097127005,
|
| 14 |
+
"train_runtime": 27476.9125,
|
| 15 |
+
"train_samples_per_second": 20.744,
|
| 16 |
+
"train_steps_per_second": 0.324
|
| 17 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.42229081690787607,
|
| 4 |
+
"eval_bleu": 0.14716948360816273,
|
| 5 |
+
"eval_loss": 3.162383794784546,
|
| 6 |
+
"eval_perplexity": 23.6268504156496,
|
| 7 |
+
"eval_runtime": 19.5717,
|
| 8 |
+
"eval_samples": 1141,
|
| 9 |
+
"eval_samples_per_second": 58.298,
|
| 10 |
+
"eval_steps_per_second": 0.92,
|
| 11 |
+
"perplexity": 23.6268504156496
|
| 12 |
+
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1419322880
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0dd2a933b62db05406e7bc632dd3d1ce3e4305b6f1a4946d78172bde840a9bc3
|
| 3 |
size 1419322880
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"total_flos": 1.0586630697202483e+18,
|
| 4 |
+
"train_loss": 3.7611954097127005,
|
| 5 |
+
"train_runtime": 27476.9125,
|
| 6 |
+
"train_samples_per_second": 20.744,
|
| 7 |
+
"train_steps_per_second": 0.324
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,861 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 3.1670639514923096,
|
| 3 |
+
"best_model_checkpoint": "./output/models/gpt2-medium-wikitext/checkpoint-8500",
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 8910,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05611672278338945,
|
| 13 |
+
"grad_norm": 1.7955036163330078,
|
| 14 |
+
"learning_rate": 1.1223344556677892e-05,
|
| 15 |
+
"loss": 8.9349,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.1122334455667789,
|
| 20 |
+
"grad_norm": 1.2832236289978027,
|
| 21 |
+
"learning_rate": 2.2446689113355783e-05,
|
| 22 |
+
"loss": 7.3426,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.16835016835016836,
|
| 27 |
+
"grad_norm": 1.585518717765808,
|
| 28 |
+
"learning_rate": 3.3670033670033675e-05,
|
| 29 |
+
"loss": 6.6306,
|
| 30 |
+
"step": 300
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.2244668911335578,
|
| 34 |
+
"grad_norm": 1.6020684242248535,
|
| 35 |
+
"learning_rate": 4.4893378226711566e-05,
|
| 36 |
+
"loss": 6.3121,
|
| 37 |
+
"step": 400
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.28058361391694725,
|
| 41 |
+
"grad_norm": 1.7420004606246948,
|
| 42 |
+
"learning_rate": 5.611672278338945e-05,
|
| 43 |
+
"loss": 6.0809,
|
| 44 |
+
"step": 500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.28058361391694725,
|
| 48 |
+
"eval_accuracy": 0.1883480988962881,
|
| 49 |
+
"eval_bleu": 0.03330409357604442,
|
| 50 |
+
"eval_loss": 5.957973480224609,
|
| 51 |
+
"eval_perplexity": 386.8254200337184,
|
| 52 |
+
"eval_runtime": 19.389,
|
| 53 |
+
"eval_samples_per_second": 58.848,
|
| 54 |
+
"eval_steps_per_second": 0.928,
|
| 55 |
+
"step": 500
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.3367003367003367,
|
| 59 |
+
"grad_norm": 1.2030788660049438,
|
| 60 |
+
"learning_rate": 6.734006734006735e-05,
|
| 61 |
+
"loss": 5.8698,
|
| 62 |
+
"step": 600
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.39281705948372614,
|
| 66 |
+
"grad_norm": 1.6605628728866577,
|
| 67 |
+
"learning_rate": 7.856341189674523e-05,
|
| 68 |
+
"loss": 5.6555,
|
| 69 |
+
"step": 700
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.4489337822671156,
|
| 73 |
+
"grad_norm": 1.6018306016921997,
|
| 74 |
+
"learning_rate": 8.978675645342313e-05,
|
| 75 |
+
"loss": 5.4756,
|
| 76 |
+
"step": 800
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 0.5050505050505051,
|
| 80 |
+
"grad_norm": 1.2040090560913086,
|
| 81 |
+
"learning_rate": 9.988776655443322e-05,
|
| 82 |
+
"loss": 5.2646,
|
| 83 |
+
"step": 900
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.5611672278338945,
|
| 87 |
+
"grad_norm": 1.292252779006958,
|
| 88 |
+
"learning_rate": 9.864072827035791e-05,
|
| 89 |
+
"loss": 5.0644,
|
| 90 |
+
"step": 1000
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.5611672278338945,
|
| 94 |
+
"eval_accuracy": 0.26234126056014045,
|
| 95 |
+
"eval_bleu": 0.0650543285360525,
|
| 96 |
+
"eval_loss": 4.919076442718506,
|
| 97 |
+
"eval_perplexity": 136.87614183623467,
|
| 98 |
+
"eval_runtime": 14.9502,
|
| 99 |
+
"eval_samples_per_second": 76.32,
|
| 100 |
+
"eval_steps_per_second": 1.204,
|
| 101 |
+
"step": 1000
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.6172839506172839,
|
| 105 |
+
"grad_norm": 0.9987787008285522,
|
| 106 |
+
"learning_rate": 9.73936899862826e-05,
|
| 107 |
+
"loss": 4.8884,
|
| 108 |
+
"step": 1100
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.6734006734006734,
|
| 112 |
+
"grad_norm": 0.983322262763977,
|
| 113 |
+
"learning_rate": 9.614665170220725e-05,
|
| 114 |
+
"loss": 4.7342,
|
| 115 |
+
"step": 1200
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.7295173961840629,
|
| 119 |
+
"grad_norm": 0.9396106004714966,
|
| 120 |
+
"learning_rate": 9.489961341813194e-05,
|
| 121 |
+
"loss": 4.5934,
|
| 122 |
+
"step": 1300
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.7856341189674523,
|
| 126 |
+
"grad_norm": 0.9439830780029297,
|
| 127 |
+
"learning_rate": 9.365257513405662e-05,
|
| 128 |
+
"loss": 4.4643,
|
| 129 |
+
"step": 1400
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.8417508417508418,
|
| 133 |
+
"grad_norm": 0.9339156150817871,
|
| 134 |
+
"learning_rate": 9.24055368499813e-05,
|
| 135 |
+
"loss": 4.3331,
|
| 136 |
+
"step": 1500
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.8417508417508418,
|
| 140 |
+
"eval_accuracy": 0.32261577066643365,
|
| 141 |
+
"eval_bleu": 0.0889997104198564,
|
| 142 |
+
"eval_loss": 4.212368965148926,
|
| 143 |
+
"eval_perplexity": 67.51629425712589,
|
| 144 |
+
"eval_runtime": 19.4999,
|
| 145 |
+
"eval_samples_per_second": 58.513,
|
| 146 |
+
"eval_steps_per_second": 0.923,
|
| 147 |
+
"step": 1500
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.8978675645342312,
|
| 151 |
+
"grad_norm": 0.8961524367332458,
|
| 152 |
+
"learning_rate": 9.115849856590598e-05,
|
| 153 |
+
"loss": 4.2464,
|
| 154 |
+
"step": 1600
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 0.9539842873176206,
|
| 158 |
+
"grad_norm": 0.844565749168396,
|
| 159 |
+
"learning_rate": 8.991146028183066e-05,
|
| 160 |
+
"loss": 4.1434,
|
| 161 |
+
"step": 1700
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 1.0101010101010102,
|
| 165 |
+
"grad_norm": 0.8904160857200623,
|
| 166 |
+
"learning_rate": 8.866442199775533e-05,
|
| 167 |
+
"loss": 4.0797,
|
| 168 |
+
"step": 1800
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 1.0662177328843996,
|
| 172 |
+
"grad_norm": 0.8723273277282715,
|
| 173 |
+
"learning_rate": 8.741738371368002e-05,
|
| 174 |
+
"loss": 3.9988,
|
| 175 |
+
"step": 1900
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"epoch": 1.122334455667789,
|
| 179 |
+
"grad_norm": 0.8569739460945129,
|
| 180 |
+
"learning_rate": 8.617034542960469e-05,
|
| 181 |
+
"loss": 3.9451,
|
| 182 |
+
"step": 2000
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 1.122334455667789,
|
| 186 |
+
"eval_accuracy": 0.35319123781423406,
|
| 187 |
+
"eval_bleu": 0.1090324206065986,
|
| 188 |
+
"eval_loss": 3.8835041522979736,
|
| 189 |
+
"eval_perplexity": 48.59419854591979,
|
| 190 |
+
"eval_runtime": 19.5147,
|
| 191 |
+
"eval_samples_per_second": 58.469,
|
| 192 |
+
"eval_steps_per_second": 0.922,
|
| 193 |
+
"step": 2000
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 1.1784511784511784,
|
| 197 |
+
"grad_norm": 0.8484457731246948,
|
| 198 |
+
"learning_rate": 8.492330714552937e-05,
|
| 199 |
+
"loss": 3.9031,
|
| 200 |
+
"step": 2100
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.2345679012345678,
|
| 204 |
+
"grad_norm": 0.8243273496627808,
|
| 205 |
+
"learning_rate": 8.367626886145406e-05,
|
| 206 |
+
"loss": 3.856,
|
| 207 |
+
"step": 2200
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 1.2906846240179575,
|
| 211 |
+
"grad_norm": 0.7708187103271484,
|
| 212 |
+
"learning_rate": 8.242923057737873e-05,
|
| 213 |
+
"loss": 3.8365,
|
| 214 |
+
"step": 2300
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.3468013468013469,
|
| 218 |
+
"grad_norm": 0.8010033369064331,
|
| 219 |
+
"learning_rate": 8.11821922933034e-05,
|
| 220 |
+
"loss": 3.7951,
|
| 221 |
+
"step": 2400
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.4029180695847363,
|
| 225 |
+
"grad_norm": 0.7792832851409912,
|
| 226 |
+
"learning_rate": 7.993515400922809e-05,
|
| 227 |
+
"loss": 3.7568,
|
| 228 |
+
"step": 2500
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 1.4029180695847363,
|
| 232 |
+
"eval_accuracy": 0.36843313688752044,
|
| 233 |
+
"eval_bleu": 0.12256078544379752,
|
| 234 |
+
"eval_loss": 3.7051432132720947,
|
| 235 |
+
"eval_perplexity": 40.655869360052804,
|
| 236 |
+
"eval_runtime": 19.518,
|
| 237 |
+
"eval_samples_per_second": 58.459,
|
| 238 |
+
"eval_steps_per_second": 0.922,
|
| 239 |
+
"step": 2500
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 1.4590347923681257,
|
| 243 |
+
"grad_norm": 0.7673516273498535,
|
| 244 |
+
"learning_rate": 7.868811572515277e-05,
|
| 245 |
+
"loss": 3.7381,
|
| 246 |
+
"step": 2600
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 1.5151515151515151,
|
| 250 |
+
"grad_norm": 0.756196916103363,
|
| 251 |
+
"learning_rate": 7.744107744107744e-05,
|
| 252 |
+
"loss": 3.7082,
|
| 253 |
+
"step": 2700
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 1.5712682379349046,
|
| 257 |
+
"grad_norm": 0.770793080329895,
|
| 258 |
+
"learning_rate": 7.619403915700213e-05,
|
| 259 |
+
"loss": 3.6751,
|
| 260 |
+
"step": 2800
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 1.627384960718294,
|
| 264 |
+
"grad_norm": 0.7664377689361572,
|
| 265 |
+
"learning_rate": 7.49470008729268e-05,
|
| 266 |
+
"loss": 3.6617,
|
| 267 |
+
"step": 2900
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 1.6835016835016834,
|
| 271 |
+
"grad_norm": 0.8182048201560974,
|
| 272 |
+
"learning_rate": 7.369996258885148e-05,
|
| 273 |
+
"loss": 3.6478,
|
| 274 |
+
"step": 3000
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 1.6835016835016834,
|
| 278 |
+
"eval_accuracy": 0.37868464407154295,
|
| 279 |
+
"eval_bleu": 0.13106863900596108,
|
| 280 |
+
"eval_loss": 3.5827126502990723,
|
| 281 |
+
"eval_perplexity": 35.970985325012926,
|
| 282 |
+
"eval_runtime": 19.6802,
|
| 283 |
+
"eval_samples_per_second": 57.977,
|
| 284 |
+
"eval_steps_per_second": 0.915,
|
| 285 |
+
"step": 3000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 1.7396184062850728,
|
| 289 |
+
"grad_norm": 0.7201360464096069,
|
| 290 |
+
"learning_rate": 7.245292430477615e-05,
|
| 291 |
+
"loss": 3.6137,
|
| 292 |
+
"step": 3100
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 1.7957351290684624,
|
| 296 |
+
"grad_norm": 0.7597838640213013,
|
| 297 |
+
"learning_rate": 7.120588602070084e-05,
|
| 298 |
+
"loss": 3.5978,
|
| 299 |
+
"step": 3200
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 1.8518518518518519,
|
| 303 |
+
"grad_norm": 0.7621691226959229,
|
| 304 |
+
"learning_rate": 6.995884773662552e-05,
|
| 305 |
+
"loss": 3.5693,
|
| 306 |
+
"step": 3300
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 1.9079685746352413,
|
| 310 |
+
"grad_norm": 0.8080981373786926,
|
| 311 |
+
"learning_rate": 6.871180945255021e-05,
|
| 312 |
+
"loss": 3.562,
|
| 313 |
+
"step": 3400
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 1.964085297418631,
|
| 317 |
+
"grad_norm": 0.7340370416641235,
|
| 318 |
+
"learning_rate": 6.746477116847487e-05,
|
| 319 |
+
"loss": 3.5435,
|
| 320 |
+
"step": 3500
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.964085297418631,
|
| 324 |
+
"eval_accuracy": 0.38766734947221787,
|
| 325 |
+
"eval_bleu": 0.13431823382301575,
|
| 326 |
+
"eval_loss": 3.4940176010131836,
|
| 327 |
+
"eval_perplexity": 32.917933518588185,
|
| 328 |
+
"eval_runtime": 19.6051,
|
| 329 |
+
"eval_samples_per_second": 58.199,
|
| 330 |
+
"eval_steps_per_second": 0.918,
|
| 331 |
+
"step": 3500
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 2.0202020202020203,
|
| 335 |
+
"grad_norm": 0.7243474721908569,
|
| 336 |
+
"learning_rate": 6.621773288439955e-05,
|
| 337 |
+
"loss": 3.5078,
|
| 338 |
+
"step": 3600
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.0763187429854097,
|
| 342 |
+
"grad_norm": 0.8073205947875977,
|
| 343 |
+
"learning_rate": 6.497069460032424e-05,
|
| 344 |
+
"loss": 3.4528,
|
| 345 |
+
"step": 3700
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 2.132435465768799,
|
| 349 |
+
"grad_norm": 0.7458230257034302,
|
| 350 |
+
"learning_rate": 6.372365631624892e-05,
|
| 351 |
+
"loss": 3.4305,
|
| 352 |
+
"step": 3800
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 2.1885521885521886,
|
| 356 |
+
"grad_norm": 0.7389336228370667,
|
| 357 |
+
"learning_rate": 6.247661803217359e-05,
|
| 358 |
+
"loss": 3.4306,
|
| 359 |
+
"step": 3900
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.244668911335578,
|
| 363 |
+
"grad_norm": 0.7879050374031067,
|
| 364 |
+
"learning_rate": 6.122957974809826e-05,
|
| 365 |
+
"loss": 3.4222,
|
| 366 |
+
"step": 4000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.244668911335578,
|
| 370 |
+
"eval_accuracy": 0.3935907090468737,
|
| 371 |
+
"eval_bleu": 0.1343346102743112,
|
| 372 |
+
"eval_loss": 3.4292232990264893,
|
| 373 |
+
"eval_perplexity": 30.85267014217357,
|
| 374 |
+
"eval_runtime": 19.5561,
|
| 375 |
+
"eval_samples_per_second": 58.345,
|
| 376 |
+
"eval_steps_per_second": 0.92,
|
| 377 |
+
"step": 4000
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 2.3007856341189674,
|
| 381 |
+
"grad_norm": 0.7585355043411255,
|
| 382 |
+
"learning_rate": 5.998254146402295e-05,
|
| 383 |
+
"loss": 3.4101,
|
| 384 |
+
"step": 4100
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 2.356902356902357,
|
| 388 |
+
"grad_norm": 0.7705636620521545,
|
| 389 |
+
"learning_rate": 5.8735503179947625e-05,
|
| 390 |
+
"loss": 3.3892,
|
| 391 |
+
"step": 4200
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 2.4130190796857462,
|
| 395 |
+
"grad_norm": 0.7811786532402039,
|
| 396 |
+
"learning_rate": 5.748846489587231e-05,
|
| 397 |
+
"loss": 3.3858,
|
| 398 |
+
"step": 4300
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 2.4691358024691357,
|
| 402 |
+
"grad_norm": 0.7358310222625732,
|
| 403 |
+
"learning_rate": 5.624142661179699e-05,
|
| 404 |
+
"loss": 3.3697,
|
| 405 |
+
"step": 4400
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 2.525252525252525,
|
| 409 |
+
"grad_norm": 0.741968035697937,
|
| 410 |
+
"learning_rate": 5.4994388327721666e-05,
|
| 411 |
+
"loss": 3.3604,
|
| 412 |
+
"step": 4500
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 2.525252525252525,
|
| 416 |
+
"eval_accuracy": 0.399036875783363,
|
| 417 |
+
"eval_bleu": 0.14137470451886344,
|
| 418 |
+
"eval_loss": 3.372802972793579,
|
| 419 |
+
"eval_perplexity": 29.160147714819164,
|
| 420 |
+
"eval_runtime": 12.9108,
|
| 421 |
+
"eval_samples_per_second": 88.376,
|
| 422 |
+
"eval_steps_per_second": 1.394,
|
| 423 |
+
"step": 4500
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 2.581369248035915,
|
| 427 |
+
"grad_norm": 0.7442606091499329,
|
| 428 |
+
"learning_rate": 5.374735004364634e-05,
|
| 429 |
+
"loss": 3.3644,
|
| 430 |
+
"step": 4600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 2.637485970819304,
|
| 434 |
+
"grad_norm": 0.7207857966423035,
|
| 435 |
+
"learning_rate": 5.250031175957102e-05,
|
| 436 |
+
"loss": 3.3499,
|
| 437 |
+
"step": 4700
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 2.6936026936026938,
|
| 441 |
+
"grad_norm": 0.7526234984397888,
|
| 442 |
+
"learning_rate": 5.12532734754957e-05,
|
| 443 |
+
"loss": 3.3445,
|
| 444 |
+
"step": 4800
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 2.749719416386083,
|
| 448 |
+
"grad_norm": 0.7211634516716003,
|
| 449 |
+
"learning_rate": 5.000623519142038e-05,
|
| 450 |
+
"loss": 3.3345,
|
| 451 |
+
"step": 4900
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 2.8058361391694726,
|
| 455 |
+
"grad_norm": 0.7400387525558472,
|
| 456 |
+
"learning_rate": 4.8759196907345056e-05,
|
| 457 |
+
"loss": 3.3288,
|
| 458 |
+
"step": 5000
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 2.8058361391694726,
|
| 462 |
+
"eval_accuracy": 0.40383279231488217,
|
| 463 |
+
"eval_bleu": 0.1380917557723357,
|
| 464 |
+
"eval_loss": 3.3268959522247314,
|
| 465 |
+
"eval_perplexity": 27.851754211207222,
|
| 466 |
+
"eval_runtime": 19.4973,
|
| 467 |
+
"eval_samples_per_second": 58.521,
|
| 468 |
+
"eval_steps_per_second": 0.923,
|
| 469 |
+
"step": 5000
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 2.861952861952862,
|
| 473 |
+
"grad_norm": 0.7265079021453857,
|
| 474 |
+
"learning_rate": 4.751215862326974e-05,
|
| 475 |
+
"loss": 3.3264,
|
| 476 |
+
"step": 5100
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.9180695847362514,
|
| 480 |
+
"grad_norm": 0.7342014908790588,
|
| 481 |
+
"learning_rate": 4.626512033919442e-05,
|
| 482 |
+
"loss": 3.3048,
|
| 483 |
+
"step": 5200
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 2.974186307519641,
|
| 487 |
+
"grad_norm": 0.7183738350868225,
|
| 488 |
+
"learning_rate": 4.5018082055119096e-05,
|
| 489 |
+
"loss": 3.3088,
|
| 490 |
+
"step": 5300
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 3.0303030303030303,
|
| 494 |
+
"grad_norm": 0.7631810307502747,
|
| 495 |
+
"learning_rate": 4.3771043771043774e-05,
|
| 496 |
+
"loss": 3.256,
|
| 497 |
+
"step": 5400
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 3.0864197530864197,
|
| 501 |
+
"grad_norm": 0.7537241578102112,
|
| 502 |
+
"learning_rate": 4.252400548696845e-05,
|
| 503 |
+
"loss": 3.2074,
|
| 504 |
+
"step": 5500
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 3.0864197530864197,
|
| 508 |
+
"eval_accuracy": 0.4078876463598411,
|
| 509 |
+
"eval_bleu": 0.14234868172058146,
|
| 510 |
+
"eval_loss": 3.2887463569641113,
|
| 511 |
+
"eval_perplexity": 26.80923337140352,
|
| 512 |
+
"eval_runtime": 19.5139,
|
| 513 |
+
"eval_samples_per_second": 58.471,
|
| 514 |
+
"eval_steps_per_second": 0.922,
|
| 515 |
+
"step": 5500
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 3.142536475869809,
|
| 519 |
+
"grad_norm": 0.7671452164649963,
|
| 520 |
+
"learning_rate": 4.127696720289313e-05,
|
| 521 |
+
"loss": 3.2138,
|
| 522 |
+
"step": 5600
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 3.1986531986531985,
|
| 526 |
+
"grad_norm": 0.7754735350608826,
|
| 527 |
+
"learning_rate": 4.002992891881781e-05,
|
| 528 |
+
"loss": 3.2101,
|
| 529 |
+
"step": 5700
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 3.254769921436588,
|
| 533 |
+
"grad_norm": 0.7768378257751465,
|
| 534 |
+
"learning_rate": 3.8782890634742486e-05,
|
| 535 |
+
"loss": 3.2069,
|
| 536 |
+
"step": 5800
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 3.3108866442199774,
|
| 540 |
+
"grad_norm": 0.7553181052207947,
|
| 541 |
+
"learning_rate": 3.7535852350667164e-05,
|
| 542 |
+
"loss": 3.2078,
|
| 543 |
+
"step": 5900
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 3.3670033670033668,
|
| 547 |
+
"grad_norm": 0.769962728023529,
|
| 548 |
+
"learning_rate": 3.628881406659185e-05,
|
| 549 |
+
"loss": 3.2007,
|
| 550 |
+
"step": 6000
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 3.3670033670033668,
|
| 554 |
+
"eval_accuracy": 0.41151499730561675,
|
| 555 |
+
"eval_bleu": 0.14635308836715238,
|
| 556 |
+
"eval_loss": 3.2605247497558594,
|
| 557 |
+
"eval_perplexity": 26.063210217931864,
|
| 558 |
+
"eval_runtime": 19.4869,
|
| 559 |
+
"eval_samples_per_second": 58.552,
|
| 560 |
+
"eval_steps_per_second": 0.924,
|
| 561 |
+
"step": 6000
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 3.4231200897867566,
|
| 565 |
+
"grad_norm": 0.7611728310585022,
|
| 566 |
+
"learning_rate": 3.504177578251652e-05,
|
| 567 |
+
"loss": 3.1805,
|
| 568 |
+
"step": 6100
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 3.479236812570146,
|
| 572 |
+
"grad_norm": 0.7554565668106079,
|
| 573 |
+
"learning_rate": 3.3794737498441205e-05,
|
| 574 |
+
"loss": 3.1914,
|
| 575 |
+
"step": 6200
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 3.5353535353535355,
|
| 579 |
+
"grad_norm": 0.7835715413093567,
|
| 580 |
+
"learning_rate": 3.254769921436588e-05,
|
| 581 |
+
"loss": 3.1813,
|
| 582 |
+
"step": 6300
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 3.591470258136925,
|
| 586 |
+
"grad_norm": 0.7560538649559021,
|
| 587 |
+
"learning_rate": 3.130066093029056e-05,
|
| 588 |
+
"loss": 3.1827,
|
| 589 |
+
"step": 6400
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 3.6475869809203143,
|
| 593 |
+
"grad_norm": 0.7631095051765442,
|
| 594 |
+
"learning_rate": 3.0053622646215242e-05,
|
| 595 |
+
"loss": 3.1787,
|
| 596 |
+
"step": 6500
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 3.6475869809203143,
|
| 600 |
+
"eval_accuracy": 0.41400376785296633,
|
| 601 |
+
"eval_bleu": 0.14275509438266887,
|
| 602 |
+
"eval_loss": 3.23276686668396,
|
| 603 |
+
"eval_perplexity": 25.349699265779424,
|
| 604 |
+
"eval_runtime": 19.5684,
|
| 605 |
+
"eval_samples_per_second": 58.308,
|
| 606 |
+
"eval_steps_per_second": 0.92,
|
| 607 |
+
"step": 6500
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 3.7037037037037037,
|
| 611 |
+
"grad_norm": 0.7613770365715027,
|
| 612 |
+
"learning_rate": 2.880658436213992e-05,
|
| 613 |
+
"loss": 3.171,
|
| 614 |
+
"step": 6600
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 3.759820426487093,
|
| 618 |
+
"grad_norm": 0.7514590620994568,
|
| 619 |
+
"learning_rate": 2.7559546078064598e-05,
|
| 620 |
+
"loss": 3.1616,
|
| 621 |
+
"step": 6700
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 3.8159371492704826,
|
| 625 |
+
"grad_norm": 0.7718783020973206,
|
| 626 |
+
"learning_rate": 2.6312507793989276e-05,
|
| 627 |
+
"loss": 3.1519,
|
| 628 |
+
"step": 6800
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"epoch": 3.872053872053872,
|
| 632 |
+
"grad_norm": 0.7550140023231506,
|
| 633 |
+
"learning_rate": 2.5065469509913957e-05,
|
| 634 |
+
"loss": 3.1439,
|
| 635 |
+
"step": 6900
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 3.9281705948372614,
|
| 639 |
+
"grad_norm": 0.7449607253074646,
|
| 640 |
+
"learning_rate": 2.3818431225838632e-05,
|
| 641 |
+
"loss": 3.1529,
|
| 642 |
+
"step": 7000
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 3.9281705948372614,
|
| 646 |
+
"eval_accuracy": 0.4165602192516897,
|
| 647 |
+
"eval_bleu": 0.14252386333027117,
|
| 648 |
+
"eval_loss": 3.208519220352173,
|
| 649 |
+
"eval_perplexity": 24.742421011265083,
|
| 650 |
+
"eval_runtime": 19.5498,
|
| 651 |
+
"eval_samples_per_second": 58.364,
|
| 652 |
+
"eval_steps_per_second": 0.921,
|
| 653 |
+
"step": 7000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 3.984287317620651,
|
| 657 |
+
"grad_norm": 0.7556090950965881,
|
| 658 |
+
"learning_rate": 2.2571392941763313e-05,
|
| 659 |
+
"loss": 3.1493,
|
| 660 |
+
"step": 7100
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 4.040404040404041,
|
| 664 |
+
"grad_norm": 0.7740824222564697,
|
| 665 |
+
"learning_rate": 2.132435465768799e-05,
|
| 666 |
+
"loss": 3.0831,
|
| 667 |
+
"step": 7200
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 4.09652076318743,
|
| 671 |
+
"grad_norm": 0.7735643982887268,
|
| 672 |
+
"learning_rate": 2.007731637361267e-05,
|
| 673 |
+
"loss": 3.0788,
|
| 674 |
+
"step": 7300
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 4.1526374859708195,
|
| 678 |
+
"grad_norm": 0.8017794489860535,
|
| 679 |
+
"learning_rate": 1.883027808953735e-05,
|
| 680 |
+
"loss": 3.0808,
|
| 681 |
+
"step": 7400
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 4.2087542087542085,
|
| 685 |
+
"grad_norm": 0.7887123227119446,
|
| 686 |
+
"learning_rate": 1.758323980546203e-05,
|
| 687 |
+
"loss": 3.0849,
|
| 688 |
+
"step": 7500
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 4.2087542087542085,
|
| 692 |
+
"eval_accuracy": 0.4184484293330523,
|
| 693 |
+
"eval_bleu": 0.14302496814022836,
|
| 694 |
+
"eval_loss": 3.1920533180236816,
|
| 695 |
+
"eval_perplexity": 24.33835054539309,
|
| 696 |
+
"eval_runtime": 19.5741,
|
| 697 |
+
"eval_samples_per_second": 58.291,
|
| 698 |
+
"eval_steps_per_second": 0.92,
|
| 699 |
+
"step": 7500
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 4.264870931537598,
|
| 703 |
+
"grad_norm": 0.7835370898246765,
|
| 704 |
+
"learning_rate": 1.6336201521386706e-05,
|
| 705 |
+
"loss": 3.0707,
|
| 706 |
+
"step": 7600
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 4.320987654320987,
|
| 710 |
+
"grad_norm": 0.7777314782142639,
|
| 711 |
+
"learning_rate": 1.5089163237311384e-05,
|
| 712 |
+
"loss": 3.058,
|
| 713 |
+
"step": 7700
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 4.377104377104377,
|
| 717 |
+
"grad_norm": 0.7813054919242859,
|
| 718 |
+
"learning_rate": 1.3842124953236066e-05,
|
| 719 |
+
"loss": 3.0678,
|
| 720 |
+
"step": 7800
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 4.433221099887767,
|
| 724 |
+
"grad_norm": 0.7960292100906372,
|
| 725 |
+
"learning_rate": 1.2595086669160744e-05,
|
| 726 |
+
"loss": 3.0659,
|
| 727 |
+
"step": 7900
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 4.489337822671156,
|
| 731 |
+
"grad_norm": 0.7847529053688049,
|
| 732 |
+
"learning_rate": 1.1348048385085423e-05,
|
| 733 |
+
"loss": 3.0471,
|
| 734 |
+
"step": 8000
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 4.489337822671156,
|
| 738 |
+
"eval_accuracy": 0.42023297633826034,
|
| 739 |
+
"eval_bleu": 0.14281001374264807,
|
| 740 |
+
"eval_loss": 3.1795759201049805,
|
| 741 |
+
"eval_perplexity": 24.036557969366196,
|
| 742 |
+
"eval_runtime": 19.3711,
|
| 743 |
+
"eval_samples_per_second": 58.902,
|
| 744 |
+
"eval_steps_per_second": 0.929,
|
| 745 |
+
"step": 8000
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 4.545454545454545,
|
| 749 |
+
"grad_norm": 0.8106744885444641,
|
| 750 |
+
"learning_rate": 1.0101010101010101e-05,
|
| 751 |
+
"loss": 3.0626,
|
| 752 |
+
"step": 8100
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 4.601571268237935,
|
| 756 |
+
"grad_norm": 0.7878694534301758,
|
| 757 |
+
"learning_rate": 8.853971816934781e-06,
|
| 758 |
+
"loss": 3.0555,
|
| 759 |
+
"step": 8200
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 4.657687991021325,
|
| 763 |
+
"grad_norm": 0.7682947516441345,
|
| 764 |
+
"learning_rate": 7.606933532859459e-06,
|
| 765 |
+
"loss": 3.0621,
|
| 766 |
+
"step": 8300
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 4.713804713804714,
|
| 770 |
+
"grad_norm": 0.7908104062080383,
|
| 771 |
+
"learning_rate": 6.359895248784138e-06,
|
| 772 |
+
"loss": 3.0546,
|
| 773 |
+
"step": 8400
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 4.7699214365881035,
|
| 777 |
+
"grad_norm": 0.7882031798362732,
|
| 778 |
+
"learning_rate": 5.112856964708817e-06,
|
| 779 |
+
"loss": 3.0569,
|
| 780 |
+
"step": 8500
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 4.7699214365881035,
|
| 784 |
+
"eval_accuracy": 0.42171338787210544,
|
| 785 |
+
"eval_bleu": 0.14601329221778306,
|
| 786 |
+
"eval_loss": 3.1670639514923096,
|
| 787 |
+
"eval_perplexity": 23.737686941949445,
|
| 788 |
+
"eval_runtime": 19.6936,
|
| 789 |
+
"eval_samples_per_second": 57.938,
|
| 790 |
+
"eval_steps_per_second": 0.914,
|
| 791 |
+
"step": 8500
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 4.8260381593714925,
|
| 795 |
+
"grad_norm": 0.7835642099380493,
|
| 796 |
+
"learning_rate": 3.865818680633495e-06,
|
| 797 |
+
"loss": 3.0473,
|
| 798 |
+
"step": 8600
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 4.882154882154882,
|
| 802 |
+
"grad_norm": 0.783760130405426,
|
| 803 |
+
"learning_rate": 2.6187803965581742e-06,
|
| 804 |
+
"loss": 3.0579,
|
| 805 |
+
"step": 8700
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 4.938271604938271,
|
| 809 |
+
"grad_norm": 0.773915708065033,
|
| 810 |
+
"learning_rate": 1.3717421124828533e-06,
|
| 811 |
+
"loss": 3.0542,
|
| 812 |
+
"step": 8800
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 4.994388327721661,
|
| 816 |
+
"grad_norm": 0.7747133374214172,
|
| 817 |
+
"learning_rate": 1.2470382840753213e-07,
|
| 818 |
+
"loss": 3.0443,
|
| 819 |
+
"step": 8900
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 5.0,
|
| 823 |
+
"step": 8910,
|
| 824 |
+
"total_flos": 1.0586630697202483e+18,
|
| 825 |
+
"train_loss": 3.7611954097127005,
|
| 826 |
+
"train_runtime": 27476.9125,
|
| 827 |
+
"train_samples_per_second": 20.744,
|
| 828 |
+
"train_steps_per_second": 0.324
|
| 829 |
+
}
|
| 830 |
+
],
|
| 831 |
+
"logging_steps": 100,
|
| 832 |
+
"max_steps": 8910,
|
| 833 |
+
"num_input_tokens_seen": 0,
|
| 834 |
+
"num_train_epochs": 5,
|
| 835 |
+
"save_steps": 500,
|
| 836 |
+
"stateful_callbacks": {
|
| 837 |
+
"EarlyStoppingCallback": {
|
| 838 |
+
"args": {
|
| 839 |
+
"early_stopping_patience": 2,
|
| 840 |
+
"early_stopping_threshold": 0.0
|
| 841 |
+
},
|
| 842 |
+
"attributes": {
|
| 843 |
+
"early_stopping_patience_counter": 0
|
| 844 |
+
}
|
| 845 |
+
},
|
| 846 |
+
"TrainerControl": {
|
| 847 |
+
"args": {
|
| 848 |
+
"should_epoch_stop": false,
|
| 849 |
+
"should_evaluate": false,
|
| 850 |
+
"should_log": false,
|
| 851 |
+
"should_save": true,
|
| 852 |
+
"should_training_stop": true
|
| 853 |
+
},
|
| 854 |
+
"attributes": {}
|
| 855 |
+
}
|
| 856 |
+
},
|
| 857 |
+
"total_flos": 1.0586630697202483e+18,
|
| 858 |
+
"train_batch_size": 64,
|
| 859 |
+
"trial_name": null,
|
| 860 |
+
"trial_params": null
|
| 861 |
+
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5496
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a3b7cdc84b82534b3c4d219df5ece12c084a5c322968dfb38df6dd25f215098
|
| 3 |
size 5496
|