Commit
·
50d4467
1
Parent(s):
076c454
Add evaluation results and output files to model card
Browse files- checkpoint-432/config.json +23 -0
- checkpoint-432/model.safetensors +3 -0
- checkpoint-432/optimizer.pt +3 -0
- checkpoint-432/preprocessor_config.json +22 -0
- checkpoint-432/rng_state.pth +3 -0
- checkpoint-432/scheduler.pt +3 -0
- checkpoint-432/trainer_state.json +3633 -0
- checkpoint-432/training_args.bin +3 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
checkpoint-432/config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "GenetikaPlus/binary_classification_model_v3.1.3_spines",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 256,
|
11 |
+
"image_size": 32,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 512,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"model_type": "vit",
|
16 |
+
"num_attention_heads": 8,
|
17 |
+
"num_channels": 3,
|
18 |
+
"num_hidden_layers": 4,
|
19 |
+
"patch_size": 4,
|
20 |
+
"qkv_bias": true,
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.46.2"
|
23 |
+
}
|
checkpoint-432/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:644d5a596e90f66fd3182460217969f710bd1c381d54989fe396eebc0b89317a
|
3 |
+
size 8563512
|
checkpoint-432/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7edc1d89b07e4cbb1ceb7ace817fbc50db69f700522cbfcf55a0f84bcc2661fe
|
3 |
+
size 17171514
|
checkpoint-432/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": false,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTFeatureExtractor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 32,
|
20 |
+
"width": 32
|
21 |
+
}
|
22 |
+
}
|
checkpoint-432/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:648dcfb444ad7fb98902cb925e20a9c5a134b22adbcacacee667b1a501d4033e
|
3 |
+
size 14244
|
checkpoint-432/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bb858fbb0baebe5a9c0da911e2ec407ba692026ef0af136cace00a95b5381bd3
|
3 |
+
size 1000
|
checkpoint-432/trainer_state.json
ADDED
@@ -0,0 +1,3633 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.806949806949807,
|
3 |
+
"best_model_checkpoint": "/tmp/logs/binary_classification_model_v3.1.5_spines/checkpoint-432",
|
4 |
+
"epoch": 48.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 432,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.1111111111111111,
|
13 |
+
"grad_norm": 482914.5625,
|
14 |
+
"learning_rate": 1.148369315571888e-09,
|
15 |
+
"loss": 0.4045,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.2222222222222222,
|
20 |
+
"grad_norm": 435595.6875,
|
21 |
+
"learning_rate": 2.296738631143776e-09,
|
22 |
+
"loss": 0.4188,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.3333333333333333,
|
27 |
+
"grad_norm": 351966.96875,
|
28 |
+
"learning_rate": 3.4451079467156637e-09,
|
29 |
+
"loss": 0.4189,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.4444444444444444,
|
34 |
+
"grad_norm": 439417.3125,
|
35 |
+
"learning_rate": 4.593477262287552e-09,
|
36 |
+
"loss": 0.3916,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.5555555555555556,
|
41 |
+
"grad_norm": 207262.421875,
|
42 |
+
"learning_rate": 5.74184657785944e-09,
|
43 |
+
"loss": 0.3841,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.6666666666666666,
|
48 |
+
"grad_norm": 313504.625,
|
49 |
+
"learning_rate": 6.8902158934313275e-09,
|
50 |
+
"loss": 0.392,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.7777777777777778,
|
55 |
+
"grad_norm": 291762.28125,
|
56 |
+
"learning_rate": 8.038585209003216e-09,
|
57 |
+
"loss": 0.3982,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.8888888888888888,
|
62 |
+
"grad_norm": 359227.53125,
|
63 |
+
"learning_rate": 9.186954524575104e-09,
|
64 |
+
"loss": 0.4042,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.0,
|
69 |
+
"grad_norm": 620293.5625,
|
70 |
+
"learning_rate": 1.0335323840146991e-08,
|
71 |
+
"loss": 0.4047,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.0,
|
76 |
+
"eval_accuracy": 0.8070739549839229,
|
77 |
+
"eval_f1": 0.7889447236180904,
|
78 |
+
"eval_loss": 0.40964627265930176,
|
79 |
+
"eval_precision": 0.8258811152025249,
|
80 |
+
"eval_recall": 0.7551707551707552,
|
81 |
+
"eval_runtime": 3.8706,
|
82 |
+
"eval_samples_per_second": 1124.894,
|
83 |
+
"eval_steps_per_second": 0.775,
|
84 |
+
"step": 9
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 1.1111111111111112,
|
88 |
+
"grad_norm": 584924.0,
|
89 |
+
"learning_rate": 1.148369315571888e-08,
|
90 |
+
"loss": 0.4252,
|
91 |
+
"step": 10
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 1.2222222222222223,
|
95 |
+
"grad_norm": 242005.0,
|
96 |
+
"learning_rate": 1.2632062471290768e-08,
|
97 |
+
"loss": 0.3976,
|
98 |
+
"step": 11
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.3333333333333333,
|
102 |
+
"grad_norm": 403620.0625,
|
103 |
+
"learning_rate": 1.3780431786862655e-08,
|
104 |
+
"loss": 0.4065,
|
105 |
+
"step": 12
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.4444444444444444,
|
109 |
+
"grad_norm": 337349.9375,
|
110 |
+
"learning_rate": 1.4928801102434543e-08,
|
111 |
+
"loss": 0.3853,
|
112 |
+
"step": 13
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 1.5555555555555556,
|
116 |
+
"grad_norm": 381869.15625,
|
117 |
+
"learning_rate": 1.6077170418006432e-08,
|
118 |
+
"loss": 0.3902,
|
119 |
+
"step": 14
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.6666666666666665,
|
123 |
+
"grad_norm": 196447.03125,
|
124 |
+
"learning_rate": 1.722553973357832e-08,
|
125 |
+
"loss": 0.4081,
|
126 |
+
"step": 15
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 1.7777777777777777,
|
130 |
+
"grad_norm": 276488.40625,
|
131 |
+
"learning_rate": 1.837390904915021e-08,
|
132 |
+
"loss": 0.4209,
|
133 |
+
"step": 16
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 1.8888888888888888,
|
137 |
+
"grad_norm": 402769.25,
|
138 |
+
"learning_rate": 1.9522278364722097e-08,
|
139 |
+
"loss": 0.4025,
|
140 |
+
"step": 17
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 2.0,
|
144 |
+
"grad_norm": 232493.25,
|
145 |
+
"learning_rate": 2.0670647680293982e-08,
|
146 |
+
"loss": 0.4144,
|
147 |
+
"step": 18
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 2.0,
|
151 |
+
"eval_accuracy": 0.808451998162609,
|
152 |
+
"eval_f1": 0.7910821643286573,
|
153 |
+
"eval_loss": 0.40929052233695984,
|
154 |
+
"eval_precision": 0.825405122843701,
|
155 |
+
"eval_recall": 0.7594997594997595,
|
156 |
+
"eval_runtime": 3.9399,
|
157 |
+
"eval_samples_per_second": 1105.093,
|
158 |
+
"eval_steps_per_second": 0.761,
|
159 |
+
"step": 18
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 2.111111111111111,
|
163 |
+
"grad_norm": 534834.125,
|
164 |
+
"learning_rate": 2.1819016995865874e-08,
|
165 |
+
"loss": 0.4073,
|
166 |
+
"step": 19
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 2.2222222222222223,
|
170 |
+
"grad_norm": 271332.875,
|
171 |
+
"learning_rate": 2.296738631143776e-08,
|
172 |
+
"loss": 0.4121,
|
173 |
+
"step": 20
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 2.3333333333333335,
|
177 |
+
"grad_norm": 489498.5625,
|
178 |
+
"learning_rate": 2.4115755627009648e-08,
|
179 |
+
"loss": 0.4261,
|
180 |
+
"step": 21
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 2.4444444444444446,
|
184 |
+
"grad_norm": 242193.1875,
|
185 |
+
"learning_rate": 2.5264124942581536e-08,
|
186 |
+
"loss": 0.3974,
|
187 |
+
"step": 22
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 2.5555555555555554,
|
191 |
+
"grad_norm": 318717.34375,
|
192 |
+
"learning_rate": 2.6412494258153425e-08,
|
193 |
+
"loss": 0.4082,
|
194 |
+
"step": 23
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.6666666666666665,
|
198 |
+
"grad_norm": 396368.1875,
|
199 |
+
"learning_rate": 2.756086357372531e-08,
|
200 |
+
"loss": 0.3815,
|
201 |
+
"step": 24
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2.7777777777777777,
|
205 |
+
"grad_norm": 247636.09375,
|
206 |
+
"learning_rate": 2.87092328892972e-08,
|
207 |
+
"loss": 0.3953,
|
208 |
+
"step": 25
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 2.888888888888889,
|
212 |
+
"grad_norm": 294976.5,
|
213 |
+
"learning_rate": 2.985760220486909e-08,
|
214 |
+
"loss": 0.4046,
|
215 |
+
"step": 26
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 3.0,
|
219 |
+
"grad_norm": 161600.75,
|
220 |
+
"learning_rate": 3.100597152044098e-08,
|
221 |
+
"loss": 0.3723,
|
222 |
+
"step": 27
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 3.0,
|
226 |
+
"eval_accuracy": 0.8091410197519522,
|
227 |
+
"eval_f1": 0.7928197456993269,
|
228 |
+
"eval_loss": 0.4087640643119812,
|
229 |
+
"eval_precision": 0.8229813664596274,
|
230 |
+
"eval_recall": 0.7647907647907648,
|
231 |
+
"eval_runtime": 3.9741,
|
232 |
+
"eval_samples_per_second": 1095.607,
|
233 |
+
"eval_steps_per_second": 0.755,
|
234 |
+
"step": 27
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 3.111111111111111,
|
238 |
+
"grad_norm": 305851.40625,
|
239 |
+
"learning_rate": 3.2154340836012864e-08,
|
240 |
+
"loss": 0.3942,
|
241 |
+
"step": 28
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 3.2222222222222223,
|
245 |
+
"grad_norm": 380446.75,
|
246 |
+
"learning_rate": 3.330271015158475e-08,
|
247 |
+
"loss": 0.3954,
|
248 |
+
"step": 29
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.3333333333333335,
|
252 |
+
"grad_norm": 160068.890625,
|
253 |
+
"learning_rate": 3.445107946715664e-08,
|
254 |
+
"loss": 0.4057,
|
255 |
+
"step": 30
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 3.4444444444444446,
|
259 |
+
"grad_norm": 351186.96875,
|
260 |
+
"learning_rate": 3.5599448782728526e-08,
|
261 |
+
"loss": 0.4015,
|
262 |
+
"step": 31
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 3.5555555555555554,
|
266 |
+
"grad_norm": 283727.625,
|
267 |
+
"learning_rate": 3.674781809830042e-08,
|
268 |
+
"loss": 0.4116,
|
269 |
+
"step": 32
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3.6666666666666665,
|
273 |
+
"grad_norm": 348961.09375,
|
274 |
+
"learning_rate": 3.78961874138723e-08,
|
275 |
+
"loss": 0.403,
|
276 |
+
"step": 33
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 3.7777777777777777,
|
280 |
+
"grad_norm": 474216.40625,
|
281 |
+
"learning_rate": 3.9044556729444195e-08,
|
282 |
+
"loss": 0.4025,
|
283 |
+
"step": 34
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 3.888888888888889,
|
287 |
+
"grad_norm": 228167.640625,
|
288 |
+
"learning_rate": 4.019292604501608e-08,
|
289 |
+
"loss": 0.4208,
|
290 |
+
"step": 35
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 4.0,
|
294 |
+
"grad_norm": 195539.109375,
|
295 |
+
"learning_rate": 4.1341295360587965e-08,
|
296 |
+
"loss": 0.4127,
|
297 |
+
"step": 36
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 4.0,
|
301 |
+
"eval_accuracy": 0.8089113458888378,
|
302 |
+
"eval_f1": 0.7935483870967742,
|
303 |
+
"eval_loss": 0.4081500768661499,
|
304 |
+
"eval_precision": 0.8195797027165556,
|
305 |
+
"eval_recall": 0.7691197691197691,
|
306 |
+
"eval_runtime": 4.0357,
|
307 |
+
"eval_samples_per_second": 1078.877,
|
308 |
+
"eval_steps_per_second": 0.743,
|
309 |
+
"step": 36
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 4.111111111111111,
|
313 |
+
"grad_norm": 157376.421875,
|
314 |
+
"learning_rate": 4.248966467615985e-08,
|
315 |
+
"loss": 0.4016,
|
316 |
+
"step": 37
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 4.222222222222222,
|
320 |
+
"grad_norm": 114119.765625,
|
321 |
+
"learning_rate": 4.363803399173175e-08,
|
322 |
+
"loss": 0.4224,
|
323 |
+
"step": 38
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 4.333333333333333,
|
327 |
+
"grad_norm": 240913.140625,
|
328 |
+
"learning_rate": 4.4786403307303634e-08,
|
329 |
+
"loss": 0.3962,
|
330 |
+
"step": 39
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 4.444444444444445,
|
334 |
+
"grad_norm": 243501.609375,
|
335 |
+
"learning_rate": 4.593477262287552e-08,
|
336 |
+
"loss": 0.3955,
|
337 |
+
"step": 40
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 4.555555555555555,
|
341 |
+
"grad_norm": 291720.53125,
|
342 |
+
"learning_rate": 4.7083141938447404e-08,
|
343 |
+
"loss": 0.401,
|
344 |
+
"step": 41
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.666666666666667,
|
348 |
+
"grad_norm": 194599.9375,
|
349 |
+
"learning_rate": 4.8231511254019296e-08,
|
350 |
+
"loss": 0.4012,
|
351 |
+
"step": 42
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 4.777777777777778,
|
355 |
+
"grad_norm": 337977.96875,
|
356 |
+
"learning_rate": 4.937988056959119e-08,
|
357 |
+
"loss": 0.4027,
|
358 |
+
"step": 43
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 4.888888888888889,
|
362 |
+
"grad_norm": 159864.734375,
|
363 |
+
"learning_rate": 5.052824988516307e-08,
|
364 |
+
"loss": 0.3815,
|
365 |
+
"step": 44
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 5.0,
|
369 |
+
"grad_norm": 276918.53125,
|
370 |
+
"learning_rate": 5.167661920073496e-08,
|
371 |
+
"loss": 0.4277,
|
372 |
+
"step": 45
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 5.0,
|
376 |
+
"eval_accuracy": 0.8109784106568673,
|
377 |
+
"eval_f1": 0.7970406905055487,
|
378 |
+
"eval_loss": 0.4075668752193451,
|
379 |
+
"eval_precision": 0.8178137651821862,
|
380 |
+
"eval_recall": 0.7772967772967773,
|
381 |
+
"eval_runtime": 4.127,
|
382 |
+
"eval_samples_per_second": 1055.009,
|
383 |
+
"eval_steps_per_second": 0.727,
|
384 |
+
"step": 45
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 5.111111111111111,
|
388 |
+
"grad_norm": 173940.5625,
|
389 |
+
"learning_rate": 5.282498851630685e-08,
|
390 |
+
"loss": 0.4088,
|
391 |
+
"step": 46
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 5.222222222222222,
|
395 |
+
"grad_norm": 146474.640625,
|
396 |
+
"learning_rate": 5.3973357831878735e-08,
|
397 |
+
"loss": 0.3768,
|
398 |
+
"step": 47
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.333333333333333,
|
402 |
+
"grad_norm": 108079.078125,
|
403 |
+
"learning_rate": 5.512172714745062e-08,
|
404 |
+
"loss": 0.3926,
|
405 |
+
"step": 48
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 5.444444444444445,
|
409 |
+
"grad_norm": 336127.96875,
|
410 |
+
"learning_rate": 5.6270096463022505e-08,
|
411 |
+
"loss": 0.4333,
|
412 |
+
"step": 49
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 5.555555555555555,
|
416 |
+
"grad_norm": 110071.4296875,
|
417 |
+
"learning_rate": 5.74184657785944e-08,
|
418 |
+
"loss": 0.3931,
|
419 |
+
"step": 50
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 5.666666666666667,
|
423 |
+
"grad_norm": 160531.78125,
|
424 |
+
"learning_rate": 5.856683509416628e-08,
|
425 |
+
"loss": 0.4092,
|
426 |
+
"step": 51
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 5.777777777777778,
|
430 |
+
"grad_norm": 329436.15625,
|
431 |
+
"learning_rate": 5.971520440973817e-08,
|
432 |
+
"loss": 0.4036,
|
433 |
+
"step": 52
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 5.888888888888889,
|
437 |
+
"grad_norm": 138796.90625,
|
438 |
+
"learning_rate": 6.086357372531007e-08,
|
439 |
+
"loss": 0.4063,
|
440 |
+
"step": 53
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 6.0,
|
444 |
+
"grad_norm": 289409.84375,
|
445 |
+
"learning_rate": 6.201194304088196e-08,
|
446 |
+
"loss": 0.3986,
|
447 |
+
"step": 54
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 6.0,
|
451 |
+
"eval_accuracy": 0.8116674322462104,
|
452 |
+
"eval_f1": 0.7988223748773308,
|
453 |
+
"eval_loss": 0.4071072041988373,
|
454 |
+
"eval_precision": 0.8152228342513771,
|
455 |
+
"eval_recall": 0.783068783068783,
|
456 |
+
"eval_runtime": 4.1104,
|
457 |
+
"eval_samples_per_second": 1059.253,
|
458 |
+
"eval_steps_per_second": 0.73,
|
459 |
+
"step": 54
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 6.111111111111111,
|
463 |
+
"grad_norm": 177895.421875,
|
464 |
+
"learning_rate": 6.316031235645384e-08,
|
465 |
+
"loss": 0.4005,
|
466 |
+
"step": 55
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 6.222222222222222,
|
470 |
+
"grad_norm": 221305.015625,
|
471 |
+
"learning_rate": 6.430868167202573e-08,
|
472 |
+
"loss": 0.4065,
|
473 |
+
"step": 56
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 6.333333333333333,
|
477 |
+
"grad_norm": 85639.6171875,
|
478 |
+
"learning_rate": 6.545705098759761e-08,
|
479 |
+
"loss": 0.3974,
|
480 |
+
"step": 57
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 6.444444444444445,
|
484 |
+
"grad_norm": 231708.6875,
|
485 |
+
"learning_rate": 6.66054203031695e-08,
|
486 |
+
"loss": 0.3898,
|
487 |
+
"step": 58
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 6.555555555555555,
|
491 |
+
"grad_norm": 149632.109375,
|
492 |
+
"learning_rate": 6.775378961874138e-08,
|
493 |
+
"loss": 0.4166,
|
494 |
+
"step": 59
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 6.666666666666667,
|
498 |
+
"grad_norm": 117517.3515625,
|
499 |
+
"learning_rate": 6.890215893431328e-08,
|
500 |
+
"loss": 0.3889,
|
501 |
+
"step": 60
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 6.777777777777778,
|
505 |
+
"grad_norm": 138410.859375,
|
506 |
+
"learning_rate": 7.005052824988517e-08,
|
507 |
+
"loss": 0.4241,
|
508 |
+
"step": 61
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 6.888888888888889,
|
512 |
+
"grad_norm": 227332.6875,
|
513 |
+
"learning_rate": 7.119889756545705e-08,
|
514 |
+
"loss": 0.4088,
|
515 |
+
"step": 62
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 7.0,
|
519 |
+
"grad_norm": 88005.5234375,
|
520 |
+
"learning_rate": 7.234726688102894e-08,
|
521 |
+
"loss": 0.4032,
|
522 |
+
"step": 63
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 7.0,
|
526 |
+
"eval_accuracy": 0.8137344970142398,
|
527 |
+
"eval_f1": 0.8020502806931902,
|
528 |
+
"eval_loss": 0.4067862927913666,
|
529 |
+
"eval_precision": 0.8141724479682855,
|
530 |
+
"eval_recall": 0.7902837902837903,
|
531 |
+
"eval_runtime": 4.1376,
|
532 |
+
"eval_samples_per_second": 1052.312,
|
533 |
+
"eval_steps_per_second": 0.725,
|
534 |
+
"step": 63
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 7.111111111111111,
|
538 |
+
"grad_norm": 66663.6328125,
|
539 |
+
"learning_rate": 7.349563619660084e-08,
|
540 |
+
"loss": 0.4037,
|
541 |
+
"step": 64
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 7.222222222222222,
|
545 |
+
"grad_norm": 195190.40625,
|
546 |
+
"learning_rate": 7.464400551217272e-08,
|
547 |
+
"loss": 0.4011,
|
548 |
+
"step": 65
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 7.333333333333333,
|
552 |
+
"grad_norm": 77268.6875,
|
553 |
+
"learning_rate": 7.57923748277446e-08,
|
554 |
+
"loss": 0.3993,
|
555 |
+
"step": 66
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 7.444444444444445,
|
559 |
+
"grad_norm": 123770.078125,
|
560 |
+
"learning_rate": 7.694074414331649e-08,
|
561 |
+
"loss": 0.4058,
|
562 |
+
"step": 67
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 7.555555555555555,
|
566 |
+
"grad_norm": 206524.921875,
|
567 |
+
"learning_rate": 7.808911345888839e-08,
|
568 |
+
"loss": 0.4068,
|
569 |
+
"step": 68
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 7.666666666666667,
|
573 |
+
"grad_norm": 93597.125,
|
574 |
+
"learning_rate": 7.923748277446027e-08,
|
575 |
+
"loss": 0.4005,
|
576 |
+
"step": 69
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 7.777777777777778,
|
580 |
+
"grad_norm": 137944.546875,
|
581 |
+
"learning_rate": 8.038585209003216e-08,
|
582 |
+
"loss": 0.4114,
|
583 |
+
"step": 70
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 7.888888888888889,
|
587 |
+
"grad_norm": 152527.265625,
|
588 |
+
"learning_rate": 8.153422140560404e-08,
|
589 |
+
"loss": 0.4002,
|
590 |
+
"step": 71
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 8.0,
|
594 |
+
"grad_norm": 189652.96875,
|
595 |
+
"learning_rate": 8.268259072117593e-08,
|
596 |
+
"loss": 0.3697,
|
597 |
+
"step": 72
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 8.0,
|
601 |
+
"eval_accuracy": 0.815112540192926,
|
602 |
+
"eval_f1": 0.8042791150012156,
|
603 |
+
"eval_loss": 0.4065553843975067,
|
604 |
+
"eval_precision": 0.8131760078662733,
|
605 |
+
"eval_recall": 0.7955747955747956,
|
606 |
+
"eval_runtime": 4.1923,
|
607 |
+
"eval_samples_per_second": 1038.578,
|
608 |
+
"eval_steps_per_second": 0.716,
|
609 |
+
"step": 72
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 8.11111111111111,
|
613 |
+
"grad_norm": 118062.1328125,
|
614 |
+
"learning_rate": 8.383096003674781e-08,
|
615 |
+
"loss": 0.3995,
|
616 |
+
"step": 73
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 8.222222222222221,
|
620 |
+
"grad_norm": 118298.40625,
|
621 |
+
"learning_rate": 8.49793293523197e-08,
|
622 |
+
"loss": 0.4072,
|
623 |
+
"step": 74
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 8.333333333333334,
|
627 |
+
"grad_norm": 165875.65625,
|
628 |
+
"learning_rate": 8.61276986678916e-08,
|
629 |
+
"loss": 0.4195,
|
630 |
+
"step": 75
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 8.444444444444445,
|
634 |
+
"grad_norm": 141588.953125,
|
635 |
+
"learning_rate": 8.72760679834635e-08,
|
636 |
+
"loss": 0.4065,
|
637 |
+
"step": 76
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 8.555555555555555,
|
641 |
+
"grad_norm": 118747.3046875,
|
642 |
+
"learning_rate": 8.842443729903538e-08,
|
643 |
+
"loss": 0.4114,
|
644 |
+
"step": 77
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 8.666666666666666,
|
648 |
+
"grad_norm": 217602.65625,
|
649 |
+
"learning_rate": 8.957280661460727e-08,
|
650 |
+
"loss": 0.4167,
|
651 |
+
"step": 78
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 8.777777777777779,
|
655 |
+
"grad_norm": 130492.5390625,
|
656 |
+
"learning_rate": 9.072117593017915e-08,
|
657 |
+
"loss": 0.3948,
|
658 |
+
"step": 79
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 8.88888888888889,
|
662 |
+
"grad_norm": 157410.8125,
|
663 |
+
"learning_rate": 9.186954524575104e-08,
|
664 |
+
"loss": 0.382,
|
665 |
+
"step": 80
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 9.0,
|
669 |
+
"grad_norm": 297632.4375,
|
670 |
+
"learning_rate": 9.301791456132292e-08,
|
671 |
+
"loss": 0.3903,
|
672 |
+
"step": 81
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 9.0,
|
676 |
+
"eval_accuracy": 0.8164905833716123,
|
677 |
+
"eval_f1": 0.8062090710647587,
|
678 |
+
"eval_loss": 0.40632495284080505,
|
679 |
+
"eval_precision": 0.8131115459882583,
|
680 |
+
"eval_recall": 0.7994227994227994,
|
681 |
+
"eval_runtime": 4.2297,
|
682 |
+
"eval_samples_per_second": 1029.392,
|
683 |
+
"eval_steps_per_second": 0.709,
|
684 |
+
"step": 81
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 9.11111111111111,
|
688 |
+
"grad_norm": 78985.640625,
|
689 |
+
"learning_rate": 9.416628387689481e-08,
|
690 |
+
"loss": 0.3857,
|
691 |
+
"step": 82
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 9.222222222222221,
|
695 |
+
"grad_norm": 63331.29296875,
|
696 |
+
"learning_rate": 9.53146531924667e-08,
|
697 |
+
"loss": 0.398,
|
698 |
+
"step": 83
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 9.333333333333334,
|
702 |
+
"grad_norm": 234827.0,
|
703 |
+
"learning_rate": 9.646302250803859e-08,
|
704 |
+
"loss": 0.4111,
|
705 |
+
"step": 84
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 9.444444444444445,
|
709 |
+
"grad_norm": 84457.109375,
|
710 |
+
"learning_rate": 9.761139182361048e-08,
|
711 |
+
"loss": 0.3911,
|
712 |
+
"step": 85
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 9.555555555555555,
|
716 |
+
"grad_norm": 111777.2109375,
|
717 |
+
"learning_rate": 9.875976113918237e-08,
|
718 |
+
"loss": 0.3972,
|
719 |
+
"step": 86
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 9.666666666666666,
|
723 |
+
"grad_norm": 114194.203125,
|
724 |
+
"learning_rate": 9.990813045475426e-08,
|
725 |
+
"loss": 0.407,
|
726 |
+
"step": 87
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 9.777777777777779,
|
730 |
+
"grad_norm": 99612.53125,
|
731 |
+
"learning_rate": 1.0105649977032615e-07,
|
732 |
+
"loss": 0.4061,
|
733 |
+
"step": 88
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 9.88888888888889,
|
737 |
+
"grad_norm": 79423.015625,
|
738 |
+
"learning_rate": 1.0220486908589803e-07,
|
739 |
+
"loss": 0.4026,
|
740 |
+
"step": 89
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 10.0,
|
744 |
+
"grad_norm": 290108.0,
|
745 |
+
"learning_rate": 1.0335323840146992e-07,
|
746 |
+
"loss": 0.3937,
|
747 |
+
"step": 90
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 10.0,
|
751 |
+
"eval_accuracy": 0.8153422140560405,
|
752 |
+
"eval_f1": 0.8045697617890131,
|
753 |
+
"eval_loss": 0.40608739852905273,
|
754 |
+
"eval_precision": 0.8132678132678133,
|
755 |
+
"eval_recall": 0.796055796055796,
|
756 |
+
"eval_runtime": 4.27,
|
757 |
+
"eval_samples_per_second": 1019.676,
|
758 |
+
"eval_steps_per_second": 0.703,
|
759 |
+
"step": 90
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 10.11111111111111,
|
763 |
+
"grad_norm": 139479.40625,
|
764 |
+
"learning_rate": 1.045016077170418e-07,
|
765 |
+
"loss": 0.399,
|
766 |
+
"step": 91
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 10.222222222222221,
|
770 |
+
"grad_norm": 72552.421875,
|
771 |
+
"learning_rate": 1.056499770326137e-07,
|
772 |
+
"loss": 0.3969,
|
773 |
+
"step": 92
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 10.333333333333334,
|
777 |
+
"grad_norm": 234034.046875,
|
778 |
+
"learning_rate": 1.0679834634818558e-07,
|
779 |
+
"loss": 0.4061,
|
780 |
+
"step": 93
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 10.444444444444445,
|
784 |
+
"grad_norm": 110617.3671875,
|
785 |
+
"learning_rate": 1.0794671566375747e-07,
|
786 |
+
"loss": 0.3898,
|
787 |
+
"step": 94
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 10.555555555555555,
|
791 |
+
"grad_norm": 96216.1484375,
|
792 |
+
"learning_rate": 1.0909508497932935e-07,
|
793 |
+
"loss": 0.3988,
|
794 |
+
"step": 95
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 10.666666666666666,
|
798 |
+
"grad_norm": 188674.1875,
|
799 |
+
"learning_rate": 1.1024345429490124e-07,
|
800 |
+
"loss": 0.4165,
|
801 |
+
"step": 96
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 10.777777777777779,
|
805 |
+
"grad_norm": 136938.84375,
|
806 |
+
"learning_rate": 1.1139182361047312e-07,
|
807 |
+
"loss": 0.3956,
|
808 |
+
"step": 97
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 10.88888888888889,
|
812 |
+
"grad_norm": 144631.921875,
|
813 |
+
"learning_rate": 1.1254019292604501e-07,
|
814 |
+
"loss": 0.4044,
|
815 |
+
"step": 98
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 11.0,
|
819 |
+
"grad_norm": 152543.46875,
|
820 |
+
"learning_rate": 1.1368856224161691e-07,
|
821 |
+
"loss": 0.4142,
|
822 |
+
"step": 99
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 11.0,
|
826 |
+
"eval_accuracy": 0.8148828663298117,
|
827 |
+
"eval_f1": 0.8036062378167641,
|
828 |
+
"eval_loss": 0.4058963358402252,
|
829 |
+
"eval_precision": 0.814320987654321,
|
830 |
+
"eval_recall": 0.7931697931697932,
|
831 |
+
"eval_runtime": 4.9658,
|
832 |
+
"eval_samples_per_second": 876.79,
|
833 |
+
"eval_steps_per_second": 0.604,
|
834 |
+
"step": 99
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 11.11111111111111,
|
838 |
+
"grad_norm": 154895.921875,
|
839 |
+
"learning_rate": 1.148369315571888e-07,
|
840 |
+
"loss": 0.3944,
|
841 |
+
"step": 100
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 11.222222222222221,
|
845 |
+
"grad_norm": 135768.296875,
|
846 |
+
"learning_rate": 1.1598530087276068e-07,
|
847 |
+
"loss": 0.4035,
|
848 |
+
"step": 101
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 11.333333333333334,
|
852 |
+
"grad_norm": 159888.703125,
|
853 |
+
"learning_rate": 1.1713367018833256e-07,
|
854 |
+
"loss": 0.4137,
|
855 |
+
"step": 102
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 11.444444444444445,
|
859 |
+
"grad_norm": 90339.2109375,
|
860 |
+
"learning_rate": 1.1828203950390445e-07,
|
861 |
+
"loss": 0.389,
|
862 |
+
"step": 103
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 11.555555555555555,
|
866 |
+
"grad_norm": 104756.0078125,
|
867 |
+
"learning_rate": 1.1943040881947635e-07,
|
868 |
+
"loss": 0.3865,
|
869 |
+
"step": 104
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 11.666666666666666,
|
873 |
+
"grad_norm": 115121.1953125,
|
874 |
+
"learning_rate": 1.2057877813504826e-07,
|
875 |
+
"loss": 0.3901,
|
876 |
+
"step": 105
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 11.777777777777779,
|
880 |
+
"grad_norm": 295445.125,
|
881 |
+
"learning_rate": 1.2172714745062014e-07,
|
882 |
+
"loss": 0.4113,
|
883 |
+
"step": 106
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 11.88888888888889,
|
887 |
+
"grad_norm": 156321.390625,
|
888 |
+
"learning_rate": 1.2287551676619203e-07,
|
889 |
+
"loss": 0.3993,
|
890 |
+
"step": 107
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 12.0,
|
894 |
+
"grad_norm": 152413.09375,
|
895 |
+
"learning_rate": 1.2402388608176391e-07,
|
896 |
+
"loss": 0.4051,
|
897 |
+
"step": 108
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 12.0,
|
901 |
+
"eval_accuracy": 0.8144235186035829,
|
902 |
+
"eval_f1": 0.8031189083820662,
|
903 |
+
"eval_loss": 0.40576180815696716,
|
904 |
+
"eval_precision": 0.8138271604938272,
|
905 |
+
"eval_recall": 0.7926887926887927,
|
906 |
+
"eval_runtime": 4.3329,
|
907 |
+
"eval_samples_per_second": 1004.878,
|
908 |
+
"eval_steps_per_second": 0.692,
|
909 |
+
"step": 108
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 12.11111111111111,
|
913 |
+
"grad_norm": 59771.40625,
|
914 |
+
"learning_rate": 1.251722553973358e-07,
|
915 |
+
"loss": 0.3913,
|
916 |
+
"step": 109
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 12.222222222222221,
|
920 |
+
"grad_norm": 129880.8046875,
|
921 |
+
"learning_rate": 1.2632062471290768e-07,
|
922 |
+
"loss": 0.4113,
|
923 |
+
"step": 110
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 12.333333333333334,
|
927 |
+
"grad_norm": 127175.734375,
|
928 |
+
"learning_rate": 1.2746899402847957e-07,
|
929 |
+
"loss": 0.4003,
|
930 |
+
"step": 111
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 12.444444444444445,
|
934 |
+
"grad_norm": 96643.9140625,
|
935 |
+
"learning_rate": 1.2861736334405146e-07,
|
936 |
+
"loss": 0.4086,
|
937 |
+
"step": 112
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 12.555555555555555,
|
941 |
+
"grad_norm": 104994.5078125,
|
942 |
+
"learning_rate": 1.2976573265962334e-07,
|
943 |
+
"loss": 0.3986,
|
944 |
+
"step": 113
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 12.666666666666666,
|
948 |
+
"grad_norm": 54012.76953125,
|
949 |
+
"learning_rate": 1.3091410197519523e-07,
|
950 |
+
"loss": 0.3907,
|
951 |
+
"step": 114
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 12.777777777777779,
|
955 |
+
"grad_norm": 270469.09375,
|
956 |
+
"learning_rate": 1.320624712907671e-07,
|
957 |
+
"loss": 0.404,
|
958 |
+
"step": 115
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 12.88888888888889,
|
962 |
+
"grad_norm": 102465.6796875,
|
963 |
+
"learning_rate": 1.33210840606339e-07,
|
964 |
+
"loss": 0.4069,
|
965 |
+
"step": 116
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 13.0,
|
969 |
+
"grad_norm": 215163.171875,
|
970 |
+
"learning_rate": 1.3435920992191088e-07,
|
971 |
+
"loss": 0.3644,
|
972 |
+
"step": 117
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 13.0,
|
976 |
+
"eval_accuracy": 0.8146531924666973,
|
977 |
+
"eval_f1": 0.803218727139722,
|
978 |
+
"eval_loss": 0.4056652784347534,
|
979 |
+
"eval_precision": 0.814540059347181,
|
980 |
+
"eval_recall": 0.7922077922077922,
|
981 |
+
"eval_runtime": 3.9431,
|
982 |
+
"eval_samples_per_second": 1104.204,
|
983 |
+
"eval_steps_per_second": 0.761,
|
984 |
+
"step": 117
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 13.11111111111111,
|
988 |
+
"grad_norm": 101811.140625,
|
989 |
+
"learning_rate": 1.3550757923748277e-07,
|
990 |
+
"loss": 0.417,
|
991 |
+
"step": 118
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 13.222222222222221,
|
995 |
+
"grad_norm": 70086.578125,
|
996 |
+
"learning_rate": 1.3665594855305468e-07,
|
997 |
+
"loss": 0.392,
|
998 |
+
"step": 119
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 13.333333333333334,
|
1002 |
+
"grad_norm": 143038.09375,
|
1003 |
+
"learning_rate": 1.3780431786862656e-07,
|
1004 |
+
"loss": 0.4184,
|
1005 |
+
"step": 120
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 13.444444444444445,
|
1009 |
+
"grad_norm": 219920.734375,
|
1010 |
+
"learning_rate": 1.3895268718419845e-07,
|
1011 |
+
"loss": 0.3875,
|
1012 |
+
"step": 121
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 13.555555555555555,
|
1016 |
+
"grad_norm": 57099.09375,
|
1017 |
+
"learning_rate": 1.4010105649977033e-07,
|
1018 |
+
"loss": 0.4044,
|
1019 |
+
"step": 122
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 13.666666666666666,
|
1023 |
+
"grad_norm": 128275.0390625,
|
1024 |
+
"learning_rate": 1.4124942581534222e-07,
|
1025 |
+
"loss": 0.4059,
|
1026 |
+
"step": 123
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 13.777777777777779,
|
1030 |
+
"grad_norm": 235324.9375,
|
1031 |
+
"learning_rate": 1.423977951309141e-07,
|
1032 |
+
"loss": 0.3892,
|
1033 |
+
"step": 124
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 13.88888888888889,
|
1037 |
+
"grad_norm": 81514.5078125,
|
1038 |
+
"learning_rate": 1.43546164446486e-07,
|
1039 |
+
"loss": 0.3915,
|
1040 |
+
"step": 125
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 14.0,
|
1044 |
+
"grad_norm": 148182.484375,
|
1045 |
+
"learning_rate": 1.4469453376205787e-07,
|
1046 |
+
"loss": 0.4034,
|
1047 |
+
"step": 126
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 14.0,
|
1051 |
+
"eval_accuracy": 0.8146531924666973,
|
1052 |
+
"eval_f1": 0.8037928519328957,
|
1053 |
+
"eval_loss": 0.40557122230529785,
|
1054 |
+
"eval_precision": 0.8126843657817109,
|
1055 |
+
"eval_recall": 0.7950937950937951,
|
1056 |
+
"eval_runtime": 3.9983,
|
1057 |
+
"eval_samples_per_second": 1088.959,
|
1058 |
+
"eval_steps_per_second": 0.75,
|
1059 |
+
"step": 126
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 14.11111111111111,
|
1063 |
+
"grad_norm": 142549.59375,
|
1064 |
+
"learning_rate": 1.4584290307762979e-07,
|
1065 |
+
"loss": 0.4255,
|
1066 |
+
"step": 127
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 14.222222222222221,
|
1070 |
+
"grad_norm": 60380.79296875,
|
1071 |
+
"learning_rate": 1.4699127239320167e-07,
|
1072 |
+
"loss": 0.4101,
|
1073 |
+
"step": 128
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 14.333333333333334,
|
1077 |
+
"grad_norm": 58979.21484375,
|
1078 |
+
"learning_rate": 1.4813964170877356e-07,
|
1079 |
+
"loss": 0.3949,
|
1080 |
+
"step": 129
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 14.444444444444445,
|
1084 |
+
"grad_norm": 73793.7734375,
|
1085 |
+
"learning_rate": 1.4928801102434544e-07,
|
1086 |
+
"loss": 0.4167,
|
1087 |
+
"step": 130
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 14.555555555555555,
|
1091 |
+
"grad_norm": 108768.390625,
|
1092 |
+
"learning_rate": 1.5043638033991733e-07,
|
1093 |
+
"loss": 0.3798,
|
1094 |
+
"step": 131
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 14.666666666666666,
|
1098 |
+
"grad_norm": 79237.4765625,
|
1099 |
+
"learning_rate": 1.515847496554892e-07,
|
1100 |
+
"loss": 0.3917,
|
1101 |
+
"step": 132
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 14.777777777777779,
|
1105 |
+
"grad_norm": 286473.53125,
|
1106 |
+
"learning_rate": 1.527331189710611e-07,
|
1107 |
+
"loss": 0.3752,
|
1108 |
+
"step": 133
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 14.88888888888889,
|
1112 |
+
"grad_norm": 114565.21875,
|
1113 |
+
"learning_rate": 1.5388148828663298e-07,
|
1114 |
+
"loss": 0.3787,
|
1115 |
+
"step": 134
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 15.0,
|
1119 |
+
"grad_norm": 102380.3359375,
|
1120 |
+
"learning_rate": 1.5502985760220487e-07,
|
1121 |
+
"loss": 0.4162,
|
1122 |
+
"step": 135
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 15.0,
|
1126 |
+
"eval_accuracy": 0.8148828663298117,
|
1127 |
+
"eval_f1": 0.804368932038835,
|
1128 |
+
"eval_loss": 0.4054870307445526,
|
1129 |
+
"eval_precision": 0.8118569328760411,
|
1130 |
+
"eval_recall": 0.7970177970177971,
|
1131 |
+
"eval_runtime": 4.0281,
|
1132 |
+
"eval_samples_per_second": 1080.894,
|
1133 |
+
"eval_steps_per_second": 0.745,
|
1134 |
+
"step": 135
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 15.11111111111111,
|
1138 |
+
"grad_norm": 116745.8515625,
|
1139 |
+
"learning_rate": 1.5617822691777678e-07,
|
1140 |
+
"loss": 0.385,
|
1141 |
+
"step": 136
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"epoch": 15.222222222222221,
|
1145 |
+
"grad_norm": 167835.21875,
|
1146 |
+
"learning_rate": 1.5732659623334866e-07,
|
1147 |
+
"loss": 0.4247,
|
1148 |
+
"step": 137
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 15.333333333333334,
|
1152 |
+
"grad_norm": 289577.75,
|
1153 |
+
"learning_rate": 1.5847496554892055e-07,
|
1154 |
+
"loss": 0.4071,
|
1155 |
+
"step": 138
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 15.444444444444445,
|
1159 |
+
"grad_norm": 99801.046875,
|
1160 |
+
"learning_rate": 1.5962333486449243e-07,
|
1161 |
+
"loss": 0.3914,
|
1162 |
+
"step": 139
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"epoch": 15.555555555555555,
|
1166 |
+
"grad_norm": 73735.4609375,
|
1167 |
+
"learning_rate": 1.6077170418006432e-07,
|
1168 |
+
"loss": 0.4035,
|
1169 |
+
"step": 140
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 15.666666666666666,
|
1173 |
+
"grad_norm": 110641.0625,
|
1174 |
+
"learning_rate": 1.619200734956362e-07,
|
1175 |
+
"loss": 0.4105,
|
1176 |
+
"step": 141
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 15.777777777777779,
|
1180 |
+
"grad_norm": 187587.828125,
|
1181 |
+
"learning_rate": 1.630684428112081e-07,
|
1182 |
+
"loss": 0.4045,
|
1183 |
+
"step": 142
|
1184 |
+
},
|
1185 |
+
{
|
1186 |
+
"epoch": 15.88888888888889,
|
1187 |
+
"grad_norm": 219092.484375,
|
1188 |
+
"learning_rate": 1.6421681212677997e-07,
|
1189 |
+
"loss": 0.3789,
|
1190 |
+
"step": 143
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 16.0,
|
1194 |
+
"grad_norm": 97330.953125,
|
1195 |
+
"learning_rate": 1.6536518144235186e-07,
|
1196 |
+
"loss": 0.4096,
|
1197 |
+
"step": 144
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 16.0,
|
1201 |
+
"eval_accuracy": 0.8139641708773542,
|
1202 |
+
"eval_f1": 0.8033025740650801,
|
1203 |
+
"eval_loss": 0.4053776264190674,
|
1204 |
+
"eval_precision": 0.8111819519372241,
|
1205 |
+
"eval_recall": 0.7955747955747956,
|
1206 |
+
"eval_runtime": 4.0824,
|
1207 |
+
"eval_samples_per_second": 1066.522,
|
1208 |
+
"eval_steps_per_second": 0.735,
|
1209 |
+
"step": 144
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 16.11111111111111,
|
1213 |
+
"grad_norm": 195703.734375,
|
1214 |
+
"learning_rate": 1.6651355075792374e-07,
|
1215 |
+
"loss": 0.389,
|
1216 |
+
"step": 145
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 16.22222222222222,
|
1220 |
+
"grad_norm": 63109.23046875,
|
1221 |
+
"learning_rate": 1.6766192007349563e-07,
|
1222 |
+
"loss": 0.4151,
|
1223 |
+
"step": 146
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 16.333333333333332,
|
1227 |
+
"grad_norm": 97057.3046875,
|
1228 |
+
"learning_rate": 1.6881028938906751e-07,
|
1229 |
+
"loss": 0.3928,
|
1230 |
+
"step": 147
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 16.444444444444443,
|
1234 |
+
"grad_norm": 225292.15625,
|
1235 |
+
"learning_rate": 1.699586587046394e-07,
|
1236 |
+
"loss": 0.3984,
|
1237 |
+
"step": 148
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 16.555555555555557,
|
1241 |
+
"grad_norm": 246126.90625,
|
1242 |
+
"learning_rate": 1.7110702802021129e-07,
|
1243 |
+
"loss": 0.4032,
|
1244 |
+
"step": 149
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 16.666666666666668,
|
1248 |
+
"grad_norm": 65869.1640625,
|
1249 |
+
"learning_rate": 1.722553973357832e-07,
|
1250 |
+
"loss": 0.3859,
|
1251 |
+
"step": 150
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 16.77777777777778,
|
1255 |
+
"grad_norm": 87636.9921875,
|
1256 |
+
"learning_rate": 1.7340376665135508e-07,
|
1257 |
+
"loss": 0.4103,
|
1258 |
+
"step": 151
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 16.88888888888889,
|
1262 |
+
"grad_norm": 285831.25,
|
1263 |
+
"learning_rate": 1.74552135966927e-07,
|
1264 |
+
"loss": 0.3969,
|
1265 |
+
"step": 152
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 17.0,
|
1269 |
+
"grad_norm": 154354.15625,
|
1270 |
+
"learning_rate": 1.7570050528249888e-07,
|
1271 |
+
"loss": 0.393,
|
1272 |
+
"step": 153
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 17.0,
|
1276 |
+
"eval_accuracy": 0.815112540192926,
|
1277 |
+
"eval_f1": 0.8036106367406685,
|
1278 |
+
"eval_loss": 0.4052949547767639,
|
1279 |
+
"eval_precision": 0.8153465346534653,
|
1280 |
+
"eval_recall": 0.7922077922077922,
|
1281 |
+
"eval_runtime": 4.1342,
|
1282 |
+
"eval_samples_per_second": 1053.169,
|
1283 |
+
"eval_steps_per_second": 0.726,
|
1284 |
+
"step": 153
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 17.11111111111111,
|
1288 |
+
"grad_norm": 49760.75,
|
1289 |
+
"learning_rate": 1.7684887459807076e-07,
|
1290 |
+
"loss": 0.3866,
|
1291 |
+
"step": 154
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 17.22222222222222,
|
1295 |
+
"grad_norm": 125308.21875,
|
1296 |
+
"learning_rate": 1.7799724391364265e-07,
|
1297 |
+
"loss": 0.4089,
|
1298 |
+
"step": 155
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 17.333333333333332,
|
1302 |
+
"grad_norm": 339002.8125,
|
1303 |
+
"learning_rate": 1.7914561322921453e-07,
|
1304 |
+
"loss": 0.4052,
|
1305 |
+
"step": 156
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 17.444444444444443,
|
1309 |
+
"grad_norm": 58521.89453125,
|
1310 |
+
"learning_rate": 1.8029398254478642e-07,
|
1311 |
+
"loss": 0.4052,
|
1312 |
+
"step": 157
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 17.555555555555557,
|
1316 |
+
"grad_norm": 150677.5,
|
1317 |
+
"learning_rate": 1.814423518603583e-07,
|
1318 |
+
"loss": 0.4085,
|
1319 |
+
"step": 158
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 17.666666666666668,
|
1323 |
+
"grad_norm": 204164.671875,
|
1324 |
+
"learning_rate": 1.825907211759302e-07,
|
1325 |
+
"loss": 0.4093,
|
1326 |
+
"step": 159
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 17.77777777777778,
|
1330 |
+
"grad_norm": 54231.87890625,
|
1331 |
+
"learning_rate": 1.8373909049150207e-07,
|
1332 |
+
"loss": 0.4017,
|
1333 |
+
"step": 160
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 17.88888888888889,
|
1337 |
+
"grad_norm": 104072.015625,
|
1338 |
+
"learning_rate": 1.8488745980707396e-07,
|
1339 |
+
"loss": 0.3916,
|
1340 |
+
"step": 161
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 18.0,
|
1344 |
+
"grad_norm": 271511.78125,
|
1345 |
+
"learning_rate": 1.8603582912264585e-07,
|
1346 |
+
"loss": 0.3912,
|
1347 |
+
"step": 162
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 18.0,
|
1351 |
+
"eval_accuracy": 0.8148828663298117,
|
1352 |
+
"eval_f1": 0.8037018996590356,
|
1353 |
+
"eval_loss": 0.4052158296108246,
|
1354 |
+
"eval_precision": 0.8140108534780464,
|
1355 |
+
"eval_recall": 0.7936507936507936,
|
1356 |
+
"eval_runtime": 4.1677,
|
1357 |
+
"eval_samples_per_second": 1044.694,
|
1358 |
+
"eval_steps_per_second": 0.72,
|
1359 |
+
"step": 162
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 18.11111111111111,
|
1363 |
+
"grad_norm": 95303.6796875,
|
1364 |
+
"learning_rate": 1.8718419843821773e-07,
|
1365 |
+
"loss": 0.4009,
|
1366 |
+
"step": 163
|
1367 |
+
},
|
1368 |
+
{
|
1369 |
+
"epoch": 18.22222222222222,
|
1370 |
+
"grad_norm": 71401.6484375,
|
1371 |
+
"learning_rate": 1.8833256775378962e-07,
|
1372 |
+
"loss": 0.3918,
|
1373 |
+
"step": 164
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 18.333333333333332,
|
1377 |
+
"grad_norm": 107687.984375,
|
1378 |
+
"learning_rate": 1.894809370693615e-07,
|
1379 |
+
"loss": 0.4,
|
1380 |
+
"step": 165
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 18.444444444444443,
|
1384 |
+
"grad_norm": 102388.0703125,
|
1385 |
+
"learning_rate": 1.906293063849334e-07,
|
1386 |
+
"loss": 0.3796,
|
1387 |
+
"step": 166
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"epoch": 18.555555555555557,
|
1391 |
+
"grad_norm": 112113.8671875,
|
1392 |
+
"learning_rate": 1.917776757005053e-07,
|
1393 |
+
"loss": 0.3953,
|
1394 |
+
"step": 167
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 18.666666666666668,
|
1398 |
+
"grad_norm": 113897.875,
|
1399 |
+
"learning_rate": 1.9292604501607718e-07,
|
1400 |
+
"loss": 0.4134,
|
1401 |
+
"step": 168
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 18.77777777777778,
|
1405 |
+
"grad_norm": 86523.8203125,
|
1406 |
+
"learning_rate": 1.9407441433164907e-07,
|
1407 |
+
"loss": 0.4177,
|
1408 |
+
"step": 169
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 18.88888888888889,
|
1412 |
+
"grad_norm": 138922.859375,
|
1413 |
+
"learning_rate": 1.9522278364722095e-07,
|
1414 |
+
"loss": 0.3887,
|
1415 |
+
"step": 170
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 19.0,
|
1419 |
+
"grad_norm": 121278.3671875,
|
1420 |
+
"learning_rate": 1.9637115296279284e-07,
|
1421 |
+
"loss": 0.3955,
|
1422 |
+
"step": 171
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 19.0,
|
1426 |
+
"eval_accuracy": 0.8144235186035829,
|
1427 |
+
"eval_f1": 0.8037882467217096,
|
1428 |
+
"eval_loss": 0.4051366150379181,
|
1429 |
+
"eval_precision": 0.8116723884256989,
|
1430 |
+
"eval_recall": 0.796055796055796,
|
1431 |
+
"eval_runtime": 4.1949,
|
1432 |
+
"eval_samples_per_second": 1037.921,
|
1433 |
+
"eval_steps_per_second": 0.715,
|
1434 |
+
"step": 171
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 19.11111111111111,
|
1438 |
+
"grad_norm": 61011.9609375,
|
1439 |
+
"learning_rate": 1.9751952227836475e-07,
|
1440 |
+
"loss": 0.3844,
|
1441 |
+
"step": 172
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 19.22222222222222,
|
1445 |
+
"grad_norm": 196222.4375,
|
1446 |
+
"learning_rate": 1.986678915939366e-07,
|
1447 |
+
"loss": 0.3977,
|
1448 |
+
"step": 173
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 19.333333333333332,
|
1452 |
+
"grad_norm": 91308.3203125,
|
1453 |
+
"learning_rate": 1.9981626090950852e-07,
|
1454 |
+
"loss": 0.4267,
|
1455 |
+
"step": 174
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 19.444444444444443,
|
1459 |
+
"grad_norm": 205705.5625,
|
1460 |
+
"learning_rate": 2.0096463022508038e-07,
|
1461 |
+
"loss": 0.4008,
|
1462 |
+
"step": 175
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 19.555555555555557,
|
1466 |
+
"grad_norm": 127608.0859375,
|
1467 |
+
"learning_rate": 2.021129995406523e-07,
|
1468 |
+
"loss": 0.4118,
|
1469 |
+
"step": 176
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 19.666666666666668,
|
1473 |
+
"grad_norm": 229128.703125,
|
1474 |
+
"learning_rate": 2.0326136885622415e-07,
|
1475 |
+
"loss": 0.3761,
|
1476 |
+
"step": 177
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 19.77777777777778,
|
1480 |
+
"grad_norm": 425327.84375,
|
1481 |
+
"learning_rate": 2.0440973817179606e-07,
|
1482 |
+
"loss": 0.4085,
|
1483 |
+
"step": 178
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 19.88888888888889,
|
1487 |
+
"grad_norm": 65994.8984375,
|
1488 |
+
"learning_rate": 2.0555810748736792e-07,
|
1489 |
+
"loss": 0.4058,
|
1490 |
+
"step": 179
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 20.0,
|
1494 |
+
"grad_norm": 138098.46875,
|
1495 |
+
"learning_rate": 2.0670647680293983e-07,
|
1496 |
+
"loss": 0.3767,
|
1497 |
+
"step": 180
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 20.0,
|
1501 |
+
"eval_accuracy": 0.8148828663298117,
|
1502 |
+
"eval_f1": 0.8046534173533689,
|
1503 |
+
"eval_loss": 0.405115008354187,
|
1504 |
+
"eval_precision": 0.810942843185149,
|
1505 |
+
"eval_recall": 0.7984607984607984,
|
1506 |
+
"eval_runtime": 4.2367,
|
1507 |
+
"eval_samples_per_second": 1027.696,
|
1508 |
+
"eval_steps_per_second": 0.708,
|
1509 |
+
"step": 180
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 20.11111111111111,
|
1513 |
+
"grad_norm": 74958.46875,
|
1514 |
+
"learning_rate": 2.0785484611851172e-07,
|
1515 |
+
"loss": 0.3977,
|
1516 |
+
"step": 181
|
1517 |
+
},
|
1518 |
+
{
|
1519 |
+
"epoch": 20.22222222222222,
|
1520 |
+
"grad_norm": 82404.0234375,
|
1521 |
+
"learning_rate": 2.090032154340836e-07,
|
1522 |
+
"loss": 0.4025,
|
1523 |
+
"step": 182
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"epoch": 20.333333333333332,
|
1527 |
+
"grad_norm": 67746.3046875,
|
1528 |
+
"learning_rate": 2.1015158474965549e-07,
|
1529 |
+
"loss": 0.3838,
|
1530 |
+
"step": 183
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 20.444444444444443,
|
1534 |
+
"grad_norm": 92680.1796875,
|
1535 |
+
"learning_rate": 2.112999540652274e-07,
|
1536 |
+
"loss": 0.3965,
|
1537 |
+
"step": 184
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 20.555555555555557,
|
1541 |
+
"grad_norm": 115058.3203125,
|
1542 |
+
"learning_rate": 2.1244832338079928e-07,
|
1543 |
+
"loss": 0.4089,
|
1544 |
+
"step": 185
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 20.666666666666668,
|
1548 |
+
"grad_norm": 128900.953125,
|
1549 |
+
"learning_rate": 2.1359669269637117e-07,
|
1550 |
+
"loss": 0.4074,
|
1551 |
+
"step": 186
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 20.77777777777778,
|
1555 |
+
"grad_norm": 149284.90625,
|
1556 |
+
"learning_rate": 2.1474506201194308e-07,
|
1557 |
+
"loss": 0.3924,
|
1558 |
+
"step": 187
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 20.88888888888889,
|
1562 |
+
"grad_norm": 84672.4921875,
|
1563 |
+
"learning_rate": 2.1589343132751494e-07,
|
1564 |
+
"loss": 0.3824,
|
1565 |
+
"step": 188
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 21.0,
|
1569 |
+
"grad_norm": 92032.4140625,
|
1570 |
+
"learning_rate": 2.1704180064308685e-07,
|
1571 |
+
"loss": 0.4127,
|
1572 |
+
"step": 189
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 21.0,
|
1576 |
+
"eval_accuracy": 0.8141938447404685,
|
1577 |
+
"eval_f1": 0.8038787878787879,
|
1578 |
+
"eval_loss": 0.40498441457748413,
|
1579 |
+
"eval_precision": 0.8103616813294232,
|
1580 |
+
"eval_recall": 0.7974987974987975,
|
1581 |
+
"eval_runtime": 4.3154,
|
1582 |
+
"eval_samples_per_second": 1008.943,
|
1583 |
+
"eval_steps_per_second": 0.695,
|
1584 |
+
"step": 189
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 21.11111111111111,
|
1588 |
+
"grad_norm": 93812.4296875,
|
1589 |
+
"learning_rate": 2.181901699586587e-07,
|
1590 |
+
"loss": 0.3964,
|
1591 |
+
"step": 190
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 21.22222222222222,
|
1595 |
+
"grad_norm": 77012.28125,
|
1596 |
+
"learning_rate": 2.1933853927423062e-07,
|
1597 |
+
"loss": 0.4109,
|
1598 |
+
"step": 191
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 21.333333333333332,
|
1602 |
+
"grad_norm": 177500.828125,
|
1603 |
+
"learning_rate": 2.2048690858980248e-07,
|
1604 |
+
"loss": 0.3954,
|
1605 |
+
"step": 192
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 21.444444444444443,
|
1609 |
+
"grad_norm": 149028.421875,
|
1610 |
+
"learning_rate": 2.216352779053744e-07,
|
1611 |
+
"loss": 0.4003,
|
1612 |
+
"step": 193
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 21.555555555555557,
|
1616 |
+
"grad_norm": 96760.171875,
|
1617 |
+
"learning_rate": 2.2278364722094625e-07,
|
1618 |
+
"loss": 0.3827,
|
1619 |
+
"step": 194
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 21.666666666666668,
|
1623 |
+
"grad_norm": 123675.0,
|
1624 |
+
"learning_rate": 2.2393201653651816e-07,
|
1625 |
+
"loss": 0.4047,
|
1626 |
+
"step": 195
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 21.77777777777778,
|
1630 |
+
"grad_norm": 112310.28125,
|
1631 |
+
"learning_rate": 2.2508038585209002e-07,
|
1632 |
+
"loss": 0.4085,
|
1633 |
+
"step": 196
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 21.88888888888889,
|
1637 |
+
"grad_norm": 88293.609375,
|
1638 |
+
"learning_rate": 2.2622875516766193e-07,
|
1639 |
+
"loss": 0.3874,
|
1640 |
+
"step": 197
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 22.0,
|
1644 |
+
"grad_norm": 191053.4375,
|
1645 |
+
"learning_rate": 2.2737712448323382e-07,
|
1646 |
+
"loss": 0.3947,
|
1647 |
+
"step": 198
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 22.0,
|
1651 |
+
"eval_accuracy": 0.8144235186035829,
|
1652 |
+
"eval_f1": 0.8037882467217096,
|
1653 |
+
"eval_loss": 0.4048587381839752,
|
1654 |
+
"eval_precision": 0.8116723884256989,
|
1655 |
+
"eval_recall": 0.796055796055796,
|
1656 |
+
"eval_runtime": 4.4003,
|
1657 |
+
"eval_samples_per_second": 989.472,
|
1658 |
+
"eval_steps_per_second": 0.682,
|
1659 |
+
"step": 198
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 22.11111111111111,
|
1663 |
+
"grad_norm": 170156.15625,
|
1664 |
+
"learning_rate": 2.285254937988057e-07,
|
1665 |
+
"loss": 0.3962,
|
1666 |
+
"step": 199
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 22.22222222222222,
|
1670 |
+
"grad_norm": 127575.1328125,
|
1671 |
+
"learning_rate": 2.296738631143776e-07,
|
1672 |
+
"loss": 0.4036,
|
1673 |
+
"step": 200
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 22.333333333333332,
|
1677 |
+
"grad_norm": 236836.921875,
|
1678 |
+
"learning_rate": 2.308222324299495e-07,
|
1679 |
+
"loss": 0.3971,
|
1680 |
+
"step": 201
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 22.444444444444443,
|
1684 |
+
"grad_norm": 77587.4453125,
|
1685 |
+
"learning_rate": 2.3197060174552136e-07,
|
1686 |
+
"loss": 0.4044,
|
1687 |
+
"step": 202
|
1688 |
+
},
|
1689 |
+
{
|
1690 |
+
"epoch": 22.555555555555557,
|
1691 |
+
"grad_norm": 45806.18359375,
|
1692 |
+
"learning_rate": 2.3311897106109327e-07,
|
1693 |
+
"loss": 0.3936,
|
1694 |
+
"step": 203
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 22.666666666666668,
|
1698 |
+
"grad_norm": 97516.109375,
|
1699 |
+
"learning_rate": 2.3426734037666513e-07,
|
1700 |
+
"loss": 0.3851,
|
1701 |
+
"step": 204
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 22.77777777777778,
|
1705 |
+
"grad_norm": 174627.4375,
|
1706 |
+
"learning_rate": 2.3541570969223704e-07,
|
1707 |
+
"loss": 0.3926,
|
1708 |
+
"step": 205
|
1709 |
+
},
|
1710 |
+
{
|
1711 |
+
"epoch": 22.88888888888889,
|
1712 |
+
"grad_norm": 196857.96875,
|
1713 |
+
"learning_rate": 2.365640790078089e-07,
|
1714 |
+
"loss": 0.4156,
|
1715 |
+
"step": 206
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 23.0,
|
1719 |
+
"grad_norm": 133552.34375,
|
1720 |
+
"learning_rate": 2.377124483233808e-07,
|
1721 |
+
"loss": 0.3795,
|
1722 |
+
"step": 207
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 23.0,
|
1726 |
+
"eval_accuracy": 0.8139641708773542,
|
1727 |
+
"eval_f1": 0.8034934497816594,
|
1728 |
+
"eval_loss": 0.4047852158546448,
|
1729 |
+
"eval_precision": 0.8105726872246696,
|
1730 |
+
"eval_recall": 0.7965367965367965,
|
1731 |
+
"eval_runtime": 4.8006,
|
1732 |
+
"eval_samples_per_second": 906.965,
|
1733 |
+
"eval_steps_per_second": 0.625,
|
1734 |
+
"step": 207
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 23.11111111111111,
|
1738 |
+
"grad_norm": 62008.26171875,
|
1739 |
+
"learning_rate": 2.388608176389527e-07,
|
1740 |
+
"loss": 0.3883,
|
1741 |
+
"step": 208
|
1742 |
+
},
|
1743 |
+
{
|
1744 |
+
"epoch": 23.22222222222222,
|
1745 |
+
"grad_norm": 70936.859375,
|
1746 |
+
"learning_rate": 2.400091869545246e-07,
|
1747 |
+
"loss": 0.3965,
|
1748 |
+
"step": 209
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 23.333333333333332,
|
1752 |
+
"grad_norm": 156648.625,
|
1753 |
+
"learning_rate": 2.411575562700965e-07,
|
1754 |
+
"loss": 0.4019,
|
1755 |
+
"step": 210
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 23.444444444444443,
|
1759 |
+
"grad_norm": 112089.359375,
|
1760 |
+
"learning_rate": 2.423059255856684e-07,
|
1761 |
+
"loss": 0.4071,
|
1762 |
+
"step": 211
|
1763 |
+
},
|
1764 |
+
{
|
1765 |
+
"epoch": 23.555555555555557,
|
1766 |
+
"grad_norm": 79252.5859375,
|
1767 |
+
"learning_rate": 2.434542949012403e-07,
|
1768 |
+
"loss": 0.4041,
|
1769 |
+
"step": 212
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 23.666666666666668,
|
1773 |
+
"grad_norm": 277307.15625,
|
1774 |
+
"learning_rate": 2.4460266421681215e-07,
|
1775 |
+
"loss": 0.3978,
|
1776 |
+
"step": 213
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 23.77777777777778,
|
1780 |
+
"grad_norm": 79551.9765625,
|
1781 |
+
"learning_rate": 2.4575103353238406e-07,
|
1782 |
+
"loss": 0.3963,
|
1783 |
+
"step": 214
|
1784 |
+
},
|
1785 |
+
{
|
1786 |
+
"epoch": 23.88888888888889,
|
1787 |
+
"grad_norm": 88835.6484375,
|
1788 |
+
"learning_rate": 2.468994028479559e-07,
|
1789 |
+
"loss": 0.4016,
|
1790 |
+
"step": 215
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 24.0,
|
1794 |
+
"grad_norm": 357092.75,
|
1795 |
+
"learning_rate": 2.4804777216352783e-07,
|
1796 |
+
"loss": 0.3643,
|
1797 |
+
"step": 216
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 24.0,
|
1801 |
+
"eval_accuracy": 0.815112540192926,
|
1802 |
+
"eval_f1": 0.8052262279216066,
|
1803 |
+
"eval_loss": 0.4047646224498749,
|
1804 |
+
"eval_precision": 0.810126582278481,
|
1805 |
+
"eval_recall": 0.8003848003848004,
|
1806 |
+
"eval_runtime": 4.4662,
|
1807 |
+
"eval_samples_per_second": 974.88,
|
1808 |
+
"eval_steps_per_second": 0.672,
|
1809 |
+
"step": 216
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 24.11111111111111,
|
1813 |
+
"grad_norm": 68085.9453125,
|
1814 |
+
"learning_rate": 2.491961414790997e-07,
|
1815 |
+
"loss": 0.4226,
|
1816 |
+
"step": 217
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"epoch": 24.22222222222222,
|
1820 |
+
"grad_norm": 100080.5703125,
|
1821 |
+
"learning_rate": 2.503445107946716e-07,
|
1822 |
+
"loss": 0.4022,
|
1823 |
+
"step": 218
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 24.333333333333332,
|
1827 |
+
"grad_norm": 44949.98828125,
|
1828 |
+
"learning_rate": 2.5149288011024346e-07,
|
1829 |
+
"loss": 0.3913,
|
1830 |
+
"step": 219
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 24.444444444444443,
|
1834 |
+
"grad_norm": 129354.359375,
|
1835 |
+
"learning_rate": 2.5264124942581537e-07,
|
1836 |
+
"loss": 0.4022,
|
1837 |
+
"step": 220
|
1838 |
+
},
|
1839 |
+
{
|
1840 |
+
"epoch": 24.555555555555557,
|
1841 |
+
"grad_norm": 111662.390625,
|
1842 |
+
"learning_rate": 2.5378961874138723e-07,
|
1843 |
+
"loss": 0.3831,
|
1844 |
+
"step": 221
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 24.666666666666668,
|
1848 |
+
"grad_norm": 92629.7421875,
|
1849 |
+
"learning_rate": 2.5493798805695914e-07,
|
1850 |
+
"loss": 0.4062,
|
1851 |
+
"step": 222
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 24.77777777777778,
|
1855 |
+
"grad_norm": 65400.94140625,
|
1856 |
+
"learning_rate": 2.56086357372531e-07,
|
1857 |
+
"loss": 0.3813,
|
1858 |
+
"step": 223
|
1859 |
+
},
|
1860 |
+
{
|
1861 |
+
"epoch": 24.88888888888889,
|
1862 |
+
"grad_norm": 110438.328125,
|
1863 |
+
"learning_rate": 2.572347266881029e-07,
|
1864 |
+
"loss": 0.3893,
|
1865 |
+
"step": 224
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 25.0,
|
1869 |
+
"grad_norm": 377074.5,
|
1870 |
+
"learning_rate": 2.5838309600367477e-07,
|
1871 |
+
"loss": 0.413,
|
1872 |
+
"step": 225
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 25.0,
|
1876 |
+
"eval_accuracy": 0.8144235186035829,
|
1877 |
+
"eval_f1": 0.8039786511402232,
|
1878 |
+
"eval_loss": 0.4046037197113037,
|
1879 |
+
"eval_precision": 0.811062163485071,
|
1880 |
+
"eval_recall": 0.7970177970177971,
|
1881 |
+
"eval_runtime": 4.5221,
|
1882 |
+
"eval_samples_per_second": 962.818,
|
1883 |
+
"eval_steps_per_second": 0.663,
|
1884 |
+
"step": 225
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 25.11111111111111,
|
1888 |
+
"grad_norm": 67365.15625,
|
1889 |
+
"learning_rate": 2.595314653192467e-07,
|
1890 |
+
"loss": 0.4213,
|
1891 |
+
"step": 226
|
1892 |
+
},
|
1893 |
+
{
|
1894 |
+
"epoch": 25.22222222222222,
|
1895 |
+
"grad_norm": 130178.484375,
|
1896 |
+
"learning_rate": 2.6067983463481854e-07,
|
1897 |
+
"loss": 0.3799,
|
1898 |
+
"step": 227
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 25.333333333333332,
|
1902 |
+
"grad_norm": 38395.203125,
|
1903 |
+
"learning_rate": 2.6182820395039045e-07,
|
1904 |
+
"loss": 0.3885,
|
1905 |
+
"step": 228
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 25.444444444444443,
|
1909 |
+
"grad_norm": 82970.3359375,
|
1910 |
+
"learning_rate": 2.629765732659623e-07,
|
1911 |
+
"loss": 0.4155,
|
1912 |
+
"step": 229
|
1913 |
+
},
|
1914 |
+
{
|
1915 |
+
"epoch": 25.555555555555557,
|
1916 |
+
"grad_norm": 178850.171875,
|
1917 |
+
"learning_rate": 2.641249425815342e-07,
|
1918 |
+
"loss": 0.4066,
|
1919 |
+
"step": 230
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 25.666666666666668,
|
1923 |
+
"grad_norm": 143966.3125,
|
1924 |
+
"learning_rate": 2.6527331189710613e-07,
|
1925 |
+
"loss": 0.3939,
|
1926 |
+
"step": 231
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 25.77777777777778,
|
1930 |
+
"grad_norm": 84673.3203125,
|
1931 |
+
"learning_rate": 2.66421681212678e-07,
|
1932 |
+
"loss": 0.3885,
|
1933 |
+
"step": 232
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 25.88888888888889,
|
1937 |
+
"grad_norm": 230422.8125,
|
1938 |
+
"learning_rate": 2.675700505282499e-07,
|
1939 |
+
"loss": 0.3977,
|
1940 |
+
"step": 233
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 26.0,
|
1944 |
+
"grad_norm": 273963.78125,
|
1945 |
+
"learning_rate": 2.6871841984382176e-07,
|
1946 |
+
"loss": 0.3802,
|
1947 |
+
"step": 234
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 26.0,
|
1951 |
+
"eval_accuracy": 0.8139641708773542,
|
1952 |
+
"eval_f1": 0.802823758519961,
|
1953 |
+
"eval_loss": 0.4044816493988037,
|
1954 |
+
"eval_precision": 0.8127156234598324,
|
1955 |
+
"eval_recall": 0.7931697931697932,
|
1956 |
+
"eval_runtime": 4.5407,
|
1957 |
+
"eval_samples_per_second": 958.89,
|
1958 |
+
"eval_steps_per_second": 0.661,
|
1959 |
+
"step": 234
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 26.11111111111111,
|
1963 |
+
"grad_norm": 191970.5,
|
1964 |
+
"learning_rate": 2.6986678915939367e-07,
|
1965 |
+
"loss": 0.3837,
|
1966 |
+
"step": 235
|
1967 |
+
},
|
1968 |
+
{
|
1969 |
+
"epoch": 26.22222222222222,
|
1970 |
+
"grad_norm": 53745.9453125,
|
1971 |
+
"learning_rate": 2.7101515847496553e-07,
|
1972 |
+
"loss": 0.3891,
|
1973 |
+
"step": 236
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 26.333333333333332,
|
1977 |
+
"grad_norm": 119084.453125,
|
1978 |
+
"learning_rate": 2.7216352779053744e-07,
|
1979 |
+
"loss": 0.382,
|
1980 |
+
"step": 237
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 26.444444444444443,
|
1984 |
+
"grad_norm": 54897.70703125,
|
1985 |
+
"learning_rate": 2.7331189710610936e-07,
|
1986 |
+
"loss": 0.4096,
|
1987 |
+
"step": 238
|
1988 |
+
},
|
1989 |
+
{
|
1990 |
+
"epoch": 26.555555555555557,
|
1991 |
+
"grad_norm": 61443.4375,
|
1992 |
+
"learning_rate": 2.744602664216812e-07,
|
1993 |
+
"loss": 0.4107,
|
1994 |
+
"step": 239
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 26.666666666666668,
|
1998 |
+
"grad_norm": 60475.47265625,
|
1999 |
+
"learning_rate": 2.756086357372531e-07,
|
2000 |
+
"loss": 0.4117,
|
2001 |
+
"step": 240
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 26.77777777777778,
|
2005 |
+
"grad_norm": 365218.84375,
|
2006 |
+
"learning_rate": 2.7675700505282504e-07,
|
2007 |
+
"loss": 0.4008,
|
2008 |
+
"step": 241
|
2009 |
+
},
|
2010 |
+
{
|
2011 |
+
"epoch": 26.88888888888889,
|
2012 |
+
"grad_norm": 66929.9453125,
|
2013 |
+
"learning_rate": 2.779053743683969e-07,
|
2014 |
+
"loss": 0.3931,
|
2015 |
+
"step": 242
|
2016 |
+
},
|
2017 |
+
{
|
2018 |
+
"epoch": 27.0,
|
2019 |
+
"grad_norm": 161915.15625,
|
2020 |
+
"learning_rate": 2.790537436839688e-07,
|
2021 |
+
"loss": 0.4034,
|
2022 |
+
"step": 243
|
2023 |
+
},
|
2024 |
+
{
|
2025 |
+
"epoch": 27.0,
|
2026 |
+
"eval_accuracy": 0.8139641708773542,
|
2027 |
+
"eval_f1": 0.8033025740650801,
|
2028 |
+
"eval_loss": 0.40431469678878784,
|
2029 |
+
"eval_precision": 0.8111819519372241,
|
2030 |
+
"eval_recall": 0.7955747955747956,
|
2031 |
+
"eval_runtime": 4.5527,
|
2032 |
+
"eval_samples_per_second": 956.365,
|
2033 |
+
"eval_steps_per_second": 0.659,
|
2034 |
+
"step": 243
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 27.11111111111111,
|
2038 |
+
"grad_norm": 125099.7890625,
|
2039 |
+
"learning_rate": 2.8020211299954067e-07,
|
2040 |
+
"loss": 0.4098,
|
2041 |
+
"step": 244
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"epoch": 27.22222222222222,
|
2045 |
+
"grad_norm": 129365.34375,
|
2046 |
+
"learning_rate": 2.813504823151126e-07,
|
2047 |
+
"loss": 0.384,
|
2048 |
+
"step": 245
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 27.333333333333332,
|
2052 |
+
"grad_norm": 76045.6953125,
|
2053 |
+
"learning_rate": 2.8249885163068444e-07,
|
2054 |
+
"loss": 0.3974,
|
2055 |
+
"step": 246
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 27.444444444444443,
|
2059 |
+
"grad_norm": 95814.2109375,
|
2060 |
+
"learning_rate": 2.8364722094625635e-07,
|
2061 |
+
"loss": 0.4016,
|
2062 |
+
"step": 247
|
2063 |
+
},
|
2064 |
+
{
|
2065 |
+
"epoch": 27.555555555555557,
|
2066 |
+
"grad_norm": 131993.0,
|
2067 |
+
"learning_rate": 2.847955902618282e-07,
|
2068 |
+
"loss": 0.3872,
|
2069 |
+
"step": 248
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 27.666666666666668,
|
2073 |
+
"grad_norm": 151341.3125,
|
2074 |
+
"learning_rate": 2.859439595774001e-07,
|
2075 |
+
"loss": 0.4272,
|
2076 |
+
"step": 249
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 27.77777777777778,
|
2080 |
+
"grad_norm": 74917.6796875,
|
2081 |
+
"learning_rate": 2.87092328892972e-07,
|
2082 |
+
"loss": 0.3899,
|
2083 |
+
"step": 250
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"epoch": 27.88888888888889,
|
2087 |
+
"grad_norm": 60322.203125,
|
2088 |
+
"learning_rate": 2.882406982085439e-07,
|
2089 |
+
"loss": 0.3942,
|
2090 |
+
"step": 251
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 28.0,
|
2094 |
+
"grad_norm": 174080.96875,
|
2095 |
+
"learning_rate": 2.8938906752411575e-07,
|
2096 |
+
"loss": 0.3687,
|
2097 |
+
"step": 252
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 28.0,
|
2101 |
+
"eval_accuracy": 0.8135048231511254,
|
2102 |
+
"eval_f1": 0.8031037827352085,
|
2103 |
+
"eval_loss": 0.40424075722694397,
|
2104 |
+
"eval_precision": 0.8097799511002445,
|
2105 |
+
"eval_recall": 0.7965367965367965,
|
2106 |
+
"eval_runtime": 4.5972,
|
2107 |
+
"eval_samples_per_second": 947.097,
|
2108 |
+
"eval_steps_per_second": 0.653,
|
2109 |
+
"step": 252
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 28.11111111111111,
|
2113 |
+
"grad_norm": 74456.140625,
|
2114 |
+
"learning_rate": 2.9053743683968766e-07,
|
2115 |
+
"loss": 0.4021,
|
2116 |
+
"step": 253
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 28.22222222222222,
|
2120 |
+
"grad_norm": 67092.3671875,
|
2121 |
+
"learning_rate": 2.9168580615525957e-07,
|
2122 |
+
"loss": 0.3933,
|
2123 |
+
"step": 254
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 28.333333333333332,
|
2127 |
+
"grad_norm": 53798.96875,
|
2128 |
+
"learning_rate": 2.9283417547083143e-07,
|
2129 |
+
"loss": 0.3938,
|
2130 |
+
"step": 255
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 28.444444444444443,
|
2134 |
+
"grad_norm": 82221.28125,
|
2135 |
+
"learning_rate": 2.9398254478640334e-07,
|
2136 |
+
"loss": 0.3966,
|
2137 |
+
"step": 256
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 28.555555555555557,
|
2141 |
+
"grad_norm": 99482.171875,
|
2142 |
+
"learning_rate": 2.951309141019752e-07,
|
2143 |
+
"loss": 0.4029,
|
2144 |
+
"step": 257
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 28.666666666666668,
|
2148 |
+
"grad_norm": 99727.8203125,
|
2149 |
+
"learning_rate": 2.962792834175471e-07,
|
2150 |
+
"loss": 0.3999,
|
2151 |
+
"step": 258
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 28.77777777777778,
|
2155 |
+
"grad_norm": 97492.7890625,
|
2156 |
+
"learning_rate": 2.9742765273311897e-07,
|
2157 |
+
"loss": 0.3852,
|
2158 |
+
"step": 259
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 28.88888888888889,
|
2162 |
+
"grad_norm": 142282.453125,
|
2163 |
+
"learning_rate": 2.985760220486909e-07,
|
2164 |
+
"loss": 0.4204,
|
2165 |
+
"step": 260
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 29.0,
|
2169 |
+
"grad_norm": 68024.1640625,
|
2170 |
+
"learning_rate": 2.9972439136426274e-07,
|
2171 |
+
"loss": 0.4046,
|
2172 |
+
"step": 261
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 29.0,
|
2176 |
+
"eval_accuracy": 0.8139641708773542,
|
2177 |
+
"eval_f1": 0.8035887487875849,
|
2178 |
+
"eval_loss": 0.40411704778671265,
|
2179 |
+
"eval_precision": 0.8102689486552567,
|
2180 |
+
"eval_recall": 0.7970177970177971,
|
2181 |
+
"eval_runtime": 4.6334,
|
2182 |
+
"eval_samples_per_second": 939.7,
|
2183 |
+
"eval_steps_per_second": 0.647,
|
2184 |
+
"step": 261
|
2185 |
+
},
|
2186 |
+
{
|
2187 |
+
"epoch": 29.11111111111111,
|
2188 |
+
"grad_norm": 130296.609375,
|
2189 |
+
"learning_rate": 3.0087276067983465e-07,
|
2190 |
+
"loss": 0.4018,
|
2191 |
+
"step": 262
|
2192 |
+
},
|
2193 |
+
{
|
2194 |
+
"epoch": 29.22222222222222,
|
2195 |
+
"grad_norm": 138968.453125,
|
2196 |
+
"learning_rate": 3.020211299954065e-07,
|
2197 |
+
"loss": 0.3902,
|
2198 |
+
"step": 263
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 29.333333333333332,
|
2202 |
+
"grad_norm": 179395.015625,
|
2203 |
+
"learning_rate": 3.031694993109784e-07,
|
2204 |
+
"loss": 0.4034,
|
2205 |
+
"step": 264
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 29.444444444444443,
|
2209 |
+
"grad_norm": 128004.46875,
|
2210 |
+
"learning_rate": 3.043178686265503e-07,
|
2211 |
+
"loss": 0.4124,
|
2212 |
+
"step": 265
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 29.555555555555557,
|
2216 |
+
"grad_norm": 52466.47265625,
|
2217 |
+
"learning_rate": 3.054662379421222e-07,
|
2218 |
+
"loss": 0.3917,
|
2219 |
+
"step": 266
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 29.666666666666668,
|
2223 |
+
"grad_norm": 71274.9765625,
|
2224 |
+
"learning_rate": 3.0661460725769405e-07,
|
2225 |
+
"loss": 0.4164,
|
2226 |
+
"step": 267
|
2227 |
+
},
|
2228 |
+
{
|
2229 |
+
"epoch": 29.77777777777778,
|
2230 |
+
"grad_norm": 92328.015625,
|
2231 |
+
"learning_rate": 3.0776297657326596e-07,
|
2232 |
+
"loss": 0.3953,
|
2233 |
+
"step": 268
|
2234 |
+
},
|
2235 |
+
{
|
2236 |
+
"epoch": 29.88888888888889,
|
2237 |
+
"grad_norm": 137363.90625,
|
2238 |
+
"learning_rate": 3.089113458888379e-07,
|
2239 |
+
"loss": 0.3776,
|
2240 |
+
"step": 269
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 30.0,
|
2244 |
+
"grad_norm": 103414.34375,
|
2245 |
+
"learning_rate": 3.1005971520440973e-07,
|
2246 |
+
"loss": 0.3923,
|
2247 |
+
"step": 270
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 30.0,
|
2251 |
+
"eval_accuracy": 0.8153422140560405,
|
2252 |
+
"eval_f1": 0.805703238279362,
|
2253 |
+
"eval_loss": 0.4040597975254059,
|
2254 |
+
"eval_precision": 0.8096163186012627,
|
2255 |
+
"eval_recall": 0.8018278018278018,
|
2256 |
+
"eval_runtime": 5.5187,
|
2257 |
+
"eval_samples_per_second": 788.953,
|
2258 |
+
"eval_steps_per_second": 0.544,
|
2259 |
+
"step": 270
|
2260 |
+
},
|
2261 |
+
{
|
2262 |
+
"epoch": 30.11111111111111,
|
2263 |
+
"grad_norm": 61169.80078125,
|
2264 |
+
"learning_rate": 3.1120808451998164e-07,
|
2265 |
+
"loss": 0.4052,
|
2266 |
+
"step": 271
|
2267 |
+
},
|
2268 |
+
{
|
2269 |
+
"epoch": 30.22222222222222,
|
2270 |
+
"grad_norm": 58287.30859375,
|
2271 |
+
"learning_rate": 3.1235645383555356e-07,
|
2272 |
+
"loss": 0.4189,
|
2273 |
+
"step": 272
|
2274 |
+
},
|
2275 |
+
{
|
2276 |
+
"epoch": 30.333333333333332,
|
2277 |
+
"grad_norm": 130690.0078125,
|
2278 |
+
"learning_rate": 3.135048231511254e-07,
|
2279 |
+
"loss": 0.3915,
|
2280 |
+
"step": 273
|
2281 |
+
},
|
2282 |
+
{
|
2283 |
+
"epoch": 30.444444444444443,
|
2284 |
+
"grad_norm": 78648.6953125,
|
2285 |
+
"learning_rate": 3.1465319246669733e-07,
|
2286 |
+
"loss": 0.393,
|
2287 |
+
"step": 274
|
2288 |
+
},
|
2289 |
+
{
|
2290 |
+
"epoch": 30.555555555555557,
|
2291 |
+
"grad_norm": 208475.90625,
|
2292 |
+
"learning_rate": 3.158015617822692e-07,
|
2293 |
+
"loss": 0.3973,
|
2294 |
+
"step": 275
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 30.666666666666668,
|
2298 |
+
"grad_norm": 87458.609375,
|
2299 |
+
"learning_rate": 3.169499310978411e-07,
|
2300 |
+
"loss": 0.3835,
|
2301 |
+
"step": 276
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 30.77777777777778,
|
2305 |
+
"grad_norm": 77466.1640625,
|
2306 |
+
"learning_rate": 3.18098300413413e-07,
|
2307 |
+
"loss": 0.402,
|
2308 |
+
"step": 277
|
2309 |
+
},
|
2310 |
+
{
|
2311 |
+
"epoch": 30.88888888888889,
|
2312 |
+
"grad_norm": 359230.78125,
|
2313 |
+
"learning_rate": 3.1924666972898487e-07,
|
2314 |
+
"loss": 0.3877,
|
2315 |
+
"step": 278
|
2316 |
+
},
|
2317 |
+
{
|
2318 |
+
"epoch": 31.0,
|
2319 |
+
"grad_norm": 199919.71875,
|
2320 |
+
"learning_rate": 3.203950390445568e-07,
|
2321 |
+
"loss": 0.4064,
|
2322 |
+
"step": 279
|
2323 |
+
},
|
2324 |
+
{
|
2325 |
+
"epoch": 31.0,
|
2326 |
+
"eval_accuracy": 0.815112540192926,
|
2327 |
+
"eval_f1": 0.8052262279216066,
|
2328 |
+
"eval_loss": 0.4039256274700165,
|
2329 |
+
"eval_precision": 0.810126582278481,
|
2330 |
+
"eval_recall": 0.8003848003848004,
|
2331 |
+
"eval_runtime": 4.7082,
|
2332 |
+
"eval_samples_per_second": 924.771,
|
2333 |
+
"eval_steps_per_second": 0.637,
|
2334 |
+
"step": 279
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 31.11111111111111,
|
2338 |
+
"grad_norm": 73082.28125,
|
2339 |
+
"learning_rate": 3.2154340836012864e-07,
|
2340 |
+
"loss": 0.3972,
|
2341 |
+
"step": 280
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 31.22222222222222,
|
2345 |
+
"grad_norm": 77317.6640625,
|
2346 |
+
"learning_rate": 3.2269177767570055e-07,
|
2347 |
+
"loss": 0.4033,
|
2348 |
+
"step": 281
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 31.333333333333332,
|
2352 |
+
"grad_norm": 139156.5625,
|
2353 |
+
"learning_rate": 3.238401469912724e-07,
|
2354 |
+
"loss": 0.4,
|
2355 |
+
"step": 282
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 31.444444444444443,
|
2359 |
+
"grad_norm": 70580.640625,
|
2360 |
+
"learning_rate": 3.249885163068443e-07,
|
2361 |
+
"loss": 0.3989,
|
2362 |
+
"step": 283
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 31.555555555555557,
|
2366 |
+
"grad_norm": 261587.0625,
|
2367 |
+
"learning_rate": 3.261368856224162e-07,
|
2368 |
+
"loss": 0.3851,
|
2369 |
+
"step": 284
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 31.666666666666668,
|
2373 |
+
"grad_norm": 108566.5859375,
|
2374 |
+
"learning_rate": 3.272852549379881e-07,
|
2375 |
+
"loss": 0.4106,
|
2376 |
+
"step": 285
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 31.77777777777778,
|
2380 |
+
"grad_norm": 152543.453125,
|
2381 |
+
"learning_rate": 3.2843362425355995e-07,
|
2382 |
+
"loss": 0.4042,
|
2383 |
+
"step": 286
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 31.88888888888889,
|
2387 |
+
"grad_norm": 69462.53125,
|
2388 |
+
"learning_rate": 3.2958199356913186e-07,
|
2389 |
+
"loss": 0.3991,
|
2390 |
+
"step": 287
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 32.0,
|
2394 |
+
"grad_norm": 251283.9375,
|
2395 |
+
"learning_rate": 3.307303628847037e-07,
|
2396 |
+
"loss": 0.3866,
|
2397 |
+
"step": 288
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 32.0,
|
2401 |
+
"eval_accuracy": 0.8144235186035829,
|
2402 |
+
"eval_f1": 0.803022915650902,
|
2403 |
+
"eval_loss": 0.40380600094795227,
|
2404 |
+
"eval_precision": 0.8141374196737519,
|
2405 |
+
"eval_recall": 0.7922077922077922,
|
2406 |
+
"eval_runtime": 4.7491,
|
2407 |
+
"eval_samples_per_second": 916.813,
|
2408 |
+
"eval_steps_per_second": 0.632,
|
2409 |
+
"step": 288
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 32.111111111111114,
|
2413 |
+
"grad_norm": 137076.40625,
|
2414 |
+
"learning_rate": 3.3187873220027563e-07,
|
2415 |
+
"loss": 0.4108,
|
2416 |
+
"step": 289
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 32.22222222222222,
|
2420 |
+
"grad_norm": 93470.3203125,
|
2421 |
+
"learning_rate": 3.330271015158475e-07,
|
2422 |
+
"loss": 0.3773,
|
2423 |
+
"step": 290
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 32.333333333333336,
|
2427 |
+
"grad_norm": 112162.03125,
|
2428 |
+
"learning_rate": 3.341754708314194e-07,
|
2429 |
+
"loss": 0.4037,
|
2430 |
+
"step": 291
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 32.44444444444444,
|
2434 |
+
"grad_norm": 100211.0,
|
2435 |
+
"learning_rate": 3.3532384014699126e-07,
|
2436 |
+
"loss": 0.3674,
|
2437 |
+
"step": 292
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 32.55555555555556,
|
2441 |
+
"grad_norm": 151129.640625,
|
2442 |
+
"learning_rate": 3.3647220946256317e-07,
|
2443 |
+
"loss": 0.3921,
|
2444 |
+
"step": 293
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 32.666666666666664,
|
2448 |
+
"grad_norm": 70404.953125,
|
2449 |
+
"learning_rate": 3.3762057877813503e-07,
|
2450 |
+
"loss": 0.3959,
|
2451 |
+
"step": 294
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 32.77777777777778,
|
2455 |
+
"grad_norm": 63373.8515625,
|
2456 |
+
"learning_rate": 3.3876894809370694e-07,
|
2457 |
+
"loss": 0.4045,
|
2458 |
+
"step": 295
|
2459 |
+
},
|
2460 |
+
{
|
2461 |
+
"epoch": 32.888888888888886,
|
2462 |
+
"grad_norm": 311372.9375,
|
2463 |
+
"learning_rate": 3.399173174092788e-07,
|
2464 |
+
"loss": 0.4015,
|
2465 |
+
"step": 296
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 33.0,
|
2469 |
+
"grad_norm": 202328.421875,
|
2470 |
+
"learning_rate": 3.410656867248507e-07,
|
2471 |
+
"loss": 0.3996,
|
2472 |
+
"step": 297
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 33.0,
|
2476 |
+
"eval_accuracy": 0.8158015617822691,
|
2477 |
+
"eval_f1": 0.8063737324963786,
|
2478 |
+
"eval_loss": 0.40382614731788635,
|
2479 |
+
"eval_precision": 0.8095007270964615,
|
2480 |
+
"eval_recall": 0.8032708032708032,
|
2481 |
+
"eval_runtime": 4.7927,
|
2482 |
+
"eval_samples_per_second": 908.458,
|
2483 |
+
"eval_steps_per_second": 0.626,
|
2484 |
+
"step": 297
|
2485 |
+
},
|
2486 |
+
{
|
2487 |
+
"epoch": 33.111111111111114,
|
2488 |
+
"grad_norm": 133244.21875,
|
2489 |
+
"learning_rate": 3.4221405604042257e-07,
|
2490 |
+
"loss": 0.4102,
|
2491 |
+
"step": 298
|
2492 |
+
},
|
2493 |
+
{
|
2494 |
+
"epoch": 33.22222222222222,
|
2495 |
+
"grad_norm": 212747.078125,
|
2496 |
+
"learning_rate": 3.433624253559945e-07,
|
2497 |
+
"loss": 0.4053,
|
2498 |
+
"step": 299
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 33.333333333333336,
|
2502 |
+
"grad_norm": 158348.46875,
|
2503 |
+
"learning_rate": 3.445107946715664e-07,
|
2504 |
+
"loss": 0.3743,
|
2505 |
+
"step": 300
|
2506 |
+
},
|
2507 |
+
{
|
2508 |
+
"epoch": 33.44444444444444,
|
2509 |
+
"grad_norm": 157230.78125,
|
2510 |
+
"learning_rate": 3.4565916398713825e-07,
|
2511 |
+
"loss": 0.4139,
|
2512 |
+
"step": 301
|
2513 |
+
},
|
2514 |
+
{
|
2515 |
+
"epoch": 33.55555555555556,
|
2516 |
+
"grad_norm": 127684.703125,
|
2517 |
+
"learning_rate": 3.4680753330271016e-07,
|
2518 |
+
"loss": 0.406,
|
2519 |
+
"step": 302
|
2520 |
+
},
|
2521 |
+
{
|
2522 |
+
"epoch": 33.666666666666664,
|
2523 |
+
"grad_norm": 103921.953125,
|
2524 |
+
"learning_rate": 3.479559026182821e-07,
|
2525 |
+
"loss": 0.3903,
|
2526 |
+
"step": 303
|
2527 |
+
},
|
2528 |
+
{
|
2529 |
+
"epoch": 33.77777777777778,
|
2530 |
+
"grad_norm": 100353.8828125,
|
2531 |
+
"learning_rate": 3.49104271933854e-07,
|
2532 |
+
"loss": 0.3976,
|
2533 |
+
"step": 304
|
2534 |
+
},
|
2535 |
+
{
|
2536 |
+
"epoch": 33.888888888888886,
|
2537 |
+
"grad_norm": 243526.859375,
|
2538 |
+
"learning_rate": 3.5025264124942585e-07,
|
2539 |
+
"loss": 0.4017,
|
2540 |
+
"step": 305
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 34.0,
|
2544 |
+
"grad_norm": 158435.421875,
|
2545 |
+
"learning_rate": 3.5140101056499776e-07,
|
2546 |
+
"loss": 0.3909,
|
2547 |
+
"step": 306
|
2548 |
+
},
|
2549 |
+
{
|
2550 |
+
"epoch": 34.0,
|
2551 |
+
"eval_accuracy": 0.815112540192926,
|
2552 |
+
"eval_f1": 0.8052262279216066,
|
2553 |
+
"eval_loss": 0.40362977981567383,
|
2554 |
+
"eval_precision": 0.810126582278481,
|
2555 |
+
"eval_recall": 0.8003848003848004,
|
2556 |
+
"eval_runtime": 4.7975,
|
2557 |
+
"eval_samples_per_second": 907.551,
|
2558 |
+
"eval_steps_per_second": 0.625,
|
2559 |
+
"step": 306
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 34.111111111111114,
|
2563 |
+
"grad_norm": 100413.4609375,
|
2564 |
+
"learning_rate": 3.525493798805696e-07,
|
2565 |
+
"loss": 0.3933,
|
2566 |
+
"step": 307
|
2567 |
+
},
|
2568 |
+
{
|
2569 |
+
"epoch": 34.22222222222222,
|
2570 |
+
"grad_norm": 150620.953125,
|
2571 |
+
"learning_rate": 3.5369774919614153e-07,
|
2572 |
+
"loss": 0.4032,
|
2573 |
+
"step": 308
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"epoch": 34.333333333333336,
|
2577 |
+
"grad_norm": 78366.6328125,
|
2578 |
+
"learning_rate": 3.548461185117134e-07,
|
2579 |
+
"loss": 0.422,
|
2580 |
+
"step": 309
|
2581 |
+
},
|
2582 |
+
{
|
2583 |
+
"epoch": 34.44444444444444,
|
2584 |
+
"grad_norm": 116747.1875,
|
2585 |
+
"learning_rate": 3.559944878272853e-07,
|
2586 |
+
"loss": 0.4149,
|
2587 |
+
"step": 310
|
2588 |
+
},
|
2589 |
+
{
|
2590 |
+
"epoch": 34.55555555555556,
|
2591 |
+
"grad_norm": 127114.5078125,
|
2592 |
+
"learning_rate": 3.5714285714285716e-07,
|
2593 |
+
"loss": 0.3926,
|
2594 |
+
"step": 311
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 34.666666666666664,
|
2598 |
+
"grad_norm": 156098.375,
|
2599 |
+
"learning_rate": 3.5829122645842907e-07,
|
2600 |
+
"loss": 0.3817,
|
2601 |
+
"step": 312
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 34.77777777777778,
|
2605 |
+
"grad_norm": 83805.4765625,
|
2606 |
+
"learning_rate": 3.5943959577400093e-07,
|
2607 |
+
"loss": 0.385,
|
2608 |
+
"step": 313
|
2609 |
+
},
|
2610 |
+
{
|
2611 |
+
"epoch": 34.888888888888886,
|
2612 |
+
"grad_norm": 71467.9375,
|
2613 |
+
"learning_rate": 3.6058796508957284e-07,
|
2614 |
+
"loss": 0.3905,
|
2615 |
+
"step": 314
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 35.0,
|
2619 |
+
"grad_norm": 124766.5625,
|
2620 |
+
"learning_rate": 3.617363344051447e-07,
|
2621 |
+
"loss": 0.3737,
|
2622 |
+
"step": 315
|
2623 |
+
},
|
2624 |
+
{
|
2625 |
+
"epoch": 35.0,
|
2626 |
+
"eval_accuracy": 0.8139641708773542,
|
2627 |
+
"eval_f1": 0.802439024390244,
|
2628 |
+
"eval_loss": 0.40355560183525085,
|
2629 |
+
"eval_precision": 0.813953488372093,
|
2630 |
+
"eval_recall": 0.7912457912457912,
|
2631 |
+
"eval_runtime": 4.8433,
|
2632 |
+
"eval_samples_per_second": 898.973,
|
2633 |
+
"eval_steps_per_second": 0.619,
|
2634 |
+
"step": 315
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 35.111111111111114,
|
2638 |
+
"grad_norm": 144598.78125,
|
2639 |
+
"learning_rate": 3.628847037207166e-07,
|
2640 |
+
"loss": 0.3868,
|
2641 |
+
"step": 316
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 35.22222222222222,
|
2645 |
+
"grad_norm": 148750.015625,
|
2646 |
+
"learning_rate": 3.6403307303628847e-07,
|
2647 |
+
"loss": 0.3853,
|
2648 |
+
"step": 317
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 35.333333333333336,
|
2652 |
+
"grad_norm": 214067.65625,
|
2653 |
+
"learning_rate": 3.651814423518604e-07,
|
2654 |
+
"loss": 0.3995,
|
2655 |
+
"step": 318
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 35.44444444444444,
|
2659 |
+
"grad_norm": 116985.1484375,
|
2660 |
+
"learning_rate": 3.6632981166743224e-07,
|
2661 |
+
"loss": 0.3914,
|
2662 |
+
"step": 319
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 35.55555555555556,
|
2666 |
+
"grad_norm": 214030.203125,
|
2667 |
+
"learning_rate": 3.6747818098300415e-07,
|
2668 |
+
"loss": 0.4258,
|
2669 |
+
"step": 320
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 35.666666666666664,
|
2673 |
+
"grad_norm": 135642.34375,
|
2674 |
+
"learning_rate": 3.68626550298576e-07,
|
2675 |
+
"loss": 0.4242,
|
2676 |
+
"step": 321
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 35.77777777777778,
|
2680 |
+
"grad_norm": 312180.5,
|
2681 |
+
"learning_rate": 3.697749196141479e-07,
|
2682 |
+
"loss": 0.3784,
|
2683 |
+
"step": 322
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 35.888888888888886,
|
2687 |
+
"grad_norm": 98129.53125,
|
2688 |
+
"learning_rate": 3.7092328892971983e-07,
|
2689 |
+
"loss": 0.4089,
|
2690 |
+
"step": 323
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 36.0,
|
2694 |
+
"grad_norm": 576705.5625,
|
2695 |
+
"learning_rate": 3.720716582452917e-07,
|
2696 |
+
"loss": 0.3819,
|
2697 |
+
"step": 324
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 36.0,
|
2701 |
+
"eval_accuracy": 0.8146531924666973,
|
2702 |
+
"eval_f1": 0.804553160571567,
|
2703 |
+
"eval_loss": 0.40337246656417847,
|
2704 |
+
"eval_precision": 0.8102439024390244,
|
2705 |
+
"eval_recall": 0.798941798941799,
|
2706 |
+
"eval_runtime": 4.8778,
|
2707 |
+
"eval_samples_per_second": 892.62,
|
2708 |
+
"eval_steps_per_second": 0.615,
|
2709 |
+
"step": 324
|
2710 |
+
},
|
2711 |
+
{
|
2712 |
+
"epoch": 36.111111111111114,
|
2713 |
+
"grad_norm": 60154.80859375,
|
2714 |
+
"learning_rate": 3.732200275608636e-07,
|
2715 |
+
"loss": 0.3863,
|
2716 |
+
"step": 325
|
2717 |
+
},
|
2718 |
+
{
|
2719 |
+
"epoch": 36.22222222222222,
|
2720 |
+
"grad_norm": 172251.390625,
|
2721 |
+
"learning_rate": 3.7436839687643546e-07,
|
2722 |
+
"loss": 0.4075,
|
2723 |
+
"step": 326
|
2724 |
+
},
|
2725 |
+
{
|
2726 |
+
"epoch": 36.333333333333336,
|
2727 |
+
"grad_norm": 138052.640625,
|
2728 |
+
"learning_rate": 3.7551676619200737e-07,
|
2729 |
+
"loss": 0.3931,
|
2730 |
+
"step": 327
|
2731 |
+
},
|
2732 |
+
{
|
2733 |
+
"epoch": 36.44444444444444,
|
2734 |
+
"grad_norm": 90786.671875,
|
2735 |
+
"learning_rate": 3.7666513550757923e-07,
|
2736 |
+
"loss": 0.4035,
|
2737 |
+
"step": 328
|
2738 |
+
},
|
2739 |
+
{
|
2740 |
+
"epoch": 36.55555555555556,
|
2741 |
+
"grad_norm": 302897.8125,
|
2742 |
+
"learning_rate": 3.7781350482315114e-07,
|
2743 |
+
"loss": 0.3998,
|
2744 |
+
"step": 329
|
2745 |
+
},
|
2746 |
+
{
|
2747 |
+
"epoch": 36.666666666666664,
|
2748 |
+
"grad_norm": 68080.4765625,
|
2749 |
+
"learning_rate": 3.78961874138723e-07,
|
2750 |
+
"loss": 0.3975,
|
2751 |
+
"step": 330
|
2752 |
+
},
|
2753 |
+
{
|
2754 |
+
"epoch": 36.77777777777778,
|
2755 |
+
"grad_norm": 77021.703125,
|
2756 |
+
"learning_rate": 3.801102434542949e-07,
|
2757 |
+
"loss": 0.3808,
|
2758 |
+
"step": 331
|
2759 |
+
},
|
2760 |
+
{
|
2761 |
+
"epoch": 36.888888888888886,
|
2762 |
+
"grad_norm": 167419.8125,
|
2763 |
+
"learning_rate": 3.812586127698668e-07,
|
2764 |
+
"loss": 0.4127,
|
2765 |
+
"step": 332
|
2766 |
+
},
|
2767 |
+
{
|
2768 |
+
"epoch": 37.0,
|
2769 |
+
"grad_norm": 214871.546875,
|
2770 |
+
"learning_rate": 3.824069820854387e-07,
|
2771 |
+
"loss": 0.3832,
|
2772 |
+
"step": 333
|
2773 |
+
},
|
2774 |
+
{
|
2775 |
+
"epoch": 37.0,
|
2776 |
+
"eval_accuracy": 0.8158015617822691,
|
2777 |
+
"eval_f1": 0.8067469879518072,
|
2778 |
+
"eval_loss": 0.40353327989578247,
|
2779 |
+
"eval_precision": 0.8083051665861902,
|
2780 |
+
"eval_recall": 0.8051948051948052,
|
2781 |
+
"eval_runtime": 5.3516,
|
2782 |
+
"eval_samples_per_second": 813.587,
|
2783 |
+
"eval_steps_per_second": 0.561,
|
2784 |
+
"step": 333
|
2785 |
+
},
|
2786 |
+
{
|
2787 |
+
"epoch": 37.111111111111114,
|
2788 |
+
"grad_norm": 93671.765625,
|
2789 |
+
"learning_rate": 3.835553514010106e-07,
|
2790 |
+
"loss": 0.3822,
|
2791 |
+
"step": 334
|
2792 |
+
},
|
2793 |
+
{
|
2794 |
+
"epoch": 37.22222222222222,
|
2795 |
+
"grad_norm": 174590.234375,
|
2796 |
+
"learning_rate": 3.847037207165825e-07,
|
2797 |
+
"loss": 0.4036,
|
2798 |
+
"step": 335
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 37.333333333333336,
|
2802 |
+
"grad_norm": 103448.203125,
|
2803 |
+
"learning_rate": 3.8585209003215437e-07,
|
2804 |
+
"loss": 0.3843,
|
2805 |
+
"step": 336
|
2806 |
+
},
|
2807 |
+
{
|
2808 |
+
"epoch": 37.44444444444444,
|
2809 |
+
"grad_norm": 85651.0546875,
|
2810 |
+
"learning_rate": 3.870004593477263e-07,
|
2811 |
+
"loss": 0.4012,
|
2812 |
+
"step": 337
|
2813 |
+
},
|
2814 |
+
{
|
2815 |
+
"epoch": 37.55555555555556,
|
2816 |
+
"grad_norm": 104460.265625,
|
2817 |
+
"learning_rate": 3.8814882866329814e-07,
|
2818 |
+
"loss": 0.4183,
|
2819 |
+
"step": 338
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 37.666666666666664,
|
2823 |
+
"grad_norm": 88310.65625,
|
2824 |
+
"learning_rate": 3.8929719797887005e-07,
|
2825 |
+
"loss": 0.4154,
|
2826 |
+
"step": 339
|
2827 |
+
},
|
2828 |
+
{
|
2829 |
+
"epoch": 37.77777777777778,
|
2830 |
+
"grad_norm": 103495.4375,
|
2831 |
+
"learning_rate": 3.904455672944419e-07,
|
2832 |
+
"loss": 0.387,
|
2833 |
+
"step": 340
|
2834 |
+
},
|
2835 |
+
{
|
2836 |
+
"epoch": 37.888888888888886,
|
2837 |
+
"grad_norm": 103231.75,
|
2838 |
+
"learning_rate": 3.9159393661001376e-07,
|
2839 |
+
"loss": 0.3945,
|
2840 |
+
"step": 341
|
2841 |
+
},
|
2842 |
+
{
|
2843 |
+
"epoch": 38.0,
|
2844 |
+
"grad_norm": 168905.34375,
|
2845 |
+
"learning_rate": 3.927423059255857e-07,
|
2846 |
+
"loss": 0.3614,
|
2847 |
+
"step": 342
|
2848 |
+
},
|
2849 |
+
{
|
2850 |
+
"epoch": 38.0,
|
2851 |
+
"eval_accuracy": 0.8144235186035829,
|
2852 |
+
"eval_f1": 0.802638006839277,
|
2853 |
+
"eval_loss": 0.4033564627170563,
|
2854 |
+
"eval_precision": 0.8153846153846154,
|
2855 |
+
"eval_recall": 0.7902837902837903,
|
2856 |
+
"eval_runtime": 4.97,
|
2857 |
+
"eval_samples_per_second": 876.054,
|
2858 |
+
"eval_steps_per_second": 0.604,
|
2859 |
+
"step": 342
|
2860 |
+
},
|
2861 |
+
{
|
2862 |
+
"epoch": 38.111111111111114,
|
2863 |
+
"grad_norm": 189091.21875,
|
2864 |
+
"learning_rate": 3.938906752411576e-07,
|
2865 |
+
"loss": 0.3928,
|
2866 |
+
"step": 343
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 38.22222222222222,
|
2870 |
+
"grad_norm": 92536.6875,
|
2871 |
+
"learning_rate": 3.950390445567295e-07,
|
2872 |
+
"loss": 0.405,
|
2873 |
+
"step": 344
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 38.333333333333336,
|
2877 |
+
"grad_norm": 218180.59375,
|
2878 |
+
"learning_rate": 3.961874138723013e-07,
|
2879 |
+
"loss": 0.3978,
|
2880 |
+
"step": 345
|
2881 |
+
},
|
2882 |
+
{
|
2883 |
+
"epoch": 38.44444444444444,
|
2884 |
+
"grad_norm": 94875.9765625,
|
2885 |
+
"learning_rate": 3.973357831878732e-07,
|
2886 |
+
"loss": 0.4052,
|
2887 |
+
"step": 346
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 38.55555555555556,
|
2891 |
+
"grad_norm": 178712.5,
|
2892 |
+
"learning_rate": 3.9848415250344513e-07,
|
2893 |
+
"loss": 0.3984,
|
2894 |
+
"step": 347
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 38.666666666666664,
|
2898 |
+
"grad_norm": 173569.21875,
|
2899 |
+
"learning_rate": 3.9963252181901704e-07,
|
2900 |
+
"loss": 0.3975,
|
2901 |
+
"step": 348
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 38.77777777777778,
|
2905 |
+
"grad_norm": 251874.828125,
|
2906 |
+
"learning_rate": 4.0078089113458895e-07,
|
2907 |
+
"loss": 0.4289,
|
2908 |
+
"step": 349
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"epoch": 38.888888888888886,
|
2912 |
+
"grad_norm": 160366.84375,
|
2913 |
+
"learning_rate": 4.0192926045016076e-07,
|
2914 |
+
"loss": 0.3857,
|
2915 |
+
"step": 350
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 39.0,
|
2919 |
+
"grad_norm": 186624.96875,
|
2920 |
+
"learning_rate": 4.0307762976573267e-07,
|
2921 |
+
"loss": 0.3968,
|
2922 |
+
"step": 351
|
2923 |
+
},
|
2924 |
+
{
|
2925 |
+
"epoch": 39.0,
|
2926 |
+
"eval_accuracy": 0.8144235186035829,
|
2927 |
+
"eval_f1": 0.8035974720466699,
|
2928 |
+
"eval_loss": 0.4032462537288666,
|
2929 |
+
"eval_precision": 0.8122850122850123,
|
2930 |
+
"eval_recall": 0.7950937950937951,
|
2931 |
+
"eval_runtime": 4.9901,
|
2932 |
+
"eval_samples_per_second": 872.532,
|
2933 |
+
"eval_steps_per_second": 0.601,
|
2934 |
+
"step": 351
|
2935 |
+
},
|
2936 |
+
{
|
2937 |
+
"epoch": 39.111111111111114,
|
2938 |
+
"grad_norm": 84011.5703125,
|
2939 |
+
"learning_rate": 4.042259990813046e-07,
|
2940 |
+
"loss": 0.3985,
|
2941 |
+
"step": 352
|
2942 |
+
},
|
2943 |
+
{
|
2944 |
+
"epoch": 39.22222222222222,
|
2945 |
+
"grad_norm": 45853.99609375,
|
2946 |
+
"learning_rate": 4.053743683968765e-07,
|
2947 |
+
"loss": 0.3948,
|
2948 |
+
"step": 353
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 39.333333333333336,
|
2952 |
+
"grad_norm": 71303.7109375,
|
2953 |
+
"learning_rate": 4.065227377124483e-07,
|
2954 |
+
"loss": 0.4027,
|
2955 |
+
"step": 354
|
2956 |
+
},
|
2957 |
+
{
|
2958 |
+
"epoch": 39.44444444444444,
|
2959 |
+
"grad_norm": 116944.75,
|
2960 |
+
"learning_rate": 4.076711070280202e-07,
|
2961 |
+
"loss": 0.4141,
|
2962 |
+
"step": 355
|
2963 |
+
},
|
2964 |
+
{
|
2965 |
+
"epoch": 39.55555555555556,
|
2966 |
+
"grad_norm": 168545.234375,
|
2967 |
+
"learning_rate": 4.088194763435921e-07,
|
2968 |
+
"loss": 0.4021,
|
2969 |
+
"step": 356
|
2970 |
+
},
|
2971 |
+
{
|
2972 |
+
"epoch": 39.666666666666664,
|
2973 |
+
"grad_norm": 163324.765625,
|
2974 |
+
"learning_rate": 4.0996784565916403e-07,
|
2975 |
+
"loss": 0.3955,
|
2976 |
+
"step": 357
|
2977 |
+
},
|
2978 |
+
{
|
2979 |
+
"epoch": 39.77777777777778,
|
2980 |
+
"grad_norm": 77927.3046875,
|
2981 |
+
"learning_rate": 4.1111621497473584e-07,
|
2982 |
+
"loss": 0.3784,
|
2983 |
+
"step": 358
|
2984 |
+
},
|
2985 |
+
{
|
2986 |
+
"epoch": 39.888888888888886,
|
2987 |
+
"grad_norm": 190481.09375,
|
2988 |
+
"learning_rate": 4.1226458429030775e-07,
|
2989 |
+
"loss": 0.3918,
|
2990 |
+
"step": 359
|
2991 |
+
},
|
2992 |
+
{
|
2993 |
+
"epoch": 40.0,
|
2994 |
+
"grad_norm": 201354.09375,
|
2995 |
+
"learning_rate": 4.1341295360587966e-07,
|
2996 |
+
"loss": 0.381,
|
2997 |
+
"step": 360
|
2998 |
+
},
|
2999 |
+
{
|
3000 |
+
"epoch": 40.0,
|
3001 |
+
"eval_accuracy": 0.8155718879191548,
|
3002 |
+
"eval_f1": 0.8058979937152526,
|
3003 |
+
"eval_loss": 0.4031665623188019,
|
3004 |
+
"eval_precision": 0.8100097181729835,
|
3005 |
+
"eval_recall": 0.8018278018278018,
|
3006 |
+
"eval_runtime": 5.0443,
|
3007 |
+
"eval_samples_per_second": 863.152,
|
3008 |
+
"eval_steps_per_second": 0.595,
|
3009 |
+
"step": 360
|
3010 |
+
},
|
3011 |
+
{
|
3012 |
+
"epoch": 40.111111111111114,
|
3013 |
+
"grad_norm": 82638.6171875,
|
3014 |
+
"learning_rate": 4.145613229214516e-07,
|
3015 |
+
"loss": 0.4075,
|
3016 |
+
"step": 361
|
3017 |
+
},
|
3018 |
+
{
|
3019 |
+
"epoch": 40.22222222222222,
|
3020 |
+
"grad_norm": 55737.82421875,
|
3021 |
+
"learning_rate": 4.1570969223702343e-07,
|
3022 |
+
"loss": 0.3949,
|
3023 |
+
"step": 362
|
3024 |
+
},
|
3025 |
+
{
|
3026 |
+
"epoch": 40.333333333333336,
|
3027 |
+
"grad_norm": 156323.96875,
|
3028 |
+
"learning_rate": 4.1685806155259534e-07,
|
3029 |
+
"loss": 0.3846,
|
3030 |
+
"step": 363
|
3031 |
+
},
|
3032 |
+
{
|
3033 |
+
"epoch": 40.44444444444444,
|
3034 |
+
"grad_norm": 157295.421875,
|
3035 |
+
"learning_rate": 4.180064308681672e-07,
|
3036 |
+
"loss": 0.3918,
|
3037 |
+
"step": 364
|
3038 |
+
},
|
3039 |
+
{
|
3040 |
+
"epoch": 40.55555555555556,
|
3041 |
+
"grad_norm": 182490.3125,
|
3042 |
+
"learning_rate": 4.191548001837391e-07,
|
3043 |
+
"loss": 0.3988,
|
3044 |
+
"step": 365
|
3045 |
+
},
|
3046 |
+
{
|
3047 |
+
"epoch": 40.666666666666664,
|
3048 |
+
"grad_norm": 214982.359375,
|
3049 |
+
"learning_rate": 4.2030316949931097e-07,
|
3050 |
+
"loss": 0.408,
|
3051 |
+
"step": 366
|
3052 |
+
},
|
3053 |
+
{
|
3054 |
+
"epoch": 40.77777777777778,
|
3055 |
+
"grad_norm": 155003.234375,
|
3056 |
+
"learning_rate": 4.214515388148829e-07,
|
3057 |
+
"loss": 0.4078,
|
3058 |
+
"step": 367
|
3059 |
+
},
|
3060 |
+
{
|
3061 |
+
"epoch": 40.888888888888886,
|
3062 |
+
"grad_norm": 308192.21875,
|
3063 |
+
"learning_rate": 4.225999081304548e-07,
|
3064 |
+
"loss": 0.4031,
|
3065 |
+
"step": 368
|
3066 |
+
},
|
3067 |
+
{
|
3068 |
+
"epoch": 41.0,
|
3069 |
+
"grad_norm": 313317.875,
|
3070 |
+
"learning_rate": 4.237482774460267e-07,
|
3071 |
+
"loss": 0.4007,
|
3072 |
+
"step": 369
|
3073 |
+
},
|
3074 |
+
{
|
3075 |
+
"epoch": 41.0,
|
3076 |
+
"eval_accuracy": 0.8139641708773542,
|
3077 |
+
"eval_f1": 0.8029197080291971,
|
3078 |
+
"eval_loss": 0.40287867188453674,
|
3079 |
+
"eval_precision": 0.8124076809453471,
|
3080 |
+
"eval_recall": 0.7936507936507936,
|
3081 |
+
"eval_runtime": 5.0875,
|
3082 |
+
"eval_samples_per_second": 855.818,
|
3083 |
+
"eval_steps_per_second": 0.59,
|
3084 |
+
"step": 369
|
3085 |
+
},
|
3086 |
+
{
|
3087 |
+
"epoch": 41.111111111111114,
|
3088 |
+
"grad_norm": 116586.2890625,
|
3089 |
+
"learning_rate": 4.2489664676159857e-07,
|
3090 |
+
"loss": 0.3991,
|
3091 |
+
"step": 370
|
3092 |
+
},
|
3093 |
+
{
|
3094 |
+
"epoch": 41.22222222222222,
|
3095 |
+
"grad_norm": 55302.421875,
|
3096 |
+
"learning_rate": 4.260450160771704e-07,
|
3097 |
+
"loss": 0.3955,
|
3098 |
+
"step": 371
|
3099 |
+
},
|
3100 |
+
{
|
3101 |
+
"epoch": 41.333333333333336,
|
3102 |
+
"grad_norm": 181413.859375,
|
3103 |
+
"learning_rate": 4.2719338539274234e-07,
|
3104 |
+
"loss": 0.3992,
|
3105 |
+
"step": 372
|
3106 |
+
},
|
3107 |
+
{
|
3108 |
+
"epoch": 41.44444444444444,
|
3109 |
+
"grad_norm": 134792.09375,
|
3110 |
+
"learning_rate": 4.2834175470831425e-07,
|
3111 |
+
"loss": 0.4019,
|
3112 |
+
"step": 373
|
3113 |
+
},
|
3114 |
+
{
|
3115 |
+
"epoch": 41.55555555555556,
|
3116 |
+
"grad_norm": 86486.609375,
|
3117 |
+
"learning_rate": 4.2949012402388616e-07,
|
3118 |
+
"loss": 0.4,
|
3119 |
+
"step": 374
|
3120 |
+
},
|
3121 |
+
{
|
3122 |
+
"epoch": 41.666666666666664,
|
3123 |
+
"grad_norm": 69885.5703125,
|
3124 |
+
"learning_rate": 4.3063849333945797e-07,
|
3125 |
+
"loss": 0.3926,
|
3126 |
+
"step": 375
|
3127 |
+
},
|
3128 |
+
{
|
3129 |
+
"epoch": 41.77777777777778,
|
3130 |
+
"grad_norm": 65585.46875,
|
3131 |
+
"learning_rate": 4.317868626550299e-07,
|
3132 |
+
"loss": 0.4004,
|
3133 |
+
"step": 376
|
3134 |
+
},
|
3135 |
+
{
|
3136 |
+
"epoch": 41.888888888888886,
|
3137 |
+
"grad_norm": 195587.671875,
|
3138 |
+
"learning_rate": 4.329352319706018e-07,
|
3139 |
+
"loss": 0.3899,
|
3140 |
+
"step": 377
|
3141 |
+
},
|
3142 |
+
{
|
3143 |
+
"epoch": 42.0,
|
3144 |
+
"grad_norm": 138780.78125,
|
3145 |
+
"learning_rate": 4.340836012861737e-07,
|
3146 |
+
"loss": 0.3884,
|
3147 |
+
"step": 378
|
3148 |
+
},
|
3149 |
+
{
|
3150 |
+
"epoch": 42.0,
|
3151 |
+
"eval_accuracy": 0.8139641708773542,
|
3152 |
+
"eval_f1": 0.8035887487875849,
|
3153 |
+
"eval_loss": 0.40278443694114685,
|
3154 |
+
"eval_precision": 0.8102689486552567,
|
3155 |
+
"eval_recall": 0.7970177970177971,
|
3156 |
+
"eval_runtime": 5.1036,
|
3157 |
+
"eval_samples_per_second": 853.128,
|
3158 |
+
"eval_steps_per_second": 0.588,
|
3159 |
+
"step": 378
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 42.111111111111114,
|
3163 |
+
"grad_norm": 139797.984375,
|
3164 |
+
"learning_rate": 4.352319706017455e-07,
|
3165 |
+
"loss": 0.4003,
|
3166 |
+
"step": 379
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 42.22222222222222,
|
3170 |
+
"grad_norm": 167927.25,
|
3171 |
+
"learning_rate": 4.363803399173174e-07,
|
3172 |
+
"loss": 0.3784,
|
3173 |
+
"step": 380
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 42.333333333333336,
|
3177 |
+
"grad_norm": 64973.1328125,
|
3178 |
+
"learning_rate": 4.3752870923288933e-07,
|
3179 |
+
"loss": 0.3957,
|
3180 |
+
"step": 381
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 42.44444444444444,
|
3184 |
+
"grad_norm": 177692.0,
|
3185 |
+
"learning_rate": 4.3867707854846124e-07,
|
3186 |
+
"loss": 0.4117,
|
3187 |
+
"step": 382
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 42.55555555555556,
|
3191 |
+
"grad_norm": 100954.90625,
|
3192 |
+
"learning_rate": 4.3982544786403305e-07,
|
3193 |
+
"loss": 0.4032,
|
3194 |
+
"step": 383
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 42.666666666666664,
|
3198 |
+
"grad_norm": 72637.5859375,
|
3199 |
+
"learning_rate": 4.4097381717960496e-07,
|
3200 |
+
"loss": 0.404,
|
3201 |
+
"step": 384
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 42.77777777777778,
|
3205 |
+
"grad_norm": 201453.28125,
|
3206 |
+
"learning_rate": 4.4212218649517687e-07,
|
3207 |
+
"loss": 0.3859,
|
3208 |
+
"step": 385
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 42.888888888888886,
|
3212 |
+
"grad_norm": 219890.0,
|
3213 |
+
"learning_rate": 4.432705558107488e-07,
|
3214 |
+
"loss": 0.3853,
|
3215 |
+
"step": 386
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 43.0,
|
3219 |
+
"grad_norm": 101513.015625,
|
3220 |
+
"learning_rate": 4.444189251263206e-07,
|
3221 |
+
"loss": 0.4054,
|
3222 |
+
"step": 387
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 43.0,
|
3226 |
+
"eval_accuracy": 0.8144235186035829,
|
3227 |
+
"eval_f1": 0.8039786511402232,
|
3228 |
+
"eval_loss": 0.40269890427589417,
|
3229 |
+
"eval_precision": 0.811062163485071,
|
3230 |
+
"eval_recall": 0.7970177970177971,
|
3231 |
+
"eval_runtime": 5.1477,
|
3232 |
+
"eval_samples_per_second": 845.813,
|
3233 |
+
"eval_steps_per_second": 0.583,
|
3234 |
+
"step": 387
|
3235 |
+
},
|
3236 |
+
{
|
3237 |
+
"epoch": 43.111111111111114,
|
3238 |
+
"grad_norm": 225872.515625,
|
3239 |
+
"learning_rate": 4.455672944418925e-07,
|
3240 |
+
"loss": 0.3915,
|
3241 |
+
"step": 388
|
3242 |
+
},
|
3243 |
+
{
|
3244 |
+
"epoch": 43.22222222222222,
|
3245 |
+
"grad_norm": 70304.9609375,
|
3246 |
+
"learning_rate": 4.467156637574644e-07,
|
3247 |
+
"loss": 0.4047,
|
3248 |
+
"step": 389
|
3249 |
+
},
|
3250 |
+
{
|
3251 |
+
"epoch": 43.333333333333336,
|
3252 |
+
"grad_norm": 95358.1015625,
|
3253 |
+
"learning_rate": 4.478640330730363e-07,
|
3254 |
+
"loss": 0.398,
|
3255 |
+
"step": 390
|
3256 |
+
},
|
3257 |
+
{
|
3258 |
+
"epoch": 43.44444444444444,
|
3259 |
+
"grad_norm": 71124.046875,
|
3260 |
+
"learning_rate": 4.490124023886082e-07,
|
3261 |
+
"loss": 0.4073,
|
3262 |
+
"step": 391
|
3263 |
+
},
|
3264 |
+
{
|
3265 |
+
"epoch": 43.55555555555556,
|
3266 |
+
"grad_norm": 156171.65625,
|
3267 |
+
"learning_rate": 4.5016077170418004e-07,
|
3268 |
+
"loss": 0.391,
|
3269 |
+
"step": 392
|
3270 |
+
},
|
3271 |
+
{
|
3272 |
+
"epoch": 43.666666666666664,
|
3273 |
+
"grad_norm": 225986.453125,
|
3274 |
+
"learning_rate": 4.5130914101975195e-07,
|
3275 |
+
"loss": 0.386,
|
3276 |
+
"step": 393
|
3277 |
+
},
|
3278 |
+
{
|
3279 |
+
"epoch": 43.77777777777778,
|
3280 |
+
"grad_norm": 129069.015625,
|
3281 |
+
"learning_rate": 4.5245751033532386e-07,
|
3282 |
+
"loss": 0.3941,
|
3283 |
+
"step": 394
|
3284 |
+
},
|
3285 |
+
{
|
3286 |
+
"epoch": 43.888888888888886,
|
3287 |
+
"grad_norm": 96861.7890625,
|
3288 |
+
"learning_rate": 4.536058796508958e-07,
|
3289 |
+
"loss": 0.3997,
|
3290 |
+
"step": 395
|
3291 |
+
},
|
3292 |
+
{
|
3293 |
+
"epoch": 44.0,
|
3294 |
+
"grad_norm": 248732.328125,
|
3295 |
+
"learning_rate": 4.5475424896646763e-07,
|
3296 |
+
"loss": 0.3731,
|
3297 |
+
"step": 396
|
3298 |
+
},
|
3299 |
+
{
|
3300 |
+
"epoch": 44.0,
|
3301 |
+
"eval_accuracy": 0.8148828663298117,
|
3302 |
+
"eval_f1": 0.8045586808923375,
|
3303 |
+
"eval_loss": 0.40265989303588867,
|
3304 |
+
"eval_precision": 0.8112469437652812,
|
3305 |
+
"eval_recall": 0.797979797979798,
|
3306 |
+
"eval_runtime": 5.1966,
|
3307 |
+
"eval_samples_per_second": 837.848,
|
3308 |
+
"eval_steps_per_second": 0.577,
|
3309 |
+
"step": 396
|
3310 |
+
},
|
3311 |
+
{
|
3312 |
+
"epoch": 44.111111111111114,
|
3313 |
+
"grad_norm": 62515.44140625,
|
3314 |
+
"learning_rate": 4.5590261828203955e-07,
|
3315 |
+
"loss": 0.3753,
|
3316 |
+
"step": 397
|
3317 |
+
},
|
3318 |
+
{
|
3319 |
+
"epoch": 44.22222222222222,
|
3320 |
+
"grad_norm": 144591.4375,
|
3321 |
+
"learning_rate": 4.570509875976114e-07,
|
3322 |
+
"loss": 0.3881,
|
3323 |
+
"step": 398
|
3324 |
+
},
|
3325 |
+
{
|
3326 |
+
"epoch": 44.333333333333336,
|
3327 |
+
"grad_norm": 101405.015625,
|
3328 |
+
"learning_rate": 4.581993569131833e-07,
|
3329 |
+
"loss": 0.3969,
|
3330 |
+
"step": 399
|
3331 |
+
},
|
3332 |
+
{
|
3333 |
+
"epoch": 44.44444444444444,
|
3334 |
+
"grad_norm": 119058.875,
|
3335 |
+
"learning_rate": 4.593477262287552e-07,
|
3336 |
+
"loss": 0.4085,
|
3337 |
+
"step": 400
|
3338 |
+
},
|
3339 |
+
{
|
3340 |
+
"epoch": 44.55555555555556,
|
3341 |
+
"grad_norm": 112507.6484375,
|
3342 |
+
"learning_rate": 4.604960955443271e-07,
|
3343 |
+
"loss": 0.3891,
|
3344 |
+
"step": 401
|
3345 |
+
},
|
3346 |
+
{
|
3347 |
+
"epoch": 44.666666666666664,
|
3348 |
+
"grad_norm": 56403.96875,
|
3349 |
+
"learning_rate": 4.61644464859899e-07,
|
3350 |
+
"loss": 0.3913,
|
3351 |
+
"step": 402
|
3352 |
+
},
|
3353 |
+
{
|
3354 |
+
"epoch": 44.77777777777778,
|
3355 |
+
"grad_norm": 289250.875,
|
3356 |
+
"learning_rate": 4.627928341754709e-07,
|
3357 |
+
"loss": 0.3999,
|
3358 |
+
"step": 403
|
3359 |
+
},
|
3360 |
+
{
|
3361 |
+
"epoch": 44.888888888888886,
|
3362 |
+
"grad_norm": 69331.8984375,
|
3363 |
+
"learning_rate": 4.639412034910427e-07,
|
3364 |
+
"loss": 0.4067,
|
3365 |
+
"step": 404
|
3366 |
+
},
|
3367 |
+
{
|
3368 |
+
"epoch": 45.0,
|
3369 |
+
"grad_norm": 97999.0234375,
|
3370 |
+
"learning_rate": 4.650895728066146e-07,
|
3371 |
+
"loss": 0.4046,
|
3372 |
+
"step": 405
|
3373 |
+
},
|
3374 |
+
{
|
3375 |
+
"epoch": 45.0,
|
3376 |
+
"eval_accuracy": 0.8141938447404685,
|
3377 |
+
"eval_f1": 0.8031151131662205,
|
3378 |
+
"eval_loss": 0.40241068601608276,
|
3379 |
+
"eval_precision": 0.812807881773399,
|
3380 |
+
"eval_recall": 0.7936507936507936,
|
3381 |
+
"eval_runtime": 5.7031,
|
3382 |
+
"eval_samples_per_second": 763.441,
|
3383 |
+
"eval_steps_per_second": 0.526,
|
3384 |
+
"step": 405
|
3385 |
+
},
|
3386 |
+
{
|
3387 |
+
"epoch": 45.111111111111114,
|
3388 |
+
"grad_norm": 301622.4375,
|
3389 |
+
"learning_rate": 4.6623794212218654e-07,
|
3390 |
+
"loss": 0.3995,
|
3391 |
+
"step": 406
|
3392 |
+
},
|
3393 |
+
{
|
3394 |
+
"epoch": 45.22222222222222,
|
3395 |
+
"grad_norm": 299197.59375,
|
3396 |
+
"learning_rate": 4.6738631143775845e-07,
|
3397 |
+
"loss": 0.3758,
|
3398 |
+
"step": 407
|
3399 |
+
},
|
3400 |
+
{
|
3401 |
+
"epoch": 45.333333333333336,
|
3402 |
+
"grad_norm": 171744.8125,
|
3403 |
+
"learning_rate": 4.6853468075333026e-07,
|
3404 |
+
"loss": 0.3939,
|
3405 |
+
"step": 408
|
3406 |
+
},
|
3407 |
+
{
|
3408 |
+
"epoch": 45.44444444444444,
|
3409 |
+
"grad_norm": 135151.921875,
|
3410 |
+
"learning_rate": 4.6968305006890217e-07,
|
3411 |
+
"loss": 0.4104,
|
3412 |
+
"step": 409
|
3413 |
+
},
|
3414 |
+
{
|
3415 |
+
"epoch": 45.55555555555556,
|
3416 |
+
"grad_norm": 152822.78125,
|
3417 |
+
"learning_rate": 4.708314193844741e-07,
|
3418 |
+
"loss": 0.4051,
|
3419 |
+
"step": 410
|
3420 |
+
},
|
3421 |
+
{
|
3422 |
+
"epoch": 45.666666666666664,
|
3423 |
+
"grad_norm": 97492.375,
|
3424 |
+
"learning_rate": 4.71979788700046e-07,
|
3425 |
+
"loss": 0.39,
|
3426 |
+
"step": 411
|
3427 |
+
},
|
3428 |
+
{
|
3429 |
+
"epoch": 45.77777777777778,
|
3430 |
+
"grad_norm": 184670.78125,
|
3431 |
+
"learning_rate": 4.731281580156178e-07,
|
3432 |
+
"loss": 0.3944,
|
3433 |
+
"step": 412
|
3434 |
+
},
|
3435 |
+
{
|
3436 |
+
"epoch": 45.888888888888886,
|
3437 |
+
"grad_norm": 78265.125,
|
3438 |
+
"learning_rate": 4.742765273311897e-07,
|
3439 |
+
"loss": 0.4159,
|
3440 |
+
"step": 413
|
3441 |
+
},
|
3442 |
+
{
|
3443 |
+
"epoch": 46.0,
|
3444 |
+
"grad_norm": 198317.984375,
|
3445 |
+
"learning_rate": 4.754248966467616e-07,
|
3446 |
+
"loss": 0.3959,
|
3447 |
+
"step": 414
|
3448 |
+
},
|
3449 |
+
{
|
3450 |
+
"epoch": 46.0,
|
3451 |
+
"eval_accuracy": 0.8148828663298117,
|
3452 |
+
"eval_f1": 0.804368932038835,
|
3453 |
+
"eval_loss": 0.4022214710712433,
|
3454 |
+
"eval_precision": 0.8118569328760411,
|
3455 |
+
"eval_recall": 0.7970177970177971,
|
3456 |
+
"eval_runtime": 5.2348,
|
3457 |
+
"eval_samples_per_second": 831.737,
|
3458 |
+
"eval_steps_per_second": 0.573,
|
3459 |
+
"step": 414
|
3460 |
+
},
|
3461 |
+
{
|
3462 |
+
"epoch": 46.111111111111114,
|
3463 |
+
"grad_norm": 149671.578125,
|
3464 |
+
"learning_rate": 4.7657326596233353e-07,
|
3465 |
+
"loss": 0.4225,
|
3466 |
+
"step": 415
|
3467 |
+
},
|
3468 |
+
{
|
3469 |
+
"epoch": 46.22222222222222,
|
3470 |
+
"grad_norm": 69658.734375,
|
3471 |
+
"learning_rate": 4.777216352779054e-07,
|
3472 |
+
"loss": 0.3941,
|
3473 |
+
"step": 416
|
3474 |
+
},
|
3475 |
+
{
|
3476 |
+
"epoch": 46.333333333333336,
|
3477 |
+
"grad_norm": 90003.7890625,
|
3478 |
+
"learning_rate": 4.788700045934772e-07,
|
3479 |
+
"loss": 0.4081,
|
3480 |
+
"step": 417
|
3481 |
+
},
|
3482 |
+
{
|
3483 |
+
"epoch": 46.44444444444444,
|
3484 |
+
"grad_norm": 104023.953125,
|
3485 |
+
"learning_rate": 4.800183739090492e-07,
|
3486 |
+
"loss": 0.4011,
|
3487 |
+
"step": 418
|
3488 |
+
},
|
3489 |
+
{
|
3490 |
+
"epoch": 46.55555555555556,
|
3491 |
+
"grad_norm": 110850.140625,
|
3492 |
+
"learning_rate": 4.811667432246211e-07,
|
3493 |
+
"loss": 0.3945,
|
3494 |
+
"step": 419
|
3495 |
+
},
|
3496 |
+
{
|
3497 |
+
"epoch": 46.666666666666664,
|
3498 |
+
"grad_norm": 158396.875,
|
3499 |
+
"learning_rate": 4.82315112540193e-07,
|
3500 |
+
"loss": 0.3881,
|
3501 |
+
"step": 420
|
3502 |
+
},
|
3503 |
+
{
|
3504 |
+
"epoch": 46.77777777777778,
|
3505 |
+
"grad_norm": 117995.6875,
|
3506 |
+
"learning_rate": 4.834634818557648e-07,
|
3507 |
+
"loss": 0.3887,
|
3508 |
+
"step": 421
|
3509 |
+
},
|
3510 |
+
{
|
3511 |
+
"epoch": 46.888888888888886,
|
3512 |
+
"grad_norm": 94518.578125,
|
3513 |
+
"learning_rate": 4.846118511713368e-07,
|
3514 |
+
"loss": 0.3897,
|
3515 |
+
"step": 422
|
3516 |
+
},
|
3517 |
+
{
|
3518 |
+
"epoch": 47.0,
|
3519 |
+
"grad_norm": 450391.875,
|
3520 |
+
"learning_rate": 4.857602204869086e-07,
|
3521 |
+
"loss": 0.3995,
|
3522 |
+
"step": 423
|
3523 |
+
},
|
3524 |
+
{
|
3525 |
+
"epoch": 47.0,
|
3526 |
+
"eval_accuracy": 0.8137344970142398,
|
3527 |
+
"eval_f1": 0.8030119018702939,
|
3528 |
+
"eval_loss": 0.402113676071167,
|
3529 |
+
"eval_precision": 0.8110893032384691,
|
3530 |
+
"eval_recall": 0.7950937950937951,
|
3531 |
+
"eval_runtime": 5.312,
|
3532 |
+
"eval_samples_per_second": 819.647,
|
3533 |
+
"eval_steps_per_second": 0.565,
|
3534 |
+
"step": 423
|
3535 |
+
},
|
3536 |
+
{
|
3537 |
+
"epoch": 47.111111111111114,
|
3538 |
+
"grad_norm": 147506.234375,
|
3539 |
+
"learning_rate": 4.869085898024806e-07,
|
3540 |
+
"loss": 0.4033,
|
3541 |
+
"step": 424
|
3542 |
+
},
|
3543 |
+
{
|
3544 |
+
"epoch": 47.22222222222222,
|
3545 |
+
"grad_norm": 64057.921875,
|
3546 |
+
"learning_rate": 4.880569591180523e-07,
|
3547 |
+
"loss": 0.3938,
|
3548 |
+
"step": 425
|
3549 |
+
},
|
3550 |
+
{
|
3551 |
+
"epoch": 47.333333333333336,
|
3552 |
+
"grad_norm": 72932.4296875,
|
3553 |
+
"learning_rate": 4.892053284336243e-07,
|
3554 |
+
"loss": 0.3786,
|
3555 |
+
"step": 426
|
3556 |
+
},
|
3557 |
+
{
|
3558 |
+
"epoch": 47.44444444444444,
|
3559 |
+
"grad_norm": 180486.53125,
|
3560 |
+
"learning_rate": 4.903536977491962e-07,
|
3561 |
+
"loss": 0.405,
|
3562 |
+
"step": 427
|
3563 |
+
},
|
3564 |
+
{
|
3565 |
+
"epoch": 47.55555555555556,
|
3566 |
+
"grad_norm": 169827.8125,
|
3567 |
+
"learning_rate": 4.915020670647681e-07,
|
3568 |
+
"loss": 0.3964,
|
3569 |
+
"step": 428
|
3570 |
+
},
|
3571 |
+
{
|
3572 |
+
"epoch": 47.666666666666664,
|
3573 |
+
"grad_norm": 90484.8046875,
|
3574 |
+
"learning_rate": 4.926504363803399e-07,
|
3575 |
+
"loss": 0.4097,
|
3576 |
+
"step": 429
|
3577 |
+
},
|
3578 |
+
{
|
3579 |
+
"epoch": 47.77777777777778,
|
3580 |
+
"grad_norm": 135750.921875,
|
3581 |
+
"learning_rate": 4.937988056959118e-07,
|
3582 |
+
"loss": 0.3741,
|
3583 |
+
"step": 430
|
3584 |
+
},
|
3585 |
+
{
|
3586 |
+
"epoch": 47.888888888888886,
|
3587 |
+
"grad_norm": 182169.15625,
|
3588 |
+
"learning_rate": 4.949471750114837e-07,
|
3589 |
+
"loss": 0.3864,
|
3590 |
+
"step": 431
|
3591 |
+
},
|
3592 |
+
{
|
3593 |
+
"epoch": 48.0,
|
3594 |
+
"grad_norm": 320654.59375,
|
3595 |
+
"learning_rate": 4.960955443270557e-07,
|
3596 |
+
"loss": 0.3996,
|
3597 |
+
"step": 432
|
3598 |
+
},
|
3599 |
+
{
|
3600 |
+
"epoch": 48.0,
|
3601 |
+
"eval_accuracy": 0.816260909508498,
|
3602 |
+
"eval_f1": 0.806949806949807,
|
3603 |
+
"eval_loss": 0.40212130546569824,
|
3604 |
+
"eval_precision": 0.8096852300242131,
|
3605 |
+
"eval_recall": 0.8042328042328042,
|
3606 |
+
"eval_runtime": 5.311,
|
3607 |
+
"eval_samples_per_second": 819.808,
|
3608 |
+
"eval_steps_per_second": 0.565,
|
3609 |
+
"step": 432
|
3610 |
+
}
|
3611 |
+
],
|
3612 |
+
"logging_steps": 1,
|
3613 |
+
"max_steps": 450,
|
3614 |
+
"num_input_tokens_seen": 0,
|
3615 |
+
"num_train_epochs": 50,
|
3616 |
+
"save_steps": 500,
|
3617 |
+
"stateful_callbacks": {
|
3618 |
+
"TrainerControl": {
|
3619 |
+
"args": {
|
3620 |
+
"should_epoch_stop": false,
|
3621 |
+
"should_evaluate": false,
|
3622 |
+
"should_log": false,
|
3623 |
+
"should_save": true,
|
3624 |
+
"should_training_stop": false
|
3625 |
+
},
|
3626 |
+
"attributes": {}
|
3627 |
+
}
|
3628 |
+
},
|
3629 |
+
"total_flos": 3.295709628412723e+16,
|
3630 |
+
"train_batch_size": 2048,
|
3631 |
+
"trial_name": null,
|
3632 |
+
"trial_params": null
|
3633 |
+
}
|
checkpoint-432/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:84dd02cddcded42bf354e8633385d35d0e79606bbb5580f4503cf06d25f922ea
|
3 |
+
size 5368
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 8563512
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e93cd22a08f1a336b184d558e7b03b78b55971c285b7447a591b30640cb89618
|
3 |
size 8563512
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5368
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:84dd02cddcded42bf354e8633385d35d0e79606bbb5580f4503cf06d25f922ea
|
3 |
size 5368
|