Upload folder using huggingface_hub
Browse files- all_results.json +13 -0
- config.json +49 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- train_results.json +8 -0
- trainer_state.json +1855 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_f1": 0.9760225669957687,
|
4 |
+
"eval_loss": 0.06743501126766205,
|
5 |
+
"eval_runtime": 16.9709,
|
6 |
+
"eval_samples_per_second": 215.663,
|
7 |
+
"eval_steps_per_second": 6.776,
|
8 |
+
"total_flos": 2.1045216318570566e+19,
|
9 |
+
"train_loss": 0.12371139868869004,
|
10 |
+
"train_runtime": 2341.9199,
|
11 |
+
"train_samples_per_second": 171.111,
|
12 |
+
"train_steps_per_second": 5.347
|
13 |
+
}
|
config.json
ADDED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/resnet-152",
|
3 |
+
"architectures": [
|
4 |
+
"ResNetForImageClassification"
|
5 |
+
],
|
6 |
+
"depths": [
|
7 |
+
3,
|
8 |
+
8,
|
9 |
+
36,
|
10 |
+
3
|
11 |
+
],
|
12 |
+
"downsample_in_bottleneck": false,
|
13 |
+
"downsample_in_first_stage": false,
|
14 |
+
"embedding_size": 64,
|
15 |
+
"hidden_act": "relu",
|
16 |
+
"hidden_sizes": [
|
17 |
+
256,
|
18 |
+
512,
|
19 |
+
1024,
|
20 |
+
2048
|
21 |
+
],
|
22 |
+
"id2label": {
|
23 |
+
"0": "benign",
|
24 |
+
"1": "malignant"
|
25 |
+
},
|
26 |
+
"label2id": {
|
27 |
+
"benign": 0,
|
28 |
+
"malignant": 1
|
29 |
+
},
|
30 |
+
"layer_type": "bottleneck",
|
31 |
+
"model_type": "resnet",
|
32 |
+
"num_channels": 3,
|
33 |
+
"out_features": [
|
34 |
+
"stage4"
|
35 |
+
],
|
36 |
+
"out_indices": [
|
37 |
+
4
|
38 |
+
],
|
39 |
+
"problem_type": "single_label_classification",
|
40 |
+
"stage_names": [
|
41 |
+
"stem",
|
42 |
+
"stage1",
|
43 |
+
"stage2",
|
44 |
+
"stage3",
|
45 |
+
"stage4"
|
46 |
+
],
|
47 |
+
"torch_dtype": "float32",
|
48 |
+
"transformers_version": "4.48.2"
|
49 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_f1": 0.9760225669957687,
|
4 |
+
"eval_loss": 0.06743501126766205,
|
5 |
+
"eval_runtime": 16.9709,
|
6 |
+
"eval_samples_per_second": 215.663,
|
7 |
+
"eval_steps_per_second": 6.776
|
8 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e248dadf16886387e947c42b544a5a07efdb7de3faed579f57858ec29b428b8
|
3 |
+
size 233321808
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"crop_pct": 0.875,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.485,
|
8 |
+
0.456,
|
9 |
+
0.406
|
10 |
+
],
|
11 |
+
"image_processor_type": "ConvNextImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.229,
|
14 |
+
0.224,
|
15 |
+
0.225
|
16 |
+
],
|
17 |
+
"resample": 3,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"shortest_edge": 224
|
21 |
+
}
|
22 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"total_flos": 2.1045216318570566e+19,
|
4 |
+
"train_loss": 0.12371139868869004,
|
5 |
+
"train_runtime": 2341.9199,
|
6 |
+
"train_samples_per_second": 171.111,
|
7 |
+
"train_steps_per_second": 5.347
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1855 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9760225669957687,
|
3 |
+
"best_model_checkpoint": "melanoma-v3\\checkpoint-12523",
|
4 |
+
"epoch": 7.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 12523,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.027948574622694244,
|
13 |
+
"grad_norm": 9.020837783813477,
|
14 |
+
"learning_rate": 1.8355945730247407e-05,
|
15 |
+
"loss": 0.6846,
|
16 |
+
"step": 50
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.05589714924538849,
|
20 |
+
"grad_norm": 15.282539367675781,
|
21 |
+
"learning_rate": 3.790901835594573e-05,
|
22 |
+
"loss": 0.6027,
|
23 |
+
"step": 100
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.08384572386808273,
|
27 |
+
"grad_norm": 17.592166900634766,
|
28 |
+
"learning_rate": 5.78611332801277e-05,
|
29 |
+
"loss": 0.4504,
|
30 |
+
"step": 150
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.11179429849077697,
|
34 |
+
"grad_norm": 11.997602462768555,
|
35 |
+
"learning_rate": 7.781324820430965e-05,
|
36 |
+
"loss": 0.3523,
|
37 |
+
"step": 200
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.13974287311347122,
|
41 |
+
"grad_norm": 16.85348129272461,
|
42 |
+
"learning_rate": 9.776536312849161e-05,
|
43 |
+
"loss": 0.2612,
|
44 |
+
"step": 250
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.16769144773616546,
|
48 |
+
"grad_norm": 5.394933700561523,
|
49 |
+
"learning_rate": 0.00011771747805267359,
|
50 |
+
"loss": 0.2493,
|
51 |
+
"step": 300
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.1956400223588597,
|
55 |
+
"grad_norm": 15.290493965148926,
|
56 |
+
"learning_rate": 0.00013766959297685554,
|
57 |
+
"loss": 0.2092,
|
58 |
+
"step": 350
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.22358859698155395,
|
62 |
+
"grad_norm": 15.310522079467773,
|
63 |
+
"learning_rate": 0.00015762170790103753,
|
64 |
+
"loss": 0.1995,
|
65 |
+
"step": 400
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.2515371716042482,
|
69 |
+
"grad_norm": 20.243497848510742,
|
70 |
+
"learning_rate": 0.00017757382282521946,
|
71 |
+
"loss": 0.2205,
|
72 |
+
"step": 450
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.27948574622694244,
|
76 |
+
"grad_norm": 5.062504291534424,
|
77 |
+
"learning_rate": 0.00019752593774940145,
|
78 |
+
"loss": 0.2124,
|
79 |
+
"step": 500
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.3074343208496367,
|
83 |
+
"grad_norm": 5.295910358428955,
|
84 |
+
"learning_rate": 0.00021747805267358338,
|
85 |
+
"loss": 0.2178,
|
86 |
+
"step": 550
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3353828954723309,
|
90 |
+
"grad_norm": 1.7261399030685425,
|
91 |
+
"learning_rate": 0.00023743016759776537,
|
92 |
+
"loss": 0.1946,
|
93 |
+
"step": 600
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.36333147009502514,
|
97 |
+
"grad_norm": 5.8339338302612305,
|
98 |
+
"learning_rate": 0.00025738228252194736,
|
99 |
+
"loss": 0.2097,
|
100 |
+
"step": 650
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.3912800447177194,
|
104 |
+
"grad_norm": 2.142676830291748,
|
105 |
+
"learning_rate": 0.0002773343974461293,
|
106 |
+
"loss": 0.2165,
|
107 |
+
"step": 700
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.41922861934041367,
|
111 |
+
"grad_norm": 2.970517873764038,
|
112 |
+
"learning_rate": 0.00029728651237031123,
|
113 |
+
"loss": 0.2051,
|
114 |
+
"step": 750
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.4471771939631079,
|
118 |
+
"grad_norm": 4.551942348480225,
|
119 |
+
"learning_rate": 0.0003172386272944932,
|
120 |
+
"loss": 0.2288,
|
121 |
+
"step": 800
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.47512576858580213,
|
125 |
+
"grad_norm": 5.390867710113525,
|
126 |
+
"learning_rate": 0.0003371907422186752,
|
127 |
+
"loss": 0.2091,
|
128 |
+
"step": 850
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.5030743432084964,
|
132 |
+
"grad_norm": 1.3094195127487183,
|
133 |
+
"learning_rate": 0.00035714285714285714,
|
134 |
+
"loss": 0.2302,
|
135 |
+
"step": 900
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.5310229178311906,
|
139 |
+
"grad_norm": 2.8628153800964355,
|
140 |
+
"learning_rate": 0.00037709497206703913,
|
141 |
+
"loss": 0.2244,
|
142 |
+
"step": 950
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.5589714924538849,
|
146 |
+
"grad_norm": 2.0258989334106445,
|
147 |
+
"learning_rate": 0.00039704708699122107,
|
148 |
+
"loss": 0.1956,
|
149 |
+
"step": 1000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.5869200670765791,
|
153 |
+
"grad_norm": 2.2154078483581543,
|
154 |
+
"learning_rate": 0.000416999201915403,
|
155 |
+
"loss": 0.2345,
|
156 |
+
"step": 1050
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.6148686416992734,
|
160 |
+
"grad_norm": 1.6475298404693604,
|
161 |
+
"learning_rate": 0.000436951316839585,
|
162 |
+
"loss": 0.2137,
|
163 |
+
"step": 1100
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.6428172163219675,
|
167 |
+
"grad_norm": 2.1503453254699707,
|
168 |
+
"learning_rate": 0.000456903431763767,
|
169 |
+
"loss": 0.2324,
|
170 |
+
"step": 1150
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6707657909446618,
|
174 |
+
"grad_norm": 1.5340570211410522,
|
175 |
+
"learning_rate": 0.00047685554668794897,
|
176 |
+
"loss": 0.2288,
|
177 |
+
"step": 1200
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.6987143655673561,
|
181 |
+
"grad_norm": 2.333324432373047,
|
182 |
+
"learning_rate": 0.0004968076616121309,
|
183 |
+
"loss": 0.2061,
|
184 |
+
"step": 1250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.7266629401900503,
|
188 |
+
"grad_norm": 1.712575912475586,
|
189 |
+
"learning_rate": 0.000498136645962733,
|
190 |
+
"loss": 0.2189,
|
191 |
+
"step": 1300
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.7546115148127446,
|
195 |
+
"grad_norm": 1.3168742656707764,
|
196 |
+
"learning_rate": 0.0004959183673469388,
|
197 |
+
"loss": 0.1978,
|
198 |
+
"step": 1350
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.7825600894354388,
|
202 |
+
"grad_norm": 4.792356967926025,
|
203 |
+
"learning_rate": 0.0004937000887311446,
|
204 |
+
"loss": 0.2333,
|
205 |
+
"step": 1400
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.810508664058133,
|
209 |
+
"grad_norm": 1.0282349586486816,
|
210 |
+
"learning_rate": 0.0004914818101153504,
|
211 |
+
"loss": 0.23,
|
212 |
+
"step": 1450
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.8384572386808273,
|
216 |
+
"grad_norm": 0.6257219910621643,
|
217 |
+
"learning_rate": 0.0004892635314995564,
|
218 |
+
"loss": 0.2082,
|
219 |
+
"step": 1500
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.8664058133035215,
|
223 |
+
"grad_norm": 1.1651033163070679,
|
224 |
+
"learning_rate": 0.00048704525288376224,
|
225 |
+
"loss": 0.1976,
|
226 |
+
"step": 1550
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.8943543879262158,
|
230 |
+
"grad_norm": 1.0239338874816895,
|
231 |
+
"learning_rate": 0.00048482697426796806,
|
232 |
+
"loss": 0.1945,
|
233 |
+
"step": 1600
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.92230296254891,
|
237 |
+
"grad_norm": 1.616534948348999,
|
238 |
+
"learning_rate": 0.0004826086956521739,
|
239 |
+
"loss": 0.1801,
|
240 |
+
"step": 1650
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.9502515371716043,
|
244 |
+
"grad_norm": 1.4642572402954102,
|
245 |
+
"learning_rate": 0.00048039041703637974,
|
246 |
+
"loss": 0.1888,
|
247 |
+
"step": 1700
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.9782001117942984,
|
251 |
+
"grad_norm": 5.763888359069824,
|
252 |
+
"learning_rate": 0.00047817213842058566,
|
253 |
+
"loss": 0.1798,
|
254 |
+
"step": 1750
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.0,
|
258 |
+
"eval_f1": 0.8859060402684564,
|
259 |
+
"eval_loss": 0.2657495439052582,
|
260 |
+
"eval_runtime": 17.3445,
|
261 |
+
"eval_samples_per_second": 211.017,
|
262 |
+
"eval_steps_per_second": 6.63,
|
263 |
+
"step": 1789
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.0061486864169928,
|
267 |
+
"grad_norm": 0.4531048536300659,
|
268 |
+
"learning_rate": 0.0004759538598047915,
|
269 |
+
"loss": 0.1844,
|
270 |
+
"step": 1800
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 1.034097261039687,
|
274 |
+
"grad_norm": 1.737192153930664,
|
275 |
+
"learning_rate": 0.00047373558118899735,
|
276 |
+
"loss": 0.2026,
|
277 |
+
"step": 1850
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 1.0620458356623812,
|
281 |
+
"grad_norm": 1.7833003997802734,
|
282 |
+
"learning_rate": 0.00047151730257320317,
|
283 |
+
"loss": 0.1724,
|
284 |
+
"step": 1900
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.0899944102850754,
|
288 |
+
"grad_norm": 1.5082063674926758,
|
289 |
+
"learning_rate": 0.0004692990239574091,
|
290 |
+
"loss": 0.1891,
|
291 |
+
"step": 1950
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 1.1179429849077698,
|
295 |
+
"grad_norm": 1.3961833715438843,
|
296 |
+
"learning_rate": 0.00046708074534161496,
|
297 |
+
"loss": 0.1737,
|
298 |
+
"step": 2000
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 1.145891559530464,
|
302 |
+
"grad_norm": 0.9128915667533875,
|
303 |
+
"learning_rate": 0.0004648624667258208,
|
304 |
+
"loss": 0.1584,
|
305 |
+
"step": 2050
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.1738401341531581,
|
309 |
+
"grad_norm": 1.8712306022644043,
|
310 |
+
"learning_rate": 0.00046264418811002664,
|
311 |
+
"loss": 0.1765,
|
312 |
+
"step": 2100
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 1.2017887087758523,
|
316 |
+
"grad_norm": 1.0604172945022583,
|
317 |
+
"learning_rate": 0.00046042590949423246,
|
318 |
+
"loss": 0.2011,
|
319 |
+
"step": 2150
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 1.2297372833985467,
|
323 |
+
"grad_norm": 2.5036442279815674,
|
324 |
+
"learning_rate": 0.0004582076308784384,
|
325 |
+
"loss": 0.1873,
|
326 |
+
"step": 2200
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 1.2576858580212409,
|
330 |
+
"grad_norm": 2.0800774097442627,
|
331 |
+
"learning_rate": 0.0004559893522626442,
|
332 |
+
"loss": 0.1795,
|
333 |
+
"step": 2250
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 1.2856344326439353,
|
337 |
+
"grad_norm": 1.3409812450408936,
|
338 |
+
"learning_rate": 0.00045377107364685007,
|
339 |
+
"loss": 0.1708,
|
340 |
+
"step": 2300
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 1.3135830072666295,
|
344 |
+
"grad_norm": 1.0831228494644165,
|
345 |
+
"learning_rate": 0.0004515527950310559,
|
346 |
+
"loss": 0.1738,
|
347 |
+
"step": 2350
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.3415315818893236,
|
351 |
+
"grad_norm": 0.5806594491004944,
|
352 |
+
"learning_rate": 0.00044933451641526175,
|
353 |
+
"loss": 0.1659,
|
354 |
+
"step": 2400
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.3694801565120178,
|
358 |
+
"grad_norm": 0.9568463563919067,
|
359 |
+
"learning_rate": 0.0004471162377994676,
|
360 |
+
"loss": 0.1621,
|
361 |
+
"step": 2450
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 1.397428731134712,
|
365 |
+
"grad_norm": 0.8637075424194336,
|
366 |
+
"learning_rate": 0.0004448979591836735,
|
367 |
+
"loss": 0.2007,
|
368 |
+
"step": 2500
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 1.4253773057574064,
|
372 |
+
"grad_norm": 1.1704365015029907,
|
373 |
+
"learning_rate": 0.0004426796805678793,
|
374 |
+
"loss": 0.1556,
|
375 |
+
"step": 2550
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.4533258803801006,
|
379 |
+
"grad_norm": 0.8730977773666382,
|
380 |
+
"learning_rate": 0.0004404614019520852,
|
381 |
+
"loss": 0.1741,
|
382 |
+
"step": 2600
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 1.481274455002795,
|
386 |
+
"grad_norm": 0.7711090445518494,
|
387 |
+
"learning_rate": 0.00043824312333629105,
|
388 |
+
"loss": 0.1628,
|
389 |
+
"step": 2650
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.5092230296254892,
|
393 |
+
"grad_norm": 0.6016321182250977,
|
394 |
+
"learning_rate": 0.0004360248447204969,
|
395 |
+
"loss": 0.1393,
|
396 |
+
"step": 2700
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.5371716042481833,
|
400 |
+
"grad_norm": 0.9047902822494507,
|
401 |
+
"learning_rate": 0.00043380656610470273,
|
402 |
+
"loss": 0.1607,
|
403 |
+
"step": 2750
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 1.5651201788708775,
|
407 |
+
"grad_norm": 1.0270776748657227,
|
408 |
+
"learning_rate": 0.0004315882874889086,
|
409 |
+
"loss": 0.1736,
|
410 |
+
"step": 2800
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.5930687534935717,
|
414 |
+
"grad_norm": 0.7460580468177795,
|
415 |
+
"learning_rate": 0.0004293700088731145,
|
416 |
+
"loss": 0.1627,
|
417 |
+
"step": 2850
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.621017328116266,
|
421 |
+
"grad_norm": 0.8114007115364075,
|
422 |
+
"learning_rate": 0.00042715173025732034,
|
423 |
+
"loss": 0.1756,
|
424 |
+
"step": 2900
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 1.6489659027389603,
|
428 |
+
"grad_norm": 0.7761090397834778,
|
429 |
+
"learning_rate": 0.0004249334516415262,
|
430 |
+
"loss": 0.1491,
|
431 |
+
"step": 2950
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.6769144773616547,
|
435 |
+
"grad_norm": 0.7432196140289307,
|
436 |
+
"learning_rate": 0.00042271517302573203,
|
437 |
+
"loss": 0.1663,
|
438 |
+
"step": 3000
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.7048630519843488,
|
442 |
+
"grad_norm": 0.5656224489212036,
|
443 |
+
"learning_rate": 0.0004204968944099379,
|
444 |
+
"loss": 0.1808,
|
445 |
+
"step": 3050
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 1.732811626607043,
|
449 |
+
"grad_norm": 1.192177653312683,
|
450 |
+
"learning_rate": 0.00041827861579414377,
|
451 |
+
"loss": 0.1605,
|
452 |
+
"step": 3100
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 1.7607602012297372,
|
456 |
+
"grad_norm": 0.8815297484397888,
|
457 |
+
"learning_rate": 0.00041606033717834964,
|
458 |
+
"loss": 0.1595,
|
459 |
+
"step": 3150
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.7887087758524314,
|
463 |
+
"grad_norm": 0.7288667559623718,
|
464 |
+
"learning_rate": 0.00041384205856255545,
|
465 |
+
"loss": 0.1529,
|
466 |
+
"step": 3200
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.8166573504751258,
|
470 |
+
"grad_norm": 0.41470789909362793,
|
471 |
+
"learning_rate": 0.0004116237799467613,
|
472 |
+
"loss": 0.1661,
|
473 |
+
"step": 3250
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.8446059250978202,
|
477 |
+
"grad_norm": 0.5929239392280579,
|
478 |
+
"learning_rate": 0.00040940550133096714,
|
479 |
+
"loss": 0.1658,
|
480 |
+
"step": 3300
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.8725544997205144,
|
484 |
+
"grad_norm": 0.5527342557907104,
|
485 |
+
"learning_rate": 0.00040718722271517306,
|
486 |
+
"loss": 0.1686,
|
487 |
+
"step": 3350
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 1.9005030743432085,
|
491 |
+
"grad_norm": 0.7223379611968994,
|
492 |
+
"learning_rate": 0.0004049689440993789,
|
493 |
+
"loss": 0.1616,
|
494 |
+
"step": 3400
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.9284516489659027,
|
498 |
+
"grad_norm": 1.6212414503097534,
|
499 |
+
"learning_rate": 0.00040275066548358475,
|
500 |
+
"loss": 0.1455,
|
501 |
+
"step": 3450
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.9564002235885969,
|
505 |
+
"grad_norm": 0.5442690849304199,
|
506 |
+
"learning_rate": 0.00040053238686779056,
|
507 |
+
"loss": 0.1666,
|
508 |
+
"step": 3500
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 1.984348798211291,
|
512 |
+
"grad_norm": 0.4307806193828583,
|
513 |
+
"learning_rate": 0.00039831410825199643,
|
514 |
+
"loss": 0.1634,
|
515 |
+
"step": 3550
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 2.0,
|
519 |
+
"eval_f1": 0.8839446782922429,
|
520 |
+
"eval_loss": 0.26385268568992615,
|
521 |
+
"eval_runtime": 15.9608,
|
522 |
+
"eval_samples_per_second": 229.312,
|
523 |
+
"eval_steps_per_second": 7.205,
|
524 |
+
"step": 3578
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 2.0122973728339857,
|
528 |
+
"grad_norm": 1.0025759935379028,
|
529 |
+
"learning_rate": 0.00039609582963620236,
|
530 |
+
"loss": 0.16,
|
531 |
+
"step": 3600
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 2.04024594745668,
|
535 |
+
"grad_norm": 0.7586847543716431,
|
536 |
+
"learning_rate": 0.00039387755102040817,
|
537 |
+
"loss": 0.18,
|
538 |
+
"step": 3650
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 2.068194522079374,
|
542 |
+
"grad_norm": 1.3456194400787354,
|
543 |
+
"learning_rate": 0.00039165927240461404,
|
544 |
+
"loss": 0.1344,
|
545 |
+
"step": 3700
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 2.096143096702068,
|
549 |
+
"grad_norm": 0.5425747632980347,
|
550 |
+
"learning_rate": 0.00038944099378881986,
|
551 |
+
"loss": 0.1386,
|
552 |
+
"step": 3750
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 2.1240916713247624,
|
556 |
+
"grad_norm": 0.8643823266029358,
|
557 |
+
"learning_rate": 0.0003872227151730258,
|
558 |
+
"loss": 0.1609,
|
559 |
+
"step": 3800
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 2.1520402459474566,
|
563 |
+
"grad_norm": 0.6121143698692322,
|
564 |
+
"learning_rate": 0.0003850044365572316,
|
565 |
+
"loss": 0.1433,
|
566 |
+
"step": 3850
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 2.1799888205701508,
|
570 |
+
"grad_norm": 1.2089327573776245,
|
571 |
+
"learning_rate": 0.00038278615794143747,
|
572 |
+
"loss": 0.1635,
|
573 |
+
"step": 3900
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 2.207937395192845,
|
577 |
+
"grad_norm": 0.845815122127533,
|
578 |
+
"learning_rate": 0.0003805678793256433,
|
579 |
+
"loss": 0.1633,
|
580 |
+
"step": 3950
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 2.2358859698155396,
|
584 |
+
"grad_norm": 0.8113688230514526,
|
585 |
+
"learning_rate": 0.00037834960070984915,
|
586 |
+
"loss": 0.1497,
|
587 |
+
"step": 4000
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 2.2638345444382337,
|
591 |
+
"grad_norm": 1.681497573852539,
|
592 |
+
"learning_rate": 0.000376131322094055,
|
593 |
+
"loss": 0.1402,
|
594 |
+
"step": 4050
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 2.291783119060928,
|
598 |
+
"grad_norm": 0.9330260157585144,
|
599 |
+
"learning_rate": 0.0003739130434782609,
|
600 |
+
"loss": 0.1561,
|
601 |
+
"step": 4100
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.319731693683622,
|
605 |
+
"grad_norm": 1.3728777170181274,
|
606 |
+
"learning_rate": 0.0003716947648624667,
|
607 |
+
"loss": 0.1228,
|
608 |
+
"step": 4150
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.3476802683063163,
|
612 |
+
"grad_norm": 1.523483395576477,
|
613 |
+
"learning_rate": 0.0003694764862466726,
|
614 |
+
"loss": 0.1327,
|
615 |
+
"step": 4200
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 2.3756288429290104,
|
619 |
+
"grad_norm": 0.6407974362373352,
|
620 |
+
"learning_rate": 0.00036725820763087845,
|
621 |
+
"loss": 0.1499,
|
622 |
+
"step": 4250
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 2.4035774175517046,
|
626 |
+
"grad_norm": 0.5848202109336853,
|
627 |
+
"learning_rate": 0.0003650399290150843,
|
628 |
+
"loss": 0.1082,
|
629 |
+
"step": 4300
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 2.4315259921743992,
|
633 |
+
"grad_norm": 0.21722891926765442,
|
634 |
+
"learning_rate": 0.0003628216503992902,
|
635 |
+
"loss": 0.1498,
|
636 |
+
"step": 4350
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 2.4594745667970934,
|
640 |
+
"grad_norm": 0.7241097092628479,
|
641 |
+
"learning_rate": 0.000360603371783496,
|
642 |
+
"loss": 0.1354,
|
643 |
+
"step": 4400
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 2.4874231414197876,
|
647 |
+
"grad_norm": 1.2298479080200195,
|
648 |
+
"learning_rate": 0.00035838509316770187,
|
649 |
+
"loss": 0.1409,
|
650 |
+
"step": 4450
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.5153717160424818,
|
654 |
+
"grad_norm": 0.6272071003913879,
|
655 |
+
"learning_rate": 0.00035616681455190774,
|
656 |
+
"loss": 0.1358,
|
657 |
+
"step": 4500
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 2.543320290665176,
|
661 |
+
"grad_norm": 0.9323145151138306,
|
662 |
+
"learning_rate": 0.0003539485359361136,
|
663 |
+
"loss": 0.1316,
|
664 |
+
"step": 4550
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 2.5712688652878706,
|
668 |
+
"grad_norm": 0.44958174228668213,
|
669 |
+
"learning_rate": 0.0003517302573203194,
|
670 |
+
"loss": 0.1283,
|
671 |
+
"step": 4600
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 2.5992174399105643,
|
675 |
+
"grad_norm": 0.30582261085510254,
|
676 |
+
"learning_rate": 0.0003495119787045253,
|
677 |
+
"loss": 0.1225,
|
678 |
+
"step": 4650
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 2.627166014533259,
|
682 |
+
"grad_norm": 0.9854662418365479,
|
683 |
+
"learning_rate": 0.00034729370008873117,
|
684 |
+
"loss": 0.1527,
|
685 |
+
"step": 4700
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 2.655114589155953,
|
689 |
+
"grad_norm": 0.3222338557243347,
|
690 |
+
"learning_rate": 0.00034507542147293703,
|
691 |
+
"loss": 0.1485,
|
692 |
+
"step": 4750
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.6830631637786473,
|
696 |
+
"grad_norm": 0.7984679341316223,
|
697 |
+
"learning_rate": 0.00034285714285714285,
|
698 |
+
"loss": 0.15,
|
699 |
+
"step": 4800
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.7110117384013415,
|
703 |
+
"grad_norm": 0.27581000328063965,
|
704 |
+
"learning_rate": 0.0003406388642413487,
|
705 |
+
"loss": 0.1423,
|
706 |
+
"step": 4850
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.7389603130240356,
|
710 |
+
"grad_norm": 0.36392349004745483,
|
711 |
+
"learning_rate": 0.00033842058562555454,
|
712 |
+
"loss": 0.12,
|
713 |
+
"step": 4900
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.7669088876467303,
|
717 |
+
"grad_norm": 0.8806673884391785,
|
718 |
+
"learning_rate": 0.00033620230700976046,
|
719 |
+
"loss": 0.1353,
|
720 |
+
"step": 4950
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 2.794857462269424,
|
724 |
+
"grad_norm": 0.4529147446155548,
|
725 |
+
"learning_rate": 0.0003339840283939663,
|
726 |
+
"loss": 0.1524,
|
727 |
+
"step": 5000
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 2.8228060368921186,
|
731 |
+
"grad_norm": 0.7661668658256531,
|
732 |
+
"learning_rate": 0.00033176574977817214,
|
733 |
+
"loss": 0.1431,
|
734 |
+
"step": 5050
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.850754611514813,
|
738 |
+
"grad_norm": 0.7224089503288269,
|
739 |
+
"learning_rate": 0.000329547471162378,
|
740 |
+
"loss": 0.1328,
|
741 |
+
"step": 5100
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.878703186137507,
|
745 |
+
"grad_norm": 0.7597375512123108,
|
746 |
+
"learning_rate": 0.00032732919254658383,
|
747 |
+
"loss": 0.1322,
|
748 |
+
"step": 5150
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 2.906651760760201,
|
752 |
+
"grad_norm": 1.273445725440979,
|
753 |
+
"learning_rate": 0.00032511091393078975,
|
754 |
+
"loss": 0.1234,
|
755 |
+
"step": 5200
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 2.9346003353828953,
|
759 |
+
"grad_norm": 1.428731918334961,
|
760 |
+
"learning_rate": 0.00032289263531499557,
|
761 |
+
"loss": 0.1476,
|
762 |
+
"step": 5250
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 2.96254891000559,
|
766 |
+
"grad_norm": 0.4086410701274872,
|
767 |
+
"learning_rate": 0.00032067435669920144,
|
768 |
+
"loss": 0.1288,
|
769 |
+
"step": 5300
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 2.9904974846282837,
|
773 |
+
"grad_norm": 1.4084666967391968,
|
774 |
+
"learning_rate": 0.00031845607808340725,
|
775 |
+
"loss": 0.1403,
|
776 |
+
"step": 5350
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 3.0,
|
780 |
+
"eval_f1": 0.922771152754117,
|
781 |
+
"eval_loss": 0.1881607472896576,
|
782 |
+
"eval_runtime": 15.5665,
|
783 |
+
"eval_samples_per_second": 235.12,
|
784 |
+
"eval_steps_per_second": 7.388,
|
785 |
+
"step": 5367
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 3.0184460592509783,
|
789 |
+
"grad_norm": 1.1583423614501953,
|
790 |
+
"learning_rate": 0.0003162377994676132,
|
791 |
+
"loss": 0.1348,
|
792 |
+
"step": 5400
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 3.0463946338736725,
|
796 |
+
"grad_norm": 0.5038284063339233,
|
797 |
+
"learning_rate": 0.000314019520851819,
|
798 |
+
"loss": 0.1332,
|
799 |
+
"step": 5450
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 3.0743432084963667,
|
803 |
+
"grad_norm": 1.139427900314331,
|
804 |
+
"learning_rate": 0.00031180124223602486,
|
805 |
+
"loss": 0.1071,
|
806 |
+
"step": 5500
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 3.102291783119061,
|
810 |
+
"grad_norm": 0.632847011089325,
|
811 |
+
"learning_rate": 0.0003095829636202307,
|
812 |
+
"loss": 0.129,
|
813 |
+
"step": 5550
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 3.130240357741755,
|
817 |
+
"grad_norm": 0.9477543830871582,
|
818 |
+
"learning_rate": 0.00030736468500443655,
|
819 |
+
"loss": 0.1296,
|
820 |
+
"step": 5600
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 3.1581889323644496,
|
824 |
+
"grad_norm": 0.7813945412635803,
|
825 |
+
"learning_rate": 0.0003051464063886424,
|
826 |
+
"loss": 0.1356,
|
827 |
+
"step": 5650
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 3.186137506987144,
|
831 |
+
"grad_norm": 1.0547813177108765,
|
832 |
+
"learning_rate": 0.0003029281277728483,
|
833 |
+
"loss": 0.1223,
|
834 |
+
"step": 5700
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 3.214086081609838,
|
838 |
+
"grad_norm": 0.8783809542655945,
|
839 |
+
"learning_rate": 0.0003007098491570541,
|
840 |
+
"loss": 0.1086,
|
841 |
+
"step": 5750
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 3.242034656232532,
|
845 |
+
"grad_norm": 1.7557278871536255,
|
846 |
+
"learning_rate": 0.00029849157054126,
|
847 |
+
"loss": 0.1176,
|
848 |
+
"step": 5800
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 3.2699832308552264,
|
852 |
+
"grad_norm": 0.8250858783721924,
|
853 |
+
"learning_rate": 0.0002962732919254659,
|
854 |
+
"loss": 0.1244,
|
855 |
+
"step": 5850
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 3.2979318054779205,
|
859 |
+
"grad_norm": 0.5830790996551514,
|
860 |
+
"learning_rate": 0.0002940550133096717,
|
861 |
+
"loss": 0.1255,
|
862 |
+
"step": 5900
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 3.3258803801006147,
|
866 |
+
"grad_norm": 0.39319124817848206,
|
867 |
+
"learning_rate": 0.0002918367346938776,
|
868 |
+
"loss": 0.1145,
|
869 |
+
"step": 5950
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 3.3538289547233093,
|
873 |
+
"grad_norm": 0.7558562755584717,
|
874 |
+
"learning_rate": 0.0002896184560780834,
|
875 |
+
"loss": 0.1449,
|
876 |
+
"step": 6000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 3.3817775293460035,
|
880 |
+
"grad_norm": 0.686841607093811,
|
881 |
+
"learning_rate": 0.00028740017746228927,
|
882 |
+
"loss": 0.1269,
|
883 |
+
"step": 6050
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 3.4097261039686977,
|
887 |
+
"grad_norm": 0.3600720167160034,
|
888 |
+
"learning_rate": 0.00028518189884649514,
|
889 |
+
"loss": 0.1095,
|
890 |
+
"step": 6100
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 3.437674678591392,
|
894 |
+
"grad_norm": 0.38374069333076477,
|
895 |
+
"learning_rate": 0.000282963620230701,
|
896 |
+
"loss": 0.11,
|
897 |
+
"step": 6150
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 3.465623253214086,
|
901 |
+
"grad_norm": 0.736842691898346,
|
902 |
+
"learning_rate": 0.0002807453416149068,
|
903 |
+
"loss": 0.1099,
|
904 |
+
"step": 6200
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 3.49357182783678,
|
908 |
+
"grad_norm": 0.21129830181598663,
|
909 |
+
"learning_rate": 0.0002785270629991127,
|
910 |
+
"loss": 0.1291,
|
911 |
+
"step": 6250
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 3.5215204024594744,
|
915 |
+
"grad_norm": 0.6699479222297668,
|
916 |
+
"learning_rate": 0.0002763087843833185,
|
917 |
+
"loss": 0.1018,
|
918 |
+
"step": 6300
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 3.549468977082169,
|
922 |
+
"grad_norm": 1.1297788619995117,
|
923 |
+
"learning_rate": 0.00027409050576752443,
|
924 |
+
"loss": 0.0986,
|
925 |
+
"step": 6350
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 3.577417551704863,
|
929 |
+
"grad_norm": 0.7633982300758362,
|
930 |
+
"learning_rate": 0.00027187222715173025,
|
931 |
+
"loss": 0.1249,
|
932 |
+
"step": 6400
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 3.6053661263275574,
|
936 |
+
"grad_norm": 1.3231158256530762,
|
937 |
+
"learning_rate": 0.0002696539485359361,
|
938 |
+
"loss": 0.1178,
|
939 |
+
"step": 6450
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 3.6333147009502516,
|
943 |
+
"grad_norm": 0.5314428806304932,
|
944 |
+
"learning_rate": 0.00026743566992014193,
|
945 |
+
"loss": 0.1094,
|
946 |
+
"step": 6500
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 3.6612632755729457,
|
950 |
+
"grad_norm": 0.3701280355453491,
|
951 |
+
"learning_rate": 0.00026521739130434786,
|
952 |
+
"loss": 0.12,
|
953 |
+
"step": 6550
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 3.68921185019564,
|
957 |
+
"grad_norm": 0.6473478674888611,
|
958 |
+
"learning_rate": 0.00026299911268855367,
|
959 |
+
"loss": 0.106,
|
960 |
+
"step": 6600
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 3.717160424818334,
|
964 |
+
"grad_norm": 0.4988769590854645,
|
965 |
+
"learning_rate": 0.00026078083407275954,
|
966 |
+
"loss": 0.1396,
|
967 |
+
"step": 6650
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 3.7451089994410287,
|
971 |
+
"grad_norm": 1.0782082080841064,
|
972 |
+
"learning_rate": 0.0002585625554569654,
|
973 |
+
"loss": 0.1144,
|
974 |
+
"step": 6700
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 3.773057574063723,
|
978 |
+
"grad_norm": 0.846603274345398,
|
979 |
+
"learning_rate": 0.00025634427684117123,
|
980 |
+
"loss": 0.1142,
|
981 |
+
"step": 6750
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 3.801006148686417,
|
985 |
+
"grad_norm": 1.2522852420806885,
|
986 |
+
"learning_rate": 0.00025412599822537715,
|
987 |
+
"loss": 0.1086,
|
988 |
+
"step": 6800
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 3.8289547233091112,
|
992 |
+
"grad_norm": 0.30715683102607727,
|
993 |
+
"learning_rate": 0.00025190771960958297,
|
994 |
+
"loss": 0.1023,
|
995 |
+
"step": 6850
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 3.8569032979318054,
|
999 |
+
"grad_norm": 1.1746628284454346,
|
1000 |
+
"learning_rate": 0.00024968944099378884,
|
1001 |
+
"loss": 0.1182,
|
1002 |
+
"step": 6900
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 3.8848518725544996,
|
1006 |
+
"grad_norm": 2.2346272468566895,
|
1007 |
+
"learning_rate": 0.0002474711623779947,
|
1008 |
+
"loss": 0.1207,
|
1009 |
+
"step": 6950
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 3.9128004471771938,
|
1013 |
+
"grad_norm": 1.6879889965057373,
|
1014 |
+
"learning_rate": 0.0002452528837622005,
|
1015 |
+
"loss": 0.101,
|
1016 |
+
"step": 7000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 3.9407490217998884,
|
1020 |
+
"grad_norm": 0.777055025100708,
|
1021 |
+
"learning_rate": 0.00024303460514640642,
|
1022 |
+
"loss": 0.1051,
|
1023 |
+
"step": 7050
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 3.9686975964225826,
|
1027 |
+
"grad_norm": 1.065346598625183,
|
1028 |
+
"learning_rate": 0.00024081632653061226,
|
1029 |
+
"loss": 0.1055,
|
1030 |
+
"step": 7100
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 3.9966461710452768,
|
1034 |
+
"grad_norm": 2.3775737285614014,
|
1035 |
+
"learning_rate": 0.0002385980479148181,
|
1036 |
+
"loss": 0.097,
|
1037 |
+
"step": 7150
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 4.0,
|
1041 |
+
"eval_f1": 0.9374824782730586,
|
1042 |
+
"eval_loss": 0.15188030898571014,
|
1043 |
+
"eval_runtime": 15.6619,
|
1044 |
+
"eval_samples_per_second": 233.688,
|
1045 |
+
"eval_steps_per_second": 7.343,
|
1046 |
+
"step": 7156
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 4.024594745667971,
|
1050 |
+
"grad_norm": 0.8017207980155945,
|
1051 |
+
"learning_rate": 0.00023637976929902397,
|
1052 |
+
"loss": 0.1102,
|
1053 |
+
"step": 7200
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 4.052543320290665,
|
1057 |
+
"grad_norm": 2.158339023590088,
|
1058 |
+
"learning_rate": 0.00023416149068322982,
|
1059 |
+
"loss": 0.1033,
|
1060 |
+
"step": 7250
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 4.08049189491336,
|
1064 |
+
"grad_norm": 0.8033800721168518,
|
1065 |
+
"learning_rate": 0.00023194321206743569,
|
1066 |
+
"loss": 0.1054,
|
1067 |
+
"step": 7300
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 4.1084404695360535,
|
1071 |
+
"grad_norm": 1.1149848699569702,
|
1072 |
+
"learning_rate": 0.00022972493345164153,
|
1073 |
+
"loss": 0.0884,
|
1074 |
+
"step": 7350
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 4.136389044158748,
|
1078 |
+
"grad_norm": 0.18090881407260895,
|
1079 |
+
"learning_rate": 0.0002275066548358474,
|
1080 |
+
"loss": 0.091,
|
1081 |
+
"step": 7400
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 4.164337618781442,
|
1085 |
+
"grad_norm": 0.6261000633239746,
|
1086 |
+
"learning_rate": 0.00022528837622005324,
|
1087 |
+
"loss": 0.0842,
|
1088 |
+
"step": 7450
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 4.192286193404136,
|
1092 |
+
"grad_norm": 0.44622424244880676,
|
1093 |
+
"learning_rate": 0.00022307009760425908,
|
1094 |
+
"loss": 0.0933,
|
1095 |
+
"step": 7500
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 4.220234768026831,
|
1099 |
+
"grad_norm": 1.2650983333587646,
|
1100 |
+
"learning_rate": 0.00022085181898846495,
|
1101 |
+
"loss": 0.0982,
|
1102 |
+
"step": 7550
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 4.248183342649525,
|
1106 |
+
"grad_norm": 2.512014150619507,
|
1107 |
+
"learning_rate": 0.0002186335403726708,
|
1108 |
+
"loss": 0.0959,
|
1109 |
+
"step": 7600
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 4.276131917272219,
|
1113 |
+
"grad_norm": 0.9572253227233887,
|
1114 |
+
"learning_rate": 0.00021641526175687667,
|
1115 |
+
"loss": 0.1197,
|
1116 |
+
"step": 7650
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 4.304080491894913,
|
1120 |
+
"grad_norm": 0.8612358570098877,
|
1121 |
+
"learning_rate": 0.0002141969831410825,
|
1122 |
+
"loss": 0.0898,
|
1123 |
+
"step": 7700
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 4.332029066517608,
|
1127 |
+
"grad_norm": 0.13563434779644012,
|
1128 |
+
"learning_rate": 0.00021197870452528838,
|
1129 |
+
"loss": 0.1268,
|
1130 |
+
"step": 7750
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 4.3599776411403015,
|
1134 |
+
"grad_norm": 0.9207750558853149,
|
1135 |
+
"learning_rate": 0.00020976042590949425,
|
1136 |
+
"loss": 0.1138,
|
1137 |
+
"step": 7800
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 4.387926215762996,
|
1141 |
+
"grad_norm": 0.15072673559188843,
|
1142 |
+
"learning_rate": 0.00020754214729370012,
|
1143 |
+
"loss": 0.0854,
|
1144 |
+
"step": 7850
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 4.41587479038569,
|
1148 |
+
"grad_norm": 0.5902436375617981,
|
1149 |
+
"learning_rate": 0.00020532386867790596,
|
1150 |
+
"loss": 0.0967,
|
1151 |
+
"step": 7900
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 4.4438233650083845,
|
1155 |
+
"grad_norm": 2.2286317348480225,
|
1156 |
+
"learning_rate": 0.0002031055900621118,
|
1157 |
+
"loss": 0.0939,
|
1158 |
+
"step": 7950
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 4.471771939631079,
|
1162 |
+
"grad_norm": 0.6109320521354675,
|
1163 |
+
"learning_rate": 0.00020088731144631767,
|
1164 |
+
"loss": 0.0887,
|
1165 |
+
"step": 8000
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 4.499720514253773,
|
1169 |
+
"grad_norm": 1.340773582458496,
|
1170 |
+
"learning_rate": 0.00019866903283052352,
|
1171 |
+
"loss": 0.0837,
|
1172 |
+
"step": 8050
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 4.5276690888764675,
|
1176 |
+
"grad_norm": 1.1809900999069214,
|
1177 |
+
"learning_rate": 0.00019645075421472938,
|
1178 |
+
"loss": 0.0765,
|
1179 |
+
"step": 8100
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 4.555617663499161,
|
1183 |
+
"grad_norm": 0.8299195170402527,
|
1184 |
+
"learning_rate": 0.00019423247559893523,
|
1185 |
+
"loss": 0.0972,
|
1186 |
+
"step": 8150
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 4.583566238121856,
|
1190 |
+
"grad_norm": 0.18145732581615448,
|
1191 |
+
"learning_rate": 0.0001920141969831411,
|
1192 |
+
"loss": 0.075,
|
1193 |
+
"step": 8200
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 4.61151481274455,
|
1197 |
+
"grad_norm": 0.2446570098400116,
|
1198 |
+
"learning_rate": 0.00018979591836734694,
|
1199 |
+
"loss": 0.0857,
|
1200 |
+
"step": 8250
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 4.639463387367244,
|
1204 |
+
"grad_norm": 1.534759759902954,
|
1205 |
+
"learning_rate": 0.00018757763975155278,
|
1206 |
+
"loss": 0.0793,
|
1207 |
+
"step": 8300
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 4.667411961989939,
|
1211 |
+
"grad_norm": 1.6062694787979126,
|
1212 |
+
"learning_rate": 0.00018535936113575865,
|
1213 |
+
"loss": 0.0931,
|
1214 |
+
"step": 8350
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 4.6953605366126325,
|
1218 |
+
"grad_norm": 2.1251513957977295,
|
1219 |
+
"learning_rate": 0.0001831410825199645,
|
1220 |
+
"loss": 0.1003,
|
1221 |
+
"step": 8400
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 4.723309111235327,
|
1225 |
+
"grad_norm": 0.9858797788619995,
|
1226 |
+
"learning_rate": 0.00018092280390417036,
|
1227 |
+
"loss": 0.082,
|
1228 |
+
"step": 8450
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 4.751257685858021,
|
1232 |
+
"grad_norm": 1.1654304265975952,
|
1233 |
+
"learning_rate": 0.0001787045252883762,
|
1234 |
+
"loss": 0.0603,
|
1235 |
+
"step": 8500
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 4.7792062604807155,
|
1239 |
+
"grad_norm": 1.731586217880249,
|
1240 |
+
"learning_rate": 0.00017648624667258208,
|
1241 |
+
"loss": 0.0593,
|
1242 |
+
"step": 8550
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 4.807154835103409,
|
1246 |
+
"grad_norm": 0.524991512298584,
|
1247 |
+
"learning_rate": 0.00017426796805678795,
|
1248 |
+
"loss": 0.0928,
|
1249 |
+
"step": 8600
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 4.835103409726104,
|
1253 |
+
"grad_norm": 0.76012122631073,
|
1254 |
+
"learning_rate": 0.00017204968944099382,
|
1255 |
+
"loss": 0.0901,
|
1256 |
+
"step": 8650
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 4.8630519843487985,
|
1260 |
+
"grad_norm": 1.038218379020691,
|
1261 |
+
"learning_rate": 0.00016983141082519966,
|
1262 |
+
"loss": 0.0712,
|
1263 |
+
"step": 8700
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 4.891000558971492,
|
1267 |
+
"grad_norm": 0.7694293260574341,
|
1268 |
+
"learning_rate": 0.0001676131322094055,
|
1269 |
+
"loss": 0.0801,
|
1270 |
+
"step": 8750
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 4.918949133594187,
|
1274 |
+
"grad_norm": 1.4149705171585083,
|
1275 |
+
"learning_rate": 0.00016539485359361137,
|
1276 |
+
"loss": 0.1054,
|
1277 |
+
"step": 8800
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 4.946897708216881,
|
1281 |
+
"grad_norm": 0.35135123133659363,
|
1282 |
+
"learning_rate": 0.00016317657497781721,
|
1283 |
+
"loss": 0.0917,
|
1284 |
+
"step": 8850
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 4.974846282839575,
|
1288 |
+
"grad_norm": 1.8134843111038208,
|
1289 |
+
"learning_rate": 0.00016095829636202308,
|
1290 |
+
"loss": 0.0946,
|
1291 |
+
"step": 8900
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 5.0,
|
1295 |
+
"eval_f1": 0.9494430162810625,
|
1296 |
+
"eval_loss": 0.12213503569364548,
|
1297 |
+
"eval_runtime": 16.0206,
|
1298 |
+
"eval_samples_per_second": 228.456,
|
1299 |
+
"eval_steps_per_second": 7.178,
|
1300 |
+
"step": 8945
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 5.00279485746227,
|
1304 |
+
"grad_norm": 0.8835757374763489,
|
1305 |
+
"learning_rate": 0.00015874001774622893,
|
1306 |
+
"loss": 0.0792,
|
1307 |
+
"step": 8950
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 5.0307434320849636,
|
1311 |
+
"grad_norm": 0.5846070647239685,
|
1312 |
+
"learning_rate": 0.0001565217391304348,
|
1313 |
+
"loss": 0.0834,
|
1314 |
+
"step": 9000
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 5.058692006707658,
|
1318 |
+
"grad_norm": 0.4132053256034851,
|
1319 |
+
"learning_rate": 0.00015430346051464064,
|
1320 |
+
"loss": 0.0622,
|
1321 |
+
"step": 9050
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 5.086640581330352,
|
1325 |
+
"grad_norm": 3.0904829502105713,
|
1326 |
+
"learning_rate": 0.00015208518189884648,
|
1327 |
+
"loss": 0.0626,
|
1328 |
+
"step": 9100
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 5.1145891559530465,
|
1332 |
+
"grad_norm": 2.243579387664795,
|
1333 |
+
"learning_rate": 0.00014986690328305235,
|
1334 |
+
"loss": 0.0795,
|
1335 |
+
"step": 9150
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 5.14253773057574,
|
1339 |
+
"grad_norm": 1.4317448139190674,
|
1340 |
+
"learning_rate": 0.0001476486246672582,
|
1341 |
+
"loss": 0.0642,
|
1342 |
+
"step": 9200
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 5.170486305198435,
|
1346 |
+
"grad_norm": 0.3954031765460968,
|
1347 |
+
"learning_rate": 0.00014543034605146406,
|
1348 |
+
"loss": 0.0748,
|
1349 |
+
"step": 9250
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 5.1984348798211295,
|
1353 |
+
"grad_norm": 0.7129592895507812,
|
1354 |
+
"learning_rate": 0.0001432120674356699,
|
1355 |
+
"loss": 0.0631,
|
1356 |
+
"step": 9300
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 5.226383454443823,
|
1360 |
+
"grad_norm": 0.7119801044464111,
|
1361 |
+
"learning_rate": 0.0001409937888198758,
|
1362 |
+
"loss": 0.0672,
|
1363 |
+
"step": 9350
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 5.254332029066518,
|
1367 |
+
"grad_norm": 1.8398321866989136,
|
1368 |
+
"learning_rate": 0.00013877551020408165,
|
1369 |
+
"loss": 0.0627,
|
1370 |
+
"step": 9400
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 5.282280603689212,
|
1374 |
+
"grad_norm": 1.1668697595596313,
|
1375 |
+
"learning_rate": 0.0001365572315882875,
|
1376 |
+
"loss": 0.0661,
|
1377 |
+
"step": 9450
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 5.310229178311906,
|
1381 |
+
"grad_norm": 0.6019765734672546,
|
1382 |
+
"learning_rate": 0.00013433895297249336,
|
1383 |
+
"loss": 0.0615,
|
1384 |
+
"step": 9500
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 5.3381777529346,
|
1388 |
+
"grad_norm": 2.365870237350464,
|
1389 |
+
"learning_rate": 0.0001321206743566992,
|
1390 |
+
"loss": 0.0582,
|
1391 |
+
"step": 9550
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 5.366126327557295,
|
1395 |
+
"grad_norm": 0.10710655897855759,
|
1396 |
+
"learning_rate": 0.00012990239574090507,
|
1397 |
+
"loss": 0.052,
|
1398 |
+
"step": 9600
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 5.394074902179989,
|
1402 |
+
"grad_norm": 0.6959599852561951,
|
1403 |
+
"learning_rate": 0.0001276841171251109,
|
1404 |
+
"loss": 0.0558,
|
1405 |
+
"step": 9650
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 5.422023476802683,
|
1409 |
+
"grad_norm": 0.11615774035453796,
|
1410 |
+
"learning_rate": 0.00012546583850931678,
|
1411 |
+
"loss": 0.0625,
|
1412 |
+
"step": 9700
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 5.4499720514253776,
|
1416 |
+
"grad_norm": 0.057329438626766205,
|
1417 |
+
"learning_rate": 0.00012324755989352263,
|
1418 |
+
"loss": 0.0455,
|
1419 |
+
"step": 9750
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 5.477920626048071,
|
1423 |
+
"grad_norm": 3.285327196121216,
|
1424 |
+
"learning_rate": 0.00012102928127772848,
|
1425 |
+
"loss": 0.0674,
|
1426 |
+
"step": 9800
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 5.505869200670766,
|
1430 |
+
"grad_norm": 2.17206072807312,
|
1431 |
+
"learning_rate": 0.00011881100266193434,
|
1432 |
+
"loss": 0.0678,
|
1433 |
+
"step": 9850
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 5.5338177752934605,
|
1437 |
+
"grad_norm": 0.2885390520095825,
|
1438 |
+
"learning_rate": 0.0001165927240461402,
|
1439 |
+
"loss": 0.0512,
|
1440 |
+
"step": 9900
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 5.561766349916154,
|
1444 |
+
"grad_norm": 2.1970298290252686,
|
1445 |
+
"learning_rate": 0.00011437444543034606,
|
1446 |
+
"loss": 0.0598,
|
1447 |
+
"step": 9950
|
1448 |
+
},
|
1449 |
+
{
|
1450 |
+
"epoch": 5.589714924538849,
|
1451 |
+
"grad_norm": 0.1274396926164627,
|
1452 |
+
"learning_rate": 0.00011215616681455192,
|
1453 |
+
"loss": 0.0717,
|
1454 |
+
"step": 10000
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 5.617663499161543,
|
1458 |
+
"grad_norm": 0.7299688458442688,
|
1459 |
+
"learning_rate": 0.00010993788819875776,
|
1460 |
+
"loss": 0.0797,
|
1461 |
+
"step": 10050
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 5.645612073784237,
|
1465 |
+
"grad_norm": 0.5048921704292297,
|
1466 |
+
"learning_rate": 0.00010771960958296362,
|
1467 |
+
"loss": 0.0592,
|
1468 |
+
"step": 10100
|
1469 |
+
},
|
1470 |
+
{
|
1471 |
+
"epoch": 5.673560648406931,
|
1472 |
+
"grad_norm": 1.5433499813079834,
|
1473 |
+
"learning_rate": 0.00010550133096716947,
|
1474 |
+
"loss": 0.0702,
|
1475 |
+
"step": 10150
|
1476 |
+
},
|
1477 |
+
{
|
1478 |
+
"epoch": 5.701509223029626,
|
1479 |
+
"grad_norm": 0.23040899634361267,
|
1480 |
+
"learning_rate": 0.00010328305235137533,
|
1481 |
+
"loss": 0.0654,
|
1482 |
+
"step": 10200
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 5.729457797652319,
|
1486 |
+
"grad_norm": 1.693513035774231,
|
1487 |
+
"learning_rate": 0.00010106477373558119,
|
1488 |
+
"loss": 0.0687,
|
1489 |
+
"step": 10250
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 5.757406372275014,
|
1493 |
+
"grad_norm": 4.076319694519043,
|
1494 |
+
"learning_rate": 9.884649511978706e-05,
|
1495 |
+
"loss": 0.0639,
|
1496 |
+
"step": 10300
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 5.785354946897709,
|
1500 |
+
"grad_norm": 0.48212429881095886,
|
1501 |
+
"learning_rate": 9.662821650399291e-05,
|
1502 |
+
"loss": 0.0604,
|
1503 |
+
"step": 10350
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 5.813303521520402,
|
1507 |
+
"grad_norm": 0.04306049272418022,
|
1508 |
+
"learning_rate": 9.440993788819877e-05,
|
1509 |
+
"loss": 0.0495,
|
1510 |
+
"step": 10400
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 5.841252096143097,
|
1514 |
+
"grad_norm": 0.23358555138111115,
|
1515 |
+
"learning_rate": 9.223602484472051e-05,
|
1516 |
+
"loss": 0.0615,
|
1517 |
+
"step": 10450
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 5.869200670765791,
|
1521 |
+
"grad_norm": 1.8047716617584229,
|
1522 |
+
"learning_rate": 9.001774622892636e-05,
|
1523 |
+
"loss": 0.0531,
|
1524 |
+
"step": 10500
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 5.897149245388485,
|
1528 |
+
"grad_norm": 0.1505836844444275,
|
1529 |
+
"learning_rate": 8.779946761313221e-05,
|
1530 |
+
"loss": 0.0529,
|
1531 |
+
"step": 10550
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 5.92509782001118,
|
1535 |
+
"grad_norm": 0.42754456400871277,
|
1536 |
+
"learning_rate": 8.558118899733806e-05,
|
1537 |
+
"loss": 0.0567,
|
1538 |
+
"step": 10600
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 5.953046394633874,
|
1542 |
+
"grad_norm": 1.9926128387451172,
|
1543 |
+
"learning_rate": 8.336291038154392e-05,
|
1544 |
+
"loss": 0.0473,
|
1545 |
+
"step": 10650
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 5.980994969256568,
|
1549 |
+
"grad_norm": 0.3347943425178528,
|
1550 |
+
"learning_rate": 8.114463176574978e-05,
|
1551 |
+
"loss": 0.0688,
|
1552 |
+
"step": 10700
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"epoch": 6.0,
|
1556 |
+
"eval_f1": 0.9666100735710244,
|
1557 |
+
"eval_loss": 0.08690152317285538,
|
1558 |
+
"eval_runtime": 15.4749,
|
1559 |
+
"eval_samples_per_second": 236.512,
|
1560 |
+
"eval_steps_per_second": 7.431,
|
1561 |
+
"step": 10734
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 6.008943543879262,
|
1565 |
+
"grad_norm": 0.8442544341087341,
|
1566 |
+
"learning_rate": 7.892635314995563e-05,
|
1567 |
+
"loss": 0.0456,
|
1568 |
+
"step": 10750
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 6.036892118501957,
|
1572 |
+
"grad_norm": 1.1793649196624756,
|
1573 |
+
"learning_rate": 7.67080745341615e-05,
|
1574 |
+
"loss": 0.0434,
|
1575 |
+
"step": 10800
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 6.06484069312465,
|
1579 |
+
"grad_norm": 0.9821094870567322,
|
1580 |
+
"learning_rate": 7.448979591836736e-05,
|
1581 |
+
"loss": 0.0455,
|
1582 |
+
"step": 10850
|
1583 |
+
},
|
1584 |
+
{
|
1585 |
+
"epoch": 6.092789267747345,
|
1586 |
+
"grad_norm": 0.5856317281723022,
|
1587 |
+
"learning_rate": 7.227151730257321e-05,
|
1588 |
+
"loss": 0.0365,
|
1589 |
+
"step": 10900
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 6.120737842370039,
|
1593 |
+
"grad_norm": 0.5461094379425049,
|
1594 |
+
"learning_rate": 7.005323868677906e-05,
|
1595 |
+
"loss": 0.0342,
|
1596 |
+
"step": 10950
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 6.148686416992733,
|
1600 |
+
"grad_norm": 2.0931904315948486,
|
1601 |
+
"learning_rate": 6.783496007098491e-05,
|
1602 |
+
"loss": 0.0423,
|
1603 |
+
"step": 11000
|
1604 |
+
},
|
1605 |
+
{
|
1606 |
+
"epoch": 6.176634991615428,
|
1607 |
+
"grad_norm": 0.046953145414590836,
|
1608 |
+
"learning_rate": 6.561668145519077e-05,
|
1609 |
+
"loss": 0.0523,
|
1610 |
+
"step": 11050
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 6.204583566238122,
|
1614 |
+
"grad_norm": 1.0641871690750122,
|
1615 |
+
"learning_rate": 6.339840283939662e-05,
|
1616 |
+
"loss": 0.0421,
|
1617 |
+
"step": 11100
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 6.232532140860816,
|
1621 |
+
"grad_norm": 0.4122409224510193,
|
1622 |
+
"learning_rate": 6.118012422360248e-05,
|
1623 |
+
"loss": 0.0441,
|
1624 |
+
"step": 11150
|
1625 |
+
},
|
1626 |
+
{
|
1627 |
+
"epoch": 6.26048071548351,
|
1628 |
+
"grad_norm": 0.2935519218444824,
|
1629 |
+
"learning_rate": 5.8961845607808344e-05,
|
1630 |
+
"loss": 0.0354,
|
1631 |
+
"step": 11200
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 6.288429290106205,
|
1635 |
+
"grad_norm": 0.8135849833488464,
|
1636 |
+
"learning_rate": 5.6743566992014193e-05,
|
1637 |
+
"loss": 0.0333,
|
1638 |
+
"step": 11250
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 6.316377864728899,
|
1642 |
+
"grad_norm": 1.1806564331054688,
|
1643 |
+
"learning_rate": 5.4525288376220056e-05,
|
1644 |
+
"loss": 0.0614,
|
1645 |
+
"step": 11300
|
1646 |
+
},
|
1647 |
+
{
|
1648 |
+
"epoch": 6.344326439351593,
|
1649 |
+
"grad_norm": 0.5362429022789001,
|
1650 |
+
"learning_rate": 5.230700976042591e-05,
|
1651 |
+
"loss": 0.0453,
|
1652 |
+
"step": 11350
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 6.372275013974288,
|
1656 |
+
"grad_norm": 0.10853467881679535,
|
1657 |
+
"learning_rate": 5.008873114463176e-05,
|
1658 |
+
"loss": 0.0371,
|
1659 |
+
"step": 11400
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 6.400223588596981,
|
1663 |
+
"grad_norm": 2.1878767013549805,
|
1664 |
+
"learning_rate": 4.787045252883762e-05,
|
1665 |
+
"loss": 0.0418,
|
1666 |
+
"step": 11450
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 6.428172163219676,
|
1670 |
+
"grad_norm": 1.1209208965301514,
|
1671 |
+
"learning_rate": 4.565217391304348e-05,
|
1672 |
+
"loss": 0.0257,
|
1673 |
+
"step": 11500
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 6.45612073784237,
|
1677 |
+
"grad_norm": 1.4330588579177856,
|
1678 |
+
"learning_rate": 4.343389529724934e-05,
|
1679 |
+
"loss": 0.0595,
|
1680 |
+
"step": 11550
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 6.484069312465064,
|
1684 |
+
"grad_norm": 1.9309511184692383,
|
1685 |
+
"learning_rate": 4.1215616681455187e-05,
|
1686 |
+
"loss": 0.0357,
|
1687 |
+
"step": 11600
|
1688 |
+
},
|
1689 |
+
{
|
1690 |
+
"epoch": 6.512017887087758,
|
1691 |
+
"grad_norm": 0.004909028764814138,
|
1692 |
+
"learning_rate": 3.899733806566105e-05,
|
1693 |
+
"loss": 0.0332,
|
1694 |
+
"step": 11650
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 6.539966461710453,
|
1698 |
+
"grad_norm": 0.5627462267875671,
|
1699 |
+
"learning_rate": 3.6779059449866906e-05,
|
1700 |
+
"loss": 0.0416,
|
1701 |
+
"step": 11700
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 6.567915036333147,
|
1705 |
+
"grad_norm": 4.456967830657959,
|
1706 |
+
"learning_rate": 3.456078083407276e-05,
|
1707 |
+
"loss": 0.045,
|
1708 |
+
"step": 11750
|
1709 |
+
},
|
1710 |
+
{
|
1711 |
+
"epoch": 6.595863610955841,
|
1712 |
+
"grad_norm": 2.8317513465881348,
|
1713 |
+
"learning_rate": 3.234250221827861e-05,
|
1714 |
+
"loss": 0.0305,
|
1715 |
+
"step": 11800
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 6.623812185578536,
|
1719 |
+
"grad_norm": 2.5559463500976562,
|
1720 |
+
"learning_rate": 3.012422360248447e-05,
|
1721 |
+
"loss": 0.0297,
|
1722 |
+
"step": 11850
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 6.651760760201229,
|
1726 |
+
"grad_norm": 0.5523830056190491,
|
1727 |
+
"learning_rate": 2.790594498669033e-05,
|
1728 |
+
"loss": 0.0325,
|
1729 |
+
"step": 11900
|
1730 |
+
},
|
1731 |
+
{
|
1732 |
+
"epoch": 6.679709334823924,
|
1733 |
+
"grad_norm": 0.04988823086023331,
|
1734 |
+
"learning_rate": 2.5687666370896183e-05,
|
1735 |
+
"loss": 0.0313,
|
1736 |
+
"step": 11950
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 6.707657909446619,
|
1740 |
+
"grad_norm": 1.5902944803237915,
|
1741 |
+
"learning_rate": 2.3469387755102043e-05,
|
1742 |
+
"loss": 0.0369,
|
1743 |
+
"step": 12000
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 6.735606484069312,
|
1747 |
+
"grad_norm": 1.3617613315582275,
|
1748 |
+
"learning_rate": 2.1251109139307896e-05,
|
1749 |
+
"loss": 0.0338,
|
1750 |
+
"step": 12050
|
1751 |
+
},
|
1752 |
+
{
|
1753 |
+
"epoch": 6.763555058692007,
|
1754 |
+
"grad_norm": 0.13116395473480225,
|
1755 |
+
"learning_rate": 1.9032830523513755e-05,
|
1756 |
+
"loss": 0.0254,
|
1757 |
+
"step": 12100
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 6.791503633314701,
|
1761 |
+
"grad_norm": 0.7528799176216125,
|
1762 |
+
"learning_rate": 1.6814551907719608e-05,
|
1763 |
+
"loss": 0.0322,
|
1764 |
+
"step": 12150
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 6.819452207937395,
|
1768 |
+
"grad_norm": 1.894806146621704,
|
1769 |
+
"learning_rate": 1.4596273291925467e-05,
|
1770 |
+
"loss": 0.0254,
|
1771 |
+
"step": 12200
|
1772 |
+
},
|
1773 |
+
{
|
1774 |
+
"epoch": 6.847400782560089,
|
1775 |
+
"grad_norm": 0.5565615892410278,
|
1776 |
+
"learning_rate": 1.2377994676131324e-05,
|
1777 |
+
"loss": 0.0284,
|
1778 |
+
"step": 12250
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 6.875349357182784,
|
1782 |
+
"grad_norm": 0.45591992139816284,
|
1783 |
+
"learning_rate": 1.015971606033718e-05,
|
1784 |
+
"loss": 0.0356,
|
1785 |
+
"step": 12300
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 6.9032979318054775,
|
1789 |
+
"grad_norm": 1.1384029388427734,
|
1790 |
+
"learning_rate": 7.941437444543036e-06,
|
1791 |
+
"loss": 0.0308,
|
1792 |
+
"step": 12350
|
1793 |
+
},
|
1794 |
+
{
|
1795 |
+
"epoch": 6.931246506428172,
|
1796 |
+
"grad_norm": 0.24669720232486725,
|
1797 |
+
"learning_rate": 5.7231588287488905e-06,
|
1798 |
+
"loss": 0.0385,
|
1799 |
+
"step": 12400
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 6.959195081050867,
|
1803 |
+
"grad_norm": 2.1776230335235596,
|
1804 |
+
"learning_rate": 3.5048802129547475e-06,
|
1805 |
+
"loss": 0.0271,
|
1806 |
+
"step": 12450
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 6.98714365567356,
|
1810 |
+
"grad_norm": 0.8091051578521729,
|
1811 |
+
"learning_rate": 1.2866015971606034e-06,
|
1812 |
+
"loss": 0.0303,
|
1813 |
+
"step": 12500
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 7.0,
|
1817 |
+
"eval_f1": 0.9760225669957687,
|
1818 |
+
"eval_loss": 0.06743501126766205,
|
1819 |
+
"eval_runtime": 16.4262,
|
1820 |
+
"eval_samples_per_second": 222.815,
|
1821 |
+
"eval_steps_per_second": 7.001,
|
1822 |
+
"step": 12523
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 7.0,
|
1826 |
+
"step": 12523,
|
1827 |
+
"total_flos": 2.1045216318570566e+19,
|
1828 |
+
"train_loss": 0.12371139868869004,
|
1829 |
+
"train_runtime": 2341.9199,
|
1830 |
+
"train_samples_per_second": 171.111,
|
1831 |
+
"train_steps_per_second": 5.347
|
1832 |
+
}
|
1833 |
+
],
|
1834 |
+
"logging_steps": 50,
|
1835 |
+
"max_steps": 12523,
|
1836 |
+
"num_input_tokens_seen": 0,
|
1837 |
+
"num_train_epochs": 7,
|
1838 |
+
"save_steps": 500,
|
1839 |
+
"stateful_callbacks": {
|
1840 |
+
"TrainerControl": {
|
1841 |
+
"args": {
|
1842 |
+
"should_epoch_stop": false,
|
1843 |
+
"should_evaluate": false,
|
1844 |
+
"should_log": false,
|
1845 |
+
"should_save": true,
|
1846 |
+
"should_training_stop": true
|
1847 |
+
},
|
1848 |
+
"attributes": {}
|
1849 |
+
}
|
1850 |
+
},
|
1851 |
+
"total_flos": 2.1045216318570566e+19,
|
1852 |
+
"train_batch_size": 32,
|
1853 |
+
"trial_name": null,
|
1854 |
+
"trial_params": null
|
1855 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:018b1cc79f445b7fda77d6931acd6c935bbc6899a188e5565257443a139ef323
|
3 |
+
size 5304
|