Hugging Face's logo

DHEIVER
/
finetuned-BreastCancer-Classification

Image Classification
Transformers
PyTorch
beit
Generated from Trainer
Inference Endpoints
Model card Files Community
DHEIVER commited on
Commit
8ee7670
•
1 Parent(s): 1cf3263

Upload 11 files

Browse files
Files changed (11) hide show
  1. README.md +2 -1
  2. all_results.json +13 -0
  3. config.json +56 -0
  4. eval_results.json +8 -0
  5. gitattributes +35 -0
  6. gitignore +1 -0
  7. preprocessor_config.json +28 -0
  8. pytorch_model.bin +3 -0
  9. train_results.json +8 -0
  10. trainer_state.json +3742 -0
  11. training_args.bin +3 -0
README.md CHANGED
@@ -9,6 +9,7 @@ model-index:
9
  - name: beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled
10
  results: []
11
  ---
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
  should probably proofread and complete it, then remove this comment. -->
14
 
@@ -73,4 +74,4 @@ The following hyperparameters were used during training:
73
  - Transformers 4.31.0
74
  - Pytorch 2.0.1+cu118
75
  - Datasets 2.13.1
76
- - Tokenizers 0.13.3
 
9
  - name: beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled
10
  results: []
11
  ---
12
+
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
  should probably proofread and complete it, then remove this comment. -->
15
 
 
74
  - Transformers 4.31.0
75
  - Pytorch 2.0.1+cu118
76
  - Datasets 2.13.1
77
+ - Tokenizers 0.13.3
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "eval_accuracy": 0.9957587181903864,
4
+ "eval_loss": 0.014596104621887207,
5
+ "eval_runtime": 86.466,
6
+ "eval_samples_per_second": 24.541,
7
+ "eval_steps_per_second": 1.538,
8
+ "total_flos": 2.6189408941190627e+19,
9
+ "train_loss": 0.0015452209050444202,
10
+ "train_runtime": 893.2543,
11
+ "train_samples_per_second": 106.868,
12
+ "train_steps_per_second": 3.342
13
+ }
config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/beit-large-patch16-224",
3
+ "architectures": [
4
+ "BeitForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "auxiliary_channels": 256,
8
+ "auxiliary_concat_input": false,
9
+ "auxiliary_loss_weight": 0.4,
10
+ "auxiliary_num_convs": 1,
11
+ "drop_path_rate": 0.1,
12
+ "hidden_act": "gelu",
13
+ "hidden_dropout_prob": 0.0,
14
+ "hidden_size": 1024,
15
+ "id2label": {
16
+ "0": "benign",
17
+ "1": "malignant"
18
+ },
19
+ "image_size": 224,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 4096,
22
+ "label2id": {
23
+ "benign": 0,
24
+ "malignant": 1
25
+ },
26
+ "layer_norm_eps": 1e-12,
27
+ "layer_scale_init_value": 0.1,
28
+ "model_type": "beit",
29
+ "num_attention_heads": 16,
30
+ "num_channels": 3,
31
+ "num_hidden_layers": 24,
32
+ "out_indices": [
33
+ 3,
34
+ 5,
35
+ 7,
36
+ 11
37
+ ],
38
+ "patch_size": 16,
39
+ "pool_scales": [
40
+ 1,
41
+ 2,
42
+ 3,
43
+ 6
44
+ ],
45
+ "problem_type": "single_label_classification",
46
+ "semantic_loss_ignore_index": 255,
47
+ "torch_dtype": "float32",
48
+ "transformers_version": "4.31.0",
49
+ "use_absolute_position_embeddings": false,
50
+ "use_auxiliary_head": true,
51
+ "use_mask_token": false,
52
+ "use_mean_pooling": true,
53
+ "use_relative_position_bias": true,
54
+ "use_shared_relative_position_bias": false,
55
+ "vocab_size": 8192
56
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "eval_accuracy": 0.9957587181903864,
4
+ "eval_loss": 0.014596104621887207,
5
+ "eval_runtime": 86.466,
6
+ "eval_samples_per_second": 24.541,
7
+ "eval_steps_per_second": 1.538
8
+ }
gitattributes ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *.7z filter=lfs diff=lfs merge=lfs -text
2
+ *.arrow filter=lfs diff=lfs merge=lfs -text
3
+ *.bin filter=lfs diff=lfs merge=lfs -text
4
+ *.bz2 filter=lfs diff=lfs merge=lfs -text
5
+ *.ckpt filter=lfs diff=lfs merge=lfs -text
6
+ *.ftz filter=lfs diff=lfs merge=lfs -text
7
+ *.gz filter=lfs diff=lfs merge=lfs -text
8
+ *.h5 filter=lfs diff=lfs merge=lfs -text
9
+ *.joblib filter=lfs diff=lfs merge=lfs -text
10
+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
11
+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
12
+ *.model filter=lfs diff=lfs merge=lfs -text
13
+ *.msgpack filter=lfs diff=lfs merge=lfs -text
14
+ *.npy filter=lfs diff=lfs merge=lfs -text
15
+ *.npz filter=lfs diff=lfs merge=lfs -text
16
+ *.onnx filter=lfs diff=lfs merge=lfs -text
17
+ *.ot filter=lfs diff=lfs merge=lfs -text
18
+ *.parquet filter=lfs diff=lfs merge=lfs -text
19
+ *.pb filter=lfs diff=lfs merge=lfs -text
20
+ *.pickle filter=lfs diff=lfs merge=lfs -text
21
+ *.pkl filter=lfs diff=lfs merge=lfs -text
22
+ *.pt filter=lfs diff=lfs merge=lfs -text
23
+ *.pth filter=lfs diff=lfs merge=lfs -text
24
+ *.rar filter=lfs diff=lfs merge=lfs -text
25
+ *.safetensors filter=lfs diff=lfs merge=lfs -text
26
+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
27
+ *.tar.* filter=lfs diff=lfs merge=lfs -text
28
+ *.tar filter=lfs diff=lfs merge=lfs -text
29
+ *.tflite filter=lfs diff=lfs merge=lfs -text
30
+ *.tgz filter=lfs diff=lfs merge=lfs -text
31
+ *.wasm filter=lfs diff=lfs merge=lfs -text
32
+ *.xz filter=lfs diff=lfs merge=lfs -text
33
+ *.zip filter=lfs diff=lfs merge=lfs -text
34
+ *.zst filter=lfs diff=lfs merge=lfs -text
35
+ *tfevents* filter=lfs diff=lfs merge=lfs -text
gitignore ADDED
@@ -0,0 +1 @@
 
 
1
+ checkpoint-*/
preprocessor_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": {
3
+ "height": 224,
4
+ "width": 224
5
+ },
6
+ "do_center_crop": false,
7
+ "do_normalize": true,
8
+ "do_reduce_labels": false,
9
+ "do_rescale": true,
10
+ "do_resize": true,
11
+ "image_mean": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "image_processor_type": "BeitImageProcessor",
17
+ "image_std": [
18
+ 0.5,
19
+ 0.5,
20
+ 0.5
21
+ ],
22
+ "resample": 2,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "height": 224,
26
+ "width": 224
27
+ }
28
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c6eca927a142098f2087af163a91dbaf495ee2c2a84ca80b8627f7e44399c23
3
+ size 1213781097
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "total_flos": 2.6189408941190627e+19,
4
+ "train_loss": 0.0015452209050444202,
5
+ "train_runtime": 893.2543,
6
+ "train_samples_per_second": 106.868,
7
+ "train_steps_per_second": 3.342
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,3742 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9957587181903864,
3
+ "best_model_checkpoint": "beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled/checkpoint-2985",
4
+ "epoch": 15.0,
5
+ "global_step": 2985,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 9.304056568663938e-09,
13
+ "loss": 1.0321,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 1.8608113137327877e-08,
19
+ "loss": 0.9905,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.08,
24
+ "learning_rate": 2.7912169705991817e-08,
25
+ "loss": 0.991,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.1,
30
+ "learning_rate": 3.7216226274655753e-08,
31
+ "loss": 1.1258,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.13,
36
+ "learning_rate": 4.652028284331969e-08,
37
+ "loss": 0.9302,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.15,
42
+ "learning_rate": 5.5824339411983633e-08,
43
+ "loss": 1.0139,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.18,
48
+ "learning_rate": 6.512839598064757e-08,
49
+ "loss": 1.0124,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.2,
54
+ "learning_rate": 7.443245254931151e-08,
55
+ "loss": 0.9788,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.23,
60
+ "learning_rate": 8.373650911797545e-08,
61
+ "loss": 0.9479,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.25,
66
+ "learning_rate": 9.304056568663937e-08,
67
+ "loss": 0.9029,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.28,
72
+ "learning_rate": 1.0234462225530333e-07,
73
+ "loss": 0.9973,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.3,
78
+ "learning_rate": 1.1164867882396727e-07,
79
+ "loss": 0.8983,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.33,
84
+ "learning_rate": 1.209527353926312e-07,
85
+ "loss": 0.9177,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.35,
90
+ "learning_rate": 1.3025679196129513e-07,
91
+ "loss": 0.9102,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.38,
96
+ "learning_rate": 1.3956084852995907e-07,
97
+ "loss": 0.8791,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.4,
102
+ "learning_rate": 1.4886490509862301e-07,
103
+ "loss": 0.8303,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.43,
108
+ "learning_rate": 1.5816896166728695e-07,
109
+ "loss": 0.7997,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 0.45,
114
+ "learning_rate": 1.674730182359509e-07,
115
+ "loss": 0.8353,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 0.48,
120
+ "learning_rate": 1.767770748046148e-07,
121
+ "loss": 0.7583,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 0.5,
126
+ "learning_rate": 1.8608113137327875e-07,
127
+ "loss": 0.7995,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 0.53,
132
+ "learning_rate": 1.953851879419427e-07,
133
+ "loss": 0.7684,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 0.55,
138
+ "learning_rate": 2.0468924451060665e-07,
139
+ "loss": 0.7371,
140
+ "step": 110
141
+ },
142
+ {
143
+ "epoch": 0.58,
144
+ "learning_rate": 2.139933010792706e-07,
145
+ "loss": 0.752,
146
+ "step": 115
147
+ },
148
+ {
149
+ "epoch": 0.6,
150
+ "learning_rate": 2.2329735764793453e-07,
151
+ "loss": 0.8275,
152
+ "step": 120
153
+ },
154
+ {
155
+ "epoch": 0.63,
156
+ "learning_rate": 2.3260141421659845e-07,
157
+ "loss": 0.7244,
158
+ "step": 125
159
+ },
160
+ {
161
+ "epoch": 0.65,
162
+ "learning_rate": 2.419054707852624e-07,
163
+ "loss": 0.8018,
164
+ "step": 130
165
+ },
166
+ {
167
+ "epoch": 0.68,
168
+ "learning_rate": 2.5120952735392633e-07,
169
+ "loss": 0.7265,
170
+ "step": 135
171
+ },
172
+ {
173
+ "epoch": 0.7,
174
+ "learning_rate": 2.6051358392259027e-07,
175
+ "loss": 0.7066,
176
+ "step": 140
177
+ },
178
+ {
179
+ "epoch": 0.73,
180
+ "learning_rate": 2.698176404912542e-07,
181
+ "loss": 0.6795,
182
+ "step": 145
183
+ },
184
+ {
185
+ "epoch": 0.75,
186
+ "learning_rate": 2.7912169705991815e-07,
187
+ "loss": 0.6628,
188
+ "step": 150
189
+ },
190
+ {
191
+ "epoch": 0.78,
192
+ "learning_rate": 2.884257536285821e-07,
193
+ "loss": 0.6541,
194
+ "step": 155
195
+ },
196
+ {
197
+ "epoch": 0.8,
198
+ "learning_rate": 2.9772981019724603e-07,
199
+ "loss": 0.5732,
200
+ "step": 160
201
+ },
202
+ {
203
+ "epoch": 0.83,
204
+ "learning_rate": 3.0703386676590997e-07,
205
+ "loss": 0.699,
206
+ "step": 165
207
+ },
208
+ {
209
+ "epoch": 0.85,
210
+ "learning_rate": 3.163379233345739e-07,
211
+ "loss": 0.5896,
212
+ "step": 170
213
+ },
214
+ {
215
+ "epoch": 0.88,
216
+ "learning_rate": 3.2564197990323785e-07,
217
+ "loss": 0.627,
218
+ "step": 175
219
+ },
220
+ {
221
+ "epoch": 0.9,
222
+ "learning_rate": 3.349460364719018e-07,
223
+ "loss": 0.6103,
224
+ "step": 180
225
+ },
226
+ {
227
+ "epoch": 0.93,
228
+ "learning_rate": 3.4425009304056573e-07,
229
+ "loss": 0.572,
230
+ "step": 185
231
+ },
232
+ {
233
+ "epoch": 0.95,
234
+ "learning_rate": 3.535541496092296e-07,
235
+ "loss": 0.5898,
236
+ "step": 190
237
+ },
238
+ {
239
+ "epoch": 0.98,
240
+ "learning_rate": 3.628582061778936e-07,
241
+ "loss": 0.5847,
242
+ "step": 195
243
+ },
244
+ {
245
+ "epoch": 1.0,
246
+ "eval_accuracy": 0.8030160226201697,
247
+ "eval_loss": 0.4639509618282318,
248
+ "eval_runtime": 546.0635,
249
+ "eval_samples_per_second": 3.886,
250
+ "eval_steps_per_second": 0.244,
251
+ "step": 199
252
+ },
253
+ {
254
+ "epoch": 1.01,
255
+ "learning_rate": 3.721622627465575e-07,
256
+ "loss": 0.5601,
257
+ "step": 200
258
+ },
259
+ {
260
+ "epoch": 1.03,
261
+ "learning_rate": 3.814663193152215e-07,
262
+ "loss": 0.5478,
263
+ "step": 205
264
+ },
265
+ {
266
+ "epoch": 1.06,
267
+ "learning_rate": 3.907703758838854e-07,
268
+ "loss": 0.5345,
269
+ "step": 210
270
+ },
271
+ {
272
+ "epoch": 1.08,
273
+ "learning_rate": 4.0007443245254937e-07,
274
+ "loss": 0.4652,
275
+ "step": 215
276
+ },
277
+ {
278
+ "epoch": 1.11,
279
+ "learning_rate": 4.093784890212133e-07,
280
+ "loss": 0.4762,
281
+ "step": 220
282
+ },
283
+ {
284
+ "epoch": 1.13,
285
+ "learning_rate": 4.186825455898772e-07,
286
+ "loss": 0.5008,
287
+ "step": 225
288
+ },
289
+ {
290
+ "epoch": 1.16,
291
+ "learning_rate": 4.279866021585412e-07,
292
+ "loss": 0.515,
293
+ "step": 230
294
+ },
295
+ {
296
+ "epoch": 1.18,
297
+ "learning_rate": 4.372906587272051e-07,
298
+ "loss": 0.4674,
299
+ "step": 235
300
+ },
301
+ {
302
+ "epoch": 1.21,
303
+ "learning_rate": 4.4659471529586907e-07,
304
+ "loss": 0.4464,
305
+ "step": 240
306
+ },
307
+ {
308
+ "epoch": 1.23,
309
+ "learning_rate": 4.5589877186453295e-07,
310
+ "loss": 0.4493,
311
+ "step": 245
312
+ },
313
+ {
314
+ "epoch": 1.26,
315
+ "learning_rate": 4.652028284331969e-07,
316
+ "loss": 0.4473,
317
+ "step": 250
318
+ },
319
+ {
320
+ "epoch": 1.28,
321
+ "learning_rate": 4.7450688500186083e-07,
322
+ "loss": 0.4283,
323
+ "step": 255
324
+ },
325
+ {
326
+ "epoch": 1.31,
327
+ "learning_rate": 4.838109415705248e-07,
328
+ "loss": 0.4304,
329
+ "step": 260
330
+ },
331
+ {
332
+ "epoch": 1.33,
333
+ "learning_rate": 4.931149981391888e-07,
334
+ "loss": 0.3941,
335
+ "step": 265
336
+ },
337
+ {
338
+ "epoch": 1.36,
339
+ "learning_rate": 5.024190547078527e-07,
340
+ "loss": 0.3848,
341
+ "step": 270
342
+ },
343
+ {
344
+ "epoch": 1.38,
345
+ "learning_rate": 5.117231112765166e-07,
346
+ "loss": 0.4018,
347
+ "step": 275
348
+ },
349
+ {
350
+ "epoch": 1.41,
351
+ "learning_rate": 5.210271678451805e-07,
352
+ "loss": 0.4228,
353
+ "step": 280
354
+ },
355
+ {
356
+ "epoch": 1.43,
357
+ "learning_rate": 5.303312244138445e-07,
358
+ "loss": 0.3959,
359
+ "step": 285
360
+ },
361
+ {
362
+ "epoch": 1.46,
363
+ "learning_rate": 5.396352809825084e-07,
364
+ "loss": 0.3868,
365
+ "step": 290
366
+ },
367
+ {
368
+ "epoch": 1.48,
369
+ "learning_rate": 5.489393375511724e-07,
370
+ "loss": 0.4186,
371
+ "step": 295
372
+ },
373
+ {
374
+ "epoch": 1.51,
375
+ "learning_rate": 5.582433941198363e-07,
376
+ "loss": 0.3898,
377
+ "step": 300
378
+ },
379
+ {
380
+ "epoch": 1.53,
381
+ "learning_rate": 5.675474506885002e-07,
382
+ "loss": 0.3181,
383
+ "step": 305
384
+ },
385
+ {
386
+ "epoch": 1.56,
387
+ "learning_rate": 5.768515072571642e-07,
388
+ "loss": 0.3409,
389
+ "step": 310
390
+ },
391
+ {
392
+ "epoch": 1.58,
393
+ "learning_rate": 5.861555638258281e-07,
394
+ "loss": 0.2985,
395
+ "step": 315
396
+ },
397
+ {
398
+ "epoch": 1.61,
399
+ "learning_rate": 5.954596203944921e-07,
400
+ "loss": 0.2872,
401
+ "step": 320
402
+ },
403
+ {
404
+ "epoch": 1.63,
405
+ "learning_rate": 6.047636769631559e-07,
406
+ "loss": 0.295,
407
+ "step": 325
408
+ },
409
+ {
410
+ "epoch": 1.66,
411
+ "learning_rate": 6.140677335318199e-07,
412
+ "loss": 0.2724,
413
+ "step": 330
414
+ },
415
+ {
416
+ "epoch": 1.68,
417
+ "learning_rate": 6.233717901004838e-07,
418
+ "loss": 0.258,
419
+ "step": 335
420
+ },
421
+ {
422
+ "epoch": 1.71,
423
+ "learning_rate": 6.326758466691478e-07,
424
+ "loss": 0.2898,
425
+ "step": 340
426
+ },
427
+ {
428
+ "epoch": 1.73,
429
+ "learning_rate": 6.419799032378117e-07,
430
+ "loss": 0.2536,
431
+ "step": 345
432
+ },
433
+ {
434
+ "epoch": 1.76,
435
+ "learning_rate": 6.512839598064757e-07,
436
+ "loss": 0.2835,
437
+ "step": 350
438
+ },
439
+ {
440
+ "epoch": 1.78,
441
+ "learning_rate": 6.605880163751397e-07,
442
+ "loss": 0.2945,
443
+ "step": 355
444
+ },
445
+ {
446
+ "epoch": 1.81,
447
+ "learning_rate": 6.698920729438036e-07,
448
+ "loss": 0.2847,
449
+ "step": 360
450
+ },
451
+ {
452
+ "epoch": 1.83,
453
+ "learning_rate": 6.791961295124675e-07,
454
+ "loss": 0.2896,
455
+ "step": 365
456
+ },
457
+ {
458
+ "epoch": 1.86,
459
+ "learning_rate": 6.885001860811315e-07,
460
+ "loss": 0.2419,
461
+ "step": 370
462
+ },
463
+ {
464
+ "epoch": 1.88,
465
+ "learning_rate": 6.978042426497953e-07,
466
+ "loss": 0.2376,
467
+ "step": 375
468
+ },
469
+ {
470
+ "epoch": 1.91,
471
+ "learning_rate": 7.071082992184592e-07,
472
+ "loss": 0.2615,
473
+ "step": 380
474
+ },
475
+ {
476
+ "epoch": 1.93,
477
+ "learning_rate": 7.164123557871232e-07,
478
+ "loss": 0.2602,
479
+ "step": 385
480
+ },
481
+ {
482
+ "epoch": 1.96,
483
+ "learning_rate": 7.257164123557872e-07,
484
+ "loss": 0.2455,
485
+ "step": 390
486
+ },
487
+ {
488
+ "epoch": 1.98,
489
+ "learning_rate": 7.350204689244511e-07,
490
+ "loss": 0.2856,
491
+ "step": 395
492
+ },
493
+ {
494
+ "epoch": 2.0,
495
+ "eval_accuracy": 0.9354382657869934,
496
+ "eval_loss": 0.17528533935546875,
497
+ "eval_runtime": 86.4492,
498
+ "eval_samples_per_second": 24.546,
499
+ "eval_steps_per_second": 1.538,
500
+ "step": 398
501
+ },
502
+ {
503
+ "epoch": 2.01,
504
+ "learning_rate": 7.44324525493115e-07,
505
+ "loss": 0.2498,
506
+ "step": 400
507
+ },
508
+ {
509
+ "epoch": 2.04,
510
+ "learning_rate": 7.536285820617791e-07,
511
+ "loss": 0.2269,
512
+ "step": 405
513
+ },
514
+ {
515
+ "epoch": 2.06,
516
+ "learning_rate": 7.62932638630443e-07,
517
+ "loss": 0.2345,
518
+ "step": 410
519
+ },
520
+ {
521
+ "epoch": 2.09,
522
+ "learning_rate": 7.722366951991069e-07,
523
+ "loss": 0.2149,
524
+ "step": 415
525
+ },
526
+ {
527
+ "epoch": 2.11,
528
+ "learning_rate": 7.815407517677707e-07,
529
+ "loss": 0.1939,
530
+ "step": 420
531
+ },
532
+ {
533
+ "epoch": 2.14,
534
+ "learning_rate": 7.908448083364347e-07,
535
+ "loss": 0.2543,
536
+ "step": 425
537
+ },
538
+ {
539
+ "epoch": 2.16,
540
+ "learning_rate": 8.001488649050987e-07,
541
+ "loss": 0.1779,
542
+ "step": 430
543
+ },
544
+ {
545
+ "epoch": 2.19,
546
+ "learning_rate": 8.094529214737626e-07,
547
+ "loss": 0.1749,
548
+ "step": 435
549
+ },
550
+ {
551
+ "epoch": 2.21,
552
+ "learning_rate": 8.187569780424266e-07,
553
+ "loss": 0.2132,
554
+ "step": 440
555
+ },
556
+ {
557
+ "epoch": 2.24,
558
+ "learning_rate": 8.280610346110905e-07,
559
+ "loss": 0.2808,
560
+ "step": 445
561
+ },
562
+ {
563
+ "epoch": 2.26,
564
+ "learning_rate": 8.373650911797544e-07,
565
+ "loss": 0.1961,
566
+ "step": 450
567
+ },
568
+ {
569
+ "epoch": 2.29,
570
+ "learning_rate": 8.466691477484183e-07,
571
+ "loss": 0.1777,
572
+ "step": 455
573
+ },
574
+ {
575
+ "epoch": 2.31,
576
+ "learning_rate": 8.559732043170824e-07,
577
+ "loss": 0.1996,
578
+ "step": 460
579
+ },
580
+ {
581
+ "epoch": 2.34,
582
+ "learning_rate": 8.652772608857463e-07,
583
+ "loss": 0.1759,
584
+ "step": 465
585
+ },
586
+ {
587
+ "epoch": 2.36,
588
+ "learning_rate": 8.745813174544101e-07,
589
+ "loss": 0.2076,
590
+ "step": 470
591
+ },
592
+ {
593
+ "epoch": 2.39,
594
+ "learning_rate": 8.838853740230742e-07,
595
+ "loss": 0.2393,
596
+ "step": 475
597
+ },
598
+ {
599
+ "epoch": 2.41,
600
+ "learning_rate": 8.931894305917381e-07,
601
+ "loss": 0.1882,
602
+ "step": 480
603
+ },
604
+ {
605
+ "epoch": 2.44,
606
+ "learning_rate": 9.02493487160402e-07,
607
+ "loss": 0.1938,
608
+ "step": 485
609
+ },
610
+ {
611
+ "epoch": 2.46,
612
+ "learning_rate": 9.117975437290659e-07,
613
+ "loss": 0.2034,
614
+ "step": 490
615
+ },
616
+ {
617
+ "epoch": 2.49,
618
+ "learning_rate": 9.211016002977299e-07,
619
+ "loss": 0.2372,
620
+ "step": 495
621
+ },
622
+ {
623
+ "epoch": 2.51,
624
+ "learning_rate": 9.304056568663938e-07,
625
+ "loss": 0.1723,
626
+ "step": 500
627
+ },
628
+ {
629
+ "epoch": 2.54,
630
+ "learning_rate": 9.397097134350578e-07,
631
+ "loss": 0.2127,
632
+ "step": 505
633
+ },
634
+ {
635
+ "epoch": 2.56,
636
+ "learning_rate": 9.490137700037217e-07,
637
+ "loss": 0.1834,
638
+ "step": 510
639
+ },
640
+ {
641
+ "epoch": 2.59,
642
+ "learning_rate": 9.583178265723858e-07,
643
+ "loss": 0.1707,
644
+ "step": 515
645
+ },
646
+ {
647
+ "epoch": 2.61,
648
+ "learning_rate": 9.676218831410495e-07,
649
+ "loss": 0.161,
650
+ "step": 520
651
+ },
652
+ {
653
+ "epoch": 2.64,
654
+ "learning_rate": 9.769259397097135e-07,
655
+ "loss": 0.3031,
656
+ "step": 525
657
+ },
658
+ {
659
+ "epoch": 2.66,
660
+ "learning_rate": 9.862299962783775e-07,
661
+ "loss": 0.1769,
662
+ "step": 530
663
+ },
664
+ {
665
+ "epoch": 2.69,
666
+ "learning_rate": 9.955340528470413e-07,
667
+ "loss": 0.1879,
668
+ "step": 535
669
+ },
670
+ {
671
+ "epoch": 2.71,
672
+ "learning_rate": 1.0048381094157053e-06,
673
+ "loss": 0.1567,
674
+ "step": 540
675
+ },
676
+ {
677
+ "epoch": 2.74,
678
+ "learning_rate": 1.0141421659843693e-06,
679
+ "loss": 0.2025,
680
+ "step": 545
681
+ },
682
+ {
683
+ "epoch": 2.76,
684
+ "learning_rate": 1.0234462225530333e-06,
685
+ "loss": 0.2344,
686
+ "step": 550
687
+ },
688
+ {
689
+ "epoch": 2.79,
690
+ "learning_rate": 1.032750279121697e-06,
691
+ "loss": 0.2667,
692
+ "step": 555
693
+ },
694
+ {
695
+ "epoch": 2.81,
696
+ "learning_rate": 1.042054335690361e-06,
697
+ "loss": 0.175,
698
+ "step": 560
699
+ },
700
+ {
701
+ "epoch": 2.84,
702
+ "learning_rate": 1.051358392259025e-06,
703
+ "loss": 0.2166,
704
+ "step": 565
705
+ },
706
+ {
707
+ "epoch": 2.86,
708
+ "learning_rate": 1.060662448827689e-06,
709
+ "loss": 0.1611,
710
+ "step": 570
711
+ },
712
+ {
713
+ "epoch": 2.89,
714
+ "learning_rate": 1.0699665053963528e-06,
715
+ "loss": 0.2097,
716
+ "step": 575
717
+ },
718
+ {
719
+ "epoch": 2.91,
720
+ "learning_rate": 1.0792705619650168e-06,
721
+ "loss": 0.2383,
722
+ "step": 580
723
+ },
724
+ {
725
+ "epoch": 2.94,
726
+ "learning_rate": 1.0885746185336808e-06,
727
+ "loss": 0.1844,
728
+ "step": 585
729
+ },
730
+ {
731
+ "epoch": 2.96,
732
+ "learning_rate": 1.0978786751023448e-06,
733
+ "loss": 0.1883,
734
+ "step": 590
735
+ },
736
+ {
737
+ "epoch": 2.99,
738
+ "learning_rate": 1.1071827316710086e-06,
739
+ "loss": 0.156,
740
+ "step": 595
741
+ },
742
+ {
743
+ "epoch": 3.0,
744
+ "eval_accuracy": 0.9552309142318567,
745
+ "eval_loss": 0.11788399517536163,
746
+ "eval_runtime": 86.2903,
747
+ "eval_samples_per_second": 24.591,
748
+ "eval_steps_per_second": 1.541,
749
+ "step": 597
750
+ },
751
+ {
752
+ "epoch": 3.02,
753
+ "learning_rate": 1.1164867882396726e-06,
754
+ "loss": 0.1402,
755
+ "step": 600
756
+ },
757
+ {
758
+ "epoch": 3.04,
759
+ "learning_rate": 1.1257908448083366e-06,
760
+ "loss": 0.2268,
761
+ "step": 605
762
+ },
763
+ {
764
+ "epoch": 3.07,
765
+ "learning_rate": 1.1350949013770004e-06,
766
+ "loss": 0.1681,
767
+ "step": 610
768
+ },
769
+ {
770
+ "epoch": 3.09,
771
+ "learning_rate": 1.1443989579456644e-06,
772
+ "loss": 0.1039,
773
+ "step": 615
774
+ },
775
+ {
776
+ "epoch": 3.12,
777
+ "learning_rate": 1.1537030145143283e-06,
778
+ "loss": 0.099,
779
+ "step": 620
780
+ },
781
+ {
782
+ "epoch": 3.14,
783
+ "learning_rate": 1.1630070710829923e-06,
784
+ "loss": 0.1558,
785
+ "step": 625
786
+ },
787
+ {
788
+ "epoch": 3.17,
789
+ "learning_rate": 1.1723111276516561e-06,
790
+ "loss": 0.1635,
791
+ "step": 630
792
+ },
793
+ {
794
+ "epoch": 3.19,
795
+ "learning_rate": 1.1816151842203201e-06,
796
+ "loss": 0.2037,
797
+ "step": 635
798
+ },
799
+ {
800
+ "epoch": 3.22,
801
+ "learning_rate": 1.1909192407889841e-06,
802
+ "loss": 0.1673,
803
+ "step": 640
804
+ },
805
+ {
806
+ "epoch": 3.24,
807
+ "learning_rate": 1.200223297357648e-06,
808
+ "loss": 0.1065,
809
+ "step": 645
810
+ },
811
+ {
812
+ "epoch": 3.27,
813
+ "learning_rate": 1.2095273539263119e-06,
814
+ "loss": 0.1771,
815
+ "step": 650
816
+ },
817
+ {
818
+ "epoch": 3.29,
819
+ "learning_rate": 1.2188314104949759e-06,
820
+ "loss": 0.1563,
821
+ "step": 655
822
+ },
823
+ {
824
+ "epoch": 3.32,
825
+ "learning_rate": 1.2281354670636399e-06,
826
+ "loss": 0.178,
827
+ "step": 660
828
+ },
829
+ {
830
+ "epoch": 3.34,
831
+ "learning_rate": 1.2374395236323039e-06,
832
+ "loss": 0.1881,
833
+ "step": 665
834
+ },
835
+ {
836
+ "epoch": 3.37,
837
+ "learning_rate": 1.2467435802009676e-06,
838
+ "loss": 0.2181,
839
+ "step": 670
840
+ },
841
+ {
842
+ "epoch": 3.39,
843
+ "learning_rate": 1.2560476367696316e-06,
844
+ "loss": 0.1146,
845
+ "step": 675
846
+ },
847
+ {
848
+ "epoch": 3.42,
849
+ "learning_rate": 1.2653516933382956e-06,
850
+ "loss": 0.1517,
851
+ "step": 680
852
+ },
853
+ {
854
+ "epoch": 3.44,
855
+ "learning_rate": 1.2746557499069594e-06,
856
+ "loss": 0.1578,
857
+ "step": 685
858
+ },
859
+ {
860
+ "epoch": 3.47,
861
+ "learning_rate": 1.2839598064756234e-06,
862
+ "loss": 0.1616,
863
+ "step": 690
864
+ },
865
+ {
866
+ "epoch": 3.49,
867
+ "learning_rate": 1.2932638630442874e-06,
868
+ "loss": 0.1427,
869
+ "step": 695
870
+ },
871
+ {
872
+ "epoch": 3.52,
873
+ "learning_rate": 1.3025679196129514e-06,
874
+ "loss": 0.1389,
875
+ "step": 700
876
+ },
877
+ {
878
+ "epoch": 3.54,
879
+ "learning_rate": 1.3118719761816154e-06,
880
+ "loss": 0.1678,
881
+ "step": 705
882
+ },
883
+ {
884
+ "epoch": 3.57,
885
+ "learning_rate": 1.3211760327502794e-06,
886
+ "loss": 0.0795,
887
+ "step": 710
888
+ },
889
+ {
890
+ "epoch": 3.59,
891
+ "learning_rate": 1.3304800893189432e-06,
892
+ "loss": 0.1571,
893
+ "step": 715
894
+ },
895
+ {
896
+ "epoch": 3.62,
897
+ "learning_rate": 1.3397841458876071e-06,
898
+ "loss": 0.1405,
899
+ "step": 720
900
+ },
901
+ {
902
+ "epoch": 3.64,
903
+ "learning_rate": 1.349088202456271e-06,
904
+ "loss": 0.1477,
905
+ "step": 725
906
+ },
907
+ {
908
+ "epoch": 3.67,
909
+ "learning_rate": 1.358392259024935e-06,
910
+ "loss": 0.1592,
911
+ "step": 730
912
+ },
913
+ {
914
+ "epoch": 3.69,
915
+ "learning_rate": 1.3676963155935991e-06,
916
+ "loss": 0.1094,
917
+ "step": 735
918
+ },
919
+ {
920
+ "epoch": 3.72,
921
+ "learning_rate": 1.377000372162263e-06,
922
+ "loss": 0.1518,
923
+ "step": 740
924
+ },
925
+ {
926
+ "epoch": 3.74,
927
+ "learning_rate": 1.386304428730927e-06,
928
+ "loss": 0.0673,
929
+ "step": 745
930
+ },
931
+ {
932
+ "epoch": 3.77,
933
+ "learning_rate": 1.3956084852995907e-06,
934
+ "loss": 0.1078,
935
+ "step": 750
936
+ },
937
+ {
938
+ "epoch": 3.79,
939
+ "learning_rate": 1.4049125418682547e-06,
940
+ "loss": 0.1396,
941
+ "step": 755
942
+ },
943
+ {
944
+ "epoch": 3.82,
945
+ "learning_rate": 1.4142165984369185e-06,
946
+ "loss": 0.1748,
947
+ "step": 760
948
+ },
949
+ {
950
+ "epoch": 3.84,
951
+ "learning_rate": 1.4235206550055824e-06,
952
+ "loss": 0.1354,
953
+ "step": 765
954
+ },
955
+ {
956
+ "epoch": 3.87,
957
+ "learning_rate": 1.4328247115742464e-06,
958
+ "loss": 0.1234,
959
+ "step": 770
960
+ },
961
+ {
962
+ "epoch": 3.89,
963
+ "learning_rate": 1.4421287681429104e-06,
964
+ "loss": 0.117,
965
+ "step": 775
966
+ },
967
+ {
968
+ "epoch": 3.92,
969
+ "learning_rate": 1.4514328247115744e-06,
970
+ "loss": 0.0658,
971
+ "step": 780
972
+ },
973
+ {
974
+ "epoch": 3.94,
975
+ "learning_rate": 1.4607368812802384e-06,
976
+ "loss": 0.1081,
977
+ "step": 785
978
+ },
979
+ {
980
+ "epoch": 3.97,
981
+ "learning_rate": 1.4700409378489022e-06,
982
+ "loss": 0.1429,
983
+ "step": 790
984
+ },
985
+ {
986
+ "epoch": 3.99,
987
+ "learning_rate": 1.4793449944175662e-06,
988
+ "loss": 0.1049,
989
+ "step": 795
990
+ },
991
+ {
992
+ "epoch": 4.0,
993
+ "eval_accuracy": 0.9585296889726673,
994
+ "eval_loss": 0.10429327189922333,
995
+ "eval_runtime": 86.1413,
996
+ "eval_samples_per_second": 24.634,
997
+ "eval_steps_per_second": 1.544,
998
+ "step": 796
999
+ },
1000
+ {
1001
+ "epoch": 4.02,
1002
+ "learning_rate": 1.48864905098623e-06,
1003
+ "loss": 0.061,
1004
+ "step": 800
1005
+ },
1006
+ {
1007
+ "epoch": 4.05,
1008
+ "learning_rate": 1.497953107554894e-06,
1009
+ "loss": 0.0704,
1010
+ "step": 805
1011
+ },
1012
+ {
1013
+ "epoch": 4.07,
1014
+ "learning_rate": 1.5072571641235582e-06,
1015
+ "loss": 0.0991,
1016
+ "step": 810
1017
+ },
1018
+ {
1019
+ "epoch": 4.1,
1020
+ "learning_rate": 1.516561220692222e-06,
1021
+ "loss": 0.0888,
1022
+ "step": 815
1023
+ },
1024
+ {
1025
+ "epoch": 4.12,
1026
+ "learning_rate": 1.525865277260886e-06,
1027
+ "loss": 0.1584,
1028
+ "step": 820
1029
+ },
1030
+ {
1031
+ "epoch": 4.15,
1032
+ "learning_rate": 1.5351693338295497e-06,
1033
+ "loss": 0.1265,
1034
+ "step": 825
1035
+ },
1036
+ {
1037
+ "epoch": 4.17,
1038
+ "learning_rate": 1.5444733903982137e-06,
1039
+ "loss": 0.1607,
1040
+ "step": 830
1041
+ },
1042
+ {
1043
+ "epoch": 4.2,
1044
+ "learning_rate": 1.5537774469668775e-06,
1045
+ "loss": 0.114,
1046
+ "step": 835
1047
+ },
1048
+ {
1049
+ "epoch": 4.22,
1050
+ "learning_rate": 1.5630815035355415e-06,
1051
+ "loss": 0.1134,
1052
+ "step": 840
1053
+ },
1054
+ {
1055
+ "epoch": 4.25,
1056
+ "learning_rate": 1.5723855601042057e-06,
1057
+ "loss": 0.1024,
1058
+ "step": 845
1059
+ },
1060
+ {
1061
+ "epoch": 4.27,
1062
+ "learning_rate": 1.5816896166728695e-06,
1063
+ "loss": 0.1006,
1064
+ "step": 850
1065
+ },
1066
+ {
1067
+ "epoch": 4.3,
1068
+ "learning_rate": 1.5909936732415335e-06,
1069
+ "loss": 0.1013,
1070
+ "step": 855
1071
+ },
1072
+ {
1073
+ "epoch": 4.32,
1074
+ "learning_rate": 1.6002977298101975e-06,
1075
+ "loss": 0.1359,
1076
+ "step": 860
1077
+ },
1078
+ {
1079
+ "epoch": 4.35,
1080
+ "learning_rate": 1.6096017863788612e-06,
1081
+ "loss": 0.075,
1082
+ "step": 865
1083
+ },
1084
+ {
1085
+ "epoch": 4.37,
1086
+ "learning_rate": 1.6189058429475252e-06,
1087
+ "loss": 0.0676,
1088
+ "step": 870
1089
+ },
1090
+ {
1091
+ "epoch": 4.4,
1092
+ "learning_rate": 1.628209899516189e-06,
1093
+ "loss": 0.1029,
1094
+ "step": 875
1095
+ },
1096
+ {
1097
+ "epoch": 4.42,
1098
+ "learning_rate": 1.6375139560848532e-06,
1099
+ "loss": 0.0982,
1100
+ "step": 880
1101
+ },
1102
+ {
1103
+ "epoch": 4.45,
1104
+ "learning_rate": 1.6468180126535172e-06,
1105
+ "loss": 0.0897,
1106
+ "step": 885
1107
+ },
1108
+ {
1109
+ "epoch": 4.47,
1110
+ "learning_rate": 1.656122069222181e-06,
1111
+ "loss": 0.0857,
1112
+ "step": 890
1113
+ },
1114
+ {
1115
+ "epoch": 4.5,
1116
+ "learning_rate": 1.665426125790845e-06,
1117
+ "loss": 0.0976,
1118
+ "step": 895
1119
+ },
1120
+ {
1121
+ "epoch": 4.52,
1122
+ "learning_rate": 1.6747301823595088e-06,
1123
+ "loss": 0.0929,
1124
+ "step": 900
1125
+ },
1126
+ {
1127
+ "epoch": 4.55,
1128
+ "learning_rate": 1.6840342389281728e-06,
1129
+ "loss": 0.1258,
1130
+ "step": 905
1131
+ },
1132
+ {
1133
+ "epoch": 4.57,
1134
+ "learning_rate": 1.6933382954968365e-06,
1135
+ "loss": 0.1,
1136
+ "step": 910
1137
+ },
1138
+ {
1139
+ "epoch": 4.6,
1140
+ "learning_rate": 1.7026423520655008e-06,
1141
+ "loss": 0.0895,
1142
+ "step": 915
1143
+ },
1144
+ {
1145
+ "epoch": 4.62,
1146
+ "learning_rate": 1.7119464086341647e-06,
1147
+ "loss": 0.0998,
1148
+ "step": 920
1149
+ },
1150
+ {
1151
+ "epoch": 4.65,
1152
+ "learning_rate": 1.7212504652028285e-06,
1153
+ "loss": 0.0978,
1154
+ "step": 925
1155
+ },
1156
+ {
1157
+ "epoch": 4.67,
1158
+ "learning_rate": 1.7305545217714925e-06,
1159
+ "loss": 0.1337,
1160
+ "step": 930
1161
+ },
1162
+ {
1163
+ "epoch": 4.7,
1164
+ "learning_rate": 1.7398585783401565e-06,
1165
+ "loss": 0.1351,
1166
+ "step": 935
1167
+ },
1168
+ {
1169
+ "epoch": 4.72,
1170
+ "learning_rate": 1.7491626349088203e-06,
1171
+ "loss": 0.1343,
1172
+ "step": 940
1173
+ },
1174
+ {
1175
+ "epoch": 4.75,
1176
+ "learning_rate": 1.7584666914774843e-06,
1177
+ "loss": 0.0921,
1178
+ "step": 945
1179
+ },
1180
+ {
1181
+ "epoch": 4.77,
1182
+ "learning_rate": 1.7677707480461485e-06,
1183
+ "loss": 0.1295,
1184
+ "step": 950
1185
+ },
1186
+ {
1187
+ "epoch": 4.8,
1188
+ "learning_rate": 1.7770748046148123e-06,
1189
+ "loss": 0.1301,
1190
+ "step": 955
1191
+ },
1192
+ {
1193
+ "epoch": 4.82,
1194
+ "learning_rate": 1.7863788611834763e-06,
1195
+ "loss": 0.1056,
1196
+ "step": 960
1197
+ },
1198
+ {
1199
+ "epoch": 4.85,
1200
+ "learning_rate": 1.79568291775214e-06,
1201
+ "loss": 0.1165,
1202
+ "step": 965
1203
+ },
1204
+ {
1205
+ "epoch": 4.87,
1206
+ "learning_rate": 1.804986974320804e-06,
1207
+ "loss": 0.0901,
1208
+ "step": 970
1209
+ },
1210
+ {
1211
+ "epoch": 4.9,
1212
+ "learning_rate": 1.8142910308894678e-06,
1213
+ "loss": 0.0674,
1214
+ "step": 975
1215
+ },
1216
+ {
1217
+ "epoch": 4.92,
1218
+ "learning_rate": 1.8235950874581318e-06,
1219
+ "loss": 0.1295,
1220
+ "step": 980
1221
+ },
1222
+ {
1223
+ "epoch": 4.95,
1224
+ "learning_rate": 1.8328991440267956e-06,
1225
+ "loss": 0.1309,
1226
+ "step": 985
1227
+ },
1228
+ {
1229
+ "epoch": 4.97,
1230
+ "learning_rate": 1.8422032005954598e-06,
1231
+ "loss": 0.1613,
1232
+ "step": 990
1233
+ },
1234
+ {
1235
+ "epoch": 5.0,
1236
+ "learning_rate": 1.8515072571641238e-06,
1237
+ "loss": 0.1399,
1238
+ "step": 995
1239
+ },
1240
+ {
1241
+ "epoch": 5.0,
1242
+ "eval_accuracy": 0.9759660697455231,
1243
+ "eval_loss": 0.06734614074230194,
1244
+ "eval_runtime": 86.224,
1245
+ "eval_samples_per_second": 24.61,
1246
+ "eval_steps_per_second": 1.542,
1247
+ "step": 995
1248
+ },
1249
+ {
1250
+ "epoch": 5.03,
1251
+ "learning_rate": 1.8608113137327876e-06,
1252
+ "loss": 0.0825,
1253
+ "step": 1000
1254
+ },
1255
+ {
1256
+ "epoch": 5.05,
1257
+ "learning_rate": 1.8701153703014516e-06,
1258
+ "loss": 0.0851,
1259
+ "step": 1005
1260
+ },
1261
+ {
1262
+ "epoch": 5.08,
1263
+ "learning_rate": 1.8794194268701156e-06,
1264
+ "loss": 0.1067,
1265
+ "step": 1010
1266
+ },
1267
+ {
1268
+ "epoch": 5.1,
1269
+ "learning_rate": 1.8887234834387793e-06,
1270
+ "loss": 0.0964,
1271
+ "step": 1015
1272
+ },
1273
+ {
1274
+ "epoch": 5.13,
1275
+ "learning_rate": 1.8980275400074433e-06,
1276
+ "loss": 0.097,
1277
+ "step": 1020
1278
+ },
1279
+ {
1280
+ "epoch": 5.15,
1281
+ "learning_rate": 1.9073315965761075e-06,
1282
+ "loss": 0.1145,
1283
+ "step": 1025
1284
+ },
1285
+ {
1286
+ "epoch": 5.18,
1287
+ "learning_rate": 1.9166356531447715e-06,
1288
+ "loss": 0.1044,
1289
+ "step": 1030
1290
+ },
1291
+ {
1292
+ "epoch": 5.2,
1293
+ "learning_rate": 1.925939709713435e-06,
1294
+ "loss": 0.0721,
1295
+ "step": 1035
1296
+ },
1297
+ {
1298
+ "epoch": 5.23,
1299
+ "learning_rate": 1.935243766282099e-06,
1300
+ "loss": 0.0841,
1301
+ "step": 1040
1302
+ },
1303
+ {
1304
+ "epoch": 5.25,
1305
+ "learning_rate": 1.944547822850763e-06,
1306
+ "loss": 0.0799,
1307
+ "step": 1045
1308
+ },
1309
+ {
1310
+ "epoch": 5.28,
1311
+ "learning_rate": 1.953851879419427e-06,
1312
+ "loss": 0.0914,
1313
+ "step": 1050
1314
+ },
1315
+ {
1316
+ "epoch": 5.3,
1317
+ "learning_rate": 1.9631559359880906e-06,
1318
+ "loss": 0.0887,
1319
+ "step": 1055
1320
+ },
1321
+ {
1322
+ "epoch": 5.33,
1323
+ "learning_rate": 1.972459992556755e-06,
1324
+ "loss": 0.1541,
1325
+ "step": 1060
1326
+ },
1327
+ {
1328
+ "epoch": 5.35,
1329
+ "learning_rate": 1.981764049125419e-06,
1330
+ "loss": 0.0694,
1331
+ "step": 1065
1332
+ },
1333
+ {
1334
+ "epoch": 5.38,
1335
+ "learning_rate": 1.9910681056940826e-06,
1336
+ "loss": 0.0976,
1337
+ "step": 1070
1338
+ },
1339
+ {
1340
+ "epoch": 5.4,
1341
+ "learning_rate": 2.0003721622627466e-06,
1342
+ "loss": 0.0959,
1343
+ "step": 1075
1344
+ },
1345
+ {
1346
+ "epoch": 5.43,
1347
+ "learning_rate": 2.0096762188314106e-06,
1348
+ "loss": 0.152,
1349
+ "step": 1080
1350
+ },
1351
+ {
1352
+ "epoch": 5.45,
1353
+ "learning_rate": 2.0189802754000746e-06,
1354
+ "loss": 0.0926,
1355
+ "step": 1085
1356
+ },
1357
+ {
1358
+ "epoch": 5.48,
1359
+ "learning_rate": 2.0282843319687386e-06,
1360
+ "loss": 0.0631,
1361
+ "step": 1090
1362
+ },
1363
+ {
1364
+ "epoch": 5.5,
1365
+ "learning_rate": 2.0375883885374026e-06,
1366
+ "loss": 0.0836,
1367
+ "step": 1095
1368
+ },
1369
+ {
1370
+ "epoch": 5.53,
1371
+ "learning_rate": 2.0468924451060666e-06,
1372
+ "loss": 0.0454,
1373
+ "step": 1100
1374
+ },
1375
+ {
1376
+ "epoch": 5.55,
1377
+ "learning_rate": 2.0561965016747306e-06,
1378
+ "loss": 0.099,
1379
+ "step": 1105
1380
+ },
1381
+ {
1382
+ "epoch": 5.58,
1383
+ "learning_rate": 2.065500558243394e-06,
1384
+ "loss": 0.1053,
1385
+ "step": 1110
1386
+ },
1387
+ {
1388
+ "epoch": 5.6,
1389
+ "learning_rate": 2.074804614812058e-06,
1390
+ "loss": 0.0905,
1391
+ "step": 1115
1392
+ },
1393
+ {
1394
+ "epoch": 5.63,
1395
+ "learning_rate": 2.084108671380722e-06,
1396
+ "loss": 0.0572,
1397
+ "step": 1120
1398
+ },
1399
+ {
1400
+ "epoch": 5.65,
1401
+ "learning_rate": 2.093412727949386e-06,
1402
+ "loss": 0.0706,
1403
+ "step": 1125
1404
+ },
1405
+ {
1406
+ "epoch": 5.68,
1407
+ "learning_rate": 2.10271678451805e-06,
1408
+ "loss": 0.0367,
1409
+ "step": 1130
1410
+ },
1411
+ {
1412
+ "epoch": 5.7,
1413
+ "learning_rate": 2.112020841086714e-06,
1414
+ "loss": 0.0911,
1415
+ "step": 1135
1416
+ },
1417
+ {
1418
+ "epoch": 5.73,
1419
+ "learning_rate": 2.121324897655378e-06,
1420
+ "loss": 0.0173,
1421
+ "step": 1140
1422
+ },
1423
+ {
1424
+ "epoch": 5.75,
1425
+ "learning_rate": 2.1306289542240417e-06,
1426
+ "loss": 0.0539,
1427
+ "step": 1145
1428
+ },
1429
+ {
1430
+ "epoch": 5.78,
1431
+ "learning_rate": 2.1399330107927057e-06,
1432
+ "loss": 0.0476,
1433
+ "step": 1150
1434
+ },
1435
+ {
1436
+ "epoch": 5.8,
1437
+ "learning_rate": 2.1492370673613697e-06,
1438
+ "loss": 0.081,
1439
+ "step": 1155
1440
+ },
1441
+ {
1442
+ "epoch": 5.83,
1443
+ "learning_rate": 2.1585411239300337e-06,
1444
+ "loss": 0.1207,
1445
+ "step": 1160
1446
+ },
1447
+ {
1448
+ "epoch": 5.85,
1449
+ "learning_rate": 2.1678451804986976e-06,
1450
+ "loss": 0.0899,
1451
+ "step": 1165
1452
+ },
1453
+ {
1454
+ "epoch": 5.88,
1455
+ "learning_rate": 2.1771492370673616e-06,
1456
+ "loss": 0.0756,
1457
+ "step": 1170
1458
+ },
1459
+ {
1460
+ "epoch": 5.9,
1461
+ "learning_rate": 2.1864532936360256e-06,
1462
+ "loss": 0.0723,
1463
+ "step": 1175
1464
+ },
1465
+ {
1466
+ "epoch": 5.93,
1467
+ "learning_rate": 2.1957573502046896e-06,
1468
+ "loss": 0.0478,
1469
+ "step": 1180
1470
+ },
1471
+ {
1472
+ "epoch": 5.95,
1473
+ "learning_rate": 2.205061406773353e-06,
1474
+ "loss": 0.0873,
1475
+ "step": 1185
1476
+ },
1477
+ {
1478
+ "epoch": 5.98,
1479
+ "learning_rate": 2.214365463342017e-06,
1480
+ "loss": 0.0423,
1481
+ "step": 1190
1482
+ },
1483
+ {
1484
+ "epoch": 6.0,
1485
+ "eval_accuracy": 0.9802073515551367,
1486
+ "eval_loss": 0.04545706510543823,
1487
+ "eval_runtime": 86.1094,
1488
+ "eval_samples_per_second": 24.643,
1489
+ "eval_steps_per_second": 1.545,
1490
+ "step": 1194
1491
+ },
1492
+ {
1493
+ "epoch": 6.01,
1494
+ "learning_rate": 2.223669519910681e-06,
1495
+ "loss": 0.1062,
1496
+ "step": 1195
1497
+ },
1498
+ {
1499
+ "epoch": 6.03,
1500
+ "learning_rate": 2.232973576479345e-06,
1501
+ "loss": 0.1422,
1502
+ "step": 1200
1503
+ },
1504
+ {
1505
+ "epoch": 6.06,
1506
+ "learning_rate": 2.242277633048009e-06,
1507
+ "loss": 0.049,
1508
+ "step": 1205
1509
+ },
1510
+ {
1511
+ "epoch": 6.08,
1512
+ "learning_rate": 2.251581689616673e-06,
1513
+ "loss": 0.0623,
1514
+ "step": 1210
1515
+ },
1516
+ {
1517
+ "epoch": 6.11,
1518
+ "learning_rate": 2.260885746185337e-06,
1519
+ "loss": 0.0888,
1520
+ "step": 1215
1521
+ },
1522
+ {
1523
+ "epoch": 6.13,
1524
+ "learning_rate": 2.2701898027540007e-06,
1525
+ "loss": 0.0561,
1526
+ "step": 1220
1527
+ },
1528
+ {
1529
+ "epoch": 6.16,
1530
+ "learning_rate": 2.2794938593226647e-06,
1531
+ "loss": 0.0618,
1532
+ "step": 1225
1533
+ },
1534
+ {
1535
+ "epoch": 6.18,
1536
+ "learning_rate": 2.2887979158913287e-06,
1537
+ "loss": 0.0997,
1538
+ "step": 1230
1539
+ },
1540
+ {
1541
+ "epoch": 6.21,
1542
+ "learning_rate": 2.2981019724599927e-06,
1543
+ "loss": 0.0918,
1544
+ "step": 1235
1545
+ },
1546
+ {
1547
+ "epoch": 6.23,
1548
+ "learning_rate": 2.3074060290286567e-06,
1549
+ "loss": 0.066,
1550
+ "step": 1240
1551
+ },
1552
+ {
1553
+ "epoch": 6.26,
1554
+ "learning_rate": 2.3167100855973207e-06,
1555
+ "loss": 0.0655,
1556
+ "step": 1245
1557
+ },
1558
+ {
1559
+ "epoch": 6.28,
1560
+ "learning_rate": 2.3260141421659847e-06,
1561
+ "loss": 0.1025,
1562
+ "step": 1250
1563
+ },
1564
+ {
1565
+ "epoch": 6.31,
1566
+ "learning_rate": 2.3353181987346487e-06,
1567
+ "loss": 0.0507,
1568
+ "step": 1255
1569
+ },
1570
+ {
1571
+ "epoch": 6.33,
1572
+ "learning_rate": 2.3446222553033122e-06,
1573
+ "loss": 0.0949,
1574
+ "step": 1260
1575
+ },
1576
+ {
1577
+ "epoch": 6.36,
1578
+ "learning_rate": 2.3539263118719762e-06,
1579
+ "loss": 0.0609,
1580
+ "step": 1265
1581
+ },
1582
+ {
1583
+ "epoch": 6.38,
1584
+ "learning_rate": 2.3632303684406402e-06,
1585
+ "loss": 0.0126,
1586
+ "step": 1270
1587
+ },
1588
+ {
1589
+ "epoch": 6.41,
1590
+ "learning_rate": 2.3725344250093042e-06,
1591
+ "loss": 0.0593,
1592
+ "step": 1275
1593
+ },
1594
+ {
1595
+ "epoch": 6.43,
1596
+ "learning_rate": 2.3818384815779682e-06,
1597
+ "loss": 0.0683,
1598
+ "step": 1280
1599
+ },
1600
+ {
1601
+ "epoch": 6.46,
1602
+ "learning_rate": 2.391142538146632e-06,
1603
+ "loss": 0.0702,
1604
+ "step": 1285
1605
+ },
1606
+ {
1607
+ "epoch": 6.48,
1608
+ "learning_rate": 2.400446594715296e-06,
1609
+ "loss": 0.0247,
1610
+ "step": 1290
1611
+ },
1612
+ {
1613
+ "epoch": 6.51,
1614
+ "learning_rate": 2.4097506512839598e-06,
1615
+ "loss": 0.0749,
1616
+ "step": 1295
1617
+ },
1618
+ {
1619
+ "epoch": 6.53,
1620
+ "learning_rate": 2.4190547078526238e-06,
1621
+ "loss": 0.0453,
1622
+ "step": 1300
1623
+ },
1624
+ {
1625
+ "epoch": 6.56,
1626
+ "learning_rate": 2.4283587644212878e-06,
1627
+ "loss": 0.0527,
1628
+ "step": 1305
1629
+ },
1630
+ {
1631
+ "epoch": 6.58,
1632
+ "learning_rate": 2.4376628209899517e-06,
1633
+ "loss": 0.0513,
1634
+ "step": 1310
1635
+ },
1636
+ {
1637
+ "epoch": 6.61,
1638
+ "learning_rate": 2.4469668775586157e-06,
1639
+ "loss": 0.0619,
1640
+ "step": 1315
1641
+ },
1642
+ {
1643
+ "epoch": 6.63,
1644
+ "learning_rate": 2.4562709341272797e-06,
1645
+ "loss": 0.104,
1646
+ "step": 1320
1647
+ },
1648
+ {
1649
+ "epoch": 6.66,
1650
+ "learning_rate": 2.4655749906959437e-06,
1651
+ "loss": 0.0743,
1652
+ "step": 1325
1653
+ },
1654
+ {
1655
+ "epoch": 6.68,
1656
+ "learning_rate": 2.4748790472646077e-06,
1657
+ "loss": 0.0758,
1658
+ "step": 1330
1659
+ },
1660
+ {
1661
+ "epoch": 6.71,
1662
+ "learning_rate": 2.4841831038332713e-06,
1663
+ "loss": 0.1288,
1664
+ "step": 1335
1665
+ },
1666
+ {
1667
+ "epoch": 6.73,
1668
+ "learning_rate": 2.4934871604019353e-06,
1669
+ "loss": 0.0781,
1670
+ "step": 1340
1671
+ },
1672
+ {
1673
+ "epoch": 6.76,
1674
+ "learning_rate": 2.5027912169705993e-06,
1675
+ "loss": 0.0546,
1676
+ "step": 1345
1677
+ },
1678
+ {
1679
+ "epoch": 6.78,
1680
+ "learning_rate": 2.5120952735392633e-06,
1681
+ "loss": 0.068,
1682
+ "step": 1350
1683
+ },
1684
+ {
1685
+ "epoch": 6.81,
1686
+ "learning_rate": 2.521399330107927e-06,
1687
+ "loss": 0.0633,
1688
+ "step": 1355
1689
+ },
1690
+ {
1691
+ "epoch": 6.83,
1692
+ "learning_rate": 2.5307033866765913e-06,
1693
+ "loss": 0.0726,
1694
+ "step": 1360
1695
+ },
1696
+ {
1697
+ "epoch": 6.86,
1698
+ "learning_rate": 2.5400074432452552e-06,
1699
+ "loss": 0.0661,
1700
+ "step": 1365
1701
+ },
1702
+ {
1703
+ "epoch": 6.88,
1704
+ "learning_rate": 2.549311499813919e-06,
1705
+ "loss": 0.0248,
1706
+ "step": 1370
1707
+ },
1708
+ {
1709
+ "epoch": 6.91,
1710
+ "learning_rate": 2.5586155563825832e-06,
1711
+ "loss": 0.1089,
1712
+ "step": 1375
1713
+ },
1714
+ {
1715
+ "epoch": 6.93,
1716
+ "learning_rate": 2.567919612951247e-06,
1717
+ "loss": 0.0472,
1718
+ "step": 1380
1719
+ },
1720
+ {
1721
+ "epoch": 6.96,
1722
+ "learning_rate": 2.577223669519911e-06,
1723
+ "loss": 0.0855,
1724
+ "step": 1385
1725
+ },
1726
+ {
1727
+ "epoch": 6.98,
1728
+ "learning_rate": 2.5865277260885748e-06,
1729
+ "loss": 0.078,
1730
+ "step": 1390
1731
+ },
1732
+ {
1733
+ "epoch": 7.0,
1734
+ "eval_accuracy": 0.9802073515551367,
1735
+ "eval_loss": 0.05543642118573189,
1736
+ "eval_runtime": 85.9916,
1737
+ "eval_samples_per_second": 24.677,
1738
+ "eval_steps_per_second": 1.547,
1739
+ "step": 1393
1740
+ },
1741
+ {
1742
+ "epoch": 7.01,
1743
+ "learning_rate": 2.5958317826572388e-06,
1744
+ "loss": 0.1323,
1745
+ "step": 1395
1746
+ },
1747
+ {
1748
+ "epoch": 7.04,
1749
+ "learning_rate": 2.6051358392259028e-06,
1750
+ "loss": 0.0732,
1751
+ "step": 1400
1752
+ },
1753
+ {
1754
+ "epoch": 7.06,
1755
+ "learning_rate": 2.6144398957945668e-06,
1756
+ "loss": 0.0742,
1757
+ "step": 1405
1758
+ },
1759
+ {
1760
+ "epoch": 7.09,
1761
+ "learning_rate": 2.6237439523632308e-06,
1762
+ "loss": 0.0807,
1763
+ "step": 1410
1764
+ },
1765
+ {
1766
+ "epoch": 7.11,
1767
+ "learning_rate": 2.6330480089318943e-06,
1768
+ "loss": 0.099,
1769
+ "step": 1415
1770
+ },
1771
+ {
1772
+ "epoch": 7.14,
1773
+ "learning_rate": 2.6423520655005587e-06,
1774
+ "loss": 0.0585,
1775
+ "step": 1420
1776
+ },
1777
+ {
1778
+ "epoch": 7.16,
1779
+ "learning_rate": 2.6516561220692223e-06,
1780
+ "loss": 0.0403,
1781
+ "step": 1425
1782
+ },
1783
+ {
1784
+ "epoch": 7.19,
1785
+ "learning_rate": 2.6609601786378863e-06,
1786
+ "loss": 0.0248,
1787
+ "step": 1430
1788
+ },
1789
+ {
1790
+ "epoch": 7.21,
1791
+ "learning_rate": 2.6702642352065507e-06,
1792
+ "loss": 0.0718,
1793
+ "step": 1435
1794
+ },
1795
+ {
1796
+ "epoch": 7.24,
1797
+ "learning_rate": 2.6795682917752143e-06,
1798
+ "loss": 0.0681,
1799
+ "step": 1440
1800
+ },
1801
+ {
1802
+ "epoch": 7.26,
1803
+ "learning_rate": 2.6888723483438783e-06,
1804
+ "loss": 0.0726,
1805
+ "step": 1445
1806
+ },
1807
+ {
1808
+ "epoch": 7.29,
1809
+ "learning_rate": 2.698176404912542e-06,
1810
+ "loss": 0.1098,
1811
+ "step": 1450
1812
+ },
1813
+ {
1814
+ "epoch": 7.31,
1815
+ "learning_rate": 2.7074804614812063e-06,
1816
+ "loss": 0.045,
1817
+ "step": 1455
1818
+ },
1819
+ {
1820
+ "epoch": 7.34,
1821
+ "learning_rate": 2.71678451804987e-06,
1822
+ "loss": 0.0613,
1823
+ "step": 1460
1824
+ },
1825
+ {
1826
+ "epoch": 7.36,
1827
+ "learning_rate": 2.726088574618534e-06,
1828
+ "loss": 0.0425,
1829
+ "step": 1465
1830
+ },
1831
+ {
1832
+ "epoch": 7.39,
1833
+ "learning_rate": 2.7353926311871983e-06,
1834
+ "loss": 0.0861,
1835
+ "step": 1470
1836
+ },
1837
+ {
1838
+ "epoch": 7.41,
1839
+ "learning_rate": 2.744696687755862e-06,
1840
+ "loss": 0.0627,
1841
+ "step": 1475
1842
+ },
1843
+ {
1844
+ "epoch": 7.44,
1845
+ "learning_rate": 2.754000744324526e-06,
1846
+ "loss": 0.1238,
1847
+ "step": 1480
1848
+ },
1849
+ {
1850
+ "epoch": 7.46,
1851
+ "learning_rate": 2.7633048008931894e-06,
1852
+ "loss": 0.0526,
1853
+ "step": 1485
1854
+ },
1855
+ {
1856
+ "epoch": 7.49,
1857
+ "learning_rate": 2.772608857461854e-06,
1858
+ "loss": 0.0445,
1859
+ "step": 1490
1860
+ },
1861
+ {
1862
+ "epoch": 7.51,
1863
+ "learning_rate": 2.7819129140305174e-06,
1864
+ "loss": 0.0784,
1865
+ "step": 1495
1866
+ },
1867
+ {
1868
+ "epoch": 7.54,
1869
+ "learning_rate": 2.7912169705991814e-06,
1870
+ "loss": 0.0499,
1871
+ "step": 1500
1872
+ },
1873
+ {
1874
+ "epoch": 7.56,
1875
+ "learning_rate": 2.8005210271678458e-06,
1876
+ "loss": 0.0332,
1877
+ "step": 1505
1878
+ },
1879
+ {
1880
+ "epoch": 7.59,
1881
+ "learning_rate": 2.8098250837365093e-06,
1882
+ "loss": 0.0724,
1883
+ "step": 1510
1884
+ },
1885
+ {
1886
+ "epoch": 7.61,
1887
+ "learning_rate": 2.8191291403051733e-06,
1888
+ "loss": 0.0389,
1889
+ "step": 1515
1890
+ },
1891
+ {
1892
+ "epoch": 7.64,
1893
+ "learning_rate": 2.828433196873837e-06,
1894
+ "loss": 0.0364,
1895
+ "step": 1520
1896
+ },
1897
+ {
1898
+ "epoch": 7.66,
1899
+ "learning_rate": 2.8377372534425013e-06,
1900
+ "loss": 0.0757,
1901
+ "step": 1525
1902
+ },
1903
+ {
1904
+ "epoch": 7.69,
1905
+ "learning_rate": 2.847041310011165e-06,
1906
+ "loss": 0.0601,
1907
+ "step": 1530
1908
+ },
1909
+ {
1910
+ "epoch": 7.71,
1911
+ "learning_rate": 2.856345366579829e-06,
1912
+ "loss": 0.0332,
1913
+ "step": 1535
1914
+ },
1915
+ {
1916
+ "epoch": 7.74,
1917
+ "learning_rate": 2.865649423148493e-06,
1918
+ "loss": 0.0605,
1919
+ "step": 1540
1920
+ },
1921
+ {
1922
+ "epoch": 7.76,
1923
+ "learning_rate": 2.874953479717157e-06,
1924
+ "loss": 0.0401,
1925
+ "step": 1545
1926
+ },
1927
+ {
1928
+ "epoch": 7.79,
1929
+ "learning_rate": 2.884257536285821e-06,
1930
+ "loss": 0.0583,
1931
+ "step": 1550
1932
+ },
1933
+ {
1934
+ "epoch": 7.81,
1935
+ "learning_rate": 2.893561592854485e-06,
1936
+ "loss": 0.0631,
1937
+ "step": 1555
1938
+ },
1939
+ {
1940
+ "epoch": 7.84,
1941
+ "learning_rate": 2.902865649423149e-06,
1942
+ "loss": 0.0335,
1943
+ "step": 1560
1944
+ },
1945
+ {
1946
+ "epoch": 7.86,
1947
+ "learning_rate": 2.9121697059918124e-06,
1948
+ "loss": 0.063,
1949
+ "step": 1565
1950
+ },
1951
+ {
1952
+ "epoch": 7.89,
1953
+ "learning_rate": 2.921473762560477e-06,
1954
+ "loss": 0.0186,
1955
+ "step": 1570
1956
+ },
1957
+ {
1958
+ "epoch": 7.91,
1959
+ "learning_rate": 2.9307778191291404e-06,
1960
+ "loss": 0.0476,
1961
+ "step": 1575
1962
+ },
1963
+ {
1964
+ "epoch": 7.94,
1965
+ "learning_rate": 2.9400818756978044e-06,
1966
+ "loss": 0.0782,
1967
+ "step": 1580
1968
+ },
1969
+ {
1970
+ "epoch": 7.96,
1971
+ "learning_rate": 2.949385932266469e-06,
1972
+ "loss": 0.0821,
1973
+ "step": 1585
1974
+ },
1975
+ {
1976
+ "epoch": 7.99,
1977
+ "learning_rate": 2.9586899888351324e-06,
1978
+ "loss": 0.1769,
1979
+ "step": 1590
1980
+ },
1981
+ {
1982
+ "epoch": 8.0,
1983
+ "eval_accuracy": 0.9764373232799246,
1984
+ "eval_loss": 0.05559385195374489,
1985
+ "eval_runtime": 86.1579,
1986
+ "eval_samples_per_second": 24.629,
1987
+ "eval_steps_per_second": 1.544,
1988
+ "step": 1592
1989
+ },
1990
+ {
1991
+ "epoch": 8.02,
1992
+ "learning_rate": 2.9679940454037964e-06,
1993
+ "loss": 0.1061,
1994
+ "step": 1595
1995
+ },
1996
+ {
1997
+ "epoch": 8.04,
1998
+ "learning_rate": 2.97729810197246e-06,
1999
+ "loss": 0.075,
2000
+ "step": 1600
2001
+ },
2002
+ {
2003
+ "epoch": 8.07,
2004
+ "learning_rate": 2.9866021585411244e-06,
2005
+ "loss": 0.0448,
2006
+ "step": 1605
2007
+ },
2008
+ {
2009
+ "epoch": 8.09,
2010
+ "learning_rate": 2.995906215109788e-06,
2011
+ "loss": 0.1074,
2012
+ "step": 1610
2013
+ },
2014
+ {
2015
+ "epoch": 8.12,
2016
+ "learning_rate": 3.005210271678452e-06,
2017
+ "loss": 0.0942,
2018
+ "step": 1615
2019
+ },
2020
+ {
2021
+ "epoch": 8.14,
2022
+ "learning_rate": 3.0145143282471163e-06,
2023
+ "loss": 0.0713,
2024
+ "step": 1620
2025
+ },
2026
+ {
2027
+ "epoch": 8.17,
2028
+ "learning_rate": 3.02381838481578e-06,
2029
+ "loss": 0.0686,
2030
+ "step": 1625
2031
+ },
2032
+ {
2033
+ "epoch": 8.19,
2034
+ "learning_rate": 3.033122441384444e-06,
2035
+ "loss": 0.0838,
2036
+ "step": 1630
2037
+ },
2038
+ {
2039
+ "epoch": 8.22,
2040
+ "learning_rate": 3.0424264979531075e-06,
2041
+ "loss": 0.0298,
2042
+ "step": 1635
2043
+ },
2044
+ {
2045
+ "epoch": 8.24,
2046
+ "learning_rate": 3.051730554521772e-06,
2047
+ "loss": 0.0271,
2048
+ "step": 1640
2049
+ },
2050
+ {
2051
+ "epoch": 8.27,
2052
+ "learning_rate": 3.0610346110904355e-06,
2053
+ "loss": 0.036,
2054
+ "step": 1645
2055
+ },
2056
+ {
2057
+ "epoch": 8.29,
2058
+ "learning_rate": 3.0703386676590995e-06,
2059
+ "loss": 0.032,
2060
+ "step": 1650
2061
+ },
2062
+ {
2063
+ "epoch": 8.32,
2064
+ "learning_rate": 3.079642724227764e-06,
2065
+ "loss": 0.0333,
2066
+ "step": 1655
2067
+ },
2068
+ {
2069
+ "epoch": 8.34,
2070
+ "learning_rate": 3.0889467807964274e-06,
2071
+ "loss": 0.064,
2072
+ "step": 1660
2073
+ },
2074
+ {
2075
+ "epoch": 8.37,
2076
+ "learning_rate": 3.0982508373650914e-06,
2077
+ "loss": 0.0551,
2078
+ "step": 1665
2079
+ },
2080
+ {
2081
+ "epoch": 8.39,
2082
+ "learning_rate": 3.107554893933755e-06,
2083
+ "loss": 0.0299,
2084
+ "step": 1670
2085
+ },
2086
+ {
2087
+ "epoch": 8.42,
2088
+ "learning_rate": 3.1168589505024194e-06,
2089
+ "loss": 0.046,
2090
+ "step": 1675
2091
+ },
2092
+ {
2093
+ "epoch": 8.44,
2094
+ "learning_rate": 3.126163007071083e-06,
2095
+ "loss": 0.0857,
2096
+ "step": 1680
2097
+ },
2098
+ {
2099
+ "epoch": 8.47,
2100
+ "learning_rate": 3.135467063639747e-06,
2101
+ "loss": 0.0668,
2102
+ "step": 1685
2103
+ },
2104
+ {
2105
+ "epoch": 8.49,
2106
+ "learning_rate": 3.1447711202084114e-06,
2107
+ "loss": 0.0187,
2108
+ "step": 1690
2109
+ },
2110
+ {
2111
+ "epoch": 8.52,
2112
+ "learning_rate": 3.154075176777075e-06,
2113
+ "loss": 0.0679,
2114
+ "step": 1695
2115
+ },
2116
+ {
2117
+ "epoch": 8.54,
2118
+ "learning_rate": 3.163379233345739e-06,
2119
+ "loss": 0.0122,
2120
+ "step": 1700
2121
+ },
2122
+ {
2123
+ "epoch": 8.57,
2124
+ "learning_rate": 3.172683289914403e-06,
2125
+ "loss": 0.0591,
2126
+ "step": 1705
2127
+ },
2128
+ {
2129
+ "epoch": 8.59,
2130
+ "learning_rate": 3.181987346483067e-06,
2131
+ "loss": 0.0681,
2132
+ "step": 1710
2133
+ },
2134
+ {
2135
+ "epoch": 8.62,
2136
+ "learning_rate": 3.1912914030517305e-06,
2137
+ "loss": 0.0199,
2138
+ "step": 1715
2139
+ },
2140
+ {
2141
+ "epoch": 8.64,
2142
+ "learning_rate": 3.200595459620395e-06,
2143
+ "loss": 0.0138,
2144
+ "step": 1720
2145
+ },
2146
+ {
2147
+ "epoch": 8.67,
2148
+ "learning_rate": 3.209899516189059e-06,
2149
+ "loss": 0.0181,
2150
+ "step": 1725
2151
+ },
2152
+ {
2153
+ "epoch": 8.69,
2154
+ "learning_rate": 3.2192035727577225e-06,
2155
+ "loss": 0.0347,
2156
+ "step": 1730
2157
+ },
2158
+ {
2159
+ "epoch": 8.72,
2160
+ "learning_rate": 3.228507629326387e-06,
2161
+ "loss": 0.0539,
2162
+ "step": 1735
2163
+ },
2164
+ {
2165
+ "epoch": 8.74,
2166
+ "learning_rate": 3.2378116858950505e-06,
2167
+ "loss": 0.0598,
2168
+ "step": 1740
2169
+ },
2170
+ {
2171
+ "epoch": 8.77,
2172
+ "learning_rate": 3.2471157424637145e-06,
2173
+ "loss": 0.0401,
2174
+ "step": 1745
2175
+ },
2176
+ {
2177
+ "epoch": 8.79,
2178
+ "learning_rate": 3.256419799032378e-06,
2179
+ "loss": 0.0286,
2180
+ "step": 1750
2181
+ },
2182
+ {
2183
+ "epoch": 8.82,
2184
+ "learning_rate": 3.2657238556010425e-06,
2185
+ "loss": 0.0956,
2186
+ "step": 1755
2187
+ },
2188
+ {
2189
+ "epoch": 8.84,
2190
+ "learning_rate": 3.2750279121697065e-06,
2191
+ "loss": 0.0232,
2192
+ "step": 1760
2193
+ },
2194
+ {
2195
+ "epoch": 8.87,
2196
+ "learning_rate": 3.28433196873837e-06,
2197
+ "loss": 0.0177,
2198
+ "step": 1765
2199
+ },
2200
+ {
2201
+ "epoch": 8.89,
2202
+ "learning_rate": 3.2936360253070344e-06,
2203
+ "loss": 0.063,
2204
+ "step": 1770
2205
+ },
2206
+ {
2207
+ "epoch": 8.92,
2208
+ "learning_rate": 3.302940081875698e-06,
2209
+ "loss": 0.0304,
2210
+ "step": 1775
2211
+ },
2212
+ {
2213
+ "epoch": 8.94,
2214
+ "learning_rate": 3.312244138444362e-06,
2215
+ "loss": 0.0377,
2216
+ "step": 1780
2217
+ },
2218
+ {
2219
+ "epoch": 8.97,
2220
+ "learning_rate": 3.3215481950130256e-06,
2221
+ "loss": 0.023,
2222
+ "step": 1785
2223
+ },
2224
+ {
2225
+ "epoch": 8.99,
2226
+ "learning_rate": 3.33085225158169e-06,
2227
+ "loss": 0.0568,
2228
+ "step": 1790
2229
+ },
2230
+ {
2231
+ "epoch": 9.0,
2232
+ "eval_accuracy": 0.9806786050895382,
2233
+ "eval_loss": 0.0568881630897522,
2234
+ "eval_runtime": 86.3133,
2235
+ "eval_samples_per_second": 24.585,
2236
+ "eval_steps_per_second": 1.541,
2237
+ "step": 1791
2238
+ },
2239
+ {
2240
+ "epoch": 9.02,
2241
+ "learning_rate": 3.340156308150354e-06,
2242
+ "loss": 0.0474,
2243
+ "step": 1795
2244
+ },
2245
+ {
2246
+ "epoch": 9.05,
2247
+ "learning_rate": 3.3494603647190175e-06,
2248
+ "loss": 0.0779,
2249
+ "step": 1800
2250
+ },
2251
+ {
2252
+ "epoch": 9.07,
2253
+ "learning_rate": 3.358764421287682e-06,
2254
+ "loss": 0.0458,
2255
+ "step": 1805
2256
+ },
2257
+ {
2258
+ "epoch": 9.1,
2259
+ "learning_rate": 3.3680684778563455e-06,
2260
+ "loss": 0.0285,
2261
+ "step": 1810
2262
+ },
2263
+ {
2264
+ "epoch": 9.12,
2265
+ "learning_rate": 3.3773725344250095e-06,
2266
+ "loss": 0.0147,
2267
+ "step": 1815
2268
+ },
2269
+ {
2270
+ "epoch": 9.15,
2271
+ "learning_rate": 3.386676590993673e-06,
2272
+ "loss": 0.0296,
2273
+ "step": 1820
2274
+ },
2275
+ {
2276
+ "epoch": 9.17,
2277
+ "learning_rate": 3.3959806475623375e-06,
2278
+ "loss": 0.0282,
2279
+ "step": 1825
2280
+ },
2281
+ {
2282
+ "epoch": 9.2,
2283
+ "learning_rate": 3.4052847041310015e-06,
2284
+ "loss": 0.0574,
2285
+ "step": 1830
2286
+ },
2287
+ {
2288
+ "epoch": 9.22,
2289
+ "learning_rate": 3.414588760699665e-06,
2290
+ "loss": 0.0424,
2291
+ "step": 1835
2292
+ },
2293
+ {
2294
+ "epoch": 9.25,
2295
+ "learning_rate": 3.4238928172683295e-06,
2296
+ "loss": 0.0438,
2297
+ "step": 1840
2298
+ },
2299
+ {
2300
+ "epoch": 9.27,
2301
+ "learning_rate": 3.433196873836993e-06,
2302
+ "loss": 0.024,
2303
+ "step": 1845
2304
+ },
2305
+ {
2306
+ "epoch": 9.3,
2307
+ "learning_rate": 3.442500930405657e-06,
2308
+ "loss": 0.0288,
2309
+ "step": 1850
2310
+ },
2311
+ {
2312
+ "epoch": 9.32,
2313
+ "learning_rate": 3.451804986974321e-06,
2314
+ "loss": 0.1919,
2315
+ "step": 1855
2316
+ },
2317
+ {
2318
+ "epoch": 9.35,
2319
+ "learning_rate": 3.461109043542985e-06,
2320
+ "loss": 0.0577,
2321
+ "step": 1860
2322
+ },
2323
+ {
2324
+ "epoch": 9.37,
2325
+ "learning_rate": 3.470413100111649e-06,
2326
+ "loss": 0.0688,
2327
+ "step": 1865
2328
+ },
2329
+ {
2330
+ "epoch": 9.4,
2331
+ "learning_rate": 3.479717156680313e-06,
2332
+ "loss": 0.038,
2333
+ "step": 1870
2334
+ },
2335
+ {
2336
+ "epoch": 9.42,
2337
+ "learning_rate": 3.489021213248977e-06,
2338
+ "loss": 0.0567,
2339
+ "step": 1875
2340
+ },
2341
+ {
2342
+ "epoch": 9.45,
2343
+ "learning_rate": 3.4983252698176406e-06,
2344
+ "loss": 0.0649,
2345
+ "step": 1880
2346
+ },
2347
+ {
2348
+ "epoch": 9.47,
2349
+ "learning_rate": 3.507629326386305e-06,
2350
+ "loss": 0.0546,
2351
+ "step": 1885
2352
+ },
2353
+ {
2354
+ "epoch": 9.5,
2355
+ "learning_rate": 3.5169333829549686e-06,
2356
+ "loss": 0.0062,
2357
+ "step": 1890
2358
+ },
2359
+ {
2360
+ "epoch": 9.52,
2361
+ "learning_rate": 3.5262374395236326e-06,
2362
+ "loss": 0.0863,
2363
+ "step": 1895
2364
+ },
2365
+ {
2366
+ "epoch": 9.55,
2367
+ "learning_rate": 3.535541496092297e-06,
2368
+ "loss": 0.0451,
2369
+ "step": 1900
2370
+ },
2371
+ {
2372
+ "epoch": 9.57,
2373
+ "learning_rate": 3.5448455526609606e-06,
2374
+ "loss": 0.0627,
2375
+ "step": 1905
2376
+ },
2377
+ {
2378
+ "epoch": 9.6,
2379
+ "learning_rate": 3.5541496092296245e-06,
2380
+ "loss": 0.1044,
2381
+ "step": 1910
2382
+ },
2383
+ {
2384
+ "epoch": 9.62,
2385
+ "learning_rate": 3.563453665798288e-06,
2386
+ "loss": 0.0658,
2387
+ "step": 1915
2388
+ },
2389
+ {
2390
+ "epoch": 9.65,
2391
+ "learning_rate": 3.5727577223669525e-06,
2392
+ "loss": 0.0683,
2393
+ "step": 1920
2394
+ },
2395
+ {
2396
+ "epoch": 9.67,
2397
+ "learning_rate": 3.582061778935616e-06,
2398
+ "loss": 0.025,
2399
+ "step": 1925
2400
+ },
2401
+ {
2402
+ "epoch": 9.7,
2403
+ "learning_rate": 3.59136583550428e-06,
2404
+ "loss": 0.0674,
2405
+ "step": 1930
2406
+ },
2407
+ {
2408
+ "epoch": 9.72,
2409
+ "learning_rate": 3.6006698920729445e-06,
2410
+ "loss": 0.066,
2411
+ "step": 1935
2412
+ },
2413
+ {
2414
+ "epoch": 9.75,
2415
+ "learning_rate": 3.609973948641608e-06,
2416
+ "loss": 0.0272,
2417
+ "step": 1940
2418
+ },
2419
+ {
2420
+ "epoch": 9.77,
2421
+ "learning_rate": 3.619278005210272e-06,
2422
+ "loss": 0.089,
2423
+ "step": 1945
2424
+ },
2425
+ {
2426
+ "epoch": 9.8,
2427
+ "learning_rate": 3.6285820617789356e-06,
2428
+ "loss": 0.0341,
2429
+ "step": 1950
2430
+ },
2431
+ {
2432
+ "epoch": 9.82,
2433
+ "learning_rate": 3.6378861183476e-06,
2434
+ "loss": 0.1069,
2435
+ "step": 1955
2436
+ },
2437
+ {
2438
+ "epoch": 9.85,
2439
+ "learning_rate": 3.6471901749162636e-06,
2440
+ "loss": 0.054,
2441
+ "step": 1960
2442
+ },
2443
+ {
2444
+ "epoch": 9.87,
2445
+ "learning_rate": 3.6564942314849276e-06,
2446
+ "loss": 0.1143,
2447
+ "step": 1965
2448
+ },
2449
+ {
2450
+ "epoch": 9.9,
2451
+ "learning_rate": 3.665798288053591e-06,
2452
+ "loss": 0.041,
2453
+ "step": 1970
2454
+ },
2455
+ {
2456
+ "epoch": 9.92,
2457
+ "learning_rate": 3.6751023446222556e-06,
2458
+ "loss": 0.0462,
2459
+ "step": 1975
2460
+ },
2461
+ {
2462
+ "epoch": 9.95,
2463
+ "learning_rate": 3.6844064011909196e-06,
2464
+ "loss": 0.0251,
2465
+ "step": 1980
2466
+ },
2467
+ {
2468
+ "epoch": 9.97,
2469
+ "learning_rate": 3.693710457759583e-06,
2470
+ "loss": 0.0185,
2471
+ "step": 1985
2472
+ },
2473
+ {
2474
+ "epoch": 10.0,
2475
+ "learning_rate": 3.7030145143282476e-06,
2476
+ "loss": 0.0728,
2477
+ "step": 1990
2478
+ },
2479
+ {
2480
+ "epoch": 10.0,
2481
+ "eval_accuracy": 0.9915174363807728,
2482
+ "eval_loss": 0.023358536884188652,
2483
+ "eval_runtime": 86.3411,
2484
+ "eval_samples_per_second": 24.577,
2485
+ "eval_steps_per_second": 1.54,
2486
+ "step": 1990
2487
+ },
2488
+ {
2489
+ "epoch": 10.03,
2490
+ "learning_rate": 3.712318570896911e-06,
2491
+ "loss": 0.0272,
2492
+ "step": 1995
2493
+ },
2494
+ {
2495
+ "epoch": 10.05,
2496
+ "learning_rate": 3.721622627465575e-06,
2497
+ "loss": 0.0349,
2498
+ "step": 2000
2499
+ },
2500
+ {
2501
+ "epoch": 10.08,
2502
+ "learning_rate": 3.730926684034239e-06,
2503
+ "loss": 0.0286,
2504
+ "step": 2005
2505
+ },
2506
+ {
2507
+ "epoch": 10.1,
2508
+ "learning_rate": 3.740230740602903e-06,
2509
+ "loss": 0.0442,
2510
+ "step": 2010
2511
+ },
2512
+ {
2513
+ "epoch": 10.13,
2514
+ "learning_rate": 3.749534797171567e-06,
2515
+ "loss": 0.0424,
2516
+ "step": 2015
2517
+ },
2518
+ {
2519
+ "epoch": 10.15,
2520
+ "learning_rate": 3.758838853740231e-06,
2521
+ "loss": 0.0509,
2522
+ "step": 2020
2523
+ },
2524
+ {
2525
+ "epoch": 10.18,
2526
+ "learning_rate": 3.768142910308895e-06,
2527
+ "loss": 0.0246,
2528
+ "step": 2025
2529
+ },
2530
+ {
2531
+ "epoch": 10.2,
2532
+ "learning_rate": 3.7774469668775587e-06,
2533
+ "loss": 0.1116,
2534
+ "step": 2030
2535
+ },
2536
+ {
2537
+ "epoch": 10.23,
2538
+ "learning_rate": 3.786751023446223e-06,
2539
+ "loss": 0.0309,
2540
+ "step": 2035
2541
+ },
2542
+ {
2543
+ "epoch": 10.25,
2544
+ "learning_rate": 3.7960550800148867e-06,
2545
+ "loss": 0.092,
2546
+ "step": 2040
2547
+ },
2548
+ {
2549
+ "epoch": 10.28,
2550
+ "learning_rate": 3.8053591365835507e-06,
2551
+ "loss": 0.106,
2552
+ "step": 2045
2553
+ },
2554
+ {
2555
+ "epoch": 10.3,
2556
+ "learning_rate": 3.814663193152215e-06,
2557
+ "loss": 0.0147,
2558
+ "step": 2050
2559
+ },
2560
+ {
2561
+ "epoch": 10.33,
2562
+ "learning_rate": 3.823967249720879e-06,
2563
+ "loss": 0.0562,
2564
+ "step": 2055
2565
+ },
2566
+ {
2567
+ "epoch": 10.35,
2568
+ "learning_rate": 3.833271306289543e-06,
2569
+ "loss": 0.0882,
2570
+ "step": 2060
2571
+ },
2572
+ {
2573
+ "epoch": 10.38,
2574
+ "learning_rate": 3.842575362858207e-06,
2575
+ "loss": 0.0367,
2576
+ "step": 2065
2577
+ },
2578
+ {
2579
+ "epoch": 10.4,
2580
+ "learning_rate": 3.85187941942687e-06,
2581
+ "loss": 0.0086,
2582
+ "step": 2070
2583
+ },
2584
+ {
2585
+ "epoch": 10.43,
2586
+ "learning_rate": 3.861183475995534e-06,
2587
+ "loss": 0.0887,
2588
+ "step": 2075
2589
+ },
2590
+ {
2591
+ "epoch": 10.45,
2592
+ "learning_rate": 3.870487532564198e-06,
2593
+ "loss": 0.0313,
2594
+ "step": 2080
2595
+ },
2596
+ {
2597
+ "epoch": 10.48,
2598
+ "learning_rate": 3.879791589132863e-06,
2599
+ "loss": 0.0233,
2600
+ "step": 2085
2601
+ },
2602
+ {
2603
+ "epoch": 10.5,
2604
+ "learning_rate": 3.889095645701526e-06,
2605
+ "loss": 0.0827,
2606
+ "step": 2090
2607
+ },
2608
+ {
2609
+ "epoch": 10.53,
2610
+ "learning_rate": 3.898399702270191e-06,
2611
+ "loss": 0.0678,
2612
+ "step": 2095
2613
+ },
2614
+ {
2615
+ "epoch": 10.55,
2616
+ "learning_rate": 3.907703758838854e-06,
2617
+ "loss": 0.0669,
2618
+ "step": 2100
2619
+ },
2620
+ {
2621
+ "epoch": 10.58,
2622
+ "learning_rate": 3.917007815407518e-06,
2623
+ "loss": 0.1371,
2624
+ "step": 2105
2625
+ },
2626
+ {
2627
+ "epoch": 10.6,
2628
+ "learning_rate": 3.926311871976181e-06,
2629
+ "loss": 0.0447,
2630
+ "step": 2110
2631
+ },
2632
+ {
2633
+ "epoch": 10.63,
2634
+ "learning_rate": 3.935615928544846e-06,
2635
+ "loss": 0.0131,
2636
+ "step": 2115
2637
+ },
2638
+ {
2639
+ "epoch": 10.65,
2640
+ "learning_rate": 3.94491998511351e-06,
2641
+ "loss": 0.0519,
2642
+ "step": 2120
2643
+ },
2644
+ {
2645
+ "epoch": 10.68,
2646
+ "learning_rate": 3.954224041682174e-06,
2647
+ "loss": 0.0282,
2648
+ "step": 2125
2649
+ },
2650
+ {
2651
+ "epoch": 10.7,
2652
+ "learning_rate": 3.963528098250838e-06,
2653
+ "loss": 0.028,
2654
+ "step": 2130
2655
+ },
2656
+ {
2657
+ "epoch": 10.73,
2658
+ "learning_rate": 3.972832154819502e-06,
2659
+ "loss": 0.0219,
2660
+ "step": 2135
2661
+ },
2662
+ {
2663
+ "epoch": 10.75,
2664
+ "learning_rate": 3.982136211388165e-06,
2665
+ "loss": 0.0348,
2666
+ "step": 2140
2667
+ },
2668
+ {
2669
+ "epoch": 10.78,
2670
+ "learning_rate": 3.99144026795683e-06,
2671
+ "loss": 0.0388,
2672
+ "step": 2145
2673
+ },
2674
+ {
2675
+ "epoch": 10.8,
2676
+ "learning_rate": 4.000744324525493e-06,
2677
+ "loss": 0.0292,
2678
+ "step": 2150
2679
+ },
2680
+ {
2681
+ "epoch": 10.83,
2682
+ "learning_rate": 4.010048381094158e-06,
2683
+ "loss": 0.0478,
2684
+ "step": 2155
2685
+ },
2686
+ {
2687
+ "epoch": 10.85,
2688
+ "learning_rate": 4.019352437662821e-06,
2689
+ "loss": 0.1067,
2690
+ "step": 2160
2691
+ },
2692
+ {
2693
+ "epoch": 10.88,
2694
+ "learning_rate": 4.028656494231486e-06,
2695
+ "loss": 0.015,
2696
+ "step": 2165
2697
+ },
2698
+ {
2699
+ "epoch": 10.9,
2700
+ "learning_rate": 4.037960550800149e-06,
2701
+ "loss": 0.0167,
2702
+ "step": 2170
2703
+ },
2704
+ {
2705
+ "epoch": 10.93,
2706
+ "learning_rate": 4.047264607368814e-06,
2707
+ "loss": 0.0488,
2708
+ "step": 2175
2709
+ },
2710
+ {
2711
+ "epoch": 10.95,
2712
+ "learning_rate": 4.056568663937477e-06,
2713
+ "loss": 0.0104,
2714
+ "step": 2180
2715
+ },
2716
+ {
2717
+ "epoch": 10.98,
2718
+ "learning_rate": 4.065872720506141e-06,
2719
+ "loss": 0.0229,
2720
+ "step": 2185
2721
+ },
2722
+ {
2723
+ "epoch": 11.0,
2724
+ "eval_accuracy": 0.9910461828463714,
2725
+ "eval_loss": 0.02395106852054596,
2726
+ "eval_runtime": 86.1738,
2727
+ "eval_samples_per_second": 24.625,
2728
+ "eval_steps_per_second": 1.543,
2729
+ "step": 2189
2730
+ },
2731
+ {
2732
+ "epoch": 11.01,
2733
+ "learning_rate": 4.075176777074805e-06,
2734
+ "loss": 0.015,
2735
+ "step": 2190
2736
+ },
2737
+ {
2738
+ "epoch": 11.03,
2739
+ "learning_rate": 4.084480833643469e-06,
2740
+ "loss": 0.0155,
2741
+ "step": 2195
2742
+ },
2743
+ {
2744
+ "epoch": 11.06,
2745
+ "learning_rate": 4.093784890212133e-06,
2746
+ "loss": 0.01,
2747
+ "step": 2200
2748
+ },
2749
+ {
2750
+ "epoch": 11.08,
2751
+ "learning_rate": 4.103088946780797e-06,
2752
+ "loss": 0.0297,
2753
+ "step": 2205
2754
+ },
2755
+ {
2756
+ "epoch": 11.11,
2757
+ "learning_rate": 4.112393003349461e-06,
2758
+ "loss": 0.0736,
2759
+ "step": 2210
2760
+ },
2761
+ {
2762
+ "epoch": 11.13,
2763
+ "learning_rate": 4.121697059918125e-06,
2764
+ "loss": 0.0356,
2765
+ "step": 2215
2766
+ },
2767
+ {
2768
+ "epoch": 11.16,
2769
+ "learning_rate": 4.131001116486788e-06,
2770
+ "loss": 0.0379,
2771
+ "step": 2220
2772
+ },
2773
+ {
2774
+ "epoch": 11.18,
2775
+ "learning_rate": 4.140305173055453e-06,
2776
+ "loss": 0.0781,
2777
+ "step": 2225
2778
+ },
2779
+ {
2780
+ "epoch": 11.21,
2781
+ "learning_rate": 4.149609229624116e-06,
2782
+ "loss": 0.0089,
2783
+ "step": 2230
2784
+ },
2785
+ {
2786
+ "epoch": 11.23,
2787
+ "learning_rate": 4.158913286192781e-06,
2788
+ "loss": 0.0279,
2789
+ "step": 2235
2790
+ },
2791
+ {
2792
+ "epoch": 11.26,
2793
+ "learning_rate": 4.168217342761444e-06,
2794
+ "loss": 0.015,
2795
+ "step": 2240
2796
+ },
2797
+ {
2798
+ "epoch": 11.28,
2799
+ "learning_rate": 4.177521399330109e-06,
2800
+ "loss": 0.027,
2801
+ "step": 2245
2802
+ },
2803
+ {
2804
+ "epoch": 11.31,
2805
+ "learning_rate": 4.186825455898772e-06,
2806
+ "loss": 0.0151,
2807
+ "step": 2250
2808
+ },
2809
+ {
2810
+ "epoch": 11.33,
2811
+ "learning_rate": 4.196129512467436e-06,
2812
+ "loss": 0.0567,
2813
+ "step": 2255
2814
+ },
2815
+ {
2816
+ "epoch": 11.36,
2817
+ "learning_rate": 4.2054335690361e-06,
2818
+ "loss": 0.0407,
2819
+ "step": 2260
2820
+ },
2821
+ {
2822
+ "epoch": 11.38,
2823
+ "learning_rate": 4.214737625604764e-06,
2824
+ "loss": 0.0416,
2825
+ "step": 2265
2826
+ },
2827
+ {
2828
+ "epoch": 11.41,
2829
+ "learning_rate": 4.224041682173428e-06,
2830
+ "loss": 0.0762,
2831
+ "step": 2270
2832
+ },
2833
+ {
2834
+ "epoch": 11.43,
2835
+ "learning_rate": 4.233345738742092e-06,
2836
+ "loss": 0.0331,
2837
+ "step": 2275
2838
+ },
2839
+ {
2840
+ "epoch": 11.46,
2841
+ "learning_rate": 4.242649795310756e-06,
2842
+ "loss": 0.0082,
2843
+ "step": 2280
2844
+ },
2845
+ {
2846
+ "epoch": 11.48,
2847
+ "learning_rate": 4.25195385187942e-06,
2848
+ "loss": 0.0784,
2849
+ "step": 2285
2850
+ },
2851
+ {
2852
+ "epoch": 11.51,
2853
+ "learning_rate": 4.261257908448083e-06,
2854
+ "loss": 0.0373,
2855
+ "step": 2290
2856
+ },
2857
+ {
2858
+ "epoch": 11.53,
2859
+ "learning_rate": 4.270561965016748e-06,
2860
+ "loss": 0.0136,
2861
+ "step": 2295
2862
+ },
2863
+ {
2864
+ "epoch": 11.56,
2865
+ "learning_rate": 4.279866021585411e-06,
2866
+ "loss": 0.005,
2867
+ "step": 2300
2868
+ },
2869
+ {
2870
+ "epoch": 11.58,
2871
+ "learning_rate": 4.289170078154076e-06,
2872
+ "loss": 0.0523,
2873
+ "step": 2305
2874
+ },
2875
+ {
2876
+ "epoch": 11.61,
2877
+ "learning_rate": 4.298474134722739e-06,
2878
+ "loss": 0.0233,
2879
+ "step": 2310
2880
+ },
2881
+ {
2882
+ "epoch": 11.63,
2883
+ "learning_rate": 4.307778191291404e-06,
2884
+ "loss": 0.056,
2885
+ "step": 2315
2886
+ },
2887
+ {
2888
+ "epoch": 11.66,
2889
+ "learning_rate": 4.317082247860067e-06,
2890
+ "loss": 0.0013,
2891
+ "step": 2320
2892
+ },
2893
+ {
2894
+ "epoch": 11.68,
2895
+ "learning_rate": 4.326386304428732e-06,
2896
+ "loss": 0.031,
2897
+ "step": 2325
2898
+ },
2899
+ {
2900
+ "epoch": 11.71,
2901
+ "learning_rate": 4.335690360997395e-06,
2902
+ "loss": 0.033,
2903
+ "step": 2330
2904
+ },
2905
+ {
2906
+ "epoch": 11.73,
2907
+ "learning_rate": 4.344994417566059e-06,
2908
+ "loss": 0.1066,
2909
+ "step": 2335
2910
+ },
2911
+ {
2912
+ "epoch": 11.76,
2913
+ "learning_rate": 4.354298474134723e-06,
2914
+ "loss": 0.0108,
2915
+ "step": 2340
2916
+ },
2917
+ {
2918
+ "epoch": 11.78,
2919
+ "learning_rate": 4.363602530703387e-06,
2920
+ "loss": 0.0127,
2921
+ "step": 2345
2922
+ },
2923
+ {
2924
+ "epoch": 11.81,
2925
+ "learning_rate": 4.372906587272051e-06,
2926
+ "loss": 0.0044,
2927
+ "step": 2350
2928
+ },
2929
+ {
2930
+ "epoch": 11.83,
2931
+ "learning_rate": 4.382210643840715e-06,
2932
+ "loss": 0.0484,
2933
+ "step": 2355
2934
+ },
2935
+ {
2936
+ "epoch": 11.86,
2937
+ "learning_rate": 4.391514700409379e-06,
2938
+ "loss": 0.069,
2939
+ "step": 2360
2940
+ },
2941
+ {
2942
+ "epoch": 11.88,
2943
+ "learning_rate": 4.400818756978043e-06,
2944
+ "loss": 0.0609,
2945
+ "step": 2365
2946
+ },
2947
+ {
2948
+ "epoch": 11.91,
2949
+ "learning_rate": 4.410122813546706e-06,
2950
+ "loss": 0.0397,
2951
+ "step": 2370
2952
+ },
2953
+ {
2954
+ "epoch": 11.93,
2955
+ "learning_rate": 4.419426870115371e-06,
2956
+ "loss": 0.0869,
2957
+ "step": 2375
2958
+ },
2959
+ {
2960
+ "epoch": 11.96,
2961
+ "learning_rate": 4.428730926684034e-06,
2962
+ "loss": 0.1044,
2963
+ "step": 2380
2964
+ },
2965
+ {
2966
+ "epoch": 11.98,
2967
+ "learning_rate": 4.438034983252699e-06,
2968
+ "loss": 0.0561,
2969
+ "step": 2385
2970
+ },
2971
+ {
2972
+ "epoch": 12.0,
2973
+ "eval_accuracy": 0.9901036757775683,
2974
+ "eval_loss": 0.03518503159284592,
2975
+ "eval_runtime": 86.2049,
2976
+ "eval_samples_per_second": 24.616,
2977
+ "eval_steps_per_second": 1.543,
2978
+ "step": 2388
2979
+ },
2980
+ {
2981
+ "epoch": 12.01,
2982
+ "learning_rate": 4.447339039821362e-06,
2983
+ "loss": 0.0209,
2984
+ "step": 2390
2985
+ },
2986
+ {
2987
+ "epoch": 12.04,
2988
+ "learning_rate": 4.456643096390027e-06,
2989
+ "loss": 0.0749,
2990
+ "step": 2395
2991
+ },
2992
+ {
2993
+ "epoch": 12.06,
2994
+ "learning_rate": 4.46594715295869e-06,
2995
+ "loss": 0.048,
2996
+ "step": 2400
2997
+ },
2998
+ {
2999
+ "epoch": 12.09,
3000
+ "learning_rate": 4.475251209527354e-06,
3001
+ "loss": 0.0166,
3002
+ "step": 2405
3003
+ },
3004
+ {
3005
+ "epoch": 12.11,
3006
+ "learning_rate": 4.484555266096018e-06,
3007
+ "loss": 0.022,
3008
+ "step": 2410
3009
+ },
3010
+ {
3011
+ "epoch": 12.14,
3012
+ "learning_rate": 4.493859322664682e-06,
3013
+ "loss": 0.0056,
3014
+ "step": 2415
3015
+ },
3016
+ {
3017
+ "epoch": 12.16,
3018
+ "learning_rate": 4.503163379233346e-06,
3019
+ "loss": 0.0242,
3020
+ "step": 2420
3021
+ },
3022
+ {
3023
+ "epoch": 12.19,
3024
+ "learning_rate": 4.51246743580201e-06,
3025
+ "loss": 0.0028,
3026
+ "step": 2425
3027
+ },
3028
+ {
3029
+ "epoch": 12.21,
3030
+ "learning_rate": 4.521771492370674e-06,
3031
+ "loss": 0.0664,
3032
+ "step": 2430
3033
+ },
3034
+ {
3035
+ "epoch": 12.24,
3036
+ "learning_rate": 4.531075548939338e-06,
3037
+ "loss": 0.0128,
3038
+ "step": 2435
3039
+ },
3040
+ {
3041
+ "epoch": 12.26,
3042
+ "learning_rate": 4.5403796055080014e-06,
3043
+ "loss": 0.0426,
3044
+ "step": 2440
3045
+ },
3046
+ {
3047
+ "epoch": 12.29,
3048
+ "learning_rate": 4.549683662076666e-06,
3049
+ "loss": 0.0398,
3050
+ "step": 2445
3051
+ },
3052
+ {
3053
+ "epoch": 12.31,
3054
+ "learning_rate": 4.5589877186453294e-06,
3055
+ "loss": 0.0308,
3056
+ "step": 2450
3057
+ },
3058
+ {
3059
+ "epoch": 12.34,
3060
+ "learning_rate": 4.568291775213994e-06,
3061
+ "loss": 0.0321,
3062
+ "step": 2455
3063
+ },
3064
+ {
3065
+ "epoch": 12.36,
3066
+ "learning_rate": 4.577595831782657e-06,
3067
+ "loss": 0.0018,
3068
+ "step": 2460
3069
+ },
3070
+ {
3071
+ "epoch": 12.39,
3072
+ "learning_rate": 4.586899888351322e-06,
3073
+ "loss": 0.006,
3074
+ "step": 2465
3075
+ },
3076
+ {
3077
+ "epoch": 12.41,
3078
+ "learning_rate": 4.596203944919985e-06,
3079
+ "loss": 0.0453,
3080
+ "step": 2470
3081
+ },
3082
+ {
3083
+ "epoch": 12.44,
3084
+ "learning_rate": 4.60550800148865e-06,
3085
+ "loss": 0.01,
3086
+ "step": 2475
3087
+ },
3088
+ {
3089
+ "epoch": 12.46,
3090
+ "learning_rate": 4.614812058057313e-06,
3091
+ "loss": 0.0006,
3092
+ "step": 2480
3093
+ },
3094
+ {
3095
+ "epoch": 12.49,
3096
+ "learning_rate": 4.624116114625977e-06,
3097
+ "loss": 0.0134,
3098
+ "step": 2485
3099
+ },
3100
+ {
3101
+ "epoch": 12.51,
3102
+ "learning_rate": 4.633420171194641e-06,
3103
+ "loss": 0.0589,
3104
+ "step": 2490
3105
+ },
3106
+ {
3107
+ "epoch": 12.54,
3108
+ "learning_rate": 4.642724227763305e-06,
3109
+ "loss": 0.0715,
3110
+ "step": 2495
3111
+ },
3112
+ {
3113
+ "epoch": 12.56,
3114
+ "learning_rate": 4.652028284331969e-06,
3115
+ "loss": 0.1123,
3116
+ "step": 2500
3117
+ },
3118
+ {
3119
+ "epoch": 12.59,
3120
+ "learning_rate": 4.661332340900633e-06,
3121
+ "loss": 0.0317,
3122
+ "step": 2505
3123
+ },
3124
+ {
3125
+ "epoch": 12.61,
3126
+ "learning_rate": 4.670636397469297e-06,
3127
+ "loss": 0.1303,
3128
+ "step": 2510
3129
+ },
3130
+ {
3131
+ "epoch": 12.64,
3132
+ "learning_rate": 4.679940454037961e-06,
3133
+ "loss": 0.0684,
3134
+ "step": 2515
3135
+ },
3136
+ {
3137
+ "epoch": 12.66,
3138
+ "learning_rate": 4.6892445106066245e-06,
3139
+ "loss": 0.0028,
3140
+ "step": 2520
3141
+ },
3142
+ {
3143
+ "epoch": 12.69,
3144
+ "learning_rate": 4.698548567175289e-06,
3145
+ "loss": 0.0125,
3146
+ "step": 2525
3147
+ },
3148
+ {
3149
+ "epoch": 12.71,
3150
+ "learning_rate": 4.7078526237439525e-06,
3151
+ "loss": 0.0309,
3152
+ "step": 2530
3153
+ },
3154
+ {
3155
+ "epoch": 12.74,
3156
+ "learning_rate": 4.717156680312617e-06,
3157
+ "loss": 0.0301,
3158
+ "step": 2535
3159
+ },
3160
+ {
3161
+ "epoch": 12.76,
3162
+ "learning_rate": 4.7264607368812805e-06,
3163
+ "loss": 0.0347,
3164
+ "step": 2540
3165
+ },
3166
+ {
3167
+ "epoch": 12.79,
3168
+ "learning_rate": 4.735764793449945e-06,
3169
+ "loss": 0.0419,
3170
+ "step": 2545
3171
+ },
3172
+ {
3173
+ "epoch": 12.81,
3174
+ "learning_rate": 4.7450688500186084e-06,
3175
+ "loss": 0.0664,
3176
+ "step": 2550
3177
+ },
3178
+ {
3179
+ "epoch": 12.84,
3180
+ "learning_rate": 4.754372906587272e-06,
3181
+ "loss": 0.0961,
3182
+ "step": 2555
3183
+ },
3184
+ {
3185
+ "epoch": 12.86,
3186
+ "learning_rate": 4.7636769631559364e-06,
3187
+ "loss": 0.0475,
3188
+ "step": 2560
3189
+ },
3190
+ {
3191
+ "epoch": 12.89,
3192
+ "learning_rate": 4.7729810197246e-06,
3193
+ "loss": 0.0016,
3194
+ "step": 2565
3195
+ },
3196
+ {
3197
+ "epoch": 12.91,
3198
+ "learning_rate": 4.782285076293264e-06,
3199
+ "loss": 0.0427,
3200
+ "step": 2570
3201
+ },
3202
+ {
3203
+ "epoch": 12.94,
3204
+ "learning_rate": 4.791589132861928e-06,
3205
+ "loss": 0.0263,
3206
+ "step": 2575
3207
+ },
3208
+ {
3209
+ "epoch": 12.96,
3210
+ "learning_rate": 4.800893189430592e-06,
3211
+ "loss": 0.0381,
3212
+ "step": 2580
3213
+ },
3214
+ {
3215
+ "epoch": 12.99,
3216
+ "learning_rate": 4.810197245999256e-06,
3217
+ "loss": 0.014,
3218
+ "step": 2585
3219
+ },
3220
+ {
3221
+ "epoch": 13.0,
3222
+ "eval_accuracy": 0.9797360980207351,
3223
+ "eval_loss": 0.07485808432102203,
3224
+ "eval_runtime": 86.0191,
3225
+ "eval_samples_per_second": 24.669,
3226
+ "eval_steps_per_second": 1.546,
3227
+ "step": 2587
3228
+ },
3229
+ {
3230
+ "epoch": 13.02,
3231
+ "learning_rate": 4.8195013025679195e-06,
3232
+ "loss": 0.102,
3233
+ "step": 2590
3234
+ },
3235
+ {
3236
+ "epoch": 13.04,
3237
+ "learning_rate": 4.828805359136584e-06,
3238
+ "loss": 0.0077,
3239
+ "step": 2595
3240
+ },
3241
+ {
3242
+ "epoch": 13.07,
3243
+ "learning_rate": 4.8381094157052475e-06,
3244
+ "loss": 0.05,
3245
+ "step": 2600
3246
+ },
3247
+ {
3248
+ "epoch": 13.09,
3249
+ "learning_rate": 4.847413472273912e-06,
3250
+ "loss": 0.0908,
3251
+ "step": 2605
3252
+ },
3253
+ {
3254
+ "epoch": 13.12,
3255
+ "learning_rate": 4.8567175288425755e-06,
3256
+ "loss": 0.0791,
3257
+ "step": 2610
3258
+ },
3259
+ {
3260
+ "epoch": 13.14,
3261
+ "learning_rate": 4.86602158541124e-06,
3262
+ "loss": 0.0168,
3263
+ "step": 2615
3264
+ },
3265
+ {
3266
+ "epoch": 13.17,
3267
+ "learning_rate": 4.8753256419799035e-06,
3268
+ "loss": 0.0008,
3269
+ "step": 2620
3270
+ },
3271
+ {
3272
+ "epoch": 13.19,
3273
+ "learning_rate": 4.884629698548568e-06,
3274
+ "loss": 0.0439,
3275
+ "step": 2625
3276
+ },
3277
+ {
3278
+ "epoch": 13.22,
3279
+ "learning_rate": 4.8939337551172315e-06,
3280
+ "loss": 0.0391,
3281
+ "step": 2630
3282
+ },
3283
+ {
3284
+ "epoch": 13.24,
3285
+ "learning_rate": 4.903237811685895e-06,
3286
+ "loss": 0.0288,
3287
+ "step": 2635
3288
+ },
3289
+ {
3290
+ "epoch": 13.27,
3291
+ "learning_rate": 4.9125418682545595e-06,
3292
+ "loss": 0.0544,
3293
+ "step": 2640
3294
+ },
3295
+ {
3296
+ "epoch": 13.29,
3297
+ "learning_rate": 4.921845924823223e-06,
3298
+ "loss": 0.0194,
3299
+ "step": 2645
3300
+ },
3301
+ {
3302
+ "epoch": 13.32,
3303
+ "learning_rate": 4.9311499813918875e-06,
3304
+ "loss": 0.0714,
3305
+ "step": 2650
3306
+ },
3307
+ {
3308
+ "epoch": 13.34,
3309
+ "learning_rate": 4.940454037960552e-06,
3310
+ "loss": 0.0032,
3311
+ "step": 2655
3312
+ },
3313
+ {
3314
+ "epoch": 13.37,
3315
+ "learning_rate": 4.9497580945292154e-06,
3316
+ "loss": 0.0144,
3317
+ "step": 2660
3318
+ },
3319
+ {
3320
+ "epoch": 13.39,
3321
+ "learning_rate": 4.959062151097879e-06,
3322
+ "loss": 0.0291,
3323
+ "step": 2665
3324
+ },
3325
+ {
3326
+ "epoch": 13.42,
3327
+ "learning_rate": 4.968366207666543e-06,
3328
+ "loss": 0.0368,
3329
+ "step": 2670
3330
+ },
3331
+ {
3332
+ "epoch": 13.44,
3333
+ "learning_rate": 4.977670264235207e-06,
3334
+ "loss": 0.0323,
3335
+ "step": 2675
3336
+ },
3337
+ {
3338
+ "epoch": 13.47,
3339
+ "learning_rate": 4.9869743208038706e-06,
3340
+ "loss": 0.0196,
3341
+ "step": 2680
3342
+ },
3343
+ {
3344
+ "epoch": 13.49,
3345
+ "learning_rate": 4.996278377372535e-06,
3346
+ "loss": 0.0567,
3347
+ "step": 2685
3348
+ },
3349
+ {
3350
+ "epoch": 13.52,
3351
+ "learning_rate": 4.949664429530202e-06,
3352
+ "loss": 0.0885,
3353
+ "step": 2690
3354
+ },
3355
+ {
3356
+ "epoch": 13.54,
3357
+ "learning_rate": 4.8657718120805375e-06,
3358
+ "loss": 0.0077,
3359
+ "step": 2695
3360
+ },
3361
+ {
3362
+ "epoch": 13.57,
3363
+ "learning_rate": 4.781879194630873e-06,
3364
+ "loss": 0.0844,
3365
+ "step": 2700
3366
+ },
3367
+ {
3368
+ "epoch": 13.59,
3369
+ "learning_rate": 4.697986577181208e-06,
3370
+ "loss": 0.0623,
3371
+ "step": 2705
3372
+ },
3373
+ {
3374
+ "epoch": 13.62,
3375
+ "learning_rate": 4.614093959731544e-06,
3376
+ "loss": 0.0506,
3377
+ "step": 2710
3378
+ },
3379
+ {
3380
+ "epoch": 13.64,
3381
+ "learning_rate": 4.530201342281879e-06,
3382
+ "loss": 0.0869,
3383
+ "step": 2715
3384
+ },
3385
+ {
3386
+ "epoch": 13.67,
3387
+ "learning_rate": 4.446308724832215e-06,
3388
+ "loss": 0.0554,
3389
+ "step": 2720
3390
+ },
3391
+ {
3392
+ "epoch": 13.69,
3393
+ "learning_rate": 4.362416107382551e-06,
3394
+ "loss": 0.0215,
3395
+ "step": 2725
3396
+ },
3397
+ {
3398
+ "epoch": 13.72,
3399
+ "learning_rate": 4.278523489932886e-06,
3400
+ "loss": 0.0298,
3401
+ "step": 2730
3402
+ },
3403
+ {
3404
+ "epoch": 13.74,
3405
+ "learning_rate": 4.194630872483222e-06,
3406
+ "loss": 0.0226,
3407
+ "step": 2735
3408
+ },
3409
+ {
3410
+ "epoch": 13.77,
3411
+ "learning_rate": 4.110738255033558e-06,
3412
+ "loss": 0.0192,
3413
+ "step": 2740
3414
+ },
3415
+ {
3416
+ "epoch": 13.79,
3417
+ "learning_rate": 4.026845637583892e-06,
3418
+ "loss": 0.0975,
3419
+ "step": 2745
3420
+ },
3421
+ {
3422
+ "epoch": 13.82,
3423
+ "learning_rate": 3.942953020134229e-06,
3424
+ "loss": 0.0455,
3425
+ "step": 2750
3426
+ },
3427
+ {
3428
+ "epoch": 13.84,
3429
+ "learning_rate": 3.859060402684564e-06,
3430
+ "loss": 0.0314,
3431
+ "step": 2755
3432
+ },
3433
+ {
3434
+ "epoch": 13.87,
3435
+ "learning_rate": 3.7751677852348994e-06,
3436
+ "loss": 0.0163,
3437
+ "step": 2760
3438
+ },
3439
+ {
3440
+ "epoch": 13.89,
3441
+ "learning_rate": 3.6912751677852355e-06,
3442
+ "loss": 0.0283,
3443
+ "step": 2765
3444
+ },
3445
+ {
3446
+ "epoch": 13.92,
3447
+ "learning_rate": 3.6073825503355707e-06,
3448
+ "loss": 0.0044,
3449
+ "step": 2770
3450
+ },
3451
+ {
3452
+ "epoch": 13.94,
3453
+ "learning_rate": 3.5234899328859064e-06,
3454
+ "loss": 0.0078,
3455
+ "step": 2775
3456
+ },
3457
+ {
3458
+ "epoch": 13.97,
3459
+ "learning_rate": 3.4395973154362416e-06,
3460
+ "loss": 0.0201,
3461
+ "step": 2780
3462
+ },
3463
+ {
3464
+ "epoch": 13.99,
3465
+ "learning_rate": 3.3557046979865777e-06,
3466
+ "loss": 0.096,
3467
+ "step": 2785
3468
+ },
3469
+ {
3470
+ "epoch": 14.0,
3471
+ "eval_accuracy": 0.9934024505183789,
3472
+ "eval_loss": 0.02680634893476963,
3473
+ "eval_runtime": 86.0801,
3474
+ "eval_samples_per_second": 24.651,
3475
+ "eval_steps_per_second": 1.545,
3476
+ "step": 2786
3477
+ },
3478
+ {
3479
+ "epoch": 14.02,
3480
+ "learning_rate": 3.271812080536913e-06,
3481
+ "loss": 0.0893,
3482
+ "step": 2790
3483
+ },
3484
+ {
3485
+ "epoch": 14.05,
3486
+ "learning_rate": 3.1879194630872486e-06,
3487
+ "loss": 0.0148,
3488
+ "step": 2795
3489
+ },
3490
+ {
3491
+ "epoch": 14.07,
3492
+ "learning_rate": 3.1040268456375843e-06,
3493
+ "loss": 0.0098,
3494
+ "step": 2800
3495
+ },
3496
+ {
3497
+ "epoch": 14.1,
3498
+ "learning_rate": 3.02013422818792e-06,
3499
+ "loss": 0.0079,
3500
+ "step": 2805
3501
+ },
3502
+ {
3503
+ "epoch": 14.12,
3504
+ "learning_rate": 2.936241610738255e-06,
3505
+ "loss": 0.0873,
3506
+ "step": 2810
3507
+ },
3508
+ {
3509
+ "epoch": 14.15,
3510
+ "learning_rate": 2.8523489932885904e-06,
3511
+ "loss": 0.0396,
3512
+ "step": 2815
3513
+ },
3514
+ {
3515
+ "epoch": 14.17,
3516
+ "learning_rate": 2.7684563758389265e-06,
3517
+ "loss": 0.0012,
3518
+ "step": 2820
3519
+ },
3520
+ {
3521
+ "epoch": 14.2,
3522
+ "learning_rate": 2.684563758389262e-06,
3523
+ "loss": 0.0012,
3524
+ "step": 2825
3525
+ },
3526
+ {
3527
+ "epoch": 14.22,
3528
+ "learning_rate": 2.6006711409395974e-06,
3529
+ "loss": 0.0507,
3530
+ "step": 2830
3531
+ },
3532
+ {
3533
+ "epoch": 14.25,
3534
+ "learning_rate": 2.5167785234899335e-06,
3535
+ "loss": 0.055,
3536
+ "step": 2835
3537
+ },
3538
+ {
3539
+ "epoch": 14.27,
3540
+ "learning_rate": 2.4328859060402687e-06,
3541
+ "loss": 0.003,
3542
+ "step": 2840
3543
+ },
3544
+ {
3545
+ "epoch": 14.3,
3546
+ "learning_rate": 2.348993288590604e-06,
3547
+ "loss": 0.014,
3548
+ "step": 2845
3549
+ },
3550
+ {
3551
+ "epoch": 14.32,
3552
+ "learning_rate": 2.2651006711409396e-06,
3553
+ "loss": 0.0065,
3554
+ "step": 2850
3555
+ },
3556
+ {
3557
+ "epoch": 14.35,
3558
+ "learning_rate": 2.1812080536912753e-06,
3559
+ "loss": 0.0195,
3560
+ "step": 2855
3561
+ },
3562
+ {
3563
+ "epoch": 14.37,
3564
+ "learning_rate": 2.097315436241611e-06,
3565
+ "loss": 0.0167,
3566
+ "step": 2860
3567
+ },
3568
+ {
3569
+ "epoch": 14.4,
3570
+ "learning_rate": 2.013422818791946e-06,
3571
+ "loss": 0.0397,
3572
+ "step": 2865
3573
+ },
3574
+ {
3575
+ "epoch": 14.42,
3576
+ "learning_rate": 1.929530201342282e-06,
3577
+ "loss": 0.0008,
3578
+ "step": 2870
3579
+ },
3580
+ {
3581
+ "epoch": 14.45,
3582
+ "learning_rate": 1.8456375838926177e-06,
3583
+ "loss": 0.0175,
3584
+ "step": 2875
3585
+ },
3586
+ {
3587
+ "epoch": 14.47,
3588
+ "learning_rate": 1.7617449664429532e-06,
3589
+ "loss": 0.0257,
3590
+ "step": 2880
3591
+ },
3592
+ {
3593
+ "epoch": 14.5,
3594
+ "learning_rate": 1.6778523489932889e-06,
3595
+ "loss": 0.0033,
3596
+ "step": 2885
3597
+ },
3598
+ {
3599
+ "epoch": 14.52,
3600
+ "learning_rate": 1.5939597315436243e-06,
3601
+ "loss": 0.0356,
3602
+ "step": 2890
3603
+ },
3604
+ {
3605
+ "epoch": 14.55,
3606
+ "learning_rate": 1.51006711409396e-06,
3607
+ "loss": 0.0244,
3608
+ "step": 2895
3609
+ },
3610
+ {
3611
+ "epoch": 14.57,
3612
+ "learning_rate": 1.4261744966442952e-06,
3613
+ "loss": 0.0103,
3614
+ "step": 2900
3615
+ },
3616
+ {
3617
+ "epoch": 14.6,
3618
+ "learning_rate": 1.342281879194631e-06,
3619
+ "loss": 0.0255,
3620
+ "step": 2905
3621
+ },
3622
+ {
3623
+ "epoch": 14.62,
3624
+ "learning_rate": 1.2583892617449667e-06,
3625
+ "loss": 0.003,
3626
+ "step": 2910
3627
+ },
3628
+ {
3629
+ "epoch": 14.65,
3630
+ "learning_rate": 1.174496644295302e-06,
3631
+ "loss": 0.0697,
3632
+ "step": 2915
3633
+ },
3634
+ {
3635
+ "epoch": 14.67,
3636
+ "learning_rate": 1.0906040268456377e-06,
3637
+ "loss": 0.0591,
3638
+ "step": 2920
3639
+ },
3640
+ {
3641
+ "epoch": 14.7,
3642
+ "learning_rate": 1.006711409395973e-06,
3643
+ "loss": 0.007,
3644
+ "step": 2925
3645
+ },
3646
+ {
3647
+ "epoch": 14.72,
3648
+ "learning_rate": 9.228187919463089e-07,
3649
+ "loss": 0.0063,
3650
+ "step": 2930
3651
+ },
3652
+ {
3653
+ "epoch": 14.75,
3654
+ "learning_rate": 8.389261744966444e-07,
3655
+ "loss": 0.0301,
3656
+ "step": 2935
3657
+ },
3658
+ {
3659
+ "epoch": 14.77,
3660
+ "learning_rate": 7.5503355704698e-07,
3661
+ "loss": 0.0056,
3662
+ "step": 2940
3663
+ },
3664
+ {
3665
+ "epoch": 14.8,
3666
+ "learning_rate": 6.711409395973155e-07,
3667
+ "loss": 0.0406,
3668
+ "step": 2945
3669
+ },
3670
+ {
3671
+ "epoch": 14.82,
3672
+ "learning_rate": 5.87248322147651e-07,
3673
+ "loss": 0.0192,
3674
+ "step": 2950
3675
+ },
3676
+ {
3677
+ "epoch": 14.85,
3678
+ "learning_rate": 5.033557046979866e-07,
3679
+ "loss": 0.045,
3680
+ "step": 2955
3681
+ },
3682
+ {
3683
+ "epoch": 14.87,
3684
+ "learning_rate": 4.194630872483222e-07,
3685
+ "loss": 0.0156,
3686
+ "step": 2960
3687
+ },
3688
+ {
3689
+ "epoch": 14.9,
3690
+ "learning_rate": 3.3557046979865777e-07,
3691
+ "loss": 0.0183,
3692
+ "step": 2965
3693
+ },
3694
+ {
3695
+ "epoch": 14.92,
3696
+ "learning_rate": 2.516778523489933e-07,
3697
+ "loss": 0.0013,
3698
+ "step": 2970
3699
+ },
3700
+ {
3701
+ "epoch": 14.95,
3702
+ "learning_rate": 1.6778523489932889e-07,
3703
+ "loss": 0.0081,
3704
+ "step": 2975
3705
+ },
3706
+ {
3707
+ "epoch": 14.97,
3708
+ "learning_rate": 8.389261744966444e-08,
3709
+ "loss": 0.0115,
3710
+ "step": 2980
3711
+ },
3712
+ {
3713
+ "epoch": 15.0,
3714
+ "learning_rate": 0.0,
3715
+ "loss": 0.0005,
3716
+ "step": 2985
3717
+ },
3718
+ {
3719
+ "epoch": 15.0,
3720
+ "eval_accuracy": 0.9957587181903864,
3721
+ "eval_loss": 0.014596104621887207,
3722
+ "eval_runtime": 85.895,
3723
+ "eval_samples_per_second": 24.705,
3724
+ "eval_steps_per_second": 1.548,
3725
+ "step": 2985
3726
+ },
3727
+ {
3728
+ "epoch": 15.0,
3729
+ "step": 2985,
3730
+ "total_flos": 2.6189408941190627e+19,
3731
+ "train_loss": 0.0015452209050444202,
3732
+ "train_runtime": 893.2543,
3733
+ "train_samples_per_second": 106.868,
3734
+ "train_steps_per_second": 3.342
3735
+ }
3736
+ ],
3737
+ "max_steps": 2985,
3738
+ "num_train_epochs": 15,
3739
+ "total_flos": 2.6189408941190627e+19,
3740
+ "trial_name": null,
3741
+ "trial_params": null
3742
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed7e174832b603466fc33f3238fc41805793c043e3e32bcc34e79490831c0ea3
3
+ size 4155