Upload folder using huggingface_hub
Browse files- config.json +34 -0
- optimizer.pt +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1204 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"id2label": {
|
12 |
+
"0": "Benign",
|
13 |
+
"1": "Malignant",
|
14 |
+
"2": "NoTumor"
|
15 |
+
},
|
16 |
+
"image_size": 224,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"label2id": {
|
20 |
+
"Benign": "0",
|
21 |
+
"Malignant": "1",
|
22 |
+
"NoTumor": "2"
|
23 |
+
},
|
24 |
+
"layer_norm_eps": 1e-12,
|
25 |
+
"model_type": "vit",
|
26 |
+
"num_attention_heads": 12,
|
27 |
+
"num_channels": 3,
|
28 |
+
"num_hidden_layers": 12,
|
29 |
+
"patch_size": 16,
|
30 |
+
"problem_type": "single_label_classification",
|
31 |
+
"qkv_bias": true,
|
32 |
+
"torch_dtype": "float32",
|
33 |
+
"transformers_version": "4.31.0"
|
34 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dc6dcb2db7a78f00b45605896aec0180d9a8a8061921b34b8312486d3a61702f
|
3 |
+
size 686525061
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTFeatureExtractor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f291da0382777c2ad7bff355115390c76e789bf6bf2037ababcf6b50a4708405
|
3 |
+
size 343271789
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8839cdafbeb5ee30636918c46809ccb433603424aa23b658cf5ea835ffc00a1
|
3 |
+
size 14575
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20a317f904da7d5fccd2ce998c858bbee363f4c0c196596f0a4d881e791b8e14
|
3 |
+
size 627
|
trainer_state.json
ADDED
@@ -0,0 +1,1204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.05584140494465828,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-960",
|
4 |
+
"epoch": 3.9130434782608696,
|
5 |
+
"global_step": 1440,
|
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": 0.0001986413043478261,
|
13 |
+
"loss": 0.5178,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.05,
|
18 |
+
"learning_rate": 0.0001972826086956522,
|
19 |
+
"loss": 0.1889,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.08,
|
24 |
+
"learning_rate": 0.00019592391304347828,
|
25 |
+
"loss": 0.1312,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.11,
|
30 |
+
"learning_rate": 0.00019456521739130434,
|
31 |
+
"loss": 0.1188,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.11,
|
36 |
+
"eval_accuracy": 0.9645776566757494,
|
37 |
+
"eval_loss": 0.13658936321735382,
|
38 |
+
"eval_runtime": 16.3774,
|
39 |
+
"eval_samples_per_second": 44.818,
|
40 |
+
"eval_steps_per_second": 5.617,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.14,
|
45 |
+
"learning_rate": 0.00019320652173913046,
|
46 |
+
"loss": 0.2121,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 0.16,
|
51 |
+
"learning_rate": 0.00019184782608695653,
|
52 |
+
"loss": 0.1603,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.19,
|
57 |
+
"learning_rate": 0.00019048913043478262,
|
58 |
+
"loss": 0.0693,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.22,
|
63 |
+
"learning_rate": 0.0001891304347826087,
|
64 |
+
"loss": 0.1173,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.22,
|
69 |
+
"eval_accuracy": 0.9686648501362398,
|
70 |
+
"eval_loss": 0.11560923606157303,
|
71 |
+
"eval_runtime": 17.9116,
|
72 |
+
"eval_samples_per_second": 40.979,
|
73 |
+
"eval_steps_per_second": 5.136,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.24,
|
78 |
+
"learning_rate": 0.0001877717391304348,
|
79 |
+
"loss": 0.1313,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.27,
|
84 |
+
"learning_rate": 0.0001864130434782609,
|
85 |
+
"loss": 0.07,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3,
|
90 |
+
"learning_rate": 0.00018505434782608698,
|
91 |
+
"loss": 0.0911,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.33,
|
96 |
+
"learning_rate": 0.00018369565217391304,
|
97 |
+
"loss": 0.1286,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.33,
|
102 |
+
"eval_accuracy": 0.9782016348773842,
|
103 |
+
"eval_loss": 0.08449282497167587,
|
104 |
+
"eval_runtime": 16.6099,
|
105 |
+
"eval_samples_per_second": 44.19,
|
106 |
+
"eval_steps_per_second": 5.539,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.35,
|
111 |
+
"learning_rate": 0.00018233695652173913,
|
112 |
+
"loss": 0.0904,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.38,
|
117 |
+
"learning_rate": 0.00018097826086956522,
|
118 |
+
"loss": 0.145,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.41,
|
123 |
+
"learning_rate": 0.0001796195652173913,
|
124 |
+
"loss": 0.0803,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.43,
|
129 |
+
"learning_rate": 0.0001782608695652174,
|
130 |
+
"loss": 0.0715,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.43,
|
135 |
+
"eval_accuracy": 0.9754768392370572,
|
136 |
+
"eval_loss": 0.08169694244861603,
|
137 |
+
"eval_runtime": 16.7496,
|
138 |
+
"eval_samples_per_second": 43.822,
|
139 |
+
"eval_steps_per_second": 5.493,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.46,
|
144 |
+
"learning_rate": 0.0001769021739130435,
|
145 |
+
"loss": 0.1404,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.49,
|
150 |
+
"learning_rate": 0.00017554347826086956,
|
151 |
+
"loss": 0.2379,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.52,
|
156 |
+
"learning_rate": 0.00017418478260869567,
|
157 |
+
"loss": 0.1005,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.54,
|
162 |
+
"learning_rate": 0.00017282608695652174,
|
163 |
+
"loss": 0.131,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.54,
|
168 |
+
"eval_accuracy": 0.9564032697547684,
|
169 |
+
"eval_loss": 0.17271830141544342,
|
170 |
+
"eval_runtime": 17.335,
|
171 |
+
"eval_samples_per_second": 42.342,
|
172 |
+
"eval_steps_per_second": 5.307,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 0.57,
|
177 |
+
"learning_rate": 0.00017146739130434783,
|
178 |
+
"loss": 0.0959,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.6,
|
183 |
+
"learning_rate": 0.00017010869565217392,
|
184 |
+
"loss": 0.0672,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.62,
|
189 |
+
"learning_rate": 0.00016875,
|
190 |
+
"loss": 0.1202,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.65,
|
195 |
+
"learning_rate": 0.0001673913043478261,
|
196 |
+
"loss": 0.1347,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.65,
|
201 |
+
"eval_accuracy": 0.9782016348773842,
|
202 |
+
"eval_loss": 0.08324442058801651,
|
203 |
+
"eval_runtime": 17.0177,
|
204 |
+
"eval_samples_per_second": 43.132,
|
205 |
+
"eval_steps_per_second": 5.406,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.68,
|
210 |
+
"learning_rate": 0.0001660326086956522,
|
211 |
+
"loss": 0.0863,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.71,
|
216 |
+
"learning_rate": 0.00016467391304347828,
|
217 |
+
"loss": 0.1664,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.73,
|
222 |
+
"learning_rate": 0.00016331521739130434,
|
223 |
+
"loss": 0.1342,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.76,
|
228 |
+
"learning_rate": 0.00016195652173913046,
|
229 |
+
"loss": 0.1421,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.76,
|
234 |
+
"eval_accuracy": 0.9686648501362398,
|
235 |
+
"eval_loss": 0.10627246648073196,
|
236 |
+
"eval_runtime": 17.0559,
|
237 |
+
"eval_samples_per_second": 43.035,
|
238 |
+
"eval_steps_per_second": 5.394,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.79,
|
243 |
+
"learning_rate": 0.00016059782608695652,
|
244 |
+
"loss": 0.087,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.82,
|
249 |
+
"learning_rate": 0.00015923913043478262,
|
250 |
+
"loss": 0.1118,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.84,
|
255 |
+
"learning_rate": 0.0001578804347826087,
|
256 |
+
"loss": 0.1376,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.87,
|
261 |
+
"learning_rate": 0.0001565217391304348,
|
262 |
+
"loss": 0.0761,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.87,
|
267 |
+
"eval_accuracy": 0.9754768392370572,
|
268 |
+
"eval_loss": 0.09320751577615738,
|
269 |
+
"eval_runtime": 16.7943,
|
270 |
+
"eval_samples_per_second": 43.705,
|
271 |
+
"eval_steps_per_second": 5.478,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.9,
|
276 |
+
"learning_rate": 0.00015516304347826086,
|
277 |
+
"loss": 0.0989,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.92,
|
282 |
+
"learning_rate": 0.00015380434782608698,
|
283 |
+
"loss": 0.0366,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.95,
|
288 |
+
"learning_rate": 0.00015244565217391304,
|
289 |
+
"loss": 0.1462,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.98,
|
294 |
+
"learning_rate": 0.00015108695652173913,
|
295 |
+
"loss": 0.0823,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.98,
|
300 |
+
"eval_accuracy": 0.9782016348773842,
|
301 |
+
"eval_loss": 0.07622215896844864,
|
302 |
+
"eval_runtime": 16.6368,
|
303 |
+
"eval_samples_per_second": 44.119,
|
304 |
+
"eval_steps_per_second": 5.53,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.01,
|
309 |
+
"learning_rate": 0.00014972826086956522,
|
310 |
+
"loss": 0.0875,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.03,
|
315 |
+
"learning_rate": 0.0001483695652173913,
|
316 |
+
"loss": 0.0605,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.06,
|
321 |
+
"learning_rate": 0.0001470108695652174,
|
322 |
+
"loss": 0.1191,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 1.09,
|
327 |
+
"learning_rate": 0.0001456521739130435,
|
328 |
+
"loss": 0.0961,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.09,
|
333 |
+
"eval_accuracy": 0.9782016348773842,
|
334 |
+
"eval_loss": 0.07835610955953598,
|
335 |
+
"eval_runtime": 16.8911,
|
336 |
+
"eval_samples_per_second": 43.455,
|
337 |
+
"eval_steps_per_second": 5.447,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.11,
|
342 |
+
"learning_rate": 0.00014429347826086956,
|
343 |
+
"loss": 0.1104,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 1.14,
|
348 |
+
"learning_rate": 0.00014293478260869567,
|
349 |
+
"loss": 0.0785,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 1.17,
|
354 |
+
"learning_rate": 0.00014157608695652174,
|
355 |
+
"loss": 0.1137,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 1.2,
|
360 |
+
"learning_rate": 0.00014021739130434783,
|
361 |
+
"loss": 0.099,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 1.2,
|
366 |
+
"eval_accuracy": 0.9550408719346049,
|
367 |
+
"eval_loss": 0.15678562223911285,
|
368 |
+
"eval_runtime": 16.7723,
|
369 |
+
"eval_samples_per_second": 43.763,
|
370 |
+
"eval_steps_per_second": 5.485,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 1.22,
|
375 |
+
"learning_rate": 0.00013885869565217392,
|
376 |
+
"loss": 0.0959,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.25,
|
381 |
+
"learning_rate": 0.0001375,
|
382 |
+
"loss": 0.0755,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.28,
|
387 |
+
"learning_rate": 0.0001361413043478261,
|
388 |
+
"loss": 0.0629,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.3,
|
393 |
+
"learning_rate": 0.0001347826086956522,
|
394 |
+
"loss": 0.054,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.3,
|
399 |
+
"eval_accuracy": 0.9782016348773842,
|
400 |
+
"eval_loss": 0.07049289345741272,
|
401 |
+
"eval_runtime": 17.2374,
|
402 |
+
"eval_samples_per_second": 42.582,
|
403 |
+
"eval_steps_per_second": 5.337,
|
404 |
+
"step": 480
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 1.33,
|
408 |
+
"learning_rate": 0.00013342391304347828,
|
409 |
+
"loss": 0.0202,
|
410 |
+
"step": 490
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.36,
|
414 |
+
"learning_rate": 0.00013206521739130434,
|
415 |
+
"loss": 0.0476,
|
416 |
+
"step": 500
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 1.39,
|
420 |
+
"learning_rate": 0.00013070652173913046,
|
421 |
+
"loss": 0.0309,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.41,
|
426 |
+
"learning_rate": 0.00012934782608695652,
|
427 |
+
"loss": 0.0876,
|
428 |
+
"step": 520
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 1.41,
|
432 |
+
"eval_accuracy": 0.9782016348773842,
|
433 |
+
"eval_loss": 0.07148320972919464,
|
434 |
+
"eval_runtime": 16.6678,
|
435 |
+
"eval_samples_per_second": 44.037,
|
436 |
+
"eval_steps_per_second": 5.52,
|
437 |
+
"step": 520
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.44,
|
441 |
+
"learning_rate": 0.00012798913043478261,
|
442 |
+
"loss": 0.0667,
|
443 |
+
"step": 530
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.47,
|
447 |
+
"learning_rate": 0.0001266304347826087,
|
448 |
+
"loss": 0.0504,
|
449 |
+
"step": 540
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.49,
|
453 |
+
"learning_rate": 0.0001252717391304348,
|
454 |
+
"loss": 0.086,
|
455 |
+
"step": 550
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.52,
|
459 |
+
"learning_rate": 0.00012391304347826086,
|
460 |
+
"loss": 0.0454,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.52,
|
465 |
+
"eval_accuracy": 0.9782016348773842,
|
466 |
+
"eval_loss": 0.07060308009386063,
|
467 |
+
"eval_runtime": 16.826,
|
468 |
+
"eval_samples_per_second": 43.623,
|
469 |
+
"eval_steps_per_second": 5.468,
|
470 |
+
"step": 560
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 1.55,
|
474 |
+
"learning_rate": 0.00012255434782608698,
|
475 |
+
"loss": 0.0976,
|
476 |
+
"step": 570
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 1.58,
|
480 |
+
"learning_rate": 0.00012119565217391304,
|
481 |
+
"loss": 0.0721,
|
482 |
+
"step": 580
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 1.6,
|
486 |
+
"learning_rate": 0.00011983695652173914,
|
487 |
+
"loss": 0.0632,
|
488 |
+
"step": 590
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 1.63,
|
492 |
+
"learning_rate": 0.00011847826086956522,
|
493 |
+
"loss": 0.0645,
|
494 |
+
"step": 600
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.63,
|
498 |
+
"eval_accuracy": 0.9768392370572208,
|
499 |
+
"eval_loss": 0.06225130707025528,
|
500 |
+
"eval_runtime": 16.7524,
|
501 |
+
"eval_samples_per_second": 43.815,
|
502 |
+
"eval_steps_per_second": 5.492,
|
503 |
+
"step": 600
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.66,
|
507 |
+
"learning_rate": 0.00011711956521739131,
|
508 |
+
"loss": 0.0651,
|
509 |
+
"step": 610
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 1.68,
|
513 |
+
"learning_rate": 0.00011576086956521739,
|
514 |
+
"loss": 0.1066,
|
515 |
+
"step": 620
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.71,
|
519 |
+
"learning_rate": 0.00011440217391304349,
|
520 |
+
"loss": 0.0589,
|
521 |
+
"step": 630
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.74,
|
525 |
+
"learning_rate": 0.00011304347826086956,
|
526 |
+
"loss": 0.1375,
|
527 |
+
"step": 640
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.74,
|
531 |
+
"eval_accuracy": 0.9591280653950953,
|
532 |
+
"eval_loss": 0.08669634163379669,
|
533 |
+
"eval_runtime": 16.6315,
|
534 |
+
"eval_samples_per_second": 44.133,
|
535 |
+
"eval_steps_per_second": 5.532,
|
536 |
+
"step": 640
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.77,
|
540 |
+
"learning_rate": 0.00011168478260869566,
|
541 |
+
"loss": 0.0579,
|
542 |
+
"step": 650
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.79,
|
546 |
+
"learning_rate": 0.00011032608695652174,
|
547 |
+
"loss": 0.085,
|
548 |
+
"step": 660
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.82,
|
552 |
+
"learning_rate": 0.00010896739130434783,
|
553 |
+
"loss": 0.0802,
|
554 |
+
"step": 670
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.85,
|
558 |
+
"learning_rate": 0.0001076086956521739,
|
559 |
+
"loss": 0.0702,
|
560 |
+
"step": 680
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.85,
|
564 |
+
"eval_accuracy": 0.9782016348773842,
|
565 |
+
"eval_loss": 0.06121528893709183,
|
566 |
+
"eval_runtime": 17.1568,
|
567 |
+
"eval_samples_per_second": 42.782,
|
568 |
+
"eval_steps_per_second": 5.362,
|
569 |
+
"step": 680
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.88,
|
573 |
+
"learning_rate": 0.00010625000000000001,
|
574 |
+
"loss": 0.0445,
|
575 |
+
"step": 690
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 1.9,
|
579 |
+
"learning_rate": 0.0001048913043478261,
|
580 |
+
"loss": 0.0917,
|
581 |
+
"step": 700
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.93,
|
585 |
+
"learning_rate": 0.00010353260869565218,
|
586 |
+
"loss": 0.0758,
|
587 |
+
"step": 710
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 1.96,
|
591 |
+
"learning_rate": 0.00010217391304347828,
|
592 |
+
"loss": 0.1081,
|
593 |
+
"step": 720
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 1.96,
|
597 |
+
"eval_accuracy": 0.9782016348773842,
|
598 |
+
"eval_loss": 0.05692754313349724,
|
599 |
+
"eval_runtime": 16.578,
|
600 |
+
"eval_samples_per_second": 44.275,
|
601 |
+
"eval_steps_per_second": 5.55,
|
602 |
+
"step": 720
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.98,
|
606 |
+
"learning_rate": 0.00010081521739130436,
|
607 |
+
"loss": 0.0587,
|
608 |
+
"step": 730
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.01,
|
612 |
+
"learning_rate": 9.945652173913043e-05,
|
613 |
+
"loss": 0.079,
|
614 |
+
"step": 740
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 2.04,
|
618 |
+
"learning_rate": 9.809782608695652e-05,
|
619 |
+
"loss": 0.0371,
|
620 |
+
"step": 750
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 2.07,
|
624 |
+
"learning_rate": 9.673913043478261e-05,
|
625 |
+
"loss": 0.0594,
|
626 |
+
"step": 760
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 2.07,
|
630 |
+
"eval_accuracy": 0.9700272479564033,
|
631 |
+
"eval_loss": 0.06466467678546906,
|
632 |
+
"eval_runtime": 16.8988,
|
633 |
+
"eval_samples_per_second": 43.435,
|
634 |
+
"eval_steps_per_second": 5.444,
|
635 |
+
"step": 760
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 2.09,
|
639 |
+
"learning_rate": 9.538043478260869e-05,
|
640 |
+
"loss": 0.0905,
|
641 |
+
"step": 770
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 2.12,
|
645 |
+
"learning_rate": 9.402173913043478e-05,
|
646 |
+
"loss": 0.0642,
|
647 |
+
"step": 780
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 2.15,
|
651 |
+
"learning_rate": 9.266304347826087e-05,
|
652 |
+
"loss": 0.0939,
|
653 |
+
"step": 790
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 2.17,
|
657 |
+
"learning_rate": 9.130434782608696e-05,
|
658 |
+
"loss": 0.0541,
|
659 |
+
"step": 800
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 2.17,
|
663 |
+
"eval_accuracy": 0.9741144414168937,
|
664 |
+
"eval_loss": 0.08268817514181137,
|
665 |
+
"eval_runtime": 17.3128,
|
666 |
+
"eval_samples_per_second": 42.396,
|
667 |
+
"eval_steps_per_second": 5.314,
|
668 |
+
"step": 800
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 2.2,
|
672 |
+
"learning_rate": 8.994565217391305e-05,
|
673 |
+
"loss": 0.0772,
|
674 |
+
"step": 810
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.23,
|
678 |
+
"learning_rate": 8.858695652173914e-05,
|
679 |
+
"loss": 0.0625,
|
680 |
+
"step": 820
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 2.26,
|
684 |
+
"learning_rate": 8.722826086956522e-05,
|
685 |
+
"loss": 0.0259,
|
686 |
+
"step": 830
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 2.28,
|
690 |
+
"learning_rate": 8.586956521739131e-05,
|
691 |
+
"loss": 0.0257,
|
692 |
+
"step": 840
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.28,
|
696 |
+
"eval_accuracy": 0.9782016348773842,
|
697 |
+
"eval_loss": 0.10866793990135193,
|
698 |
+
"eval_runtime": 16.7914,
|
699 |
+
"eval_samples_per_second": 43.713,
|
700 |
+
"eval_steps_per_second": 5.479,
|
701 |
+
"step": 840
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 2.31,
|
705 |
+
"learning_rate": 8.45108695652174e-05,
|
706 |
+
"loss": 0.1028,
|
707 |
+
"step": 850
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 2.34,
|
711 |
+
"learning_rate": 8.315217391304349e-05,
|
712 |
+
"loss": 0.0372,
|
713 |
+
"step": 860
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.36,
|
717 |
+
"learning_rate": 8.179347826086957e-05,
|
718 |
+
"loss": 0.1126,
|
719 |
+
"step": 870
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 2.39,
|
723 |
+
"learning_rate": 8.043478260869566e-05,
|
724 |
+
"loss": 0.0532,
|
725 |
+
"step": 880
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 2.39,
|
729 |
+
"eval_accuracy": 0.9686648501362398,
|
730 |
+
"eval_loss": 0.05911888927221298,
|
731 |
+
"eval_runtime": 17.5644,
|
732 |
+
"eval_samples_per_second": 41.789,
|
733 |
+
"eval_steps_per_second": 5.238,
|
734 |
+
"step": 880
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.42,
|
738 |
+
"learning_rate": 7.907608695652175e-05,
|
739 |
+
"loss": 0.0423,
|
740 |
+
"step": 890
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 2.45,
|
744 |
+
"learning_rate": 7.771739130434783e-05,
|
745 |
+
"loss": 0.0261,
|
746 |
+
"step": 900
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 2.47,
|
750 |
+
"learning_rate": 7.635869565217392e-05,
|
751 |
+
"loss": 0.0879,
|
752 |
+
"step": 910
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 2.5,
|
756 |
+
"learning_rate": 7.500000000000001e-05,
|
757 |
+
"loss": 0.0858,
|
758 |
+
"step": 920
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.5,
|
762 |
+
"eval_accuracy": 0.9673024523160763,
|
763 |
+
"eval_loss": 0.07639381289482117,
|
764 |
+
"eval_runtime": 16.7842,
|
765 |
+
"eval_samples_per_second": 43.732,
|
766 |
+
"eval_steps_per_second": 5.481,
|
767 |
+
"step": 920
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 2.53,
|
771 |
+
"learning_rate": 7.364130434782608e-05,
|
772 |
+
"loss": 0.0465,
|
773 |
+
"step": 930
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 2.55,
|
777 |
+
"learning_rate": 7.228260869565217e-05,
|
778 |
+
"loss": 0.1374,
|
779 |
+
"step": 940
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 2.58,
|
783 |
+
"learning_rate": 7.092391304347826e-05,
|
784 |
+
"loss": 0.0491,
|
785 |
+
"step": 950
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 2.61,
|
789 |
+
"learning_rate": 6.956521739130436e-05,
|
790 |
+
"loss": 0.0619,
|
791 |
+
"step": 960
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 2.61,
|
795 |
+
"eval_accuracy": 0.9782016348773842,
|
796 |
+
"eval_loss": 0.05584140494465828,
|
797 |
+
"eval_runtime": 16.6696,
|
798 |
+
"eval_samples_per_second": 44.032,
|
799 |
+
"eval_steps_per_second": 5.519,
|
800 |
+
"step": 960
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 2.64,
|
804 |
+
"learning_rate": 6.820652173913043e-05,
|
805 |
+
"loss": 0.0465,
|
806 |
+
"step": 970
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 2.66,
|
810 |
+
"learning_rate": 6.684782608695652e-05,
|
811 |
+
"loss": 0.0398,
|
812 |
+
"step": 980
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 2.69,
|
816 |
+
"learning_rate": 6.548913043478261e-05,
|
817 |
+
"loss": 0.0594,
|
818 |
+
"step": 990
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 2.72,
|
822 |
+
"learning_rate": 6.413043478260869e-05,
|
823 |
+
"loss": 0.0371,
|
824 |
+
"step": 1000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 2.72,
|
828 |
+
"eval_accuracy": 0.9782016348773842,
|
829 |
+
"eval_loss": 0.05662958696484566,
|
830 |
+
"eval_runtime": 17.4938,
|
831 |
+
"eval_samples_per_second": 41.958,
|
832 |
+
"eval_steps_per_second": 5.259,
|
833 |
+
"step": 1000
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 2.74,
|
837 |
+
"learning_rate": 6.277173913043478e-05,
|
838 |
+
"loss": 0.0546,
|
839 |
+
"step": 1010
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 2.77,
|
843 |
+
"learning_rate": 6.141304347826087e-05,
|
844 |
+
"loss": 0.0603,
|
845 |
+
"step": 1020
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 2.8,
|
849 |
+
"learning_rate": 6.0054347826086955e-05,
|
850 |
+
"loss": 0.0592,
|
851 |
+
"step": 1030
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 2.83,
|
855 |
+
"learning_rate": 5.869565217391305e-05,
|
856 |
+
"loss": 0.037,
|
857 |
+
"step": 1040
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 2.83,
|
861 |
+
"eval_accuracy": 0.9782016348773842,
|
862 |
+
"eval_loss": 0.061389077454805374,
|
863 |
+
"eval_runtime": 16.7472,
|
864 |
+
"eval_samples_per_second": 43.828,
|
865 |
+
"eval_steps_per_second": 5.493,
|
866 |
+
"step": 1040
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 2.85,
|
870 |
+
"learning_rate": 5.7336956521739136e-05,
|
871 |
+
"loss": 0.0693,
|
872 |
+
"step": 1050
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 2.88,
|
876 |
+
"learning_rate": 5.5978260869565226e-05,
|
877 |
+
"loss": 0.0781,
|
878 |
+
"step": 1060
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 2.91,
|
882 |
+
"learning_rate": 5.461956521739131e-05,
|
883 |
+
"loss": 0.0662,
|
884 |
+
"step": 1070
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.93,
|
888 |
+
"learning_rate": 5.32608695652174e-05,
|
889 |
+
"loss": 0.0492,
|
890 |
+
"step": 1080
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 2.93,
|
894 |
+
"eval_accuracy": 0.9782016348773842,
|
895 |
+
"eval_loss": 0.05865919589996338,
|
896 |
+
"eval_runtime": 16.6677,
|
897 |
+
"eval_samples_per_second": 44.037,
|
898 |
+
"eval_steps_per_second": 5.52,
|
899 |
+
"step": 1080
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 2.96,
|
903 |
+
"learning_rate": 5.1902173913043484e-05,
|
904 |
+
"loss": 0.0518,
|
905 |
+
"step": 1090
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.99,
|
909 |
+
"learning_rate": 5.054347826086957e-05,
|
910 |
+
"loss": 0.0237,
|
911 |
+
"step": 1100
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 3.02,
|
915 |
+
"learning_rate": 4.918478260869566e-05,
|
916 |
+
"loss": 0.047,
|
917 |
+
"step": 1110
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 3.04,
|
921 |
+
"learning_rate": 4.782608695652174e-05,
|
922 |
+
"loss": 0.0497,
|
923 |
+
"step": 1120
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 3.04,
|
927 |
+
"eval_accuracy": 0.9782016348773842,
|
928 |
+
"eval_loss": 0.05894890055060387,
|
929 |
+
"eval_runtime": 17.4733,
|
930 |
+
"eval_samples_per_second": 42.007,
|
931 |
+
"eval_steps_per_second": 5.265,
|
932 |
+
"step": 1120
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 3.07,
|
936 |
+
"learning_rate": 4.646739130434783e-05,
|
937 |
+
"loss": 0.0302,
|
938 |
+
"step": 1130
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 3.1,
|
942 |
+
"learning_rate": 4.5108695652173916e-05,
|
943 |
+
"loss": 0.0536,
|
944 |
+
"step": 1140
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 3.12,
|
948 |
+
"learning_rate": 4.375e-05,
|
949 |
+
"loss": 0.0477,
|
950 |
+
"step": 1150
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 3.15,
|
954 |
+
"learning_rate": 4.239130434782609e-05,
|
955 |
+
"loss": 0.0399,
|
956 |
+
"step": 1160
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 3.15,
|
960 |
+
"eval_accuracy": 0.9782016348773842,
|
961 |
+
"eval_loss": 0.07955215126276016,
|
962 |
+
"eval_runtime": 16.6976,
|
963 |
+
"eval_samples_per_second": 43.958,
|
964 |
+
"eval_steps_per_second": 5.51,
|
965 |
+
"step": 1160
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 3.18,
|
969 |
+
"learning_rate": 4.1032608695652174e-05,
|
970 |
+
"loss": 0.0466,
|
971 |
+
"step": 1170
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 3.21,
|
975 |
+
"learning_rate": 3.9673913043478264e-05,
|
976 |
+
"loss": 0.0554,
|
977 |
+
"step": 1180
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 3.23,
|
981 |
+
"learning_rate": 3.831521739130435e-05,
|
982 |
+
"loss": 0.0568,
|
983 |
+
"step": 1190
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 3.26,
|
987 |
+
"learning_rate": 3.695652173913043e-05,
|
988 |
+
"loss": 0.0436,
|
989 |
+
"step": 1200
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 3.26,
|
993 |
+
"eval_accuracy": 0.9782016348773842,
|
994 |
+
"eval_loss": 0.05998248606920242,
|
995 |
+
"eval_runtime": 16.8038,
|
996 |
+
"eval_samples_per_second": 43.68,
|
997 |
+
"eval_steps_per_second": 5.475,
|
998 |
+
"step": 1200
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 3.29,
|
1002 |
+
"learning_rate": 3.559782608695653e-05,
|
1003 |
+
"loss": 0.0393,
|
1004 |
+
"step": 1210
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 3.32,
|
1008 |
+
"learning_rate": 3.423913043478261e-05,
|
1009 |
+
"loss": 0.0575,
|
1010 |
+
"step": 1220
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 3.34,
|
1014 |
+
"learning_rate": 3.2880434782608696e-05,
|
1015 |
+
"loss": 0.0526,
|
1016 |
+
"step": 1230
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 3.37,
|
1020 |
+
"learning_rate": 3.152173913043479e-05,
|
1021 |
+
"loss": 0.0514,
|
1022 |
+
"step": 1240
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 3.37,
|
1026 |
+
"eval_accuracy": 0.9686648501362398,
|
1027 |
+
"eval_loss": 0.06500357389450073,
|
1028 |
+
"eval_runtime": 16.7999,
|
1029 |
+
"eval_samples_per_second": 43.691,
|
1030 |
+
"eval_steps_per_second": 5.476,
|
1031 |
+
"step": 1240
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 3.4,
|
1035 |
+
"learning_rate": 3.016304347826087e-05,
|
1036 |
+
"loss": 0.0571,
|
1037 |
+
"step": 1250
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 3.42,
|
1041 |
+
"learning_rate": 2.8804347826086957e-05,
|
1042 |
+
"loss": 0.0567,
|
1043 |
+
"step": 1260
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 3.45,
|
1047 |
+
"learning_rate": 2.7445652173913044e-05,
|
1048 |
+
"loss": 0.0537,
|
1049 |
+
"step": 1270
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 3.48,
|
1053 |
+
"learning_rate": 2.608695652173913e-05,
|
1054 |
+
"loss": 0.0594,
|
1055 |
+
"step": 1280
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 3.48,
|
1059 |
+
"eval_accuracy": 0.9686648501362398,
|
1060 |
+
"eval_loss": 0.07097260653972626,
|
1061 |
+
"eval_runtime": 16.7073,
|
1062 |
+
"eval_samples_per_second": 43.933,
|
1063 |
+
"eval_steps_per_second": 5.507,
|
1064 |
+
"step": 1280
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 3.51,
|
1068 |
+
"learning_rate": 2.472826086956522e-05,
|
1069 |
+
"loss": 0.0405,
|
1070 |
+
"step": 1290
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 3.53,
|
1074 |
+
"learning_rate": 2.3369565217391306e-05,
|
1075 |
+
"loss": 0.0681,
|
1076 |
+
"step": 1300
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 3.56,
|
1080 |
+
"learning_rate": 2.2010869565217393e-05,
|
1081 |
+
"loss": 0.057,
|
1082 |
+
"step": 1310
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 3.59,
|
1086 |
+
"learning_rate": 2.065217391304348e-05,
|
1087 |
+
"loss": 0.0623,
|
1088 |
+
"step": 1320
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 3.59,
|
1092 |
+
"eval_accuracy": 0.9673024523160763,
|
1093 |
+
"eval_loss": 0.060318876057863235,
|
1094 |
+
"eval_runtime": 17.1669,
|
1095 |
+
"eval_samples_per_second": 42.757,
|
1096 |
+
"eval_steps_per_second": 5.359,
|
1097 |
+
"step": 1320
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 3.61,
|
1101 |
+
"learning_rate": 1.9293478260869567e-05,
|
1102 |
+
"loss": 0.0284,
|
1103 |
+
"step": 1330
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 3.64,
|
1107 |
+
"learning_rate": 1.793478260869565e-05,
|
1108 |
+
"loss": 0.047,
|
1109 |
+
"step": 1340
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 3.67,
|
1113 |
+
"learning_rate": 1.6576086956521738e-05,
|
1114 |
+
"loss": 0.0393,
|
1115 |
+
"step": 1350
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 3.7,
|
1119 |
+
"learning_rate": 1.5217391304347828e-05,
|
1120 |
+
"loss": 0.0497,
|
1121 |
+
"step": 1360
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 3.7,
|
1125 |
+
"eval_accuracy": 0.9645776566757494,
|
1126 |
+
"eval_loss": 0.06646621227264404,
|
1127 |
+
"eval_runtime": 17.3679,
|
1128 |
+
"eval_samples_per_second": 42.262,
|
1129 |
+
"eval_steps_per_second": 5.297,
|
1130 |
+
"step": 1360
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 3.72,
|
1134 |
+
"learning_rate": 1.3858695652173914e-05,
|
1135 |
+
"loss": 0.0718,
|
1136 |
+
"step": 1370
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 3.75,
|
1140 |
+
"learning_rate": 1.25e-05,
|
1141 |
+
"loss": 0.0455,
|
1142 |
+
"step": 1380
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 3.78,
|
1146 |
+
"learning_rate": 1.1141304347826088e-05,
|
1147 |
+
"loss": 0.0492,
|
1148 |
+
"step": 1390
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 3.8,
|
1152 |
+
"learning_rate": 9.782608695652175e-06,
|
1153 |
+
"loss": 0.0453,
|
1154 |
+
"step": 1400
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 3.8,
|
1158 |
+
"eval_accuracy": 0.9591280653950953,
|
1159 |
+
"eval_loss": 0.06604766100645065,
|
1160 |
+
"eval_runtime": 16.9729,
|
1161 |
+
"eval_samples_per_second": 43.246,
|
1162 |
+
"eval_steps_per_second": 5.42,
|
1163 |
+
"step": 1400
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 3.83,
|
1167 |
+
"learning_rate": 8.423913043478262e-06,
|
1168 |
+
"loss": 0.0627,
|
1169 |
+
"step": 1410
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 3.86,
|
1173 |
+
"learning_rate": 7.065217391304347e-06,
|
1174 |
+
"loss": 0.048,
|
1175 |
+
"step": 1420
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 3.89,
|
1179 |
+
"learning_rate": 5.706521739130435e-06,
|
1180 |
+
"loss": 0.0465,
|
1181 |
+
"step": 1430
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 3.91,
|
1185 |
+
"learning_rate": 4.347826086956522e-06,
|
1186 |
+
"loss": 0.0292,
|
1187 |
+
"step": 1440
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 3.91,
|
1191 |
+
"eval_accuracy": 0.9754768392370572,
|
1192 |
+
"eval_loss": 0.06895896792411804,
|
1193 |
+
"eval_runtime": 16.756,
|
1194 |
+
"eval_samples_per_second": 43.805,
|
1195 |
+
"eval_steps_per_second": 5.491,
|
1196 |
+
"step": 1440
|
1197 |
+
}
|
1198 |
+
],
|
1199 |
+
"max_steps": 1472,
|
1200 |
+
"num_train_epochs": 4,
|
1201 |
+
"total_flos": 1.781944272047278e+18,
|
1202 |
+
"trial_name": null,
|
1203 |
+
"trial_params": null
|
1204 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1798fce6b0d8dd1d5f03040dd3346140df5facb73133c871501b1c3a4bdcc7f7
|
3 |
+
size 3963
|