alicelouis
commited on
Commit
•
9bfbc6b
1
Parent(s):
b08156b
Upload 7 files
Browse files- all_results.json +8 -0
- config.json +60 -0
- preprocessor_config.json +29 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +3121 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"total_flos": 2.3238077313024e+19,
|
4 |
+
"train_loss": 0.07197937404424458,
|
5 |
+
"train_runtime": 7271.1721,
|
6 |
+
"train_samples_per_second": 41.259,
|
7 |
+
"train_steps_per_second": 0.648
|
8 |
+
}
|
config.json
ADDED
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/beit-base-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": 768,
|
15 |
+
"id2label": {
|
16 |
+
"0": "adenocarcinoma",
|
17 |
+
"1": "large.cell",
|
18 |
+
"2": "normal",
|
19 |
+
"3": "squamous.cell"
|
20 |
+
},
|
21 |
+
"image_size": 224,
|
22 |
+
"initializer_range": 0.02,
|
23 |
+
"intermediate_size": 3072,
|
24 |
+
"label2id": {
|
25 |
+
"adenocarcinoma": 0,
|
26 |
+
"large.cell": 1,
|
27 |
+
"normal": 2,
|
28 |
+
"squamous.cell": 3
|
29 |
+
},
|
30 |
+
"layer_norm_eps": 1e-12,
|
31 |
+
"layer_scale_init_value": 0.1,
|
32 |
+
"model_type": "beit",
|
33 |
+
"num_attention_heads": 12,
|
34 |
+
"num_channels": 3,
|
35 |
+
"num_hidden_layers": 12,
|
36 |
+
"out_indices": [
|
37 |
+
3,
|
38 |
+
5,
|
39 |
+
7,
|
40 |
+
11
|
41 |
+
],
|
42 |
+
"patch_size": 16,
|
43 |
+
"pool_scales": [
|
44 |
+
1,
|
45 |
+
2,
|
46 |
+
3,
|
47 |
+
6
|
48 |
+
],
|
49 |
+
"problem_type": "single_label_classification",
|
50 |
+
"semantic_loss_ignore_index": 255,
|
51 |
+
"torch_dtype": "float32",
|
52 |
+
"transformers_version": "4.28.1",
|
53 |
+
"use_absolute_position_embeddings": false,
|
54 |
+
"use_auxiliary_head": true,
|
55 |
+
"use_mask_token": false,
|
56 |
+
"use_mean_pooling": true,
|
57 |
+
"use_relative_position_bias": true,
|
58 |
+
"use_shared_relative_position_bias": false,
|
59 |
+
"vocab_size": 8192
|
60 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
"feature_extractor_type": "BeitFeatureExtractor",
|
12 |
+
"image_mean": [
|
13 |
+
0.5,
|
14 |
+
0.5,
|
15 |
+
0.5
|
16 |
+
],
|
17 |
+
"image_processor_type": "BeitImageProcessor",
|
18 |
+
"image_std": [
|
19 |
+
0.5,
|
20 |
+
0.5,
|
21 |
+
0.5
|
22 |
+
],
|
23 |
+
"resample": 2,
|
24 |
+
"rescale_factor": 0.00392156862745098,
|
25 |
+
"size": {
|
26 |
+
"height": 224,
|
27 |
+
"width": 224
|
28 |
+
}
|
29 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:57aec13aa760c216d7105e44de6b2271c2a1ca0dcd29e84b702f1fda5d2f3e03
|
3 |
+
size 346866553
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"total_flos": 2.3238077313024e+19,
|
4 |
+
"train_loss": 0.07197937404424458,
|
5 |
+
"train_runtime": 7271.1721,
|
6 |
+
"train_samples_per_second": 41.259,
|
7 |
+
"train_steps_per_second": 0.648
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3121 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.99,
|
3 |
+
"best_model_checkpoint": "./Beit-LungCancerbeit2e-5/checkpoint-3297",
|
4 |
+
"epoch": 30.0,
|
5 |
+
"global_step": 4710,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.06,
|
12 |
+
"learning_rate": 3.397027600849257e-07,
|
13 |
+
"loss": 1.7055,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.13,
|
18 |
+
"learning_rate": 7.643312101910829e-07,
|
19 |
+
"loss": 1.7461,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.19,
|
24 |
+
"learning_rate": 1.1889596602972401e-06,
|
25 |
+
"loss": 1.5472,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.25,
|
30 |
+
"learning_rate": 1.613588110403397e-06,
|
31 |
+
"loss": 1.2834,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.32,
|
36 |
+
"learning_rate": 2.0382165605095544e-06,
|
37 |
+
"loss": 1.0778,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.38,
|
42 |
+
"learning_rate": 2.4628450106157116e-06,
|
43 |
+
"loss": 0.9111,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.45,
|
48 |
+
"learning_rate": 2.8874734607218683e-06,
|
49 |
+
"loss": 0.8629,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.51,
|
54 |
+
"learning_rate": 3.3121019108280255e-06,
|
55 |
+
"loss": 0.7923,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.57,
|
60 |
+
"learning_rate": 3.7367303609341826e-06,
|
61 |
+
"loss": 0.7736,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.64,
|
66 |
+
"learning_rate": 4.16135881104034e-06,
|
67 |
+
"loss": 0.6986,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.7,
|
72 |
+
"learning_rate": 4.585987261146497e-06,
|
73 |
+
"loss": 0.6813,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.76,
|
78 |
+
"learning_rate": 5.0106157112526545e-06,
|
79 |
+
"loss": 0.6384,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.83,
|
84 |
+
"learning_rate": 5.435244161358811e-06,
|
85 |
+
"loss": 0.6333,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.89,
|
90 |
+
"learning_rate": 5.859872611464969e-06,
|
91 |
+
"loss": 0.5907,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.96,
|
96 |
+
"learning_rate": 6.284501061571126e-06,
|
97 |
+
"loss": 0.6305,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.0,
|
102 |
+
"eval_accuracy": 0.6375,
|
103 |
+
"eval_loss": 0.718781590461731,
|
104 |
+
"eval_runtime": 67.1207,
|
105 |
+
"eval_samples_per_second": 5.959,
|
106 |
+
"eval_steps_per_second": 0.745,
|
107 |
+
"step": 157
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.02,
|
111 |
+
"learning_rate": 6.709129511677282e-06,
|
112 |
+
"loss": 0.6018,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.08,
|
117 |
+
"learning_rate": 7.091295116772824e-06,
|
118 |
+
"loss": 0.5399,
|
119 |
+
"step": 170
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.15,
|
123 |
+
"learning_rate": 7.515923566878982e-06,
|
124 |
+
"loss": 0.5101,
|
125 |
+
"step": 180
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.21,
|
129 |
+
"learning_rate": 7.940552016985139e-06,
|
130 |
+
"loss": 0.5172,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.27,
|
135 |
+
"learning_rate": 8.365180467091297e-06,
|
136 |
+
"loss": 0.5191,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.34,
|
141 |
+
"learning_rate": 8.789808917197454e-06,
|
142 |
+
"loss": 0.4911,
|
143 |
+
"step": 210
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.4,
|
147 |
+
"learning_rate": 9.21443736730361e-06,
|
148 |
+
"loss": 0.511,
|
149 |
+
"step": 220
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.46,
|
153 |
+
"learning_rate": 9.639065817409767e-06,
|
154 |
+
"loss": 0.4754,
|
155 |
+
"step": 230
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.53,
|
159 |
+
"learning_rate": 1.0063694267515924e-05,
|
160 |
+
"loss": 0.4507,
|
161 |
+
"step": 240
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.59,
|
165 |
+
"learning_rate": 1.048832271762208e-05,
|
166 |
+
"loss": 0.4725,
|
167 |
+
"step": 250
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.66,
|
171 |
+
"learning_rate": 1.0912951167728239e-05,
|
172 |
+
"loss": 0.4585,
|
173 |
+
"step": 260
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.72,
|
177 |
+
"learning_rate": 1.1337579617834396e-05,
|
178 |
+
"loss": 0.4159,
|
179 |
+
"step": 270
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.78,
|
183 |
+
"learning_rate": 1.1762208067940553e-05,
|
184 |
+
"loss": 0.4225,
|
185 |
+
"step": 280
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.85,
|
189 |
+
"learning_rate": 1.218683651804671e-05,
|
190 |
+
"loss": 0.3766,
|
191 |
+
"step": 290
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.91,
|
195 |
+
"learning_rate": 1.2611464968152866e-05,
|
196 |
+
"loss": 0.4066,
|
197 |
+
"step": 300
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.97,
|
201 |
+
"learning_rate": 1.3036093418259024e-05,
|
202 |
+
"loss": 0.4162,
|
203 |
+
"step": 310
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 2.0,
|
207 |
+
"eval_accuracy": 0.87,
|
208 |
+
"eval_loss": 0.339584082365036,
|
209 |
+
"eval_runtime": 3.5366,
|
210 |
+
"eval_samples_per_second": 113.104,
|
211 |
+
"eval_steps_per_second": 14.138,
|
212 |
+
"step": 314
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.04,
|
216 |
+
"learning_rate": 1.3460721868365181e-05,
|
217 |
+
"loss": 0.3861,
|
218 |
+
"step": 320
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.1,
|
222 |
+
"learning_rate": 1.3885350318471338e-05,
|
223 |
+
"loss": 0.3062,
|
224 |
+
"step": 330
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.17,
|
228 |
+
"learning_rate": 1.4309978768577495e-05,
|
229 |
+
"loss": 0.2826,
|
230 |
+
"step": 340
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.23,
|
234 |
+
"learning_rate": 1.4734607218683651e-05,
|
235 |
+
"loss": 0.2979,
|
236 |
+
"step": 350
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 2.29,
|
240 |
+
"learning_rate": 1.5159235668789811e-05,
|
241 |
+
"loss": 0.2812,
|
242 |
+
"step": 360
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 2.36,
|
246 |
+
"learning_rate": 1.5583864118895968e-05,
|
247 |
+
"loss": 0.2323,
|
248 |
+
"step": 370
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.42,
|
252 |
+
"learning_rate": 1.6008492569002127e-05,
|
253 |
+
"loss": 0.2541,
|
254 |
+
"step": 380
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.48,
|
258 |
+
"learning_rate": 1.643312101910828e-05,
|
259 |
+
"loss": 0.229,
|
260 |
+
"step": 390
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.55,
|
264 |
+
"learning_rate": 1.685774946921444e-05,
|
265 |
+
"loss": 0.2631,
|
266 |
+
"step": 400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.61,
|
270 |
+
"learning_rate": 1.7282377919320595e-05,
|
271 |
+
"loss": 0.2704,
|
272 |
+
"step": 410
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.68,
|
276 |
+
"learning_rate": 1.7707006369426754e-05,
|
277 |
+
"loss": 0.2792,
|
278 |
+
"step": 420
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.74,
|
282 |
+
"learning_rate": 1.8131634819532912e-05,
|
283 |
+
"loss": 0.2358,
|
284 |
+
"step": 430
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.8,
|
288 |
+
"learning_rate": 1.8556263269639067e-05,
|
289 |
+
"loss": 0.248,
|
290 |
+
"step": 440
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.87,
|
294 |
+
"learning_rate": 1.8980891719745225e-05,
|
295 |
+
"loss": 0.1844,
|
296 |
+
"step": 450
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.93,
|
300 |
+
"learning_rate": 1.940552016985138e-05,
|
301 |
+
"loss": 0.2244,
|
302 |
+
"step": 460
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 2.99,
|
306 |
+
"learning_rate": 1.983014861995754e-05,
|
307 |
+
"loss": 0.192,
|
308 |
+
"step": 470
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.0,
|
312 |
+
"eval_accuracy": 0.925,
|
313 |
+
"eval_loss": 0.21070748567581177,
|
314 |
+
"eval_runtime": 3.5552,
|
315 |
+
"eval_samples_per_second": 112.511,
|
316 |
+
"eval_steps_per_second": 14.064,
|
317 |
+
"step": 471
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 3.06,
|
321 |
+
"learning_rate": 1.9971691436659592e-05,
|
322 |
+
"loss": 0.1972,
|
323 |
+
"step": 480
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 3.12,
|
327 |
+
"learning_rate": 1.9924510497758907e-05,
|
328 |
+
"loss": 0.1875,
|
329 |
+
"step": 490
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 3.18,
|
333 |
+
"learning_rate": 1.9877329558858223e-05,
|
334 |
+
"loss": 0.1261,
|
335 |
+
"step": 500
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 3.25,
|
339 |
+
"learning_rate": 1.983014861995754e-05,
|
340 |
+
"loss": 0.1463,
|
341 |
+
"step": 510
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 3.31,
|
345 |
+
"learning_rate": 1.9782967681056855e-05,
|
346 |
+
"loss": 0.1455,
|
347 |
+
"step": 520
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 3.38,
|
351 |
+
"learning_rate": 1.973578674215617e-05,
|
352 |
+
"loss": 0.1335,
|
353 |
+
"step": 530
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 3.44,
|
357 |
+
"learning_rate": 1.9688605803255486e-05,
|
358 |
+
"loss": 0.1754,
|
359 |
+
"step": 540
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 3.5,
|
363 |
+
"learning_rate": 1.9641424864354802e-05,
|
364 |
+
"loss": 0.1456,
|
365 |
+
"step": 550
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 3.57,
|
369 |
+
"learning_rate": 1.9594243925454118e-05,
|
370 |
+
"loss": 0.1693,
|
371 |
+
"step": 560
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.63,
|
375 |
+
"learning_rate": 1.9547062986553433e-05,
|
376 |
+
"loss": 0.1019,
|
377 |
+
"step": 570
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.69,
|
381 |
+
"learning_rate": 1.949988204765275e-05,
|
382 |
+
"loss": 0.1324,
|
383 |
+
"step": 580
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.76,
|
387 |
+
"learning_rate": 1.9452701108752065e-05,
|
388 |
+
"loss": 0.1422,
|
389 |
+
"step": 590
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.82,
|
393 |
+
"learning_rate": 1.940552016985138e-05,
|
394 |
+
"loss": 0.0882,
|
395 |
+
"step": 600
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 3.89,
|
399 |
+
"learning_rate": 1.9358339230950696e-05,
|
400 |
+
"loss": 0.1039,
|
401 |
+
"step": 610
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 3.95,
|
405 |
+
"learning_rate": 1.9311158292050015e-05,
|
406 |
+
"loss": 0.0832,
|
407 |
+
"step": 620
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 4.0,
|
411 |
+
"eval_accuracy": 0.8925,
|
412 |
+
"eval_loss": 0.31647127866744995,
|
413 |
+
"eval_runtime": 3.9256,
|
414 |
+
"eval_samples_per_second": 101.896,
|
415 |
+
"eval_steps_per_second": 12.737,
|
416 |
+
"step": 628
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 4.01,
|
420 |
+
"learning_rate": 1.926397735314933e-05,
|
421 |
+
"loss": 0.1326,
|
422 |
+
"step": 630
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 4.08,
|
426 |
+
"learning_rate": 1.9216796414248643e-05,
|
427 |
+
"loss": 0.0947,
|
428 |
+
"step": 640
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.14,
|
432 |
+
"learning_rate": 1.916961547534796e-05,
|
433 |
+
"loss": 0.0796,
|
434 |
+
"step": 650
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 4.2,
|
438 |
+
"learning_rate": 1.9122434536447275e-05,
|
439 |
+
"loss": 0.1037,
|
440 |
+
"step": 660
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 4.27,
|
444 |
+
"learning_rate": 1.9075253597546594e-05,
|
445 |
+
"loss": 0.0643,
|
446 |
+
"step": 670
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 4.33,
|
450 |
+
"learning_rate": 1.902807265864591e-05,
|
451 |
+
"loss": 0.0983,
|
452 |
+
"step": 680
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 4.39,
|
456 |
+
"learning_rate": 1.8980891719745225e-05,
|
457 |
+
"loss": 0.0984,
|
458 |
+
"step": 690
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 4.46,
|
462 |
+
"learning_rate": 1.893371078084454e-05,
|
463 |
+
"loss": 0.0654,
|
464 |
+
"step": 700
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 4.52,
|
468 |
+
"learning_rate": 1.8886529841943857e-05,
|
469 |
+
"loss": 0.0701,
|
470 |
+
"step": 710
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 4.59,
|
474 |
+
"learning_rate": 1.8839348903043173e-05,
|
475 |
+
"loss": 0.0725,
|
476 |
+
"step": 720
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 4.65,
|
480 |
+
"learning_rate": 1.879216796414249e-05,
|
481 |
+
"loss": 0.0336,
|
482 |
+
"step": 730
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 4.71,
|
486 |
+
"learning_rate": 1.8744987025241804e-05,
|
487 |
+
"loss": 0.0597,
|
488 |
+
"step": 740
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 4.78,
|
492 |
+
"learning_rate": 1.869780608634112e-05,
|
493 |
+
"loss": 0.0975,
|
494 |
+
"step": 750
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 4.84,
|
498 |
+
"learning_rate": 1.8650625147440436e-05,
|
499 |
+
"loss": 0.0814,
|
500 |
+
"step": 760
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 4.9,
|
504 |
+
"learning_rate": 1.860344420853975e-05,
|
505 |
+
"loss": 0.0812,
|
506 |
+
"step": 770
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 4.97,
|
510 |
+
"learning_rate": 1.8556263269639067e-05,
|
511 |
+
"loss": 0.0589,
|
512 |
+
"step": 780
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 5.0,
|
516 |
+
"eval_accuracy": 0.9825,
|
517 |
+
"eval_loss": 0.05781665816903114,
|
518 |
+
"eval_runtime": 3.5713,
|
519 |
+
"eval_samples_per_second": 112.003,
|
520 |
+
"eval_steps_per_second": 14.0,
|
521 |
+
"step": 785
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 5.03,
|
525 |
+
"learning_rate": 1.8509082330738383e-05,
|
526 |
+
"loss": 0.0605,
|
527 |
+
"step": 790
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 5.1,
|
531 |
+
"learning_rate": 1.84619013918377e-05,
|
532 |
+
"loss": 0.0455,
|
533 |
+
"step": 800
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 5.16,
|
537 |
+
"learning_rate": 1.8414720452937018e-05,
|
538 |
+
"loss": 0.0443,
|
539 |
+
"step": 810
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 5.22,
|
543 |
+
"learning_rate": 1.836753951403633e-05,
|
544 |
+
"loss": 0.0592,
|
545 |
+
"step": 820
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 5.29,
|
549 |
+
"learning_rate": 1.8320358575135646e-05,
|
550 |
+
"loss": 0.0462,
|
551 |
+
"step": 830
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 5.35,
|
555 |
+
"learning_rate": 1.827317763623496e-05,
|
556 |
+
"loss": 0.0535,
|
557 |
+
"step": 840
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 5.41,
|
561 |
+
"learning_rate": 1.8225996697334277e-05,
|
562 |
+
"loss": 0.0905,
|
563 |
+
"step": 850
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 5.48,
|
567 |
+
"learning_rate": 1.8178815758433593e-05,
|
568 |
+
"loss": 0.0432,
|
569 |
+
"step": 860
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 5.54,
|
573 |
+
"learning_rate": 1.8131634819532912e-05,
|
574 |
+
"loss": 0.0576,
|
575 |
+
"step": 870
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 5.61,
|
579 |
+
"learning_rate": 1.8084453880632228e-05,
|
580 |
+
"loss": 0.0209,
|
581 |
+
"step": 880
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 5.67,
|
585 |
+
"learning_rate": 1.8037272941731543e-05,
|
586 |
+
"loss": 0.0587,
|
587 |
+
"step": 890
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 5.73,
|
591 |
+
"learning_rate": 1.7990092002830856e-05,
|
592 |
+
"loss": 0.0327,
|
593 |
+
"step": 900
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 5.8,
|
597 |
+
"learning_rate": 1.794291106393017e-05,
|
598 |
+
"loss": 0.0707,
|
599 |
+
"step": 910
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 5.86,
|
603 |
+
"learning_rate": 1.789573012502949e-05,
|
604 |
+
"loss": 0.0613,
|
605 |
+
"step": 920
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 5.92,
|
609 |
+
"learning_rate": 1.7848549186128806e-05,
|
610 |
+
"loss": 0.0772,
|
611 |
+
"step": 930
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 5.99,
|
615 |
+
"learning_rate": 1.7801368247228122e-05,
|
616 |
+
"loss": 0.0243,
|
617 |
+
"step": 940
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 6.0,
|
621 |
+
"eval_accuracy": 0.9875,
|
622 |
+
"eval_loss": 0.0692724883556366,
|
623 |
+
"eval_runtime": 3.5461,
|
624 |
+
"eval_samples_per_second": 112.801,
|
625 |
+
"eval_steps_per_second": 14.1,
|
626 |
+
"step": 942
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 6.05,
|
630 |
+
"learning_rate": 1.7754187308327438e-05,
|
631 |
+
"loss": 0.0374,
|
632 |
+
"step": 950
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 6.11,
|
636 |
+
"learning_rate": 1.7707006369426754e-05,
|
637 |
+
"loss": 0.0676,
|
638 |
+
"step": 960
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 6.18,
|
642 |
+
"learning_rate": 1.765982543052607e-05,
|
643 |
+
"loss": 0.0218,
|
644 |
+
"step": 970
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 6.24,
|
648 |
+
"learning_rate": 1.7612644491625385e-05,
|
649 |
+
"loss": 0.0356,
|
650 |
+
"step": 980
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 6.31,
|
654 |
+
"learning_rate": 1.75654635527247e-05,
|
655 |
+
"loss": 0.0374,
|
656 |
+
"step": 990
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 6.37,
|
660 |
+
"learning_rate": 1.7518282613824017e-05,
|
661 |
+
"loss": 0.027,
|
662 |
+
"step": 1000
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 6.43,
|
666 |
+
"learning_rate": 1.7471101674923332e-05,
|
667 |
+
"loss": 0.0303,
|
668 |
+
"step": 1010
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 6.5,
|
672 |
+
"learning_rate": 1.7423920736022648e-05,
|
673 |
+
"loss": 0.0197,
|
674 |
+
"step": 1020
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 6.56,
|
678 |
+
"learning_rate": 1.738145789101203e-05,
|
679 |
+
"loss": 0.0187,
|
680 |
+
"step": 1030
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 6.62,
|
684 |
+
"learning_rate": 1.7334276952111347e-05,
|
685 |
+
"loss": 0.052,
|
686 |
+
"step": 1040
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 6.69,
|
690 |
+
"learning_rate": 1.7287096013210666e-05,
|
691 |
+
"loss": 0.0256,
|
692 |
+
"step": 1050
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 6.75,
|
696 |
+
"learning_rate": 1.7239915074309982e-05,
|
697 |
+
"loss": 0.0608,
|
698 |
+
"step": 1060
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 6.82,
|
702 |
+
"learning_rate": 1.7192734135409298e-05,
|
703 |
+
"loss": 0.0361,
|
704 |
+
"step": 1070
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 6.88,
|
708 |
+
"learning_rate": 1.714555319650861e-05,
|
709 |
+
"loss": 0.0633,
|
710 |
+
"step": 1080
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 6.94,
|
714 |
+
"learning_rate": 1.7098372257607926e-05,
|
715 |
+
"loss": 0.0199,
|
716 |
+
"step": 1090
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 7.0,
|
720 |
+
"eval_accuracy": 0.975,
|
721 |
+
"eval_loss": 0.1500987559556961,
|
722 |
+
"eval_runtime": 3.5476,
|
723 |
+
"eval_samples_per_second": 112.752,
|
724 |
+
"eval_steps_per_second": 14.094,
|
725 |
+
"step": 1099
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 7.01,
|
729 |
+
"learning_rate": 1.705119131870724e-05,
|
730 |
+
"loss": 0.0324,
|
731 |
+
"step": 1100
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 7.07,
|
735 |
+
"learning_rate": 1.700401037980656e-05,
|
736 |
+
"loss": 0.0678,
|
737 |
+
"step": 1110
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 7.13,
|
741 |
+
"learning_rate": 1.6956829440905876e-05,
|
742 |
+
"loss": 0.0372,
|
743 |
+
"step": 1120
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 7.2,
|
747 |
+
"learning_rate": 1.6909648502005192e-05,
|
748 |
+
"loss": 0.0232,
|
749 |
+
"step": 1130
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 7.26,
|
753 |
+
"learning_rate": 1.6862467563104508e-05,
|
754 |
+
"loss": 0.0244,
|
755 |
+
"step": 1140
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 7.32,
|
759 |
+
"learning_rate": 1.6815286624203824e-05,
|
760 |
+
"loss": 0.0155,
|
761 |
+
"step": 1150
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 7.39,
|
765 |
+
"learning_rate": 1.676810568530314e-05,
|
766 |
+
"loss": 0.0114,
|
767 |
+
"step": 1160
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 7.45,
|
771 |
+
"learning_rate": 1.6720924746402455e-05,
|
772 |
+
"loss": 0.0367,
|
773 |
+
"step": 1170
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 7.52,
|
777 |
+
"learning_rate": 1.667374380750177e-05,
|
778 |
+
"loss": 0.0128,
|
779 |
+
"step": 1180
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 7.58,
|
783 |
+
"learning_rate": 1.6626562868601087e-05,
|
784 |
+
"loss": 0.0181,
|
785 |
+
"step": 1190
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 7.64,
|
789 |
+
"learning_rate": 1.6579381929700402e-05,
|
790 |
+
"loss": 0.025,
|
791 |
+
"step": 1200
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 7.71,
|
795 |
+
"learning_rate": 1.6532200990799718e-05,
|
796 |
+
"loss": 0.0456,
|
797 |
+
"step": 1210
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 7.77,
|
801 |
+
"learning_rate": 1.6485020051899034e-05,
|
802 |
+
"loss": 0.0291,
|
803 |
+
"step": 1220
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 7.83,
|
807 |
+
"learning_rate": 1.643783911299835e-05,
|
808 |
+
"loss": 0.0157,
|
809 |
+
"step": 1230
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 7.9,
|
813 |
+
"learning_rate": 1.6390658174097665e-05,
|
814 |
+
"loss": 0.0204,
|
815 |
+
"step": 1240
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 7.96,
|
819 |
+
"learning_rate": 1.6343477235196984e-05,
|
820 |
+
"loss": 0.0201,
|
821 |
+
"step": 1250
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 8.0,
|
825 |
+
"eval_accuracy": 0.97,
|
826 |
+
"eval_loss": 0.10987219214439392,
|
827 |
+
"eval_runtime": 3.5493,
|
828 |
+
"eval_samples_per_second": 112.697,
|
829 |
+
"eval_steps_per_second": 14.087,
|
830 |
+
"step": 1256
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 8.03,
|
834 |
+
"learning_rate": 1.6296296296296297e-05,
|
835 |
+
"loss": 0.0246,
|
836 |
+
"step": 1260
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 8.09,
|
840 |
+
"learning_rate": 1.6249115357395612e-05,
|
841 |
+
"loss": 0.0304,
|
842 |
+
"step": 1270
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 8.15,
|
846 |
+
"learning_rate": 1.6201934418494928e-05,
|
847 |
+
"loss": 0.0304,
|
848 |
+
"step": 1280
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 8.22,
|
852 |
+
"learning_rate": 1.6154753479594244e-05,
|
853 |
+
"loss": 0.0083,
|
854 |
+
"step": 1290
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 8.28,
|
858 |
+
"learning_rate": 1.6107572540693563e-05,
|
859 |
+
"loss": 0.0244,
|
860 |
+
"step": 1300
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 8.34,
|
864 |
+
"learning_rate": 1.606039160179288e-05,
|
865 |
+
"loss": 0.0252,
|
866 |
+
"step": 1310
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 8.41,
|
870 |
+
"learning_rate": 1.6013210662892194e-05,
|
871 |
+
"loss": 0.0153,
|
872 |
+
"step": 1320
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 8.47,
|
876 |
+
"learning_rate": 1.596602972399151e-05,
|
877 |
+
"loss": 0.0219,
|
878 |
+
"step": 1330
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 8.54,
|
882 |
+
"learning_rate": 1.5918848785090822e-05,
|
883 |
+
"loss": 0.0198,
|
884 |
+
"step": 1340
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 8.6,
|
888 |
+
"learning_rate": 1.5871667846190138e-05,
|
889 |
+
"loss": 0.0144,
|
890 |
+
"step": 1350
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 8.66,
|
894 |
+
"learning_rate": 1.5824486907289457e-05,
|
895 |
+
"loss": 0.0165,
|
896 |
+
"step": 1360
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 8.73,
|
900 |
+
"learning_rate": 1.5777305968388773e-05,
|
901 |
+
"loss": 0.0113,
|
902 |
+
"step": 1370
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 8.79,
|
906 |
+
"learning_rate": 1.573012502948809e-05,
|
907 |
+
"loss": 0.0264,
|
908 |
+
"step": 1380
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 8.85,
|
912 |
+
"learning_rate": 1.5682944090587405e-05,
|
913 |
+
"loss": 0.0274,
|
914 |
+
"step": 1390
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 8.92,
|
918 |
+
"learning_rate": 1.563576315168672e-05,
|
919 |
+
"loss": 0.0079,
|
920 |
+
"step": 1400
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 8.98,
|
924 |
+
"learning_rate": 1.5588582212786036e-05,
|
925 |
+
"loss": 0.021,
|
926 |
+
"step": 1410
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 9.0,
|
930 |
+
"eval_accuracy": 0.9825,
|
931 |
+
"eval_loss": 0.13185830414295197,
|
932 |
+
"eval_runtime": 3.7445,
|
933 |
+
"eval_samples_per_second": 106.822,
|
934 |
+
"eval_steps_per_second": 13.353,
|
935 |
+
"step": 1413
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 9.04,
|
939 |
+
"learning_rate": 1.5541401273885352e-05,
|
940 |
+
"loss": 0.0206,
|
941 |
+
"step": 1420
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 9.11,
|
945 |
+
"learning_rate": 1.5494220334984667e-05,
|
946 |
+
"loss": 0.0157,
|
947 |
+
"step": 1430
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 9.17,
|
951 |
+
"learning_rate": 1.5447039396083983e-05,
|
952 |
+
"loss": 0.0071,
|
953 |
+
"step": 1440
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 9.24,
|
957 |
+
"learning_rate": 1.53998584571833e-05,
|
958 |
+
"loss": 0.0225,
|
959 |
+
"step": 1450
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 9.3,
|
963 |
+
"learning_rate": 1.5352677518282615e-05,
|
964 |
+
"loss": 0.0262,
|
965 |
+
"step": 1460
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 9.36,
|
969 |
+
"learning_rate": 1.530549657938193e-05,
|
970 |
+
"loss": 0.0172,
|
971 |
+
"step": 1470
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 9.43,
|
975 |
+
"learning_rate": 1.5258315640481248e-05,
|
976 |
+
"loss": 0.0071,
|
977 |
+
"step": 1480
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 9.49,
|
981 |
+
"learning_rate": 1.5211134701580564e-05,
|
982 |
+
"loss": 0.0069,
|
983 |
+
"step": 1490
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 9.55,
|
987 |
+
"learning_rate": 1.516395376267988e-05,
|
988 |
+
"loss": 0.0035,
|
989 |
+
"step": 1500
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 9.62,
|
993 |
+
"learning_rate": 1.5116772823779195e-05,
|
994 |
+
"loss": 0.0186,
|
995 |
+
"step": 1510
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 9.68,
|
999 |
+
"learning_rate": 1.5069591884878509e-05,
|
1000 |
+
"loss": 0.011,
|
1001 |
+
"step": 1520
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 9.75,
|
1005 |
+
"learning_rate": 1.5022410945977825e-05,
|
1006 |
+
"loss": 0.0165,
|
1007 |
+
"step": 1530
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 9.81,
|
1011 |
+
"learning_rate": 1.4975230007077142e-05,
|
1012 |
+
"loss": 0.0118,
|
1013 |
+
"step": 1540
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 9.87,
|
1017 |
+
"learning_rate": 1.4928049068176458e-05,
|
1018 |
+
"loss": 0.0395,
|
1019 |
+
"step": 1550
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 9.94,
|
1023 |
+
"learning_rate": 1.4880868129275774e-05,
|
1024 |
+
"loss": 0.009,
|
1025 |
+
"step": 1560
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 10.0,
|
1029 |
+
"learning_rate": 1.483368719037509e-05,
|
1030 |
+
"loss": 0.0139,
|
1031 |
+
"step": 1570
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 10.0,
|
1035 |
+
"eval_accuracy": 0.96,
|
1036 |
+
"eval_loss": 0.17666393518447876,
|
1037 |
+
"eval_runtime": 3.6723,
|
1038 |
+
"eval_samples_per_second": 108.923,
|
1039 |
+
"eval_steps_per_second": 13.615,
|
1040 |
+
"step": 1570
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 10.06,
|
1044 |
+
"learning_rate": 1.4786506251474407e-05,
|
1045 |
+
"loss": 0.0215,
|
1046 |
+
"step": 1580
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 10.13,
|
1050 |
+
"learning_rate": 1.4739325312573723e-05,
|
1051 |
+
"loss": 0.0047,
|
1052 |
+
"step": 1590
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 10.19,
|
1056 |
+
"learning_rate": 1.4692144373673037e-05,
|
1057 |
+
"loss": 0.0037,
|
1058 |
+
"step": 1600
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 10.25,
|
1062 |
+
"learning_rate": 1.4644963434772352e-05,
|
1063 |
+
"loss": 0.0107,
|
1064 |
+
"step": 1610
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 10.32,
|
1068 |
+
"learning_rate": 1.4597782495871668e-05,
|
1069 |
+
"loss": 0.0265,
|
1070 |
+
"step": 1620
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 10.38,
|
1074 |
+
"learning_rate": 1.4550601556970985e-05,
|
1075 |
+
"loss": 0.0178,
|
1076 |
+
"step": 1630
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 10.45,
|
1080 |
+
"learning_rate": 1.4503420618070301e-05,
|
1081 |
+
"loss": 0.021,
|
1082 |
+
"step": 1640
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 10.51,
|
1086 |
+
"learning_rate": 1.4456239679169617e-05,
|
1087 |
+
"loss": 0.0102,
|
1088 |
+
"step": 1650
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 10.57,
|
1092 |
+
"learning_rate": 1.4409058740268933e-05,
|
1093 |
+
"loss": 0.0347,
|
1094 |
+
"step": 1660
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 10.64,
|
1098 |
+
"learning_rate": 1.4361877801368248e-05,
|
1099 |
+
"loss": 0.0063,
|
1100 |
+
"step": 1670
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 10.7,
|
1104 |
+
"learning_rate": 1.4314696862467566e-05,
|
1105 |
+
"loss": 0.0042,
|
1106 |
+
"step": 1680
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 10.76,
|
1110 |
+
"learning_rate": 1.426751592356688e-05,
|
1111 |
+
"loss": 0.0137,
|
1112 |
+
"step": 1690
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 10.83,
|
1116 |
+
"learning_rate": 1.4220334984666196e-05,
|
1117 |
+
"loss": 0.008,
|
1118 |
+
"step": 1700
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 10.89,
|
1122 |
+
"learning_rate": 1.4173154045765511e-05,
|
1123 |
+
"loss": 0.0022,
|
1124 |
+
"step": 1710
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 10.96,
|
1128 |
+
"learning_rate": 1.4125973106864827e-05,
|
1129 |
+
"loss": 0.016,
|
1130 |
+
"step": 1720
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 11.0,
|
1134 |
+
"eval_accuracy": 0.9775,
|
1135 |
+
"eval_loss": 0.0946773886680603,
|
1136 |
+
"eval_runtime": 3.6096,
|
1137 |
+
"eval_samples_per_second": 110.817,
|
1138 |
+
"eval_steps_per_second": 13.852,
|
1139 |
+
"step": 1727
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 11.02,
|
1143 |
+
"learning_rate": 1.4078792167964144e-05,
|
1144 |
+
"loss": 0.0124,
|
1145 |
+
"step": 1730
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 11.08,
|
1149 |
+
"learning_rate": 1.403161122906346e-05,
|
1150 |
+
"loss": 0.0126,
|
1151 |
+
"step": 1740
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 11.15,
|
1155 |
+
"learning_rate": 1.3984430290162776e-05,
|
1156 |
+
"loss": 0.0016,
|
1157 |
+
"step": 1750
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 11.21,
|
1161 |
+
"learning_rate": 1.3937249351262092e-05,
|
1162 |
+
"loss": 0.0097,
|
1163 |
+
"step": 1760
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 11.27,
|
1167 |
+
"learning_rate": 1.3890068412361409e-05,
|
1168 |
+
"loss": 0.0161,
|
1169 |
+
"step": 1770
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 11.34,
|
1173 |
+
"learning_rate": 1.3842887473460721e-05,
|
1174 |
+
"loss": 0.0058,
|
1175 |
+
"step": 1780
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 11.4,
|
1179 |
+
"learning_rate": 1.3795706534560039e-05,
|
1180 |
+
"loss": 0.0102,
|
1181 |
+
"step": 1790
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 11.46,
|
1185 |
+
"learning_rate": 1.3748525595659355e-05,
|
1186 |
+
"loss": 0.0329,
|
1187 |
+
"step": 1800
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 11.53,
|
1191 |
+
"learning_rate": 1.370134465675867e-05,
|
1192 |
+
"loss": 0.0223,
|
1193 |
+
"step": 1810
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 11.59,
|
1197 |
+
"learning_rate": 1.3654163717857986e-05,
|
1198 |
+
"loss": 0.0077,
|
1199 |
+
"step": 1820
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 11.66,
|
1203 |
+
"learning_rate": 1.3606982778957303e-05,
|
1204 |
+
"loss": 0.0038,
|
1205 |
+
"step": 1830
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 11.72,
|
1209 |
+
"learning_rate": 1.3559801840056619e-05,
|
1210 |
+
"loss": 0.0031,
|
1211 |
+
"step": 1840
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 11.78,
|
1215 |
+
"learning_rate": 1.3512620901155935e-05,
|
1216 |
+
"loss": 0.0174,
|
1217 |
+
"step": 1850
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 11.85,
|
1221 |
+
"learning_rate": 1.3465439962255249e-05,
|
1222 |
+
"loss": 0.0022,
|
1223 |
+
"step": 1860
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 11.91,
|
1227 |
+
"learning_rate": 1.3418259023354565e-05,
|
1228 |
+
"loss": 0.0032,
|
1229 |
+
"step": 1870
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 11.97,
|
1233 |
+
"learning_rate": 1.3371078084453882e-05,
|
1234 |
+
"loss": 0.0077,
|
1235 |
+
"step": 1880
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 12.0,
|
1239 |
+
"eval_accuracy": 0.9625,
|
1240 |
+
"eval_loss": 0.1879103034734726,
|
1241 |
+
"eval_runtime": 3.6799,
|
1242 |
+
"eval_samples_per_second": 108.7,
|
1243 |
+
"eval_steps_per_second": 13.587,
|
1244 |
+
"step": 1884
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 12.04,
|
1248 |
+
"learning_rate": 1.3323897145553198e-05,
|
1249 |
+
"loss": 0.0413,
|
1250 |
+
"step": 1890
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 12.1,
|
1254 |
+
"learning_rate": 1.3276716206652514e-05,
|
1255 |
+
"loss": 0.021,
|
1256 |
+
"step": 1900
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 12.17,
|
1260 |
+
"learning_rate": 1.322953526775183e-05,
|
1261 |
+
"loss": 0.0053,
|
1262 |
+
"step": 1910
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 12.23,
|
1266 |
+
"learning_rate": 1.3182354328851145e-05,
|
1267 |
+
"loss": 0.0008,
|
1268 |
+
"step": 1920
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 12.29,
|
1272 |
+
"learning_rate": 1.3135173389950462e-05,
|
1273 |
+
"loss": 0.0109,
|
1274 |
+
"step": 1930
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 12.36,
|
1278 |
+
"learning_rate": 1.3087992451049778e-05,
|
1279 |
+
"loss": 0.0098,
|
1280 |
+
"step": 1940
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 12.42,
|
1284 |
+
"learning_rate": 1.3040811512149092e-05,
|
1285 |
+
"loss": 0.0269,
|
1286 |
+
"step": 1950
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 12.48,
|
1290 |
+
"learning_rate": 1.2993630573248408e-05,
|
1291 |
+
"loss": 0.0008,
|
1292 |
+
"step": 1960
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 12.55,
|
1296 |
+
"learning_rate": 1.2946449634347724e-05,
|
1297 |
+
"loss": 0.0291,
|
1298 |
+
"step": 1970
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 12.61,
|
1302 |
+
"learning_rate": 1.2899268695447041e-05,
|
1303 |
+
"loss": 0.0189,
|
1304 |
+
"step": 1980
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 12.68,
|
1308 |
+
"learning_rate": 1.2852087756546357e-05,
|
1309 |
+
"loss": 0.0264,
|
1310 |
+
"step": 1990
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 12.74,
|
1314 |
+
"learning_rate": 1.2804906817645673e-05,
|
1315 |
+
"loss": 0.0171,
|
1316 |
+
"step": 2000
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 12.8,
|
1320 |
+
"learning_rate": 1.2757725878744988e-05,
|
1321 |
+
"loss": 0.0099,
|
1322 |
+
"step": 2010
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 12.87,
|
1326 |
+
"learning_rate": 1.2710544939844304e-05,
|
1327 |
+
"loss": 0.0071,
|
1328 |
+
"step": 2020
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 12.93,
|
1332 |
+
"learning_rate": 1.2663364000943618e-05,
|
1333 |
+
"loss": 0.0034,
|
1334 |
+
"step": 2030
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 12.99,
|
1338 |
+
"learning_rate": 1.2616183062042935e-05,
|
1339 |
+
"loss": 0.0166,
|
1340 |
+
"step": 2040
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 13.0,
|
1344 |
+
"eval_accuracy": 0.9725,
|
1345 |
+
"eval_loss": 0.14901761710643768,
|
1346 |
+
"eval_runtime": 3.618,
|
1347 |
+
"eval_samples_per_second": 110.557,
|
1348 |
+
"eval_steps_per_second": 13.82,
|
1349 |
+
"step": 2041
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 13.06,
|
1353 |
+
"learning_rate": 1.2569002123142251e-05,
|
1354 |
+
"loss": 0.0092,
|
1355 |
+
"step": 2050
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 13.12,
|
1359 |
+
"learning_rate": 1.2521821184241567e-05,
|
1360 |
+
"loss": 0.0117,
|
1361 |
+
"step": 2060
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 13.18,
|
1365 |
+
"learning_rate": 1.2474640245340883e-05,
|
1366 |
+
"loss": 0.0096,
|
1367 |
+
"step": 2070
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 13.25,
|
1371 |
+
"learning_rate": 1.24274593064402e-05,
|
1372 |
+
"loss": 0.0256,
|
1373 |
+
"step": 2080
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 13.31,
|
1377 |
+
"learning_rate": 1.2380278367539516e-05,
|
1378 |
+
"loss": 0.0136,
|
1379 |
+
"step": 2090
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 13.38,
|
1383 |
+
"learning_rate": 1.2333097428638832e-05,
|
1384 |
+
"loss": 0.0032,
|
1385 |
+
"step": 2100
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 13.44,
|
1389 |
+
"learning_rate": 1.2285916489738147e-05,
|
1390 |
+
"loss": 0.0026,
|
1391 |
+
"step": 2110
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 13.5,
|
1395 |
+
"learning_rate": 1.2238735550837461e-05,
|
1396 |
+
"loss": 0.0085,
|
1397 |
+
"step": 2120
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 13.57,
|
1401 |
+
"learning_rate": 1.2191554611936777e-05,
|
1402 |
+
"loss": 0.0113,
|
1403 |
+
"step": 2130
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 13.63,
|
1407 |
+
"learning_rate": 1.2144373673036094e-05,
|
1408 |
+
"loss": 0.021,
|
1409 |
+
"step": 2140
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 13.69,
|
1413 |
+
"learning_rate": 1.209719273413541e-05,
|
1414 |
+
"loss": 0.0179,
|
1415 |
+
"step": 2150
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 13.76,
|
1419 |
+
"learning_rate": 1.2050011795234726e-05,
|
1420 |
+
"loss": 0.0063,
|
1421 |
+
"step": 2160
|
1422 |
+
},
|
1423 |
+
{
|
1424 |
+
"epoch": 13.82,
|
1425 |
+
"learning_rate": 1.2002830856334042e-05,
|
1426 |
+
"loss": 0.008,
|
1427 |
+
"step": 2170
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 13.89,
|
1431 |
+
"learning_rate": 1.1955649917433359e-05,
|
1432 |
+
"loss": 0.0044,
|
1433 |
+
"step": 2180
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 13.95,
|
1437 |
+
"learning_rate": 1.1908468978532675e-05,
|
1438 |
+
"loss": 0.0111,
|
1439 |
+
"step": 2190
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 14.0,
|
1443 |
+
"eval_accuracy": 0.9875,
|
1444 |
+
"eval_loss": 0.06426624208688736,
|
1445 |
+
"eval_runtime": 3.8488,
|
1446 |
+
"eval_samples_per_second": 103.927,
|
1447 |
+
"eval_steps_per_second": 12.991,
|
1448 |
+
"step": 2198
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 14.01,
|
1452 |
+
"learning_rate": 1.186128803963199e-05,
|
1453 |
+
"loss": 0.0221,
|
1454 |
+
"step": 2200
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 14.08,
|
1458 |
+
"learning_rate": 1.1814107100731305e-05,
|
1459 |
+
"loss": 0.0035,
|
1460 |
+
"step": 2210
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 14.14,
|
1464 |
+
"learning_rate": 1.176692616183062e-05,
|
1465 |
+
"loss": 0.0171,
|
1466 |
+
"step": 2220
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 14.2,
|
1470 |
+
"learning_rate": 1.1719745222929938e-05,
|
1471 |
+
"loss": 0.0139,
|
1472 |
+
"step": 2230
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 14.27,
|
1476 |
+
"learning_rate": 1.1672564284029253e-05,
|
1477 |
+
"loss": 0.0025,
|
1478 |
+
"step": 2240
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 14.33,
|
1482 |
+
"learning_rate": 1.162538334512857e-05,
|
1483 |
+
"loss": 0.0046,
|
1484 |
+
"step": 2250
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 14.39,
|
1488 |
+
"learning_rate": 1.1578202406227885e-05,
|
1489 |
+
"loss": 0.0151,
|
1490 |
+
"step": 2260
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 14.46,
|
1494 |
+
"learning_rate": 1.15310214673272e-05,
|
1495 |
+
"loss": 0.0092,
|
1496 |
+
"step": 2270
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 14.52,
|
1500 |
+
"learning_rate": 1.1483840528426518e-05,
|
1501 |
+
"loss": 0.0037,
|
1502 |
+
"step": 2280
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 14.59,
|
1506 |
+
"learning_rate": 1.1436659589525832e-05,
|
1507 |
+
"loss": 0.0014,
|
1508 |
+
"step": 2290
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 14.65,
|
1512 |
+
"learning_rate": 1.1389478650625148e-05,
|
1513 |
+
"loss": 0.0103,
|
1514 |
+
"step": 2300
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 14.71,
|
1518 |
+
"learning_rate": 1.1342297711724464e-05,
|
1519 |
+
"loss": 0.021,
|
1520 |
+
"step": 2310
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 14.78,
|
1524 |
+
"learning_rate": 1.129511677282378e-05,
|
1525 |
+
"loss": 0.0016,
|
1526 |
+
"step": 2320
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 14.84,
|
1530 |
+
"learning_rate": 1.1247935833923097e-05,
|
1531 |
+
"loss": 0.0085,
|
1532 |
+
"step": 2330
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 14.9,
|
1536 |
+
"learning_rate": 1.1200754895022412e-05,
|
1537 |
+
"loss": 0.0024,
|
1538 |
+
"step": 2340
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 14.97,
|
1542 |
+
"learning_rate": 1.1153573956121728e-05,
|
1543 |
+
"loss": 0.0029,
|
1544 |
+
"step": 2350
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 15.0,
|
1548 |
+
"eval_accuracy": 0.9375,
|
1549 |
+
"eval_loss": 0.29853329062461853,
|
1550 |
+
"eval_runtime": 3.6432,
|
1551 |
+
"eval_samples_per_second": 109.794,
|
1552 |
+
"eval_steps_per_second": 13.724,
|
1553 |
+
"step": 2355
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 15.03,
|
1557 |
+
"learning_rate": 1.1106393017221044e-05,
|
1558 |
+
"loss": 0.0115,
|
1559 |
+
"step": 2360
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 15.1,
|
1563 |
+
"learning_rate": 1.1059212078320361e-05,
|
1564 |
+
"loss": 0.0094,
|
1565 |
+
"step": 2370
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 15.16,
|
1569 |
+
"learning_rate": 1.1012031139419674e-05,
|
1570 |
+
"loss": 0.0122,
|
1571 |
+
"step": 2380
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 15.22,
|
1575 |
+
"learning_rate": 1.0964850200518991e-05,
|
1576 |
+
"loss": 0.0176,
|
1577 |
+
"step": 2390
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 15.29,
|
1581 |
+
"learning_rate": 1.0917669261618307e-05,
|
1582 |
+
"loss": 0.0044,
|
1583 |
+
"step": 2400
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 15.35,
|
1587 |
+
"learning_rate": 1.0870488322717623e-05,
|
1588 |
+
"loss": 0.0003,
|
1589 |
+
"step": 2410
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 15.41,
|
1593 |
+
"learning_rate": 1.0823307383816938e-05,
|
1594 |
+
"loss": 0.0076,
|
1595 |
+
"step": 2420
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 15.48,
|
1599 |
+
"learning_rate": 1.0776126444916256e-05,
|
1600 |
+
"loss": 0.0035,
|
1601 |
+
"step": 2430
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 15.54,
|
1605 |
+
"learning_rate": 1.0728945506015571e-05,
|
1606 |
+
"loss": 0.0007,
|
1607 |
+
"step": 2440
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 15.61,
|
1611 |
+
"learning_rate": 1.0681764567114887e-05,
|
1612 |
+
"loss": 0.0044,
|
1613 |
+
"step": 2450
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 15.67,
|
1617 |
+
"learning_rate": 1.0634583628214203e-05,
|
1618 |
+
"loss": 0.0063,
|
1619 |
+
"step": 2460
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 15.73,
|
1623 |
+
"learning_rate": 1.0587402689313517e-05,
|
1624 |
+
"loss": 0.0098,
|
1625 |
+
"step": 2470
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 15.8,
|
1629 |
+
"learning_rate": 1.0540221750412833e-05,
|
1630 |
+
"loss": 0.0077,
|
1631 |
+
"step": 2480
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 15.86,
|
1635 |
+
"learning_rate": 1.049304081151215e-05,
|
1636 |
+
"loss": 0.0178,
|
1637 |
+
"step": 2490
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 15.92,
|
1641 |
+
"learning_rate": 1.0445859872611466e-05,
|
1642 |
+
"loss": 0.0117,
|
1643 |
+
"step": 2500
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 15.99,
|
1647 |
+
"learning_rate": 1.0398678933710782e-05,
|
1648 |
+
"loss": 0.0015,
|
1649 |
+
"step": 2510
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 16.0,
|
1653 |
+
"eval_accuracy": 0.98,
|
1654 |
+
"eval_loss": 0.10450205951929092,
|
1655 |
+
"eval_runtime": 3.6982,
|
1656 |
+
"eval_samples_per_second": 108.161,
|
1657 |
+
"eval_steps_per_second": 13.52,
|
1658 |
+
"step": 2512
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 16.05,
|
1662 |
+
"learning_rate": 1.0351497994810097e-05,
|
1663 |
+
"loss": 0.0007,
|
1664 |
+
"step": 2520
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 16.11,
|
1668 |
+
"learning_rate": 1.0304317055909415e-05,
|
1669 |
+
"loss": 0.0203,
|
1670 |
+
"step": 2530
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 16.18,
|
1674 |
+
"learning_rate": 1.025713611700873e-05,
|
1675 |
+
"loss": 0.0022,
|
1676 |
+
"step": 2540
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 16.24,
|
1680 |
+
"learning_rate": 1.0209955178108044e-05,
|
1681 |
+
"loss": 0.0118,
|
1682 |
+
"step": 2550
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 16.31,
|
1686 |
+
"learning_rate": 1.016277423920736e-05,
|
1687 |
+
"loss": 0.0005,
|
1688 |
+
"step": 2560
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 16.37,
|
1692 |
+
"learning_rate": 1.0115593300306676e-05,
|
1693 |
+
"loss": 0.0009,
|
1694 |
+
"step": 2570
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 16.43,
|
1698 |
+
"learning_rate": 1.0068412361405993e-05,
|
1699 |
+
"loss": 0.0086,
|
1700 |
+
"step": 2580
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 16.5,
|
1704 |
+
"learning_rate": 1.0021231422505309e-05,
|
1705 |
+
"loss": 0.0038,
|
1706 |
+
"step": 2590
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 16.56,
|
1710 |
+
"learning_rate": 9.974050483604625e-06,
|
1711 |
+
"loss": 0.011,
|
1712 |
+
"step": 2600
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 16.62,
|
1716 |
+
"learning_rate": 9.92686954470394e-06,
|
1717 |
+
"loss": 0.0166,
|
1718 |
+
"step": 2610
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 16.69,
|
1722 |
+
"learning_rate": 9.879688605803256e-06,
|
1723 |
+
"loss": 0.0008,
|
1724 |
+
"step": 2620
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 16.75,
|
1728 |
+
"learning_rate": 9.832507666902572e-06,
|
1729 |
+
"loss": 0.0085,
|
1730 |
+
"step": 2630
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 16.82,
|
1734 |
+
"learning_rate": 9.785326728001888e-06,
|
1735 |
+
"loss": 0.0005,
|
1736 |
+
"step": 2640
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 16.88,
|
1740 |
+
"learning_rate": 9.738145789101205e-06,
|
1741 |
+
"loss": 0.0062,
|
1742 |
+
"step": 2650
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 16.94,
|
1746 |
+
"learning_rate": 9.69096485020052e-06,
|
1747 |
+
"loss": 0.0045,
|
1748 |
+
"step": 2660
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 17.0,
|
1752 |
+
"eval_accuracy": 0.9825,
|
1753 |
+
"eval_loss": 0.0958116427063942,
|
1754 |
+
"eval_runtime": 3.613,
|
1755 |
+
"eval_samples_per_second": 110.713,
|
1756 |
+
"eval_steps_per_second": 13.839,
|
1757 |
+
"step": 2669
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 17.01,
|
1761 |
+
"learning_rate": 9.643783911299835e-06,
|
1762 |
+
"loss": 0.0003,
|
1763 |
+
"step": 2670
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 17.07,
|
1767 |
+
"learning_rate": 9.596602972399152e-06,
|
1768 |
+
"loss": 0.0068,
|
1769 |
+
"step": 2680
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 17.13,
|
1773 |
+
"learning_rate": 9.549422033498468e-06,
|
1774 |
+
"loss": 0.0087,
|
1775 |
+
"step": 2690
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 17.2,
|
1779 |
+
"learning_rate": 9.502241094597782e-06,
|
1780 |
+
"loss": 0.009,
|
1781 |
+
"step": 2700
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 17.26,
|
1785 |
+
"learning_rate": 9.4550601556971e-06,
|
1786 |
+
"loss": 0.0052,
|
1787 |
+
"step": 2710
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 17.32,
|
1791 |
+
"learning_rate": 9.407879216796415e-06,
|
1792 |
+
"loss": 0.0004,
|
1793 |
+
"step": 2720
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 17.39,
|
1797 |
+
"learning_rate": 9.360698277895731e-06,
|
1798 |
+
"loss": 0.0075,
|
1799 |
+
"step": 2730
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 17.45,
|
1803 |
+
"learning_rate": 9.313517338995047e-06,
|
1804 |
+
"loss": 0.0072,
|
1805 |
+
"step": 2740
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 17.52,
|
1809 |
+
"learning_rate": 9.266336400094362e-06,
|
1810 |
+
"loss": 0.011,
|
1811 |
+
"step": 2750
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 17.58,
|
1815 |
+
"learning_rate": 9.219155461193678e-06,
|
1816 |
+
"loss": 0.0075,
|
1817 |
+
"step": 2760
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 17.64,
|
1821 |
+
"learning_rate": 9.171974522292994e-06,
|
1822 |
+
"loss": 0.0078,
|
1823 |
+
"step": 2770
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 17.71,
|
1827 |
+
"learning_rate": 9.124793583392311e-06,
|
1828 |
+
"loss": 0.0041,
|
1829 |
+
"step": 2780
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 17.77,
|
1833 |
+
"learning_rate": 9.077612644491625e-06,
|
1834 |
+
"loss": 0.0071,
|
1835 |
+
"step": 2790
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 17.83,
|
1839 |
+
"learning_rate": 9.030431705590941e-06,
|
1840 |
+
"loss": 0.0012,
|
1841 |
+
"step": 2800
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 17.9,
|
1845 |
+
"learning_rate": 8.983250766690259e-06,
|
1846 |
+
"loss": 0.0016,
|
1847 |
+
"step": 2810
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 17.96,
|
1851 |
+
"learning_rate": 8.936069827789574e-06,
|
1852 |
+
"loss": 0.0038,
|
1853 |
+
"step": 2820
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 18.0,
|
1857 |
+
"eval_accuracy": 0.975,
|
1858 |
+
"eval_loss": 0.08133537322282791,
|
1859 |
+
"eval_runtime": 3.6605,
|
1860 |
+
"eval_samples_per_second": 109.274,
|
1861 |
+
"eval_steps_per_second": 13.659,
|
1862 |
+
"step": 2826
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 18.03,
|
1866 |
+
"learning_rate": 8.888888888888888e-06,
|
1867 |
+
"loss": 0.0001,
|
1868 |
+
"step": 2830
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 18.09,
|
1872 |
+
"learning_rate": 8.841707949988206e-06,
|
1873 |
+
"loss": 0.0005,
|
1874 |
+
"step": 2840
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 18.15,
|
1878 |
+
"learning_rate": 8.794527011087521e-06,
|
1879 |
+
"loss": 0.0058,
|
1880 |
+
"step": 2850
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 18.22,
|
1884 |
+
"learning_rate": 8.747346072186837e-06,
|
1885 |
+
"loss": 0.0003,
|
1886 |
+
"step": 2860
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 18.28,
|
1890 |
+
"learning_rate": 8.700165133286153e-06,
|
1891 |
+
"loss": 0.006,
|
1892 |
+
"step": 2870
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 18.34,
|
1896 |
+
"learning_rate": 8.652984194385469e-06,
|
1897 |
+
"loss": 0.005,
|
1898 |
+
"step": 2880
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 18.41,
|
1902 |
+
"learning_rate": 8.605803255484784e-06,
|
1903 |
+
"loss": 0.0123,
|
1904 |
+
"step": 2890
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 18.47,
|
1908 |
+
"learning_rate": 8.5586223165841e-06,
|
1909 |
+
"loss": 0.008,
|
1910 |
+
"step": 2900
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 18.54,
|
1914 |
+
"learning_rate": 8.511441377683418e-06,
|
1915 |
+
"loss": 0.0133,
|
1916 |
+
"step": 2910
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 18.6,
|
1920 |
+
"learning_rate": 8.464260438782732e-06,
|
1921 |
+
"loss": 0.0078,
|
1922 |
+
"step": 2920
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 18.66,
|
1926 |
+
"learning_rate": 8.417079499882049e-06,
|
1927 |
+
"loss": 0.0139,
|
1928 |
+
"step": 2930
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 18.73,
|
1932 |
+
"learning_rate": 8.369898560981365e-06,
|
1933 |
+
"loss": 0.0015,
|
1934 |
+
"step": 2940
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 18.79,
|
1938 |
+
"learning_rate": 8.32271762208068e-06,
|
1939 |
+
"loss": 0.0171,
|
1940 |
+
"step": 2950
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 18.85,
|
1944 |
+
"learning_rate": 8.275536683179996e-06,
|
1945 |
+
"loss": 0.0091,
|
1946 |
+
"step": 2960
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 18.92,
|
1950 |
+
"learning_rate": 8.228355744279312e-06,
|
1951 |
+
"loss": 0.0003,
|
1952 |
+
"step": 2970
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 18.98,
|
1956 |
+
"learning_rate": 8.181174805378628e-06,
|
1957 |
+
"loss": 0.0412,
|
1958 |
+
"step": 2980
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 19.0,
|
1962 |
+
"eval_accuracy": 0.9725,
|
1963 |
+
"eval_loss": 0.14458990097045898,
|
1964 |
+
"eval_runtime": 3.8861,
|
1965 |
+
"eval_samples_per_second": 102.93,
|
1966 |
+
"eval_steps_per_second": 12.866,
|
1967 |
+
"step": 2983
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 19.04,
|
1971 |
+
"learning_rate": 8.133993866477943e-06,
|
1972 |
+
"loss": 0.0091,
|
1973 |
+
"step": 2990
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 19.11,
|
1977 |
+
"learning_rate": 8.08681292757726e-06,
|
1978 |
+
"loss": 0.001,
|
1979 |
+
"step": 3000
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 19.17,
|
1983 |
+
"learning_rate": 8.039631988676575e-06,
|
1984 |
+
"loss": 0.0003,
|
1985 |
+
"step": 3010
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 19.24,
|
1989 |
+
"learning_rate": 7.99245104977589e-06,
|
1990 |
+
"loss": 0.0061,
|
1991 |
+
"step": 3020
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 19.3,
|
1995 |
+
"learning_rate": 7.945270110875208e-06,
|
1996 |
+
"loss": 0.0085,
|
1997 |
+
"step": 3030
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 19.36,
|
2001 |
+
"learning_rate": 7.898089171974524e-06,
|
2002 |
+
"loss": 0.0011,
|
2003 |
+
"step": 3040
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 19.43,
|
2007 |
+
"learning_rate": 7.850908233073838e-06,
|
2008 |
+
"loss": 0.0021,
|
2009 |
+
"step": 3050
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 19.49,
|
2013 |
+
"learning_rate": 7.803727294173155e-06,
|
2014 |
+
"loss": 0.0001,
|
2015 |
+
"step": 3060
|
2016 |
+
},
|
2017 |
+
{
|
2018 |
+
"epoch": 19.55,
|
2019 |
+
"learning_rate": 7.756546355272471e-06,
|
2020 |
+
"loss": 0.0002,
|
2021 |
+
"step": 3070
|
2022 |
+
},
|
2023 |
+
{
|
2024 |
+
"epoch": 19.62,
|
2025 |
+
"learning_rate": 7.709365416371787e-06,
|
2026 |
+
"loss": 0.015,
|
2027 |
+
"step": 3080
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 19.68,
|
2031 |
+
"learning_rate": 7.662184477471102e-06,
|
2032 |
+
"loss": 0.0008,
|
2033 |
+
"step": 3090
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 19.75,
|
2037 |
+
"learning_rate": 7.615003538570418e-06,
|
2038 |
+
"loss": 0.005,
|
2039 |
+
"step": 3100
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 19.81,
|
2043 |
+
"learning_rate": 7.567822599669734e-06,
|
2044 |
+
"loss": 0.0022,
|
2045 |
+
"step": 3110
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 19.87,
|
2049 |
+
"learning_rate": 7.52064166076905e-06,
|
2050 |
+
"loss": 0.001,
|
2051 |
+
"step": 3120
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 19.94,
|
2055 |
+
"learning_rate": 7.473460721868365e-06,
|
2056 |
+
"loss": 0.0178,
|
2057 |
+
"step": 3130
|
2058 |
+
},
|
2059 |
+
{
|
2060 |
+
"epoch": 20.0,
|
2061 |
+
"learning_rate": 7.426279782967681e-06,
|
2062 |
+
"loss": 0.0003,
|
2063 |
+
"step": 3140
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 20.0,
|
2067 |
+
"eval_accuracy": 0.965,
|
2068 |
+
"eval_loss": 0.16244125366210938,
|
2069 |
+
"eval_runtime": 4.1384,
|
2070 |
+
"eval_samples_per_second": 96.656,
|
2071 |
+
"eval_steps_per_second": 12.082,
|
2072 |
+
"step": 3140
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 20.06,
|
2076 |
+
"learning_rate": 7.379098844066998e-06,
|
2077 |
+
"loss": 0.0078,
|
2078 |
+
"step": 3150
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 20.13,
|
2082 |
+
"learning_rate": 7.331917905166313e-06,
|
2083 |
+
"loss": 0.0003,
|
2084 |
+
"step": 3160
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 20.19,
|
2088 |
+
"learning_rate": 7.28473696626563e-06,
|
2089 |
+
"loss": 0.0019,
|
2090 |
+
"step": 3170
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 20.25,
|
2094 |
+
"learning_rate": 7.237556027364945e-06,
|
2095 |
+
"loss": 0.001,
|
2096 |
+
"step": 3180
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 20.32,
|
2100 |
+
"learning_rate": 7.1903750884642605e-06,
|
2101 |
+
"loss": 0.0072,
|
2102 |
+
"step": 3190
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 20.38,
|
2106 |
+
"learning_rate": 7.143194149563577e-06,
|
2107 |
+
"loss": 0.0077,
|
2108 |
+
"step": 3200
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 20.45,
|
2112 |
+
"learning_rate": 7.096013210662893e-06,
|
2113 |
+
"loss": 0.0013,
|
2114 |
+
"step": 3210
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 20.51,
|
2118 |
+
"learning_rate": 7.0488322717622086e-06,
|
2119 |
+
"loss": 0.0002,
|
2120 |
+
"step": 3220
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 20.57,
|
2124 |
+
"learning_rate": 7.001651332861524e-06,
|
2125 |
+
"loss": 0.0,
|
2126 |
+
"step": 3230
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 20.64,
|
2130 |
+
"learning_rate": 6.954470393960841e-06,
|
2131 |
+
"loss": 0.0115,
|
2132 |
+
"step": 3240
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 20.7,
|
2136 |
+
"learning_rate": 6.907289455060157e-06,
|
2137 |
+
"loss": 0.0014,
|
2138 |
+
"step": 3250
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 20.76,
|
2142 |
+
"learning_rate": 6.8601085161594715e-06,
|
2143 |
+
"loss": 0.0066,
|
2144 |
+
"step": 3260
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 20.83,
|
2148 |
+
"learning_rate": 6.812927577258788e-06,
|
2149 |
+
"loss": 0.0049,
|
2150 |
+
"step": 3270
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 20.89,
|
2154 |
+
"learning_rate": 6.765746638358104e-06,
|
2155 |
+
"loss": 0.0004,
|
2156 |
+
"step": 3280
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 20.96,
|
2160 |
+
"learning_rate": 6.71856569945742e-06,
|
2161 |
+
"loss": 0.0007,
|
2162 |
+
"step": 3290
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 21.0,
|
2166 |
+
"eval_accuracy": 0.99,
|
2167 |
+
"eval_loss": 0.06704743206501007,
|
2168 |
+
"eval_runtime": 3.8513,
|
2169 |
+
"eval_samples_per_second": 103.86,
|
2170 |
+
"eval_steps_per_second": 12.983,
|
2171 |
+
"step": 3297
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 21.02,
|
2175 |
+
"learning_rate": 6.671384760556736e-06,
|
2176 |
+
"loss": 0.0001,
|
2177 |
+
"step": 3300
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 21.08,
|
2181 |
+
"learning_rate": 6.624203821656051e-06,
|
2182 |
+
"loss": 0.0006,
|
2183 |
+
"step": 3310
|
2184 |
+
},
|
2185 |
+
{
|
2186 |
+
"epoch": 21.15,
|
2187 |
+
"learning_rate": 6.5770228827553676e-06,
|
2188 |
+
"loss": 0.0003,
|
2189 |
+
"step": 3320
|
2190 |
+
},
|
2191 |
+
{
|
2192 |
+
"epoch": 21.21,
|
2193 |
+
"learning_rate": 6.529841943854683e-06,
|
2194 |
+
"loss": 0.0001,
|
2195 |
+
"step": 3330
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 21.27,
|
2199 |
+
"learning_rate": 6.482661004954e-06,
|
2200 |
+
"loss": 0.0113,
|
2201 |
+
"step": 3340
|
2202 |
+
},
|
2203 |
+
{
|
2204 |
+
"epoch": 21.34,
|
2205 |
+
"learning_rate": 6.435480066053315e-06,
|
2206 |
+
"loss": 0.0006,
|
2207 |
+
"step": 3350
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 21.4,
|
2211 |
+
"learning_rate": 6.3882991271526305e-06,
|
2212 |
+
"loss": 0.0071,
|
2213 |
+
"step": 3360
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 21.46,
|
2217 |
+
"learning_rate": 6.341118188251947e-06,
|
2218 |
+
"loss": 0.002,
|
2219 |
+
"step": 3370
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 21.53,
|
2223 |
+
"learning_rate": 6.293937249351263e-06,
|
2224 |
+
"loss": 0.0017,
|
2225 |
+
"step": 3380
|
2226 |
+
},
|
2227 |
+
{
|
2228 |
+
"epoch": 21.59,
|
2229 |
+
"learning_rate": 6.246756310450578e-06,
|
2230 |
+
"loss": 0.0045,
|
2231 |
+
"step": 3390
|
2232 |
+
},
|
2233 |
+
{
|
2234 |
+
"epoch": 21.66,
|
2235 |
+
"learning_rate": 6.199575371549894e-06,
|
2236 |
+
"loss": 0.0002,
|
2237 |
+
"step": 3400
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 21.72,
|
2241 |
+
"learning_rate": 6.15239443264921e-06,
|
2242 |
+
"loss": 0.002,
|
2243 |
+
"step": 3410
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 21.78,
|
2247 |
+
"learning_rate": 6.1052134937485265e-06,
|
2248 |
+
"loss": 0.0058,
|
2249 |
+
"step": 3420
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 21.85,
|
2253 |
+
"learning_rate": 6.058032554847842e-06,
|
2254 |
+
"loss": 0.0199,
|
2255 |
+
"step": 3430
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 21.91,
|
2259 |
+
"learning_rate": 6.010851615947157e-06,
|
2260 |
+
"loss": 0.0084,
|
2261 |
+
"step": 3440
|
2262 |
+
},
|
2263 |
+
{
|
2264 |
+
"epoch": 21.97,
|
2265 |
+
"learning_rate": 5.963670677046474e-06,
|
2266 |
+
"loss": 0.0001,
|
2267 |
+
"step": 3450
|
2268 |
+
},
|
2269 |
+
{
|
2270 |
+
"epoch": 22.0,
|
2271 |
+
"eval_accuracy": 0.985,
|
2272 |
+
"eval_loss": 0.08064628392457962,
|
2273 |
+
"eval_runtime": 3.6485,
|
2274 |
+
"eval_samples_per_second": 109.633,
|
2275 |
+
"eval_steps_per_second": 13.704,
|
2276 |
+
"step": 3454
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 22.04,
|
2280 |
+
"learning_rate": 5.9164897381457895e-06,
|
2281 |
+
"loss": 0.0005,
|
2282 |
+
"step": 3460
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 22.1,
|
2286 |
+
"learning_rate": 5.869308799245106e-06,
|
2287 |
+
"loss": 0.0005,
|
2288 |
+
"step": 3470
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 22.17,
|
2292 |
+
"learning_rate": 5.822127860344421e-06,
|
2293 |
+
"loss": 0.0,
|
2294 |
+
"step": 3480
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 22.23,
|
2298 |
+
"learning_rate": 5.774946921443737e-06,
|
2299 |
+
"loss": 0.0,
|
2300 |
+
"step": 3490
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 22.29,
|
2304 |
+
"learning_rate": 5.727765982543053e-06,
|
2305 |
+
"loss": 0.0001,
|
2306 |
+
"step": 3500
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 22.36,
|
2310 |
+
"learning_rate": 5.680585043642369e-06,
|
2311 |
+
"loss": 0.0002,
|
2312 |
+
"step": 3510
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 22.42,
|
2316 |
+
"learning_rate": 5.633404104741685e-06,
|
2317 |
+
"loss": 0.0073,
|
2318 |
+
"step": 3520
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 22.48,
|
2322 |
+
"learning_rate": 5.5862231658410004e-06,
|
2323 |
+
"loss": 0.0021,
|
2324 |
+
"step": 3530
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 22.55,
|
2328 |
+
"learning_rate": 5.539042226940316e-06,
|
2329 |
+
"loss": 0.0,
|
2330 |
+
"step": 3540
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"epoch": 22.61,
|
2334 |
+
"learning_rate": 5.491861288039633e-06,
|
2335 |
+
"loss": 0.0028,
|
2336 |
+
"step": 3550
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 22.68,
|
2340 |
+
"learning_rate": 5.4446803491389485e-06,
|
2341 |
+
"loss": 0.0024,
|
2342 |
+
"step": 3560
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 22.74,
|
2346 |
+
"learning_rate": 5.397499410238264e-06,
|
2347 |
+
"loss": 0.0035,
|
2348 |
+
"step": 3570
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 22.8,
|
2352 |
+
"learning_rate": 5.35031847133758e-06,
|
2353 |
+
"loss": 0.0002,
|
2354 |
+
"step": 3580
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 22.87,
|
2358 |
+
"learning_rate": 5.3031375324368965e-06,
|
2359 |
+
"loss": 0.0,
|
2360 |
+
"step": 3590
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 22.93,
|
2364 |
+
"learning_rate": 5.255956593536212e-06,
|
2365 |
+
"loss": 0.0015,
|
2366 |
+
"step": 3600
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 22.99,
|
2370 |
+
"learning_rate": 5.208775654635527e-06,
|
2371 |
+
"loss": 0.0001,
|
2372 |
+
"step": 3610
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 23.0,
|
2376 |
+
"eval_accuracy": 0.9825,
|
2377 |
+
"eval_loss": 0.09302221238613129,
|
2378 |
+
"eval_runtime": 4.8817,
|
2379 |
+
"eval_samples_per_second": 81.939,
|
2380 |
+
"eval_steps_per_second": 10.242,
|
2381 |
+
"step": 3611
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 23.06,
|
2385 |
+
"learning_rate": 5.161594715734844e-06,
|
2386 |
+
"loss": 0.0015,
|
2387 |
+
"step": 3620
|
2388 |
+
},
|
2389 |
+
{
|
2390 |
+
"epoch": 23.12,
|
2391 |
+
"learning_rate": 5.1144137768341594e-06,
|
2392 |
+
"loss": 0.0003,
|
2393 |
+
"step": 3630
|
2394 |
+
},
|
2395 |
+
{
|
2396 |
+
"epoch": 23.18,
|
2397 |
+
"learning_rate": 5.067232837933476e-06,
|
2398 |
+
"loss": 0.0001,
|
2399 |
+
"step": 3640
|
2400 |
+
},
|
2401 |
+
{
|
2402 |
+
"epoch": 23.25,
|
2403 |
+
"learning_rate": 5.020051899032791e-06,
|
2404 |
+
"loss": 0.0001,
|
2405 |
+
"step": 3650
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"epoch": 23.31,
|
2409 |
+
"learning_rate": 4.972870960132107e-06,
|
2410 |
+
"loss": 0.0001,
|
2411 |
+
"step": 3660
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 23.38,
|
2415 |
+
"learning_rate": 4.925690021231423e-06,
|
2416 |
+
"loss": 0.0001,
|
2417 |
+
"step": 3670
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 23.44,
|
2421 |
+
"learning_rate": 4.878509082330739e-06,
|
2422 |
+
"loss": 0.0,
|
2423 |
+
"step": 3680
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 23.5,
|
2427 |
+
"learning_rate": 4.831328143430055e-06,
|
2428 |
+
"loss": 0.0107,
|
2429 |
+
"step": 3690
|
2430 |
+
},
|
2431 |
+
{
|
2432 |
+
"epoch": 23.57,
|
2433 |
+
"learning_rate": 4.78414720452937e-06,
|
2434 |
+
"loss": 0.0001,
|
2435 |
+
"step": 3700
|
2436 |
+
},
|
2437 |
+
{
|
2438 |
+
"epoch": 23.63,
|
2439 |
+
"learning_rate": 4.736966265628686e-06,
|
2440 |
+
"loss": 0.0021,
|
2441 |
+
"step": 3710
|
2442 |
+
},
|
2443 |
+
{
|
2444 |
+
"epoch": 23.69,
|
2445 |
+
"learning_rate": 4.689785326728003e-06,
|
2446 |
+
"loss": 0.0021,
|
2447 |
+
"step": 3720
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 23.76,
|
2451 |
+
"learning_rate": 4.642604387827318e-06,
|
2452 |
+
"loss": 0.0001,
|
2453 |
+
"step": 3730
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 23.82,
|
2457 |
+
"learning_rate": 4.595423448926634e-06,
|
2458 |
+
"loss": 0.0074,
|
2459 |
+
"step": 3740
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 23.89,
|
2463 |
+
"learning_rate": 4.54824251002595e-06,
|
2464 |
+
"loss": 0.0003,
|
2465 |
+
"step": 3750
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 23.95,
|
2469 |
+
"learning_rate": 4.501061571125266e-06,
|
2470 |
+
"loss": 0.0037,
|
2471 |
+
"step": 3760
|
2472 |
+
},
|
2473 |
+
{
|
2474 |
+
"epoch": 24.0,
|
2475 |
+
"eval_accuracy": 0.9725,
|
2476 |
+
"eval_loss": 0.1421746164560318,
|
2477 |
+
"eval_runtime": 3.6108,
|
2478 |
+
"eval_samples_per_second": 110.78,
|
2479 |
+
"eval_steps_per_second": 13.847,
|
2480 |
+
"step": 3768
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 24.01,
|
2484 |
+
"learning_rate": 4.453880632224581e-06,
|
2485 |
+
"loss": 0.0,
|
2486 |
+
"step": 3770
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 24.08,
|
2490 |
+
"learning_rate": 4.406699693323898e-06,
|
2491 |
+
"loss": 0.0002,
|
2492 |
+
"step": 3780
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 24.14,
|
2496 |
+
"learning_rate": 4.359518754423213e-06,
|
2497 |
+
"loss": 0.0055,
|
2498 |
+
"step": 3790
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 24.2,
|
2502 |
+
"learning_rate": 4.312337815522529e-06,
|
2503 |
+
"loss": 0.0037,
|
2504 |
+
"step": 3800
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 24.27,
|
2508 |
+
"learning_rate": 4.265156876621845e-06,
|
2509 |
+
"loss": 0.0001,
|
2510 |
+
"step": 3810
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 24.33,
|
2514 |
+
"learning_rate": 4.217975937721161e-06,
|
2515 |
+
"loss": 0.0006,
|
2516 |
+
"step": 3820
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 24.39,
|
2520 |
+
"learning_rate": 4.170794998820477e-06,
|
2521 |
+
"loss": 0.0,
|
2522 |
+
"step": 3830
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 24.46,
|
2526 |
+
"learning_rate": 4.123614059919792e-06,
|
2527 |
+
"loss": 0.0001,
|
2528 |
+
"step": 3840
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 24.52,
|
2532 |
+
"learning_rate": 4.076433121019109e-06,
|
2533 |
+
"loss": 0.0,
|
2534 |
+
"step": 3850
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 24.59,
|
2538 |
+
"learning_rate": 4.029252182118425e-06,
|
2539 |
+
"loss": 0.0001,
|
2540 |
+
"step": 3860
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 24.65,
|
2544 |
+
"learning_rate": 3.98207124321774e-06,
|
2545 |
+
"loss": 0.0001,
|
2546 |
+
"step": 3870
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 24.71,
|
2550 |
+
"learning_rate": 3.934890304317056e-06,
|
2551 |
+
"loss": 0.0004,
|
2552 |
+
"step": 3880
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 24.78,
|
2556 |
+
"learning_rate": 3.887709365416373e-06,
|
2557 |
+
"loss": 0.0002,
|
2558 |
+
"step": 3890
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 24.84,
|
2562 |
+
"learning_rate": 3.8405284265156875e-06,
|
2563 |
+
"loss": 0.0134,
|
2564 |
+
"step": 3900
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 24.9,
|
2568 |
+
"learning_rate": 3.793347487615004e-06,
|
2569 |
+
"loss": 0.0029,
|
2570 |
+
"step": 3910
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"epoch": 24.97,
|
2574 |
+
"learning_rate": 3.7461665487143194e-06,
|
2575 |
+
"loss": 0.0001,
|
2576 |
+
"step": 3920
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 25.0,
|
2580 |
+
"eval_accuracy": 0.99,
|
2581 |
+
"eval_loss": 0.05674205347895622,
|
2582 |
+
"eval_runtime": 4.1893,
|
2583 |
+
"eval_samples_per_second": 95.482,
|
2584 |
+
"eval_steps_per_second": 11.935,
|
2585 |
+
"step": 3925
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 25.03,
|
2589 |
+
"learning_rate": 3.6989856098136356e-06,
|
2590 |
+
"loss": 0.0222,
|
2591 |
+
"step": 3930
|
2592 |
+
},
|
2593 |
+
{
|
2594 |
+
"epoch": 25.1,
|
2595 |
+
"learning_rate": 3.6518046709129513e-06,
|
2596 |
+
"loss": 0.0004,
|
2597 |
+
"step": 3940
|
2598 |
+
},
|
2599 |
+
{
|
2600 |
+
"epoch": 25.16,
|
2601 |
+
"learning_rate": 3.6046237320122675e-06,
|
2602 |
+
"loss": 0.0006,
|
2603 |
+
"step": 3950
|
2604 |
+
},
|
2605 |
+
{
|
2606 |
+
"epoch": 25.22,
|
2607 |
+
"learning_rate": 3.5574427931115836e-06,
|
2608 |
+
"loss": 0.0007,
|
2609 |
+
"step": 3960
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"epoch": 25.29,
|
2613 |
+
"learning_rate": 3.510261854210899e-06,
|
2614 |
+
"loss": 0.0219,
|
2615 |
+
"step": 3970
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 25.35,
|
2619 |
+
"learning_rate": 3.463080915310215e-06,
|
2620 |
+
"loss": 0.0,
|
2621 |
+
"step": 3980
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 25.41,
|
2625 |
+
"learning_rate": 3.415899976409531e-06,
|
2626 |
+
"loss": 0.0071,
|
2627 |
+
"step": 3990
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 25.48,
|
2631 |
+
"learning_rate": 3.368719037508847e-06,
|
2632 |
+
"loss": 0.0003,
|
2633 |
+
"step": 4000
|
2634 |
+
},
|
2635 |
+
{
|
2636 |
+
"epoch": 25.54,
|
2637 |
+
"learning_rate": 3.3215380986081623e-06,
|
2638 |
+
"loss": 0.0,
|
2639 |
+
"step": 4010
|
2640 |
+
},
|
2641 |
+
{
|
2642 |
+
"epoch": 25.61,
|
2643 |
+
"learning_rate": 3.2743571597074784e-06,
|
2644 |
+
"loss": 0.0003,
|
2645 |
+
"step": 4020
|
2646 |
+
},
|
2647 |
+
{
|
2648 |
+
"epoch": 25.67,
|
2649 |
+
"learning_rate": 3.227176220806794e-06,
|
2650 |
+
"loss": 0.0047,
|
2651 |
+
"step": 4030
|
2652 |
+
},
|
2653 |
+
{
|
2654 |
+
"epoch": 25.73,
|
2655 |
+
"learning_rate": 3.1799952819061103e-06,
|
2656 |
+
"loss": 0.0002,
|
2657 |
+
"step": 4040
|
2658 |
+
},
|
2659 |
+
{
|
2660 |
+
"epoch": 25.8,
|
2661 |
+
"learning_rate": 3.132814343005426e-06,
|
2662 |
+
"loss": 0.0003,
|
2663 |
+
"step": 4050
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 25.86,
|
2667 |
+
"learning_rate": 3.085633404104742e-06,
|
2668 |
+
"loss": 0.0001,
|
2669 |
+
"step": 4060
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 25.92,
|
2673 |
+
"learning_rate": 3.0384524652040575e-06,
|
2674 |
+
"loss": 0.0003,
|
2675 |
+
"step": 4070
|
2676 |
+
},
|
2677 |
+
{
|
2678 |
+
"epoch": 25.99,
|
2679 |
+
"learning_rate": 2.9912715263033736e-06,
|
2680 |
+
"loss": 0.0057,
|
2681 |
+
"step": 4080
|
2682 |
+
},
|
2683 |
+
{
|
2684 |
+
"epoch": 26.0,
|
2685 |
+
"eval_accuracy": 0.99,
|
2686 |
+
"eval_loss": 0.061558231711387634,
|
2687 |
+
"eval_runtime": 3.688,
|
2688 |
+
"eval_samples_per_second": 108.459,
|
2689 |
+
"eval_steps_per_second": 13.557,
|
2690 |
+
"step": 4082
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 26.05,
|
2694 |
+
"learning_rate": 2.94409058740269e-06,
|
2695 |
+
"loss": 0.0108,
|
2696 |
+
"step": 4090
|
2697 |
+
},
|
2698 |
+
{
|
2699 |
+
"epoch": 26.11,
|
2700 |
+
"learning_rate": 2.8969096485020055e-06,
|
2701 |
+
"loss": 0.0026,
|
2702 |
+
"step": 4100
|
2703 |
+
},
|
2704 |
+
{
|
2705 |
+
"epoch": 26.18,
|
2706 |
+
"learning_rate": 2.8497287096013217e-06,
|
2707 |
+
"loss": 0.0009,
|
2708 |
+
"step": 4110
|
2709 |
+
},
|
2710 |
+
{
|
2711 |
+
"epoch": 26.24,
|
2712 |
+
"learning_rate": 2.802547770700637e-06,
|
2713 |
+
"loss": 0.0,
|
2714 |
+
"step": 4120
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 26.31,
|
2718 |
+
"learning_rate": 2.755366831799953e-06,
|
2719 |
+
"loss": 0.0,
|
2720 |
+
"step": 4130
|
2721 |
+
},
|
2722 |
+
{
|
2723 |
+
"epoch": 26.37,
|
2724 |
+
"learning_rate": 2.708185892899269e-06,
|
2725 |
+
"loss": 0.0001,
|
2726 |
+
"step": 4140
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 26.43,
|
2730 |
+
"learning_rate": 2.661004953998585e-06,
|
2731 |
+
"loss": 0.0,
|
2732 |
+
"step": 4150
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 26.5,
|
2736 |
+
"learning_rate": 2.6138240150979003e-06,
|
2737 |
+
"loss": 0.0029,
|
2738 |
+
"step": 4160
|
2739 |
+
},
|
2740 |
+
{
|
2741 |
+
"epoch": 26.56,
|
2742 |
+
"learning_rate": 2.5666430761972165e-06,
|
2743 |
+
"loss": 0.0056,
|
2744 |
+
"step": 4170
|
2745 |
+
},
|
2746 |
+
{
|
2747 |
+
"epoch": 26.62,
|
2748 |
+
"learning_rate": 2.519462137296532e-06,
|
2749 |
+
"loss": 0.0,
|
2750 |
+
"step": 4180
|
2751 |
+
},
|
2752 |
+
{
|
2753 |
+
"epoch": 26.69,
|
2754 |
+
"learning_rate": 2.4722811983958484e-06,
|
2755 |
+
"loss": 0.0001,
|
2756 |
+
"step": 4190
|
2757 |
+
},
|
2758 |
+
{
|
2759 |
+
"epoch": 26.75,
|
2760 |
+
"learning_rate": 2.425100259495164e-06,
|
2761 |
+
"loss": 0.0002,
|
2762 |
+
"step": 4200
|
2763 |
+
},
|
2764 |
+
{
|
2765 |
+
"epoch": 26.82,
|
2766 |
+
"learning_rate": 2.3779193205944802e-06,
|
2767 |
+
"loss": 0.0049,
|
2768 |
+
"step": 4210
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 26.88,
|
2772 |
+
"learning_rate": 2.330738381693796e-06,
|
2773 |
+
"loss": 0.0006,
|
2774 |
+
"step": 4220
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 26.94,
|
2778 |
+
"learning_rate": 2.2835574427931117e-06,
|
2779 |
+
"loss": 0.0,
|
2780 |
+
"step": 4230
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 27.0,
|
2784 |
+
"eval_accuracy": 0.98,
|
2785 |
+
"eval_loss": 0.08436720073223114,
|
2786 |
+
"eval_runtime": 4.2248,
|
2787 |
+
"eval_samples_per_second": 94.68,
|
2788 |
+
"eval_steps_per_second": 11.835,
|
2789 |
+
"step": 4239
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 27.01,
|
2793 |
+
"learning_rate": 2.2363765038924274e-06,
|
2794 |
+
"loss": 0.0,
|
2795 |
+
"step": 4240
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 27.07,
|
2799 |
+
"learning_rate": 2.1891955649917436e-06,
|
2800 |
+
"loss": 0.0003,
|
2801 |
+
"step": 4250
|
2802 |
+
},
|
2803 |
+
{
|
2804 |
+
"epoch": 27.13,
|
2805 |
+
"learning_rate": 2.1420146260910593e-06,
|
2806 |
+
"loss": 0.0127,
|
2807 |
+
"step": 4260
|
2808 |
+
},
|
2809 |
+
{
|
2810 |
+
"epoch": 27.2,
|
2811 |
+
"learning_rate": 2.094833687190375e-06,
|
2812 |
+
"loss": 0.0,
|
2813 |
+
"step": 4270
|
2814 |
+
},
|
2815 |
+
{
|
2816 |
+
"epoch": 27.26,
|
2817 |
+
"learning_rate": 2.047652748289691e-06,
|
2818 |
+
"loss": 0.0024,
|
2819 |
+
"step": 4280
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 27.32,
|
2823 |
+
"learning_rate": 2.000471809389007e-06,
|
2824 |
+
"loss": 0.0,
|
2825 |
+
"step": 4290
|
2826 |
+
},
|
2827 |
+
{
|
2828 |
+
"epoch": 27.39,
|
2829 |
+
"learning_rate": 1.953290870488323e-06,
|
2830 |
+
"loss": 0.0043,
|
2831 |
+
"step": 4300
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 27.45,
|
2835 |
+
"learning_rate": 1.9061099315876388e-06,
|
2836 |
+
"loss": 0.0027,
|
2837 |
+
"step": 4310
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 27.52,
|
2841 |
+
"learning_rate": 1.8589289926869548e-06,
|
2842 |
+
"loss": 0.0,
|
2843 |
+
"step": 4320
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 27.58,
|
2847 |
+
"learning_rate": 1.8117480537862705e-06,
|
2848 |
+
"loss": 0.0003,
|
2849 |
+
"step": 4330
|
2850 |
+
},
|
2851 |
+
{
|
2852 |
+
"epoch": 27.64,
|
2853 |
+
"learning_rate": 1.7645671148855864e-06,
|
2854 |
+
"loss": 0.0,
|
2855 |
+
"step": 4340
|
2856 |
+
},
|
2857 |
+
{
|
2858 |
+
"epoch": 27.71,
|
2859 |
+
"learning_rate": 1.7173861759849022e-06,
|
2860 |
+
"loss": 0.0058,
|
2861 |
+
"step": 4350
|
2862 |
+
},
|
2863 |
+
{
|
2864 |
+
"epoch": 27.77,
|
2865 |
+
"learning_rate": 1.6702052370842181e-06,
|
2866 |
+
"loss": 0.0003,
|
2867 |
+
"step": 4360
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"epoch": 27.83,
|
2871 |
+
"learning_rate": 1.623024298183534e-06,
|
2872 |
+
"loss": 0.0156,
|
2873 |
+
"step": 4370
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 27.9,
|
2877 |
+
"learning_rate": 1.5758433592828498e-06,
|
2878 |
+
"loss": 0.0,
|
2879 |
+
"step": 4380
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 27.96,
|
2883 |
+
"learning_rate": 1.5286624203821657e-06,
|
2884 |
+
"loss": 0.0022,
|
2885 |
+
"step": 4390
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 28.0,
|
2889 |
+
"eval_accuracy": 0.99,
|
2890 |
+
"eval_loss": 0.06583850830793381,
|
2891 |
+
"eval_runtime": 4.0003,
|
2892 |
+
"eval_samples_per_second": 99.991,
|
2893 |
+
"eval_steps_per_second": 12.499,
|
2894 |
+
"step": 4396
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 28.03,
|
2898 |
+
"learning_rate": 1.4814814814814815e-06,
|
2899 |
+
"loss": 0.0004,
|
2900 |
+
"step": 4400
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 28.09,
|
2904 |
+
"learning_rate": 1.4343005425807974e-06,
|
2905 |
+
"loss": 0.0,
|
2906 |
+
"step": 4410
|
2907 |
+
},
|
2908 |
+
{
|
2909 |
+
"epoch": 28.15,
|
2910 |
+
"learning_rate": 1.3871196036801131e-06,
|
2911 |
+
"loss": 0.0001,
|
2912 |
+
"step": 4420
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 28.22,
|
2916 |
+
"learning_rate": 1.3399386647794293e-06,
|
2917 |
+
"loss": 0.0008,
|
2918 |
+
"step": 4430
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 28.28,
|
2922 |
+
"learning_rate": 1.2927577258787452e-06,
|
2923 |
+
"loss": 0.001,
|
2924 |
+
"step": 4440
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 28.34,
|
2928 |
+
"learning_rate": 1.245576786978061e-06,
|
2929 |
+
"loss": 0.0001,
|
2930 |
+
"step": 4450
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 28.41,
|
2934 |
+
"learning_rate": 1.1983958480773767e-06,
|
2935 |
+
"loss": 0.0072,
|
2936 |
+
"step": 4460
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 28.47,
|
2940 |
+
"learning_rate": 1.1512149091766928e-06,
|
2941 |
+
"loss": 0.0,
|
2942 |
+
"step": 4470
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 28.54,
|
2946 |
+
"learning_rate": 1.1040339702760086e-06,
|
2947 |
+
"loss": 0.0001,
|
2948 |
+
"step": 4480
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 28.6,
|
2952 |
+
"learning_rate": 1.0568530313753245e-06,
|
2953 |
+
"loss": 0.0017,
|
2954 |
+
"step": 4490
|
2955 |
+
},
|
2956 |
+
{
|
2957 |
+
"epoch": 28.66,
|
2958 |
+
"learning_rate": 1.0096720924746402e-06,
|
2959 |
+
"loss": 0.0,
|
2960 |
+
"step": 4500
|
2961 |
+
},
|
2962 |
+
{
|
2963 |
+
"epoch": 28.73,
|
2964 |
+
"learning_rate": 9.624911535739562e-07,
|
2965 |
+
"loss": 0.0,
|
2966 |
+
"step": 4510
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 28.79,
|
2970 |
+
"learning_rate": 9.15310214673272e-07,
|
2971 |
+
"loss": 0.0005,
|
2972 |
+
"step": 4520
|
2973 |
+
},
|
2974 |
+
{
|
2975 |
+
"epoch": 28.85,
|
2976 |
+
"learning_rate": 8.681292757725881e-07,
|
2977 |
+
"loss": 0.0001,
|
2978 |
+
"step": 4530
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 28.92,
|
2982 |
+
"learning_rate": 8.209483368719039e-07,
|
2983 |
+
"loss": 0.0,
|
2984 |
+
"step": 4540
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 28.98,
|
2988 |
+
"learning_rate": 7.737673979712197e-07,
|
2989 |
+
"loss": 0.0,
|
2990 |
+
"step": 4550
|
2991 |
+
},
|
2992 |
+
{
|
2993 |
+
"epoch": 29.0,
|
2994 |
+
"eval_accuracy": 0.9825,
|
2995 |
+
"eval_loss": 0.07669363915920258,
|
2996 |
+
"eval_runtime": 3.7171,
|
2997 |
+
"eval_samples_per_second": 107.61,
|
2998 |
+
"eval_steps_per_second": 13.451,
|
2999 |
+
"step": 4553
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 29.04,
|
3003 |
+
"learning_rate": 7.265864590705356e-07,
|
3004 |
+
"loss": 0.0,
|
3005 |
+
"step": 4560
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 29.11,
|
3009 |
+
"learning_rate": 6.794055201698514e-07,
|
3010 |
+
"loss": 0.0036,
|
3011 |
+
"step": 4570
|
3012 |
+
},
|
3013 |
+
{
|
3014 |
+
"epoch": 29.17,
|
3015 |
+
"learning_rate": 6.322245812691672e-07,
|
3016 |
+
"loss": 0.0,
|
3017 |
+
"step": 4580
|
3018 |
+
},
|
3019 |
+
{
|
3020 |
+
"epoch": 29.24,
|
3021 |
+
"learning_rate": 5.850436423684832e-07,
|
3022 |
+
"loss": 0.0004,
|
3023 |
+
"step": 4590
|
3024 |
+
},
|
3025 |
+
{
|
3026 |
+
"epoch": 29.3,
|
3027 |
+
"learning_rate": 5.37862703467799e-07,
|
3028 |
+
"loss": 0.0,
|
3029 |
+
"step": 4600
|
3030 |
+
},
|
3031 |
+
{
|
3032 |
+
"epoch": 29.36,
|
3033 |
+
"learning_rate": 4.906817645671149e-07,
|
3034 |
+
"loss": 0.0,
|
3035 |
+
"step": 4610
|
3036 |
+
},
|
3037 |
+
{
|
3038 |
+
"epoch": 29.43,
|
3039 |
+
"learning_rate": 4.435008256664308e-07,
|
3040 |
+
"loss": 0.0001,
|
3041 |
+
"step": 4620
|
3042 |
+
},
|
3043 |
+
{
|
3044 |
+
"epoch": 29.49,
|
3045 |
+
"learning_rate": 3.963198867657467e-07,
|
3046 |
+
"loss": 0.0004,
|
3047 |
+
"step": 4630
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 29.55,
|
3051 |
+
"learning_rate": 3.4913894786506253e-07,
|
3052 |
+
"loss": 0.0001,
|
3053 |
+
"step": 4640
|
3054 |
+
},
|
3055 |
+
{
|
3056 |
+
"epoch": 29.62,
|
3057 |
+
"learning_rate": 3.019580089643784e-07,
|
3058 |
+
"loss": 0.0,
|
3059 |
+
"step": 4650
|
3060 |
+
},
|
3061 |
+
{
|
3062 |
+
"epoch": 29.68,
|
3063 |
+
"learning_rate": 2.547770700636943e-07,
|
3064 |
+
"loss": 0.0026,
|
3065 |
+
"step": 4660
|
3066 |
+
},
|
3067 |
+
{
|
3068 |
+
"epoch": 29.75,
|
3069 |
+
"learning_rate": 2.0759613116301014e-07,
|
3070 |
+
"loss": 0.0001,
|
3071 |
+
"step": 4670
|
3072 |
+
},
|
3073 |
+
{
|
3074 |
+
"epoch": 29.81,
|
3075 |
+
"learning_rate": 1.6041519226232603e-07,
|
3076 |
+
"loss": 0.0,
|
3077 |
+
"step": 4680
|
3078 |
+
},
|
3079 |
+
{
|
3080 |
+
"epoch": 29.87,
|
3081 |
+
"learning_rate": 1.132342533616419e-07,
|
3082 |
+
"loss": 0.0002,
|
3083 |
+
"step": 4690
|
3084 |
+
},
|
3085 |
+
{
|
3086 |
+
"epoch": 29.94,
|
3087 |
+
"learning_rate": 6.605331446095778e-08,
|
3088 |
+
"loss": 0.001,
|
3089 |
+
"step": 4700
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 30.0,
|
3093 |
+
"learning_rate": 1.887237556027365e-08,
|
3094 |
+
"loss": 0.0001,
|
3095 |
+
"step": 4710
|
3096 |
+
},
|
3097 |
+
{
|
3098 |
+
"epoch": 30.0,
|
3099 |
+
"eval_accuracy": 0.9875,
|
3100 |
+
"eval_loss": 0.07613274455070496,
|
3101 |
+
"eval_runtime": 4.211,
|
3102 |
+
"eval_samples_per_second": 94.99,
|
3103 |
+
"eval_steps_per_second": 11.874,
|
3104 |
+
"step": 4710
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 30.0,
|
3108 |
+
"step": 4710,
|
3109 |
+
"total_flos": 2.3238077313024e+19,
|
3110 |
+
"train_loss": 0.07197937404424458,
|
3111 |
+
"train_runtime": 7271.1721,
|
3112 |
+
"train_samples_per_second": 41.259,
|
3113 |
+
"train_steps_per_second": 0.648
|
3114 |
+
}
|
3115 |
+
],
|
3116 |
+
"max_steps": 4710,
|
3117 |
+
"num_train_epochs": 30,
|
3118 |
+
"total_flos": 2.3238077313024e+19,
|
3119 |
+
"trial_name": null,
|
3120 |
+
"trial_params": null
|
3121 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:345d4a46c1035b2414881a1ccfcfce30adf6c83f9ddcde41322baa6045951548
|
3 |
+
size 3643
|