mmomm25 commited on
Commit
2febeb5
·
verified ·
1 Parent(s): f415a99

Training in progress, epoch 3

Browse files
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0626740999d70436a63bb393abae1f5a7de83f31e6824b6bc182b233c02cf30d
3
  size 343233204
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:612b46cd150d8cd39c0d39eb5420e5e0fcc68049ad183fe3ad15ce3041c1bc9a
3
  size 343233204
tmp-checkpoint-5340/config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "crack",
13
+ "1": "for review",
14
+ "2": "material deterioration",
15
+ "3": "repair",
16
+ "4": "water leakage"
17
+ },
18
+ "image_size": 224,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 3072,
21
+ "label2id": {
22
+ "crack": 0,
23
+ "for review": 1,
24
+ "material deterioration": 2,
25
+ "repair": 3,
26
+ "water leakage": 4
27
+ },
28
+ "layer_norm_eps": 1e-12,
29
+ "model_type": "vit",
30
+ "num_attention_heads": 12,
31
+ "num_channels": 3,
32
+ "num_hidden_layers": 12,
33
+ "patch_size": 16,
34
+ "problem_type": "single_label_classification",
35
+ "qkv_bias": true,
36
+ "torch_dtype": "float32",
37
+ "transformers_version": "4.37.2"
38
+ }
tmp-checkpoint-5340/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:612b46cd150d8cd39c0d39eb5420e5e0fcc68049ad183fe3ad15ce3041c1bc9a
3
+ size 343233204
tmp-checkpoint-5340/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0afea4d52aea8faaf689386090206414d76638cdc280f8069154386fb7edda10
3
+ size 686587322
tmp-checkpoint-5340/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTImageProcessor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
tmp-checkpoint-5340/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:498dfd6df7d34a110349149457dc7beb4402714e058155340398617601d3434e
3
+ size 14244
tmp-checkpoint-5340/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8152fea158481e7c271483446f23cffd4276bd1959b34aa8a5d466a1478dc456
3
+ size 1064
tmp-checkpoint-5340/trainer_state.json ADDED
@@ -0,0 +1,3285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.22899627685546875,
3
+ "best_model_checkpoint": "vit-base-patch16-224-in21k-bridgedefectVIT15\\checkpoint-5340",
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 5340,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 1.8726591760299626e-07,
14
+ "loss": 1.6071,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 3.7453183520599253e-07,
20
+ "loss": 1.6248,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.02,
25
+ "learning_rate": 5.617977528089887e-07,
26
+ "loss": 1.6194,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.02,
31
+ "learning_rate": 7.490636704119851e-07,
32
+ "loss": 1.6239,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.03,
37
+ "learning_rate": 9.363295880149814e-07,
38
+ "loss": 1.6197,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.03,
43
+ "learning_rate": 1.1235955056179775e-06,
44
+ "loss": 1.6005,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.04,
49
+ "learning_rate": 1.310861423220974e-06,
50
+ "loss": 1.6125,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.04,
55
+ "learning_rate": 1.4981273408239701e-06,
56
+ "loss": 1.6071,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.05,
61
+ "learning_rate": 1.6853932584269663e-06,
62
+ "loss": 1.5943,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.06,
67
+ "learning_rate": 1.8726591760299627e-06,
68
+ "loss": 1.6106,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.06,
73
+ "learning_rate": 2.0599250936329587e-06,
74
+ "loss": 1.597,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.07,
79
+ "learning_rate": 2.247191011235955e-06,
80
+ "loss": 1.5831,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.07,
85
+ "learning_rate": 2.4344569288389516e-06,
86
+ "loss": 1.5911,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.08,
91
+ "learning_rate": 2.621722846441948e-06,
92
+ "loss": 1.5827,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.08,
97
+ "learning_rate": 2.808988764044944e-06,
98
+ "loss": 1.5803,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.09,
103
+ "learning_rate": 2.9962546816479402e-06,
104
+ "loss": 1.5632,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.1,
109
+ "learning_rate": 3.1835205992509364e-06,
110
+ "loss": 1.568,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.1,
115
+ "learning_rate": 3.3707865168539327e-06,
116
+ "loss": 1.5746,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.11,
121
+ "learning_rate": 3.558052434456929e-06,
122
+ "loss": 1.5403,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.11,
127
+ "learning_rate": 3.7453183520599255e-06,
128
+ "loss": 1.5729,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.12,
133
+ "learning_rate": 3.932584269662922e-06,
134
+ "loss": 1.535,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 0.12,
139
+ "learning_rate": 4.1198501872659175e-06,
140
+ "loss": 1.5219,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 0.13,
145
+ "learning_rate": 4.307116104868914e-06,
146
+ "loss": 1.5319,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 0.13,
151
+ "learning_rate": 4.49438202247191e-06,
152
+ "loss": 1.5031,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 0.14,
157
+ "learning_rate": 4.6816479400749066e-06,
158
+ "loss": 1.4887,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 0.15,
163
+ "learning_rate": 4.868913857677903e-06,
164
+ "loss": 1.4869,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 0.15,
169
+ "learning_rate": 5.056179775280899e-06,
170
+ "loss": 1.4823,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 0.16,
175
+ "learning_rate": 5.243445692883896e-06,
176
+ "loss": 1.4644,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 0.16,
181
+ "learning_rate": 5.430711610486891e-06,
182
+ "loss": 1.4454,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 0.17,
187
+ "learning_rate": 5.617977528089888e-06,
188
+ "loss": 1.4372,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 0.17,
193
+ "learning_rate": 5.805243445692885e-06,
194
+ "loss": 1.3914,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 0.18,
199
+ "learning_rate": 5.9925093632958805e-06,
200
+ "loss": 1.4091,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 0.19,
205
+ "learning_rate": 6.179775280898876e-06,
206
+ "loss": 1.3276,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 0.19,
211
+ "learning_rate": 6.367041198501873e-06,
212
+ "loss": 1.3891,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 0.2,
217
+ "learning_rate": 6.554307116104869e-06,
218
+ "loss": 1.3041,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 0.2,
223
+ "learning_rate": 6.741573033707865e-06,
224
+ "loss": 1.3156,
225
+ "step": 360
226
+ },
227
+ {
228
+ "epoch": 0.21,
229
+ "learning_rate": 6.928838951310862e-06,
230
+ "loss": 1.2533,
231
+ "step": 370
232
+ },
233
+ {
234
+ "epoch": 0.21,
235
+ "learning_rate": 7.116104868913858e-06,
236
+ "loss": 1.2701,
237
+ "step": 380
238
+ },
239
+ {
240
+ "epoch": 0.22,
241
+ "learning_rate": 7.303370786516854e-06,
242
+ "loss": 1.2659,
243
+ "step": 390
244
+ },
245
+ {
246
+ "epoch": 0.22,
247
+ "learning_rate": 7.490636704119851e-06,
248
+ "loss": 1.2466,
249
+ "step": 400
250
+ },
251
+ {
252
+ "epoch": 0.23,
253
+ "learning_rate": 7.677902621722846e-06,
254
+ "loss": 1.2126,
255
+ "step": 410
256
+ },
257
+ {
258
+ "epoch": 0.24,
259
+ "learning_rate": 7.865168539325843e-06,
260
+ "loss": 1.1697,
261
+ "step": 420
262
+ },
263
+ {
264
+ "epoch": 0.24,
265
+ "learning_rate": 8.05243445692884e-06,
266
+ "loss": 1.2085,
267
+ "step": 430
268
+ },
269
+ {
270
+ "epoch": 0.25,
271
+ "learning_rate": 8.239700374531835e-06,
272
+ "loss": 1.1072,
273
+ "step": 440
274
+ },
275
+ {
276
+ "epoch": 0.25,
277
+ "learning_rate": 8.426966292134832e-06,
278
+ "loss": 1.0911,
279
+ "step": 450
280
+ },
281
+ {
282
+ "epoch": 0.26,
283
+ "learning_rate": 8.614232209737828e-06,
284
+ "loss": 1.0768,
285
+ "step": 460
286
+ },
287
+ {
288
+ "epoch": 0.26,
289
+ "learning_rate": 8.801498127340826e-06,
290
+ "loss": 1.0506,
291
+ "step": 470
292
+ },
293
+ {
294
+ "epoch": 0.27,
295
+ "learning_rate": 8.98876404494382e-06,
296
+ "loss": 0.9857,
297
+ "step": 480
298
+ },
299
+ {
300
+ "epoch": 0.28,
301
+ "learning_rate": 9.176029962546817e-06,
302
+ "loss": 0.94,
303
+ "step": 490
304
+ },
305
+ {
306
+ "epoch": 0.28,
307
+ "learning_rate": 9.363295880149813e-06,
308
+ "loss": 0.9744,
309
+ "step": 500
310
+ },
311
+ {
312
+ "epoch": 0.29,
313
+ "learning_rate": 9.550561797752809e-06,
314
+ "loss": 0.9008,
315
+ "step": 510
316
+ },
317
+ {
318
+ "epoch": 0.29,
319
+ "learning_rate": 9.737827715355806e-06,
320
+ "loss": 0.9664,
321
+ "step": 520
322
+ },
323
+ {
324
+ "epoch": 0.3,
325
+ "learning_rate": 9.925093632958802e-06,
326
+ "loss": 0.8886,
327
+ "step": 530
328
+ },
329
+ {
330
+ "epoch": 0.3,
331
+ "learning_rate": 1.0112359550561798e-05,
332
+ "loss": 0.8804,
333
+ "step": 540
334
+ },
335
+ {
336
+ "epoch": 0.31,
337
+ "learning_rate": 1.0299625468164795e-05,
338
+ "loss": 0.8209,
339
+ "step": 550
340
+ },
341
+ {
342
+ "epoch": 0.31,
343
+ "learning_rate": 1.0486891385767791e-05,
344
+ "loss": 0.7627,
345
+ "step": 560
346
+ },
347
+ {
348
+ "epoch": 0.32,
349
+ "learning_rate": 1.0674157303370787e-05,
350
+ "loss": 0.8034,
351
+ "step": 570
352
+ },
353
+ {
354
+ "epoch": 0.33,
355
+ "learning_rate": 1.0861423220973783e-05,
356
+ "loss": 0.8372,
357
+ "step": 580
358
+ },
359
+ {
360
+ "epoch": 0.33,
361
+ "learning_rate": 1.104868913857678e-05,
362
+ "loss": 0.716,
363
+ "step": 590
364
+ },
365
+ {
366
+ "epoch": 0.34,
367
+ "learning_rate": 1.1235955056179776e-05,
368
+ "loss": 0.8199,
369
+ "step": 600
370
+ },
371
+ {
372
+ "epoch": 0.34,
373
+ "learning_rate": 1.1423220973782772e-05,
374
+ "loss": 0.6924,
375
+ "step": 610
376
+ },
377
+ {
378
+ "epoch": 0.35,
379
+ "learning_rate": 1.161048689138577e-05,
380
+ "loss": 0.7584,
381
+ "step": 620
382
+ },
383
+ {
384
+ "epoch": 0.35,
385
+ "learning_rate": 1.1797752808988765e-05,
386
+ "loss": 0.7057,
387
+ "step": 630
388
+ },
389
+ {
390
+ "epoch": 0.36,
391
+ "learning_rate": 1.1985018726591761e-05,
392
+ "loss": 0.6971,
393
+ "step": 640
394
+ },
395
+ {
396
+ "epoch": 0.37,
397
+ "learning_rate": 1.2172284644194758e-05,
398
+ "loss": 0.5725,
399
+ "step": 650
400
+ },
401
+ {
402
+ "epoch": 0.37,
403
+ "learning_rate": 1.2359550561797752e-05,
404
+ "loss": 0.646,
405
+ "step": 660
406
+ },
407
+ {
408
+ "epoch": 0.38,
409
+ "learning_rate": 1.254681647940075e-05,
410
+ "loss": 0.6461,
411
+ "step": 670
412
+ },
413
+ {
414
+ "epoch": 0.38,
415
+ "learning_rate": 1.2734082397003746e-05,
416
+ "loss": 0.6068,
417
+ "step": 680
418
+ },
419
+ {
420
+ "epoch": 0.39,
421
+ "learning_rate": 1.2921348314606743e-05,
422
+ "loss": 0.6562,
423
+ "step": 690
424
+ },
425
+ {
426
+ "epoch": 0.39,
427
+ "learning_rate": 1.3108614232209737e-05,
428
+ "loss": 0.4778,
429
+ "step": 700
430
+ },
431
+ {
432
+ "epoch": 0.4,
433
+ "learning_rate": 1.3295880149812733e-05,
434
+ "loss": 0.5758,
435
+ "step": 710
436
+ },
437
+ {
438
+ "epoch": 0.4,
439
+ "learning_rate": 1.348314606741573e-05,
440
+ "loss": 0.6472,
441
+ "step": 720
442
+ },
443
+ {
444
+ "epoch": 0.41,
445
+ "learning_rate": 1.3670411985018728e-05,
446
+ "loss": 0.6138,
447
+ "step": 730
448
+ },
449
+ {
450
+ "epoch": 0.42,
451
+ "learning_rate": 1.3857677902621724e-05,
452
+ "loss": 0.6494,
453
+ "step": 740
454
+ },
455
+ {
456
+ "epoch": 0.42,
457
+ "learning_rate": 1.4044943820224721e-05,
458
+ "loss": 0.5153,
459
+ "step": 750
460
+ },
461
+ {
462
+ "epoch": 0.43,
463
+ "learning_rate": 1.4232209737827715e-05,
464
+ "loss": 0.6178,
465
+ "step": 760
466
+ },
467
+ {
468
+ "epoch": 0.43,
469
+ "learning_rate": 1.4419475655430711e-05,
470
+ "loss": 0.5731,
471
+ "step": 770
472
+ },
473
+ {
474
+ "epoch": 0.44,
475
+ "learning_rate": 1.4606741573033709e-05,
476
+ "loss": 0.4859,
477
+ "step": 780
478
+ },
479
+ {
480
+ "epoch": 0.44,
481
+ "learning_rate": 1.4794007490636705e-05,
482
+ "loss": 0.4832,
483
+ "step": 790
484
+ },
485
+ {
486
+ "epoch": 0.45,
487
+ "learning_rate": 1.4981273408239702e-05,
488
+ "loss": 0.5471,
489
+ "step": 800
490
+ },
491
+ {
492
+ "epoch": 0.46,
493
+ "learning_rate": 1.5168539325842698e-05,
494
+ "loss": 0.4091,
495
+ "step": 810
496
+ },
497
+ {
498
+ "epoch": 0.46,
499
+ "learning_rate": 1.5355805243445692e-05,
500
+ "loss": 0.5861,
501
+ "step": 820
502
+ },
503
+ {
504
+ "epoch": 0.47,
505
+ "learning_rate": 1.554307116104869e-05,
506
+ "loss": 0.4113,
507
+ "step": 830
508
+ },
509
+ {
510
+ "epoch": 0.47,
511
+ "learning_rate": 1.5730337078651687e-05,
512
+ "loss": 0.5322,
513
+ "step": 840
514
+ },
515
+ {
516
+ "epoch": 0.48,
517
+ "learning_rate": 1.591760299625468e-05,
518
+ "loss": 0.5145,
519
+ "step": 850
520
+ },
521
+ {
522
+ "epoch": 0.48,
523
+ "learning_rate": 1.610486891385768e-05,
524
+ "loss": 0.5974,
525
+ "step": 860
526
+ },
527
+ {
528
+ "epoch": 0.49,
529
+ "learning_rate": 1.6292134831460676e-05,
530
+ "loss": 0.642,
531
+ "step": 870
532
+ },
533
+ {
534
+ "epoch": 0.49,
535
+ "learning_rate": 1.647940074906367e-05,
536
+ "loss": 0.6079,
537
+ "step": 880
538
+ },
539
+ {
540
+ "epoch": 0.5,
541
+ "learning_rate": 1.6666666666666667e-05,
542
+ "loss": 0.6456,
543
+ "step": 890
544
+ },
545
+ {
546
+ "epoch": 0.51,
547
+ "learning_rate": 1.6853932584269665e-05,
548
+ "loss": 0.5845,
549
+ "step": 900
550
+ },
551
+ {
552
+ "epoch": 0.51,
553
+ "learning_rate": 1.704119850187266e-05,
554
+ "loss": 0.39,
555
+ "step": 910
556
+ },
557
+ {
558
+ "epoch": 0.52,
559
+ "learning_rate": 1.7228464419475657e-05,
560
+ "loss": 0.4569,
561
+ "step": 920
562
+ },
563
+ {
564
+ "epoch": 0.52,
565
+ "learning_rate": 1.7415730337078654e-05,
566
+ "loss": 0.3825,
567
+ "step": 930
568
+ },
569
+ {
570
+ "epoch": 0.53,
571
+ "learning_rate": 1.760299625468165e-05,
572
+ "loss": 0.539,
573
+ "step": 940
574
+ },
575
+ {
576
+ "epoch": 0.53,
577
+ "learning_rate": 1.7790262172284646e-05,
578
+ "loss": 0.3787,
579
+ "step": 950
580
+ },
581
+ {
582
+ "epoch": 0.54,
583
+ "learning_rate": 1.797752808988764e-05,
584
+ "loss": 0.4516,
585
+ "step": 960
586
+ },
587
+ {
588
+ "epoch": 0.54,
589
+ "learning_rate": 1.8164794007490637e-05,
590
+ "loss": 0.4029,
591
+ "step": 970
592
+ },
593
+ {
594
+ "epoch": 0.55,
595
+ "learning_rate": 1.8352059925093635e-05,
596
+ "loss": 0.3875,
597
+ "step": 980
598
+ },
599
+ {
600
+ "epoch": 0.56,
601
+ "learning_rate": 1.8539325842696632e-05,
602
+ "loss": 0.2843,
603
+ "step": 990
604
+ },
605
+ {
606
+ "epoch": 0.56,
607
+ "learning_rate": 1.8726591760299626e-05,
608
+ "loss": 0.3438,
609
+ "step": 1000
610
+ },
611
+ {
612
+ "epoch": 0.57,
613
+ "learning_rate": 1.891385767790262e-05,
614
+ "loss": 0.4593,
615
+ "step": 1010
616
+ },
617
+ {
618
+ "epoch": 0.57,
619
+ "learning_rate": 1.9101123595505618e-05,
620
+ "loss": 0.4925,
621
+ "step": 1020
622
+ },
623
+ {
624
+ "epoch": 0.58,
625
+ "learning_rate": 1.9288389513108615e-05,
626
+ "loss": 0.4471,
627
+ "step": 1030
628
+ },
629
+ {
630
+ "epoch": 0.58,
631
+ "learning_rate": 1.9475655430711613e-05,
632
+ "loss": 0.4646,
633
+ "step": 1040
634
+ },
635
+ {
636
+ "epoch": 0.59,
637
+ "learning_rate": 1.9662921348314607e-05,
638
+ "loss": 0.4893,
639
+ "step": 1050
640
+ },
641
+ {
642
+ "epoch": 0.6,
643
+ "learning_rate": 1.9850187265917604e-05,
644
+ "loss": 0.4647,
645
+ "step": 1060
646
+ },
647
+ {
648
+ "epoch": 0.6,
649
+ "learning_rate": 2.00374531835206e-05,
650
+ "loss": 0.5963,
651
+ "step": 1070
652
+ },
653
+ {
654
+ "epoch": 0.61,
655
+ "learning_rate": 2.0224719101123596e-05,
656
+ "loss": 0.5337,
657
+ "step": 1080
658
+ },
659
+ {
660
+ "epoch": 0.61,
661
+ "learning_rate": 2.0411985018726593e-05,
662
+ "loss": 0.5736,
663
+ "step": 1090
664
+ },
665
+ {
666
+ "epoch": 0.62,
667
+ "learning_rate": 2.059925093632959e-05,
668
+ "loss": 0.4304,
669
+ "step": 1100
670
+ },
671
+ {
672
+ "epoch": 0.62,
673
+ "learning_rate": 2.0786516853932585e-05,
674
+ "loss": 0.4311,
675
+ "step": 1110
676
+ },
677
+ {
678
+ "epoch": 0.63,
679
+ "learning_rate": 2.0973782771535582e-05,
680
+ "loss": 0.3767,
681
+ "step": 1120
682
+ },
683
+ {
684
+ "epoch": 0.63,
685
+ "learning_rate": 2.1161048689138577e-05,
686
+ "loss": 0.3995,
687
+ "step": 1130
688
+ },
689
+ {
690
+ "epoch": 0.64,
691
+ "learning_rate": 2.1348314606741574e-05,
692
+ "loss": 0.2452,
693
+ "step": 1140
694
+ },
695
+ {
696
+ "epoch": 0.65,
697
+ "learning_rate": 2.153558052434457e-05,
698
+ "loss": 0.4263,
699
+ "step": 1150
700
+ },
701
+ {
702
+ "epoch": 0.65,
703
+ "learning_rate": 2.1722846441947566e-05,
704
+ "loss": 0.3038,
705
+ "step": 1160
706
+ },
707
+ {
708
+ "epoch": 0.66,
709
+ "learning_rate": 2.1910112359550563e-05,
710
+ "loss": 0.4827,
711
+ "step": 1170
712
+ },
713
+ {
714
+ "epoch": 0.66,
715
+ "learning_rate": 2.209737827715356e-05,
716
+ "loss": 0.3673,
717
+ "step": 1180
718
+ },
719
+ {
720
+ "epoch": 0.67,
721
+ "learning_rate": 2.2284644194756555e-05,
722
+ "loss": 0.3788,
723
+ "step": 1190
724
+ },
725
+ {
726
+ "epoch": 0.67,
727
+ "learning_rate": 2.2471910112359552e-05,
728
+ "loss": 0.4111,
729
+ "step": 1200
730
+ },
731
+ {
732
+ "epoch": 0.68,
733
+ "learning_rate": 2.2659176029962546e-05,
734
+ "loss": 0.4552,
735
+ "step": 1210
736
+ },
737
+ {
738
+ "epoch": 0.69,
739
+ "learning_rate": 2.2846441947565544e-05,
740
+ "loss": 0.4149,
741
+ "step": 1220
742
+ },
743
+ {
744
+ "epoch": 0.69,
745
+ "learning_rate": 2.303370786516854e-05,
746
+ "loss": 0.265,
747
+ "step": 1230
748
+ },
749
+ {
750
+ "epoch": 0.7,
751
+ "learning_rate": 2.322097378277154e-05,
752
+ "loss": 0.2473,
753
+ "step": 1240
754
+ },
755
+ {
756
+ "epoch": 0.7,
757
+ "learning_rate": 2.3408239700374533e-05,
758
+ "loss": 0.4116,
759
+ "step": 1250
760
+ },
761
+ {
762
+ "epoch": 0.71,
763
+ "learning_rate": 2.359550561797753e-05,
764
+ "loss": 0.4774,
765
+ "step": 1260
766
+ },
767
+ {
768
+ "epoch": 0.71,
769
+ "learning_rate": 2.3782771535580524e-05,
770
+ "loss": 0.3525,
771
+ "step": 1270
772
+ },
773
+ {
774
+ "epoch": 0.72,
775
+ "learning_rate": 2.3970037453183522e-05,
776
+ "loss": 0.4028,
777
+ "step": 1280
778
+ },
779
+ {
780
+ "epoch": 0.72,
781
+ "learning_rate": 2.415730337078652e-05,
782
+ "loss": 0.5239,
783
+ "step": 1290
784
+ },
785
+ {
786
+ "epoch": 0.73,
787
+ "learning_rate": 2.4344569288389517e-05,
788
+ "loss": 0.4398,
789
+ "step": 1300
790
+ },
791
+ {
792
+ "epoch": 0.74,
793
+ "learning_rate": 2.453183520599251e-05,
794
+ "loss": 0.413,
795
+ "step": 1310
796
+ },
797
+ {
798
+ "epoch": 0.74,
799
+ "learning_rate": 2.4719101123595505e-05,
800
+ "loss": 0.2971,
801
+ "step": 1320
802
+ },
803
+ {
804
+ "epoch": 0.75,
805
+ "learning_rate": 2.4906367041198502e-05,
806
+ "loss": 0.3945,
807
+ "step": 1330
808
+ },
809
+ {
810
+ "epoch": 0.75,
811
+ "learning_rate": 2.50936329588015e-05,
812
+ "loss": 0.3862,
813
+ "step": 1340
814
+ },
815
+ {
816
+ "epoch": 0.76,
817
+ "learning_rate": 2.5280898876404497e-05,
818
+ "loss": 0.2727,
819
+ "step": 1350
820
+ },
821
+ {
822
+ "epoch": 0.76,
823
+ "learning_rate": 2.546816479400749e-05,
824
+ "loss": 0.4686,
825
+ "step": 1360
826
+ },
827
+ {
828
+ "epoch": 0.77,
829
+ "learning_rate": 2.565543071161049e-05,
830
+ "loss": 0.4213,
831
+ "step": 1370
832
+ },
833
+ {
834
+ "epoch": 0.78,
835
+ "learning_rate": 2.5842696629213486e-05,
836
+ "loss": 0.3585,
837
+ "step": 1380
838
+ },
839
+ {
840
+ "epoch": 0.78,
841
+ "learning_rate": 2.6029962546816484e-05,
842
+ "loss": 0.3737,
843
+ "step": 1390
844
+ },
845
+ {
846
+ "epoch": 0.79,
847
+ "learning_rate": 2.6217228464419475e-05,
848
+ "loss": 0.4583,
849
+ "step": 1400
850
+ },
851
+ {
852
+ "epoch": 0.79,
853
+ "learning_rate": 2.6404494382022472e-05,
854
+ "loss": 0.241,
855
+ "step": 1410
856
+ },
857
+ {
858
+ "epoch": 0.8,
859
+ "learning_rate": 2.6591760299625466e-05,
860
+ "loss": 0.491,
861
+ "step": 1420
862
+ },
863
+ {
864
+ "epoch": 0.8,
865
+ "learning_rate": 2.6779026217228464e-05,
866
+ "loss": 0.4018,
867
+ "step": 1430
868
+ },
869
+ {
870
+ "epoch": 0.81,
871
+ "learning_rate": 2.696629213483146e-05,
872
+ "loss": 0.4581,
873
+ "step": 1440
874
+ },
875
+ {
876
+ "epoch": 0.81,
877
+ "learning_rate": 2.715355805243446e-05,
878
+ "loss": 0.4194,
879
+ "step": 1450
880
+ },
881
+ {
882
+ "epoch": 0.82,
883
+ "learning_rate": 2.7340823970037456e-05,
884
+ "loss": 0.4169,
885
+ "step": 1460
886
+ },
887
+ {
888
+ "epoch": 0.83,
889
+ "learning_rate": 2.752808988764045e-05,
890
+ "loss": 0.4541,
891
+ "step": 1470
892
+ },
893
+ {
894
+ "epoch": 0.83,
895
+ "learning_rate": 2.7715355805243448e-05,
896
+ "loss": 0.255,
897
+ "step": 1480
898
+ },
899
+ {
900
+ "epoch": 0.84,
901
+ "learning_rate": 2.7902621722846445e-05,
902
+ "loss": 0.2751,
903
+ "step": 1490
904
+ },
905
+ {
906
+ "epoch": 0.84,
907
+ "learning_rate": 2.8089887640449443e-05,
908
+ "loss": 0.5636,
909
+ "step": 1500
910
+ },
911
+ {
912
+ "epoch": 0.85,
913
+ "learning_rate": 2.8277153558052437e-05,
914
+ "loss": 0.2853,
915
+ "step": 1510
916
+ },
917
+ {
918
+ "epoch": 0.85,
919
+ "learning_rate": 2.846441947565543e-05,
920
+ "loss": 0.4982,
921
+ "step": 1520
922
+ },
923
+ {
924
+ "epoch": 0.86,
925
+ "learning_rate": 2.8651685393258425e-05,
926
+ "loss": 0.1949,
927
+ "step": 1530
928
+ },
929
+ {
930
+ "epoch": 0.87,
931
+ "learning_rate": 2.8838951310861422e-05,
932
+ "loss": 0.2742,
933
+ "step": 1540
934
+ },
935
+ {
936
+ "epoch": 0.87,
937
+ "learning_rate": 2.902621722846442e-05,
938
+ "loss": 0.4109,
939
+ "step": 1550
940
+ },
941
+ {
942
+ "epoch": 0.88,
943
+ "learning_rate": 2.9213483146067417e-05,
944
+ "loss": 0.3774,
945
+ "step": 1560
946
+ },
947
+ {
948
+ "epoch": 0.88,
949
+ "learning_rate": 2.940074906367041e-05,
950
+ "loss": 0.281,
951
+ "step": 1570
952
+ },
953
+ {
954
+ "epoch": 0.89,
955
+ "learning_rate": 2.958801498127341e-05,
956
+ "loss": 0.4742,
957
+ "step": 1580
958
+ },
959
+ {
960
+ "epoch": 0.89,
961
+ "learning_rate": 2.9775280898876406e-05,
962
+ "loss": 0.4149,
963
+ "step": 1590
964
+ },
965
+ {
966
+ "epoch": 0.9,
967
+ "learning_rate": 2.9962546816479404e-05,
968
+ "loss": 0.3106,
969
+ "step": 1600
970
+ },
971
+ {
972
+ "epoch": 0.9,
973
+ "learning_rate": 3.01498127340824e-05,
974
+ "loss": 0.4442,
975
+ "step": 1610
976
+ },
977
+ {
978
+ "epoch": 0.91,
979
+ "learning_rate": 3.0337078651685396e-05,
980
+ "loss": 0.1809,
981
+ "step": 1620
982
+ },
983
+ {
984
+ "epoch": 0.92,
985
+ "learning_rate": 3.052434456928839e-05,
986
+ "loss": 0.4556,
987
+ "step": 1630
988
+ },
989
+ {
990
+ "epoch": 0.92,
991
+ "learning_rate": 3.0711610486891384e-05,
992
+ "loss": 0.3343,
993
+ "step": 1640
994
+ },
995
+ {
996
+ "epoch": 0.93,
997
+ "learning_rate": 3.089887640449438e-05,
998
+ "loss": 0.5095,
999
+ "step": 1650
1000
+ },
1001
+ {
1002
+ "epoch": 0.93,
1003
+ "learning_rate": 3.108614232209738e-05,
1004
+ "loss": 0.2521,
1005
+ "step": 1660
1006
+ },
1007
+ {
1008
+ "epoch": 0.94,
1009
+ "learning_rate": 3.1273408239700376e-05,
1010
+ "loss": 0.2387,
1011
+ "step": 1670
1012
+ },
1013
+ {
1014
+ "epoch": 0.94,
1015
+ "learning_rate": 3.1460674157303374e-05,
1016
+ "loss": 0.2964,
1017
+ "step": 1680
1018
+ },
1019
+ {
1020
+ "epoch": 0.95,
1021
+ "learning_rate": 3.164794007490637e-05,
1022
+ "loss": 0.2401,
1023
+ "step": 1690
1024
+ },
1025
+ {
1026
+ "epoch": 0.96,
1027
+ "learning_rate": 3.183520599250936e-05,
1028
+ "loss": 0.6202,
1029
+ "step": 1700
1030
+ },
1031
+ {
1032
+ "epoch": 0.96,
1033
+ "learning_rate": 3.202247191011236e-05,
1034
+ "loss": 0.3587,
1035
+ "step": 1710
1036
+ },
1037
+ {
1038
+ "epoch": 0.97,
1039
+ "learning_rate": 3.220973782771536e-05,
1040
+ "loss": 0.5592,
1041
+ "step": 1720
1042
+ },
1043
+ {
1044
+ "epoch": 0.97,
1045
+ "learning_rate": 3.2397003745318354e-05,
1046
+ "loss": 0.3333,
1047
+ "step": 1730
1048
+ },
1049
+ {
1050
+ "epoch": 0.98,
1051
+ "learning_rate": 3.258426966292135e-05,
1052
+ "loss": 0.3082,
1053
+ "step": 1740
1054
+ },
1055
+ {
1056
+ "epoch": 0.98,
1057
+ "learning_rate": 3.277153558052435e-05,
1058
+ "loss": 0.5302,
1059
+ "step": 1750
1060
+ },
1061
+ {
1062
+ "epoch": 0.99,
1063
+ "learning_rate": 3.295880149812734e-05,
1064
+ "loss": 0.3574,
1065
+ "step": 1760
1066
+ },
1067
+ {
1068
+ "epoch": 0.99,
1069
+ "learning_rate": 3.314606741573034e-05,
1070
+ "loss": 0.4965,
1071
+ "step": 1770
1072
+ },
1073
+ {
1074
+ "epoch": 1.0,
1075
+ "learning_rate": 3.3333333333333335e-05,
1076
+ "loss": 0.3548,
1077
+ "step": 1780
1078
+ },
1079
+ {
1080
+ "epoch": 1.0,
1081
+ "eval_accuracy": {
1082
+ "accuracy": 0.9118225217635496
1083
+ },
1084
+ "eval_f1": {
1085
+ "f1": 0.912598515170384
1086
+ },
1087
+ "eval_loss": 0.2847656011581421,
1088
+ "eval_precision": {
1089
+ "precision": 0.913326374297146
1090
+ },
1091
+ "eval_recall": {
1092
+ "recall": 0.9157022464716918
1093
+ },
1094
+ "eval_runtime": 123.7534,
1095
+ "eval_samples_per_second": 28.775,
1096
+ "eval_steps_per_second": 14.392,
1097
+ "step": 1780
1098
+ },
1099
+ {
1100
+ "epoch": 1.01,
1101
+ "learning_rate": 3.352059925093633e-05,
1102
+ "loss": 0.21,
1103
+ "step": 1790
1104
+ },
1105
+ {
1106
+ "epoch": 1.01,
1107
+ "learning_rate": 3.370786516853933e-05,
1108
+ "loss": 0.1671,
1109
+ "step": 1800
1110
+ },
1111
+ {
1112
+ "epoch": 1.02,
1113
+ "learning_rate": 3.389513108614232e-05,
1114
+ "loss": 0.2274,
1115
+ "step": 1810
1116
+ },
1117
+ {
1118
+ "epoch": 1.02,
1119
+ "learning_rate": 3.408239700374532e-05,
1120
+ "loss": 0.3181,
1121
+ "step": 1820
1122
+ },
1123
+ {
1124
+ "epoch": 1.03,
1125
+ "learning_rate": 3.4269662921348316e-05,
1126
+ "loss": 0.3126,
1127
+ "step": 1830
1128
+ },
1129
+ {
1130
+ "epoch": 1.03,
1131
+ "learning_rate": 3.445692883895131e-05,
1132
+ "loss": 0.1818,
1133
+ "step": 1840
1134
+ },
1135
+ {
1136
+ "epoch": 1.04,
1137
+ "learning_rate": 3.464419475655431e-05,
1138
+ "loss": 0.4245,
1139
+ "step": 1850
1140
+ },
1141
+ {
1142
+ "epoch": 1.04,
1143
+ "learning_rate": 3.483146067415731e-05,
1144
+ "loss": 0.1466,
1145
+ "step": 1860
1146
+ },
1147
+ {
1148
+ "epoch": 1.05,
1149
+ "learning_rate": 3.5018726591760305e-05,
1150
+ "loss": 0.4405,
1151
+ "step": 1870
1152
+ },
1153
+ {
1154
+ "epoch": 1.06,
1155
+ "learning_rate": 3.52059925093633e-05,
1156
+ "loss": 0.1791,
1157
+ "step": 1880
1158
+ },
1159
+ {
1160
+ "epoch": 1.06,
1161
+ "learning_rate": 3.5393258426966294e-05,
1162
+ "loss": 0.2027,
1163
+ "step": 1890
1164
+ },
1165
+ {
1166
+ "epoch": 1.07,
1167
+ "learning_rate": 3.558052434456929e-05,
1168
+ "loss": 0.5071,
1169
+ "step": 1900
1170
+ },
1171
+ {
1172
+ "epoch": 1.07,
1173
+ "learning_rate": 3.576779026217228e-05,
1174
+ "loss": 0.3631,
1175
+ "step": 1910
1176
+ },
1177
+ {
1178
+ "epoch": 1.08,
1179
+ "learning_rate": 3.595505617977528e-05,
1180
+ "loss": 0.3622,
1181
+ "step": 1920
1182
+ },
1183
+ {
1184
+ "epoch": 1.08,
1185
+ "learning_rate": 3.614232209737828e-05,
1186
+ "loss": 0.2463,
1187
+ "step": 1930
1188
+ },
1189
+ {
1190
+ "epoch": 1.09,
1191
+ "learning_rate": 3.6329588014981274e-05,
1192
+ "loss": 0.3801,
1193
+ "step": 1940
1194
+ },
1195
+ {
1196
+ "epoch": 1.1,
1197
+ "learning_rate": 3.651685393258427e-05,
1198
+ "loss": 0.3729,
1199
+ "step": 1950
1200
+ },
1201
+ {
1202
+ "epoch": 1.1,
1203
+ "learning_rate": 3.670411985018727e-05,
1204
+ "loss": 0.2867,
1205
+ "step": 1960
1206
+ },
1207
+ {
1208
+ "epoch": 1.11,
1209
+ "learning_rate": 3.689138576779027e-05,
1210
+ "loss": 0.6275,
1211
+ "step": 1970
1212
+ },
1213
+ {
1214
+ "epoch": 1.11,
1215
+ "learning_rate": 3.7078651685393264e-05,
1216
+ "loss": 0.3692,
1217
+ "step": 1980
1218
+ },
1219
+ {
1220
+ "epoch": 1.12,
1221
+ "learning_rate": 3.726591760299626e-05,
1222
+ "loss": 0.2219,
1223
+ "step": 1990
1224
+ },
1225
+ {
1226
+ "epoch": 1.12,
1227
+ "learning_rate": 3.745318352059925e-05,
1228
+ "loss": 0.5232,
1229
+ "step": 2000
1230
+ },
1231
+ {
1232
+ "epoch": 1.13,
1233
+ "learning_rate": 3.764044943820225e-05,
1234
+ "loss": 0.243,
1235
+ "step": 2010
1236
+ },
1237
+ {
1238
+ "epoch": 1.13,
1239
+ "learning_rate": 3.782771535580524e-05,
1240
+ "loss": 0.3025,
1241
+ "step": 2020
1242
+ },
1243
+ {
1244
+ "epoch": 1.14,
1245
+ "learning_rate": 3.801498127340824e-05,
1246
+ "loss": 0.3635,
1247
+ "step": 2030
1248
+ },
1249
+ {
1250
+ "epoch": 1.15,
1251
+ "learning_rate": 3.8202247191011236e-05,
1252
+ "loss": 0.2452,
1253
+ "step": 2040
1254
+ },
1255
+ {
1256
+ "epoch": 1.15,
1257
+ "learning_rate": 3.838951310861423e-05,
1258
+ "loss": 0.3114,
1259
+ "step": 2050
1260
+ },
1261
+ {
1262
+ "epoch": 1.16,
1263
+ "learning_rate": 3.857677902621723e-05,
1264
+ "loss": 0.3641,
1265
+ "step": 2060
1266
+ },
1267
+ {
1268
+ "epoch": 1.16,
1269
+ "learning_rate": 3.876404494382023e-05,
1270
+ "loss": 0.1288,
1271
+ "step": 2070
1272
+ },
1273
+ {
1274
+ "epoch": 1.17,
1275
+ "learning_rate": 3.8951310861423226e-05,
1276
+ "loss": 0.3868,
1277
+ "step": 2080
1278
+ },
1279
+ {
1280
+ "epoch": 1.17,
1281
+ "learning_rate": 3.913857677902622e-05,
1282
+ "loss": 0.1675,
1283
+ "step": 2090
1284
+ },
1285
+ {
1286
+ "epoch": 1.18,
1287
+ "learning_rate": 3.9325842696629214e-05,
1288
+ "loss": 0.5064,
1289
+ "step": 2100
1290
+ },
1291
+ {
1292
+ "epoch": 1.19,
1293
+ "learning_rate": 3.951310861423221e-05,
1294
+ "loss": 0.3433,
1295
+ "step": 2110
1296
+ },
1297
+ {
1298
+ "epoch": 1.19,
1299
+ "learning_rate": 3.970037453183521e-05,
1300
+ "loss": 0.4016,
1301
+ "step": 2120
1302
+ },
1303
+ {
1304
+ "epoch": 1.2,
1305
+ "learning_rate": 3.98876404494382e-05,
1306
+ "loss": 0.5303,
1307
+ "step": 2130
1308
+ },
1309
+ {
1310
+ "epoch": 1.2,
1311
+ "learning_rate": 4.00749063670412e-05,
1312
+ "loss": 0.1433,
1313
+ "step": 2140
1314
+ },
1315
+ {
1316
+ "epoch": 1.21,
1317
+ "learning_rate": 4.0262172284644194e-05,
1318
+ "loss": 0.3427,
1319
+ "step": 2150
1320
+ },
1321
+ {
1322
+ "epoch": 1.21,
1323
+ "learning_rate": 4.044943820224719e-05,
1324
+ "loss": 0.3481,
1325
+ "step": 2160
1326
+ },
1327
+ {
1328
+ "epoch": 1.22,
1329
+ "learning_rate": 4.063670411985019e-05,
1330
+ "loss": 0.3738,
1331
+ "step": 2170
1332
+ },
1333
+ {
1334
+ "epoch": 1.22,
1335
+ "learning_rate": 4.082397003745319e-05,
1336
+ "loss": 0.3195,
1337
+ "step": 2180
1338
+ },
1339
+ {
1340
+ "epoch": 1.23,
1341
+ "learning_rate": 4.1011235955056184e-05,
1342
+ "loss": 0.1761,
1343
+ "step": 2190
1344
+ },
1345
+ {
1346
+ "epoch": 1.24,
1347
+ "learning_rate": 4.119850187265918e-05,
1348
+ "loss": 0.3804,
1349
+ "step": 2200
1350
+ },
1351
+ {
1352
+ "epoch": 1.24,
1353
+ "learning_rate": 4.138576779026217e-05,
1354
+ "loss": 0.2417,
1355
+ "step": 2210
1356
+ },
1357
+ {
1358
+ "epoch": 1.25,
1359
+ "learning_rate": 4.157303370786517e-05,
1360
+ "loss": 0.5015,
1361
+ "step": 2220
1362
+ },
1363
+ {
1364
+ "epoch": 1.25,
1365
+ "learning_rate": 4.176029962546817e-05,
1366
+ "loss": 0.5068,
1367
+ "step": 2230
1368
+ },
1369
+ {
1370
+ "epoch": 1.26,
1371
+ "learning_rate": 4.1947565543071165e-05,
1372
+ "loss": 0.5047,
1373
+ "step": 2240
1374
+ },
1375
+ {
1376
+ "epoch": 1.26,
1377
+ "learning_rate": 4.2134831460674156e-05,
1378
+ "loss": 0.399,
1379
+ "step": 2250
1380
+ },
1381
+ {
1382
+ "epoch": 1.27,
1383
+ "learning_rate": 4.232209737827715e-05,
1384
+ "loss": 0.2417,
1385
+ "step": 2260
1386
+ },
1387
+ {
1388
+ "epoch": 1.28,
1389
+ "learning_rate": 4.250936329588015e-05,
1390
+ "loss": 0.2412,
1391
+ "step": 2270
1392
+ },
1393
+ {
1394
+ "epoch": 1.28,
1395
+ "learning_rate": 4.269662921348315e-05,
1396
+ "loss": 0.2515,
1397
+ "step": 2280
1398
+ },
1399
+ {
1400
+ "epoch": 1.29,
1401
+ "learning_rate": 4.2883895131086146e-05,
1402
+ "loss": 0.3938,
1403
+ "step": 2290
1404
+ },
1405
+ {
1406
+ "epoch": 1.29,
1407
+ "learning_rate": 4.307116104868914e-05,
1408
+ "loss": 0.6135,
1409
+ "step": 2300
1410
+ },
1411
+ {
1412
+ "epoch": 1.3,
1413
+ "learning_rate": 4.3258426966292134e-05,
1414
+ "loss": 0.4047,
1415
+ "step": 2310
1416
+ },
1417
+ {
1418
+ "epoch": 1.3,
1419
+ "learning_rate": 4.344569288389513e-05,
1420
+ "loss": 0.3186,
1421
+ "step": 2320
1422
+ },
1423
+ {
1424
+ "epoch": 1.31,
1425
+ "learning_rate": 4.363295880149813e-05,
1426
+ "loss": 0.2476,
1427
+ "step": 2330
1428
+ },
1429
+ {
1430
+ "epoch": 1.31,
1431
+ "learning_rate": 4.3820224719101126e-05,
1432
+ "loss": 0.4001,
1433
+ "step": 2340
1434
+ },
1435
+ {
1436
+ "epoch": 1.32,
1437
+ "learning_rate": 4.4007490636704124e-05,
1438
+ "loss": 0.3103,
1439
+ "step": 2350
1440
+ },
1441
+ {
1442
+ "epoch": 1.33,
1443
+ "learning_rate": 4.419475655430712e-05,
1444
+ "loss": 0.2314,
1445
+ "step": 2360
1446
+ },
1447
+ {
1448
+ "epoch": 1.33,
1449
+ "learning_rate": 4.438202247191011e-05,
1450
+ "loss": 0.1733,
1451
+ "step": 2370
1452
+ },
1453
+ {
1454
+ "epoch": 1.34,
1455
+ "learning_rate": 4.456928838951311e-05,
1456
+ "loss": 0.2724,
1457
+ "step": 2380
1458
+ },
1459
+ {
1460
+ "epoch": 1.34,
1461
+ "learning_rate": 4.475655430711611e-05,
1462
+ "loss": 0.216,
1463
+ "step": 2390
1464
+ },
1465
+ {
1466
+ "epoch": 1.35,
1467
+ "learning_rate": 4.4943820224719104e-05,
1468
+ "loss": 0.1945,
1469
+ "step": 2400
1470
+ },
1471
+ {
1472
+ "epoch": 1.35,
1473
+ "learning_rate": 4.51310861423221e-05,
1474
+ "loss": 0.2007,
1475
+ "step": 2410
1476
+ },
1477
+ {
1478
+ "epoch": 1.36,
1479
+ "learning_rate": 4.531835205992509e-05,
1480
+ "loss": 0.2947,
1481
+ "step": 2420
1482
+ },
1483
+ {
1484
+ "epoch": 1.37,
1485
+ "learning_rate": 4.550561797752809e-05,
1486
+ "loss": 0.4243,
1487
+ "step": 2430
1488
+ },
1489
+ {
1490
+ "epoch": 1.37,
1491
+ "learning_rate": 4.569288389513109e-05,
1492
+ "loss": 0.2945,
1493
+ "step": 2440
1494
+ },
1495
+ {
1496
+ "epoch": 1.38,
1497
+ "learning_rate": 4.5880149812734085e-05,
1498
+ "loss": 0.2609,
1499
+ "step": 2450
1500
+ },
1501
+ {
1502
+ "epoch": 1.38,
1503
+ "learning_rate": 4.606741573033708e-05,
1504
+ "loss": 0.4327,
1505
+ "step": 2460
1506
+ },
1507
+ {
1508
+ "epoch": 1.39,
1509
+ "learning_rate": 4.625468164794008e-05,
1510
+ "loss": 0.5988,
1511
+ "step": 2470
1512
+ },
1513
+ {
1514
+ "epoch": 1.39,
1515
+ "learning_rate": 4.644194756554308e-05,
1516
+ "loss": 0.1898,
1517
+ "step": 2480
1518
+ },
1519
+ {
1520
+ "epoch": 1.4,
1521
+ "learning_rate": 4.662921348314607e-05,
1522
+ "loss": 0.279,
1523
+ "step": 2490
1524
+ },
1525
+ {
1526
+ "epoch": 1.4,
1527
+ "learning_rate": 4.6816479400749066e-05,
1528
+ "loss": 0.2209,
1529
+ "step": 2500
1530
+ },
1531
+ {
1532
+ "epoch": 1.41,
1533
+ "learning_rate": 4.700374531835206e-05,
1534
+ "loss": 0.3227,
1535
+ "step": 2510
1536
+ },
1537
+ {
1538
+ "epoch": 1.42,
1539
+ "learning_rate": 4.719101123595506e-05,
1540
+ "loss": 0.2589,
1541
+ "step": 2520
1542
+ },
1543
+ {
1544
+ "epoch": 1.42,
1545
+ "learning_rate": 4.737827715355805e-05,
1546
+ "loss": 0.406,
1547
+ "step": 2530
1548
+ },
1549
+ {
1550
+ "epoch": 1.43,
1551
+ "learning_rate": 4.756554307116105e-05,
1552
+ "loss": 0.2744,
1553
+ "step": 2540
1554
+ },
1555
+ {
1556
+ "epoch": 1.43,
1557
+ "learning_rate": 4.7752808988764046e-05,
1558
+ "loss": 0.3877,
1559
+ "step": 2550
1560
+ },
1561
+ {
1562
+ "epoch": 1.44,
1563
+ "learning_rate": 4.7940074906367044e-05,
1564
+ "loss": 0.3208,
1565
+ "step": 2560
1566
+ },
1567
+ {
1568
+ "epoch": 1.44,
1569
+ "learning_rate": 4.812734082397004e-05,
1570
+ "loss": 0.1757,
1571
+ "step": 2570
1572
+ },
1573
+ {
1574
+ "epoch": 1.45,
1575
+ "learning_rate": 4.831460674157304e-05,
1576
+ "loss": 0.3472,
1577
+ "step": 2580
1578
+ },
1579
+ {
1580
+ "epoch": 1.46,
1581
+ "learning_rate": 4.8501872659176036e-05,
1582
+ "loss": 0.2122,
1583
+ "step": 2590
1584
+ },
1585
+ {
1586
+ "epoch": 1.46,
1587
+ "learning_rate": 4.8689138576779034e-05,
1588
+ "loss": 0.3728,
1589
+ "step": 2600
1590
+ },
1591
+ {
1592
+ "epoch": 1.47,
1593
+ "learning_rate": 4.8876404494382024e-05,
1594
+ "loss": 0.2358,
1595
+ "step": 2610
1596
+ },
1597
+ {
1598
+ "epoch": 1.47,
1599
+ "learning_rate": 4.906367041198502e-05,
1600
+ "loss": 0.2261,
1601
+ "step": 2620
1602
+ },
1603
+ {
1604
+ "epoch": 1.48,
1605
+ "learning_rate": 4.925093632958801e-05,
1606
+ "loss": 0.2761,
1607
+ "step": 2630
1608
+ },
1609
+ {
1610
+ "epoch": 1.48,
1611
+ "learning_rate": 4.943820224719101e-05,
1612
+ "loss": 0.2807,
1613
+ "step": 2640
1614
+ },
1615
+ {
1616
+ "epoch": 1.49,
1617
+ "learning_rate": 4.962546816479401e-05,
1618
+ "loss": 0.1926,
1619
+ "step": 2650
1620
+ },
1621
+ {
1622
+ "epoch": 1.49,
1623
+ "learning_rate": 4.9812734082397005e-05,
1624
+ "loss": 0.3198,
1625
+ "step": 2660
1626
+ },
1627
+ {
1628
+ "epoch": 1.5,
1629
+ "learning_rate": 5e-05,
1630
+ "loss": 0.2685,
1631
+ "step": 2670
1632
+ },
1633
+ {
1634
+ "epoch": 1.51,
1635
+ "learning_rate": 4.997919267582189e-05,
1636
+ "loss": 0.2652,
1637
+ "step": 2680
1638
+ },
1639
+ {
1640
+ "epoch": 1.51,
1641
+ "learning_rate": 4.995838535164378e-05,
1642
+ "loss": 0.5231,
1643
+ "step": 2690
1644
+ },
1645
+ {
1646
+ "epoch": 1.52,
1647
+ "learning_rate": 4.993757802746567e-05,
1648
+ "loss": 0.3469,
1649
+ "step": 2700
1650
+ },
1651
+ {
1652
+ "epoch": 1.52,
1653
+ "learning_rate": 4.991677070328756e-05,
1654
+ "loss": 0.2902,
1655
+ "step": 2710
1656
+ },
1657
+ {
1658
+ "epoch": 1.53,
1659
+ "learning_rate": 4.9895963379109454e-05,
1660
+ "loss": 0.2788,
1661
+ "step": 2720
1662
+ },
1663
+ {
1664
+ "epoch": 1.53,
1665
+ "learning_rate": 4.987515605493134e-05,
1666
+ "loss": 0.2888,
1667
+ "step": 2730
1668
+ },
1669
+ {
1670
+ "epoch": 1.54,
1671
+ "learning_rate": 4.9854348730753226e-05,
1672
+ "loss": 0.2221,
1673
+ "step": 2740
1674
+ },
1675
+ {
1676
+ "epoch": 1.54,
1677
+ "learning_rate": 4.983354140657512e-05,
1678
+ "loss": 0.283,
1679
+ "step": 2750
1680
+ },
1681
+ {
1682
+ "epoch": 1.55,
1683
+ "learning_rate": 4.9812734082397005e-05,
1684
+ "loss": 0.253,
1685
+ "step": 2760
1686
+ },
1687
+ {
1688
+ "epoch": 1.56,
1689
+ "learning_rate": 4.979192675821889e-05,
1690
+ "loss": 0.1786,
1691
+ "step": 2770
1692
+ },
1693
+ {
1694
+ "epoch": 1.56,
1695
+ "learning_rate": 4.9771119434040784e-05,
1696
+ "loss": 0.3892,
1697
+ "step": 2780
1698
+ },
1699
+ {
1700
+ "epoch": 1.57,
1701
+ "learning_rate": 4.975031210986267e-05,
1702
+ "loss": 0.1414,
1703
+ "step": 2790
1704
+ },
1705
+ {
1706
+ "epoch": 1.57,
1707
+ "learning_rate": 4.972950478568456e-05,
1708
+ "loss": 0.0931,
1709
+ "step": 2800
1710
+ },
1711
+ {
1712
+ "epoch": 1.58,
1713
+ "learning_rate": 4.9708697461506456e-05,
1714
+ "loss": 0.0699,
1715
+ "step": 2810
1716
+ },
1717
+ {
1718
+ "epoch": 1.58,
1719
+ "learning_rate": 4.968789013732834e-05,
1720
+ "loss": 0.3096,
1721
+ "step": 2820
1722
+ },
1723
+ {
1724
+ "epoch": 1.59,
1725
+ "learning_rate": 4.966708281315023e-05,
1726
+ "loss": 0.1819,
1727
+ "step": 2830
1728
+ },
1729
+ {
1730
+ "epoch": 1.6,
1731
+ "learning_rate": 4.964627548897212e-05,
1732
+ "loss": 0.4443,
1733
+ "step": 2840
1734
+ },
1735
+ {
1736
+ "epoch": 1.6,
1737
+ "learning_rate": 4.962546816479401e-05,
1738
+ "loss": 0.4339,
1739
+ "step": 2850
1740
+ },
1741
+ {
1742
+ "epoch": 1.61,
1743
+ "learning_rate": 4.96046608406159e-05,
1744
+ "loss": 0.2916,
1745
+ "step": 2860
1746
+ },
1747
+ {
1748
+ "epoch": 1.61,
1749
+ "learning_rate": 4.9583853516437787e-05,
1750
+ "loss": 0.1922,
1751
+ "step": 2870
1752
+ },
1753
+ {
1754
+ "epoch": 1.62,
1755
+ "learning_rate": 4.956304619225968e-05,
1756
+ "loss": 0.3508,
1757
+ "step": 2880
1758
+ },
1759
+ {
1760
+ "epoch": 1.62,
1761
+ "learning_rate": 4.954223886808157e-05,
1762
+ "loss": 0.2477,
1763
+ "step": 2890
1764
+ },
1765
+ {
1766
+ "epoch": 1.63,
1767
+ "learning_rate": 4.952143154390346e-05,
1768
+ "loss": 0.2358,
1769
+ "step": 2900
1770
+ },
1771
+ {
1772
+ "epoch": 1.63,
1773
+ "learning_rate": 4.9500624219725345e-05,
1774
+ "loss": 0.407,
1775
+ "step": 2910
1776
+ },
1777
+ {
1778
+ "epoch": 1.64,
1779
+ "learning_rate": 4.947981689554724e-05,
1780
+ "loss": 0.3142,
1781
+ "step": 2920
1782
+ },
1783
+ {
1784
+ "epoch": 1.65,
1785
+ "learning_rate": 4.9459009571369124e-05,
1786
+ "loss": 0.1523,
1787
+ "step": 2930
1788
+ },
1789
+ {
1790
+ "epoch": 1.65,
1791
+ "learning_rate": 4.943820224719101e-05,
1792
+ "loss": 0.3927,
1793
+ "step": 2940
1794
+ },
1795
+ {
1796
+ "epoch": 1.66,
1797
+ "learning_rate": 4.94173949230129e-05,
1798
+ "loss": 0.4299,
1799
+ "step": 2950
1800
+ },
1801
+ {
1802
+ "epoch": 1.66,
1803
+ "learning_rate": 4.9396587598834796e-05,
1804
+ "loss": 0.2918,
1805
+ "step": 2960
1806
+ },
1807
+ {
1808
+ "epoch": 1.67,
1809
+ "learning_rate": 4.937578027465668e-05,
1810
+ "loss": 0.4283,
1811
+ "step": 2970
1812
+ },
1813
+ {
1814
+ "epoch": 1.67,
1815
+ "learning_rate": 4.9354972950478575e-05,
1816
+ "loss": 0.156,
1817
+ "step": 2980
1818
+ },
1819
+ {
1820
+ "epoch": 1.68,
1821
+ "learning_rate": 4.933416562630046e-05,
1822
+ "loss": 0.1685,
1823
+ "step": 2990
1824
+ },
1825
+ {
1826
+ "epoch": 1.69,
1827
+ "learning_rate": 4.931335830212235e-05,
1828
+ "loss": 0.502,
1829
+ "step": 3000
1830
+ },
1831
+ {
1832
+ "epoch": 1.69,
1833
+ "learning_rate": 4.929255097794424e-05,
1834
+ "loss": 0.2719,
1835
+ "step": 3010
1836
+ },
1837
+ {
1838
+ "epoch": 1.7,
1839
+ "learning_rate": 4.9271743653766126e-05,
1840
+ "loss": 0.2534,
1841
+ "step": 3020
1842
+ },
1843
+ {
1844
+ "epoch": 1.7,
1845
+ "learning_rate": 4.925093632958801e-05,
1846
+ "loss": 0.2632,
1847
+ "step": 3030
1848
+ },
1849
+ {
1850
+ "epoch": 1.71,
1851
+ "learning_rate": 4.9230129005409905e-05,
1852
+ "loss": 0.5752,
1853
+ "step": 3040
1854
+ },
1855
+ {
1856
+ "epoch": 1.71,
1857
+ "learning_rate": 4.92093216812318e-05,
1858
+ "loss": 0.2694,
1859
+ "step": 3050
1860
+ },
1861
+ {
1862
+ "epoch": 1.72,
1863
+ "learning_rate": 4.9188514357053684e-05,
1864
+ "loss": 0.2839,
1865
+ "step": 3060
1866
+ },
1867
+ {
1868
+ "epoch": 1.72,
1869
+ "learning_rate": 4.916770703287558e-05,
1870
+ "loss": 0.1957,
1871
+ "step": 3070
1872
+ },
1873
+ {
1874
+ "epoch": 1.73,
1875
+ "learning_rate": 4.9146899708697464e-05,
1876
+ "loss": 0.2485,
1877
+ "step": 3080
1878
+ },
1879
+ {
1880
+ "epoch": 1.74,
1881
+ "learning_rate": 4.912609238451935e-05,
1882
+ "loss": 0.4064,
1883
+ "step": 3090
1884
+ },
1885
+ {
1886
+ "epoch": 1.74,
1887
+ "learning_rate": 4.910528506034124e-05,
1888
+ "loss": 0.3101,
1889
+ "step": 3100
1890
+ },
1891
+ {
1892
+ "epoch": 1.75,
1893
+ "learning_rate": 4.908447773616313e-05,
1894
+ "loss": 0.1904,
1895
+ "step": 3110
1896
+ },
1897
+ {
1898
+ "epoch": 1.75,
1899
+ "learning_rate": 4.906367041198502e-05,
1900
+ "loss": 0.1904,
1901
+ "step": 3120
1902
+ },
1903
+ {
1904
+ "epoch": 1.76,
1905
+ "learning_rate": 4.9042863087806915e-05,
1906
+ "loss": 0.1766,
1907
+ "step": 3130
1908
+ },
1909
+ {
1910
+ "epoch": 1.76,
1911
+ "learning_rate": 4.90220557636288e-05,
1912
+ "loss": 0.2133,
1913
+ "step": 3140
1914
+ },
1915
+ {
1916
+ "epoch": 1.77,
1917
+ "learning_rate": 4.900124843945069e-05,
1918
+ "loss": 0.2306,
1919
+ "step": 3150
1920
+ },
1921
+ {
1922
+ "epoch": 1.78,
1923
+ "learning_rate": 4.898044111527258e-05,
1924
+ "loss": 0.185,
1925
+ "step": 3160
1926
+ },
1927
+ {
1928
+ "epoch": 1.78,
1929
+ "learning_rate": 4.8959633791094466e-05,
1930
+ "loss": 0.2374,
1931
+ "step": 3170
1932
+ },
1933
+ {
1934
+ "epoch": 1.79,
1935
+ "learning_rate": 4.893882646691635e-05,
1936
+ "loss": 0.2548,
1937
+ "step": 3180
1938
+ },
1939
+ {
1940
+ "epoch": 1.79,
1941
+ "learning_rate": 4.8918019142738245e-05,
1942
+ "loss": 0.3173,
1943
+ "step": 3190
1944
+ },
1945
+ {
1946
+ "epoch": 1.8,
1947
+ "learning_rate": 4.889721181856013e-05,
1948
+ "loss": 0.4484,
1949
+ "step": 3200
1950
+ },
1951
+ {
1952
+ "epoch": 1.8,
1953
+ "learning_rate": 4.8876404494382024e-05,
1954
+ "loss": 0.4081,
1955
+ "step": 3210
1956
+ },
1957
+ {
1958
+ "epoch": 1.81,
1959
+ "learning_rate": 4.885559717020392e-05,
1960
+ "loss": 0.359,
1961
+ "step": 3220
1962
+ },
1963
+ {
1964
+ "epoch": 1.81,
1965
+ "learning_rate": 4.88347898460258e-05,
1966
+ "loss": 0.1906,
1967
+ "step": 3230
1968
+ },
1969
+ {
1970
+ "epoch": 1.82,
1971
+ "learning_rate": 4.8813982521847696e-05,
1972
+ "loss": 0.3136,
1973
+ "step": 3240
1974
+ },
1975
+ {
1976
+ "epoch": 1.83,
1977
+ "learning_rate": 4.879317519766958e-05,
1978
+ "loss": 0.2744,
1979
+ "step": 3250
1980
+ },
1981
+ {
1982
+ "epoch": 1.83,
1983
+ "learning_rate": 4.877236787349147e-05,
1984
+ "loss": 0.2581,
1985
+ "step": 3260
1986
+ },
1987
+ {
1988
+ "epoch": 1.84,
1989
+ "learning_rate": 4.875156054931336e-05,
1990
+ "loss": 0.3342,
1991
+ "step": 3270
1992
+ },
1993
+ {
1994
+ "epoch": 1.84,
1995
+ "learning_rate": 4.873075322513525e-05,
1996
+ "loss": 0.4871,
1997
+ "step": 3280
1998
+ },
1999
+ {
2000
+ "epoch": 1.85,
2001
+ "learning_rate": 4.870994590095714e-05,
2002
+ "loss": 0.2652,
2003
+ "step": 3290
2004
+ },
2005
+ {
2006
+ "epoch": 1.85,
2007
+ "learning_rate": 4.8689138576779034e-05,
2008
+ "loss": 0.203,
2009
+ "step": 3300
2010
+ },
2011
+ {
2012
+ "epoch": 1.86,
2013
+ "learning_rate": 4.866833125260092e-05,
2014
+ "loss": 0.1886,
2015
+ "step": 3310
2016
+ },
2017
+ {
2018
+ "epoch": 1.87,
2019
+ "learning_rate": 4.8647523928422806e-05,
2020
+ "loss": 0.2189,
2021
+ "step": 3320
2022
+ },
2023
+ {
2024
+ "epoch": 1.87,
2025
+ "learning_rate": 4.86267166042447e-05,
2026
+ "loss": 0.1404,
2027
+ "step": 3330
2028
+ },
2029
+ {
2030
+ "epoch": 1.88,
2031
+ "learning_rate": 4.8605909280066585e-05,
2032
+ "loss": 0.4393,
2033
+ "step": 3340
2034
+ },
2035
+ {
2036
+ "epoch": 1.88,
2037
+ "learning_rate": 4.858510195588847e-05,
2038
+ "loss": 0.2466,
2039
+ "step": 3350
2040
+ },
2041
+ {
2042
+ "epoch": 1.89,
2043
+ "learning_rate": 4.8564294631710364e-05,
2044
+ "loss": 0.2869,
2045
+ "step": 3360
2046
+ },
2047
+ {
2048
+ "epoch": 1.89,
2049
+ "learning_rate": 4.854348730753226e-05,
2050
+ "loss": 0.2776,
2051
+ "step": 3370
2052
+ },
2053
+ {
2054
+ "epoch": 1.9,
2055
+ "learning_rate": 4.852267998335414e-05,
2056
+ "loss": 0.5125,
2057
+ "step": 3380
2058
+ },
2059
+ {
2060
+ "epoch": 1.9,
2061
+ "learning_rate": 4.8501872659176036e-05,
2062
+ "loss": 0.2889,
2063
+ "step": 3390
2064
+ },
2065
+ {
2066
+ "epoch": 1.91,
2067
+ "learning_rate": 4.848106533499792e-05,
2068
+ "loss": 0.3192,
2069
+ "step": 3400
2070
+ },
2071
+ {
2072
+ "epoch": 1.92,
2073
+ "learning_rate": 4.846025801081981e-05,
2074
+ "loss": 0.2064,
2075
+ "step": 3410
2076
+ },
2077
+ {
2078
+ "epoch": 1.92,
2079
+ "learning_rate": 4.84394506866417e-05,
2080
+ "loss": 0.3253,
2081
+ "step": 3420
2082
+ },
2083
+ {
2084
+ "epoch": 1.93,
2085
+ "learning_rate": 4.841864336246359e-05,
2086
+ "loss": 0.0968,
2087
+ "step": 3430
2088
+ },
2089
+ {
2090
+ "epoch": 1.93,
2091
+ "learning_rate": 4.8397836038285474e-05,
2092
+ "loss": 0.1386,
2093
+ "step": 3440
2094
+ },
2095
+ {
2096
+ "epoch": 1.94,
2097
+ "learning_rate": 4.8377028714107367e-05,
2098
+ "loss": 0.3869,
2099
+ "step": 3450
2100
+ },
2101
+ {
2102
+ "epoch": 1.94,
2103
+ "learning_rate": 4.835622138992926e-05,
2104
+ "loss": 0.2375,
2105
+ "step": 3460
2106
+ },
2107
+ {
2108
+ "epoch": 1.95,
2109
+ "learning_rate": 4.8335414065751146e-05,
2110
+ "loss": 0.3227,
2111
+ "step": 3470
2112
+ },
2113
+ {
2114
+ "epoch": 1.96,
2115
+ "learning_rate": 4.831460674157304e-05,
2116
+ "loss": 0.3983,
2117
+ "step": 3480
2118
+ },
2119
+ {
2120
+ "epoch": 1.96,
2121
+ "learning_rate": 4.8293799417394925e-05,
2122
+ "loss": 0.3662,
2123
+ "step": 3490
2124
+ },
2125
+ {
2126
+ "epoch": 1.97,
2127
+ "learning_rate": 4.827299209321681e-05,
2128
+ "loss": 0.3329,
2129
+ "step": 3500
2130
+ },
2131
+ {
2132
+ "epoch": 1.97,
2133
+ "learning_rate": 4.8252184769038704e-05,
2134
+ "loss": 0.3773,
2135
+ "step": 3510
2136
+ },
2137
+ {
2138
+ "epoch": 1.98,
2139
+ "learning_rate": 4.823137744486059e-05,
2140
+ "loss": 0.1765,
2141
+ "step": 3520
2142
+ },
2143
+ {
2144
+ "epoch": 1.98,
2145
+ "learning_rate": 4.821057012068248e-05,
2146
+ "loss": 0.4403,
2147
+ "step": 3530
2148
+ },
2149
+ {
2150
+ "epoch": 1.99,
2151
+ "learning_rate": 4.8189762796504376e-05,
2152
+ "loss": 0.2278,
2153
+ "step": 3540
2154
+ },
2155
+ {
2156
+ "epoch": 1.99,
2157
+ "learning_rate": 4.816895547232626e-05,
2158
+ "loss": 0.1792,
2159
+ "step": 3550
2160
+ },
2161
+ {
2162
+ "epoch": 2.0,
2163
+ "learning_rate": 4.814814814814815e-05,
2164
+ "loss": 0.1718,
2165
+ "step": 3560
2166
+ },
2167
+ {
2168
+ "epoch": 2.0,
2169
+ "eval_accuracy": {
2170
+ "accuracy": 0.9005897219882055
2171
+ },
2172
+ "eval_f1": {
2173
+ "f1": 0.9021520907258462
2174
+ },
2175
+ "eval_loss": 0.34348464012145996,
2176
+ "eval_precision": {
2177
+ "precision": 0.9071588887385811
2178
+ },
2179
+ "eval_recall": {
2180
+ "recall": 0.9088734326741875
2181
+ },
2182
+ "eval_runtime": 93.9787,
2183
+ "eval_samples_per_second": 37.892,
2184
+ "eval_steps_per_second": 18.951,
2185
+ "step": 3560
2186
+ },
2187
+ {
2188
+ "epoch": 2.01,
2189
+ "learning_rate": 4.812734082397004e-05,
2190
+ "loss": 0.4564,
2191
+ "step": 3570
2192
+ },
2193
+ {
2194
+ "epoch": 2.01,
2195
+ "learning_rate": 4.810653349979193e-05,
2196
+ "loss": 0.2619,
2197
+ "step": 3580
2198
+ },
2199
+ {
2200
+ "epoch": 2.02,
2201
+ "learning_rate": 4.808572617561382e-05,
2202
+ "loss": 0.1274,
2203
+ "step": 3590
2204
+ },
2205
+ {
2206
+ "epoch": 2.02,
2207
+ "learning_rate": 4.8064918851435706e-05,
2208
+ "loss": 0.2,
2209
+ "step": 3600
2210
+ },
2211
+ {
2212
+ "epoch": 2.03,
2213
+ "learning_rate": 4.804411152725759e-05,
2214
+ "loss": 0.1242,
2215
+ "step": 3610
2216
+ },
2217
+ {
2218
+ "epoch": 2.03,
2219
+ "learning_rate": 4.8023304203079485e-05,
2220
+ "loss": 0.1887,
2221
+ "step": 3620
2222
+ },
2223
+ {
2224
+ "epoch": 2.04,
2225
+ "learning_rate": 4.800249687890138e-05,
2226
+ "loss": 0.2478,
2227
+ "step": 3630
2228
+ },
2229
+ {
2230
+ "epoch": 2.04,
2231
+ "learning_rate": 4.7981689554723265e-05,
2232
+ "loss": 0.0844,
2233
+ "step": 3640
2234
+ },
2235
+ {
2236
+ "epoch": 2.05,
2237
+ "learning_rate": 4.796088223054516e-05,
2238
+ "loss": 0.3901,
2239
+ "step": 3650
2240
+ },
2241
+ {
2242
+ "epoch": 2.06,
2243
+ "learning_rate": 4.7940074906367044e-05,
2244
+ "loss": 0.2306,
2245
+ "step": 3660
2246
+ },
2247
+ {
2248
+ "epoch": 2.06,
2249
+ "learning_rate": 4.791926758218893e-05,
2250
+ "loss": 0.281,
2251
+ "step": 3670
2252
+ },
2253
+ {
2254
+ "epoch": 2.07,
2255
+ "learning_rate": 4.789846025801082e-05,
2256
+ "loss": 0.2839,
2257
+ "step": 3680
2258
+ },
2259
+ {
2260
+ "epoch": 2.07,
2261
+ "learning_rate": 4.787765293383271e-05,
2262
+ "loss": 0.1552,
2263
+ "step": 3690
2264
+ },
2265
+ {
2266
+ "epoch": 2.08,
2267
+ "learning_rate": 4.78568456096546e-05,
2268
+ "loss": 0.2969,
2269
+ "step": 3700
2270
+ },
2271
+ {
2272
+ "epoch": 2.08,
2273
+ "learning_rate": 4.7836038285476495e-05,
2274
+ "loss": 0.3101,
2275
+ "step": 3710
2276
+ },
2277
+ {
2278
+ "epoch": 2.09,
2279
+ "learning_rate": 4.781523096129838e-05,
2280
+ "loss": 0.117,
2281
+ "step": 3720
2282
+ },
2283
+ {
2284
+ "epoch": 2.1,
2285
+ "learning_rate": 4.779442363712027e-05,
2286
+ "loss": 0.191,
2287
+ "step": 3730
2288
+ },
2289
+ {
2290
+ "epoch": 2.1,
2291
+ "learning_rate": 4.777361631294216e-05,
2292
+ "loss": 0.1365,
2293
+ "step": 3740
2294
+ },
2295
+ {
2296
+ "epoch": 2.11,
2297
+ "learning_rate": 4.7752808988764046e-05,
2298
+ "loss": 0.1637,
2299
+ "step": 3750
2300
+ },
2301
+ {
2302
+ "epoch": 2.11,
2303
+ "learning_rate": 4.773200166458593e-05,
2304
+ "loss": 0.3449,
2305
+ "step": 3760
2306
+ },
2307
+ {
2308
+ "epoch": 2.12,
2309
+ "learning_rate": 4.7711194340407825e-05,
2310
+ "loss": 0.5397,
2311
+ "step": 3770
2312
+ },
2313
+ {
2314
+ "epoch": 2.12,
2315
+ "learning_rate": 4.769038701622972e-05,
2316
+ "loss": 0.4197,
2317
+ "step": 3780
2318
+ },
2319
+ {
2320
+ "epoch": 2.13,
2321
+ "learning_rate": 4.7669579692051604e-05,
2322
+ "loss": 0.1912,
2323
+ "step": 3790
2324
+ },
2325
+ {
2326
+ "epoch": 2.13,
2327
+ "learning_rate": 4.76487723678735e-05,
2328
+ "loss": 0.1763,
2329
+ "step": 3800
2330
+ },
2331
+ {
2332
+ "epoch": 2.14,
2333
+ "learning_rate": 4.7627965043695383e-05,
2334
+ "loss": 0.1706,
2335
+ "step": 3810
2336
+ },
2337
+ {
2338
+ "epoch": 2.15,
2339
+ "learning_rate": 4.760715771951727e-05,
2340
+ "loss": 0.4229,
2341
+ "step": 3820
2342
+ },
2343
+ {
2344
+ "epoch": 2.15,
2345
+ "learning_rate": 4.758635039533916e-05,
2346
+ "loss": 0.2296,
2347
+ "step": 3830
2348
+ },
2349
+ {
2350
+ "epoch": 2.16,
2351
+ "learning_rate": 4.756554307116105e-05,
2352
+ "loss": 0.2251,
2353
+ "step": 3840
2354
+ },
2355
+ {
2356
+ "epoch": 2.16,
2357
+ "learning_rate": 4.7544735746982935e-05,
2358
+ "loss": 0.0553,
2359
+ "step": 3850
2360
+ },
2361
+ {
2362
+ "epoch": 2.17,
2363
+ "learning_rate": 4.752392842280483e-05,
2364
+ "loss": 0.2203,
2365
+ "step": 3860
2366
+ },
2367
+ {
2368
+ "epoch": 2.17,
2369
+ "learning_rate": 4.750312109862672e-05,
2370
+ "loss": 0.0682,
2371
+ "step": 3870
2372
+ },
2373
+ {
2374
+ "epoch": 2.18,
2375
+ "learning_rate": 4.748231377444861e-05,
2376
+ "loss": 0.2284,
2377
+ "step": 3880
2378
+ },
2379
+ {
2380
+ "epoch": 2.19,
2381
+ "learning_rate": 4.74615064502705e-05,
2382
+ "loss": 0.4361,
2383
+ "step": 3890
2384
+ },
2385
+ {
2386
+ "epoch": 2.19,
2387
+ "learning_rate": 4.7440699126092386e-05,
2388
+ "loss": 0.1676,
2389
+ "step": 3900
2390
+ },
2391
+ {
2392
+ "epoch": 2.2,
2393
+ "learning_rate": 4.741989180191427e-05,
2394
+ "loss": 0.0995,
2395
+ "step": 3910
2396
+ },
2397
+ {
2398
+ "epoch": 2.2,
2399
+ "learning_rate": 4.7399084477736165e-05,
2400
+ "loss": 0.2302,
2401
+ "step": 3920
2402
+ },
2403
+ {
2404
+ "epoch": 2.21,
2405
+ "learning_rate": 4.737827715355805e-05,
2406
+ "loss": 0.1351,
2407
+ "step": 3930
2408
+ },
2409
+ {
2410
+ "epoch": 2.21,
2411
+ "learning_rate": 4.7357469829379944e-05,
2412
+ "loss": 0.2093,
2413
+ "step": 3940
2414
+ },
2415
+ {
2416
+ "epoch": 2.22,
2417
+ "learning_rate": 4.733666250520184e-05,
2418
+ "loss": 0.0935,
2419
+ "step": 3950
2420
+ },
2421
+ {
2422
+ "epoch": 2.22,
2423
+ "learning_rate": 4.731585518102372e-05,
2424
+ "loss": 0.2482,
2425
+ "step": 3960
2426
+ },
2427
+ {
2428
+ "epoch": 2.23,
2429
+ "learning_rate": 4.7295047856845616e-05,
2430
+ "loss": 0.142,
2431
+ "step": 3970
2432
+ },
2433
+ {
2434
+ "epoch": 2.24,
2435
+ "learning_rate": 4.72742405326675e-05,
2436
+ "loss": 0.3728,
2437
+ "step": 3980
2438
+ },
2439
+ {
2440
+ "epoch": 2.24,
2441
+ "learning_rate": 4.725343320848939e-05,
2442
+ "loss": 0.3502,
2443
+ "step": 3990
2444
+ },
2445
+ {
2446
+ "epoch": 2.25,
2447
+ "learning_rate": 4.723262588431128e-05,
2448
+ "loss": 0.2604,
2449
+ "step": 4000
2450
+ },
2451
+ {
2452
+ "epoch": 2.25,
2453
+ "learning_rate": 4.721181856013317e-05,
2454
+ "loss": 0.0286,
2455
+ "step": 4010
2456
+ },
2457
+ {
2458
+ "epoch": 2.26,
2459
+ "learning_rate": 4.719101123595506e-05,
2460
+ "loss": 0.2325,
2461
+ "step": 4020
2462
+ },
2463
+ {
2464
+ "epoch": 2.26,
2465
+ "learning_rate": 4.7170203911776953e-05,
2466
+ "loss": 0.3871,
2467
+ "step": 4030
2468
+ },
2469
+ {
2470
+ "epoch": 2.27,
2471
+ "learning_rate": 4.714939658759884e-05,
2472
+ "loss": 0.3771,
2473
+ "step": 4040
2474
+ },
2475
+ {
2476
+ "epoch": 2.28,
2477
+ "learning_rate": 4.7128589263420726e-05,
2478
+ "loss": 0.179,
2479
+ "step": 4050
2480
+ },
2481
+ {
2482
+ "epoch": 2.28,
2483
+ "learning_rate": 4.710778193924262e-05,
2484
+ "loss": 0.1487,
2485
+ "step": 4060
2486
+ },
2487
+ {
2488
+ "epoch": 2.29,
2489
+ "learning_rate": 4.7086974615064505e-05,
2490
+ "loss": 0.0621,
2491
+ "step": 4070
2492
+ },
2493
+ {
2494
+ "epoch": 2.29,
2495
+ "learning_rate": 4.706616729088639e-05,
2496
+ "loss": 0.3428,
2497
+ "step": 4080
2498
+ },
2499
+ {
2500
+ "epoch": 2.3,
2501
+ "learning_rate": 4.7045359966708284e-05,
2502
+ "loss": 0.4521,
2503
+ "step": 4090
2504
+ },
2505
+ {
2506
+ "epoch": 2.3,
2507
+ "learning_rate": 4.702455264253017e-05,
2508
+ "loss": 0.3151,
2509
+ "step": 4100
2510
+ },
2511
+ {
2512
+ "epoch": 2.31,
2513
+ "learning_rate": 4.700374531835206e-05,
2514
+ "loss": 0.4056,
2515
+ "step": 4110
2516
+ },
2517
+ {
2518
+ "epoch": 2.31,
2519
+ "learning_rate": 4.6982937994173956e-05,
2520
+ "loss": 0.289,
2521
+ "step": 4120
2522
+ },
2523
+ {
2524
+ "epoch": 2.32,
2525
+ "learning_rate": 4.696213066999584e-05,
2526
+ "loss": 0.2563,
2527
+ "step": 4130
2528
+ },
2529
+ {
2530
+ "epoch": 2.33,
2531
+ "learning_rate": 4.694132334581773e-05,
2532
+ "loss": 0.1494,
2533
+ "step": 4140
2534
+ },
2535
+ {
2536
+ "epoch": 2.33,
2537
+ "learning_rate": 4.692051602163962e-05,
2538
+ "loss": 0.2708,
2539
+ "step": 4150
2540
+ },
2541
+ {
2542
+ "epoch": 2.34,
2543
+ "learning_rate": 4.689970869746151e-05,
2544
+ "loss": 0.1988,
2545
+ "step": 4160
2546
+ },
2547
+ {
2548
+ "epoch": 2.34,
2549
+ "learning_rate": 4.6878901373283394e-05,
2550
+ "loss": 0.0919,
2551
+ "step": 4170
2552
+ },
2553
+ {
2554
+ "epoch": 2.35,
2555
+ "learning_rate": 4.6858094049105286e-05,
2556
+ "loss": 0.1862,
2557
+ "step": 4180
2558
+ },
2559
+ {
2560
+ "epoch": 2.35,
2561
+ "learning_rate": 4.683728672492718e-05,
2562
+ "loss": 0.0622,
2563
+ "step": 4190
2564
+ },
2565
+ {
2566
+ "epoch": 2.36,
2567
+ "learning_rate": 4.6816479400749066e-05,
2568
+ "loss": 0.1565,
2569
+ "step": 4200
2570
+ },
2571
+ {
2572
+ "epoch": 2.37,
2573
+ "learning_rate": 4.679567207657096e-05,
2574
+ "loss": 0.1914,
2575
+ "step": 4210
2576
+ },
2577
+ {
2578
+ "epoch": 2.37,
2579
+ "learning_rate": 4.6774864752392845e-05,
2580
+ "loss": 0.1417,
2581
+ "step": 4220
2582
+ },
2583
+ {
2584
+ "epoch": 2.38,
2585
+ "learning_rate": 4.675405742821473e-05,
2586
+ "loss": 0.2142,
2587
+ "step": 4230
2588
+ },
2589
+ {
2590
+ "epoch": 2.38,
2591
+ "learning_rate": 4.6733250104036624e-05,
2592
+ "loss": 0.2943,
2593
+ "step": 4240
2594
+ },
2595
+ {
2596
+ "epoch": 2.39,
2597
+ "learning_rate": 4.671244277985851e-05,
2598
+ "loss": 0.0698,
2599
+ "step": 4250
2600
+ },
2601
+ {
2602
+ "epoch": 2.39,
2603
+ "learning_rate": 4.6691635455680396e-05,
2604
+ "loss": 0.172,
2605
+ "step": 4260
2606
+ },
2607
+ {
2608
+ "epoch": 2.4,
2609
+ "learning_rate": 4.667082813150229e-05,
2610
+ "loss": 0.3883,
2611
+ "step": 4270
2612
+ },
2613
+ {
2614
+ "epoch": 2.4,
2615
+ "learning_rate": 4.665002080732418e-05,
2616
+ "loss": 0.2394,
2617
+ "step": 4280
2618
+ },
2619
+ {
2620
+ "epoch": 2.41,
2621
+ "learning_rate": 4.662921348314607e-05,
2622
+ "loss": 0.0763,
2623
+ "step": 4290
2624
+ },
2625
+ {
2626
+ "epoch": 2.42,
2627
+ "learning_rate": 4.660840615896796e-05,
2628
+ "loss": 0.2724,
2629
+ "step": 4300
2630
+ },
2631
+ {
2632
+ "epoch": 2.42,
2633
+ "learning_rate": 4.658759883478985e-05,
2634
+ "loss": 0.1771,
2635
+ "step": 4310
2636
+ },
2637
+ {
2638
+ "epoch": 2.43,
2639
+ "learning_rate": 4.656679151061174e-05,
2640
+ "loss": 0.1131,
2641
+ "step": 4320
2642
+ },
2643
+ {
2644
+ "epoch": 2.43,
2645
+ "learning_rate": 4.6545984186433626e-05,
2646
+ "loss": 0.2075,
2647
+ "step": 4330
2648
+ },
2649
+ {
2650
+ "epoch": 2.44,
2651
+ "learning_rate": 4.652517686225551e-05,
2652
+ "loss": 0.1966,
2653
+ "step": 4340
2654
+ },
2655
+ {
2656
+ "epoch": 2.44,
2657
+ "learning_rate": 4.6504369538077405e-05,
2658
+ "loss": 0.1479,
2659
+ "step": 4350
2660
+ },
2661
+ {
2662
+ "epoch": 2.45,
2663
+ "learning_rate": 4.64835622138993e-05,
2664
+ "loss": 0.1561,
2665
+ "step": 4360
2666
+ },
2667
+ {
2668
+ "epoch": 2.46,
2669
+ "learning_rate": 4.6462754889721184e-05,
2670
+ "loss": 0.2182,
2671
+ "step": 4370
2672
+ },
2673
+ {
2674
+ "epoch": 2.46,
2675
+ "learning_rate": 4.644194756554308e-05,
2676
+ "loss": 0.2924,
2677
+ "step": 4380
2678
+ },
2679
+ {
2680
+ "epoch": 2.47,
2681
+ "learning_rate": 4.6421140241364964e-05,
2682
+ "loss": 0.1758,
2683
+ "step": 4390
2684
+ },
2685
+ {
2686
+ "epoch": 2.47,
2687
+ "learning_rate": 4.640033291718685e-05,
2688
+ "loss": 0.2548,
2689
+ "step": 4400
2690
+ },
2691
+ {
2692
+ "epoch": 2.48,
2693
+ "learning_rate": 4.637952559300874e-05,
2694
+ "loss": 0.322,
2695
+ "step": 4410
2696
+ },
2697
+ {
2698
+ "epoch": 2.48,
2699
+ "learning_rate": 4.635871826883063e-05,
2700
+ "loss": 0.1558,
2701
+ "step": 4420
2702
+ },
2703
+ {
2704
+ "epoch": 2.49,
2705
+ "learning_rate": 4.633791094465252e-05,
2706
+ "loss": 0.3469,
2707
+ "step": 4430
2708
+ },
2709
+ {
2710
+ "epoch": 2.49,
2711
+ "learning_rate": 4.6317103620474415e-05,
2712
+ "loss": 0.0522,
2713
+ "step": 4440
2714
+ },
2715
+ {
2716
+ "epoch": 2.5,
2717
+ "learning_rate": 4.62962962962963e-05,
2718
+ "loss": 0.2128,
2719
+ "step": 4450
2720
+ },
2721
+ {
2722
+ "epoch": 2.51,
2723
+ "learning_rate": 4.627548897211819e-05,
2724
+ "loss": 0.1909,
2725
+ "step": 4460
2726
+ },
2727
+ {
2728
+ "epoch": 2.51,
2729
+ "learning_rate": 4.625468164794008e-05,
2730
+ "loss": 0.3989,
2731
+ "step": 4470
2732
+ },
2733
+ {
2734
+ "epoch": 2.52,
2735
+ "learning_rate": 4.6233874323761966e-05,
2736
+ "loss": 0.0935,
2737
+ "step": 4480
2738
+ },
2739
+ {
2740
+ "epoch": 2.52,
2741
+ "learning_rate": 4.621306699958385e-05,
2742
+ "loss": 0.2124,
2743
+ "step": 4490
2744
+ },
2745
+ {
2746
+ "epoch": 2.53,
2747
+ "learning_rate": 4.6192259675405745e-05,
2748
+ "loss": 0.3213,
2749
+ "step": 4500
2750
+ },
2751
+ {
2752
+ "epoch": 2.53,
2753
+ "learning_rate": 4.617145235122763e-05,
2754
+ "loss": 0.0931,
2755
+ "step": 4510
2756
+ },
2757
+ {
2758
+ "epoch": 2.54,
2759
+ "learning_rate": 4.6150645027049524e-05,
2760
+ "loss": 0.1241,
2761
+ "step": 4520
2762
+ },
2763
+ {
2764
+ "epoch": 2.54,
2765
+ "learning_rate": 4.612983770287142e-05,
2766
+ "loss": 0.1819,
2767
+ "step": 4530
2768
+ },
2769
+ {
2770
+ "epoch": 2.55,
2771
+ "learning_rate": 4.61090303786933e-05,
2772
+ "loss": 0.1545,
2773
+ "step": 4540
2774
+ },
2775
+ {
2776
+ "epoch": 2.56,
2777
+ "learning_rate": 4.608822305451519e-05,
2778
+ "loss": 0.3003,
2779
+ "step": 4550
2780
+ },
2781
+ {
2782
+ "epoch": 2.56,
2783
+ "learning_rate": 4.606741573033708e-05,
2784
+ "loss": 0.2651,
2785
+ "step": 4560
2786
+ },
2787
+ {
2788
+ "epoch": 2.57,
2789
+ "learning_rate": 4.604660840615897e-05,
2790
+ "loss": 0.269,
2791
+ "step": 4570
2792
+ },
2793
+ {
2794
+ "epoch": 2.57,
2795
+ "learning_rate": 4.6025801081980855e-05,
2796
+ "loss": 0.3127,
2797
+ "step": 4580
2798
+ },
2799
+ {
2800
+ "epoch": 2.58,
2801
+ "learning_rate": 4.600499375780275e-05,
2802
+ "loss": 0.0244,
2803
+ "step": 4590
2804
+ },
2805
+ {
2806
+ "epoch": 2.58,
2807
+ "learning_rate": 4.598418643362464e-05,
2808
+ "loss": 0.1026,
2809
+ "step": 4600
2810
+ },
2811
+ {
2812
+ "epoch": 2.59,
2813
+ "learning_rate": 4.596337910944653e-05,
2814
+ "loss": 0.3314,
2815
+ "step": 4610
2816
+ },
2817
+ {
2818
+ "epoch": 2.6,
2819
+ "learning_rate": 4.594257178526842e-05,
2820
+ "loss": 0.3053,
2821
+ "step": 4620
2822
+ },
2823
+ {
2824
+ "epoch": 2.6,
2825
+ "learning_rate": 4.5921764461090306e-05,
2826
+ "loss": 0.2489,
2827
+ "step": 4630
2828
+ },
2829
+ {
2830
+ "epoch": 2.61,
2831
+ "learning_rate": 4.590095713691219e-05,
2832
+ "loss": 0.0668,
2833
+ "step": 4640
2834
+ },
2835
+ {
2836
+ "epoch": 2.61,
2837
+ "learning_rate": 4.5880149812734085e-05,
2838
+ "loss": 0.1628,
2839
+ "step": 4650
2840
+ },
2841
+ {
2842
+ "epoch": 2.62,
2843
+ "learning_rate": 4.585934248855597e-05,
2844
+ "loss": 0.064,
2845
+ "step": 4660
2846
+ },
2847
+ {
2848
+ "epoch": 2.62,
2849
+ "learning_rate": 4.583853516437786e-05,
2850
+ "loss": 0.1781,
2851
+ "step": 4670
2852
+ },
2853
+ {
2854
+ "epoch": 2.63,
2855
+ "learning_rate": 4.581772784019975e-05,
2856
+ "loss": 0.1673,
2857
+ "step": 4680
2858
+ },
2859
+ {
2860
+ "epoch": 2.63,
2861
+ "learning_rate": 4.579692051602164e-05,
2862
+ "loss": 0.0803,
2863
+ "step": 4690
2864
+ },
2865
+ {
2866
+ "epoch": 2.64,
2867
+ "learning_rate": 4.5776113191843536e-05,
2868
+ "loss": 0.2954,
2869
+ "step": 4700
2870
+ },
2871
+ {
2872
+ "epoch": 2.65,
2873
+ "learning_rate": 4.575530586766542e-05,
2874
+ "loss": 0.3284,
2875
+ "step": 4710
2876
+ },
2877
+ {
2878
+ "epoch": 2.65,
2879
+ "learning_rate": 4.573449854348731e-05,
2880
+ "loss": 0.199,
2881
+ "step": 4720
2882
+ },
2883
+ {
2884
+ "epoch": 2.66,
2885
+ "learning_rate": 4.57136912193092e-05,
2886
+ "loss": 0.0978,
2887
+ "step": 4730
2888
+ },
2889
+ {
2890
+ "epoch": 2.66,
2891
+ "learning_rate": 4.569288389513109e-05,
2892
+ "loss": 0.2259,
2893
+ "step": 4740
2894
+ },
2895
+ {
2896
+ "epoch": 2.67,
2897
+ "learning_rate": 4.5672076570952974e-05,
2898
+ "loss": 0.1172,
2899
+ "step": 4750
2900
+ },
2901
+ {
2902
+ "epoch": 2.67,
2903
+ "learning_rate": 4.5651269246774867e-05,
2904
+ "loss": 0.386,
2905
+ "step": 4760
2906
+ },
2907
+ {
2908
+ "epoch": 2.68,
2909
+ "learning_rate": 4.563046192259676e-05,
2910
+ "loss": 0.2982,
2911
+ "step": 4770
2912
+ },
2913
+ {
2914
+ "epoch": 2.69,
2915
+ "learning_rate": 4.5609654598418646e-05,
2916
+ "loss": 0.1203,
2917
+ "step": 4780
2918
+ },
2919
+ {
2920
+ "epoch": 2.69,
2921
+ "learning_rate": 4.558884727424054e-05,
2922
+ "loss": 0.0712,
2923
+ "step": 4790
2924
+ },
2925
+ {
2926
+ "epoch": 2.7,
2927
+ "learning_rate": 4.5568039950062425e-05,
2928
+ "loss": 0.0417,
2929
+ "step": 4800
2930
+ },
2931
+ {
2932
+ "epoch": 2.7,
2933
+ "learning_rate": 4.554723262588431e-05,
2934
+ "loss": 0.2212,
2935
+ "step": 4810
2936
+ },
2937
+ {
2938
+ "epoch": 2.71,
2939
+ "learning_rate": 4.5526425301706204e-05,
2940
+ "loss": 0.2469,
2941
+ "step": 4820
2942
+ },
2943
+ {
2944
+ "epoch": 2.71,
2945
+ "learning_rate": 4.550561797752809e-05,
2946
+ "loss": 0.1038,
2947
+ "step": 4830
2948
+ },
2949
+ {
2950
+ "epoch": 2.72,
2951
+ "learning_rate": 4.548481065334998e-05,
2952
+ "loss": 0.2489,
2953
+ "step": 4840
2954
+ },
2955
+ {
2956
+ "epoch": 2.72,
2957
+ "learning_rate": 4.5464003329171876e-05,
2958
+ "loss": 0.1279,
2959
+ "step": 4850
2960
+ },
2961
+ {
2962
+ "epoch": 2.73,
2963
+ "learning_rate": 4.544319600499376e-05,
2964
+ "loss": 0.447,
2965
+ "step": 4860
2966
+ },
2967
+ {
2968
+ "epoch": 2.74,
2969
+ "learning_rate": 4.542238868081565e-05,
2970
+ "loss": 0.117,
2971
+ "step": 4870
2972
+ },
2973
+ {
2974
+ "epoch": 2.74,
2975
+ "learning_rate": 4.540158135663754e-05,
2976
+ "loss": 0.1692,
2977
+ "step": 4880
2978
+ },
2979
+ {
2980
+ "epoch": 2.75,
2981
+ "learning_rate": 4.538077403245943e-05,
2982
+ "loss": 0.3346,
2983
+ "step": 4890
2984
+ },
2985
+ {
2986
+ "epoch": 2.75,
2987
+ "learning_rate": 4.535996670828131e-05,
2988
+ "loss": 0.2527,
2989
+ "step": 4900
2990
+ },
2991
+ {
2992
+ "epoch": 2.76,
2993
+ "learning_rate": 4.5339159384103206e-05,
2994
+ "loss": 0.1485,
2995
+ "step": 4910
2996
+ },
2997
+ {
2998
+ "epoch": 2.76,
2999
+ "learning_rate": 4.531835205992509e-05,
3000
+ "loss": 0.2969,
3001
+ "step": 4920
3002
+ },
3003
+ {
3004
+ "epoch": 2.77,
3005
+ "learning_rate": 4.5297544735746985e-05,
3006
+ "loss": 0.1685,
3007
+ "step": 4930
3008
+ },
3009
+ {
3010
+ "epoch": 2.78,
3011
+ "learning_rate": 4.527673741156888e-05,
3012
+ "loss": 0.1816,
3013
+ "step": 4940
3014
+ },
3015
+ {
3016
+ "epoch": 2.78,
3017
+ "learning_rate": 4.5255930087390764e-05,
3018
+ "loss": 0.1887,
3019
+ "step": 4950
3020
+ },
3021
+ {
3022
+ "epoch": 2.79,
3023
+ "learning_rate": 4.523512276321265e-05,
3024
+ "loss": 0.3821,
3025
+ "step": 4960
3026
+ },
3027
+ {
3028
+ "epoch": 2.79,
3029
+ "learning_rate": 4.5214315439034544e-05,
3030
+ "loss": 0.0828,
3031
+ "step": 4970
3032
+ },
3033
+ {
3034
+ "epoch": 2.8,
3035
+ "learning_rate": 4.519350811485643e-05,
3036
+ "loss": 0.167,
3037
+ "step": 4980
3038
+ },
3039
+ {
3040
+ "epoch": 2.8,
3041
+ "learning_rate": 4.5172700790678316e-05,
3042
+ "loss": 0.1685,
3043
+ "step": 4990
3044
+ },
3045
+ {
3046
+ "epoch": 2.81,
3047
+ "learning_rate": 4.515189346650021e-05,
3048
+ "loss": 0.2478,
3049
+ "step": 5000
3050
+ },
3051
+ {
3052
+ "epoch": 2.81,
3053
+ "learning_rate": 4.51310861423221e-05,
3054
+ "loss": 0.2478,
3055
+ "step": 5010
3056
+ },
3057
+ {
3058
+ "epoch": 2.82,
3059
+ "learning_rate": 4.511027881814399e-05,
3060
+ "loss": 0.1545,
3061
+ "step": 5020
3062
+ },
3063
+ {
3064
+ "epoch": 2.83,
3065
+ "learning_rate": 4.508947149396588e-05,
3066
+ "loss": 0.1951,
3067
+ "step": 5030
3068
+ },
3069
+ {
3070
+ "epoch": 2.83,
3071
+ "learning_rate": 4.506866416978777e-05,
3072
+ "loss": 0.2085,
3073
+ "step": 5040
3074
+ },
3075
+ {
3076
+ "epoch": 2.84,
3077
+ "learning_rate": 4.504785684560966e-05,
3078
+ "loss": 0.1854,
3079
+ "step": 5050
3080
+ },
3081
+ {
3082
+ "epoch": 2.84,
3083
+ "learning_rate": 4.5027049521431546e-05,
3084
+ "loss": 0.3196,
3085
+ "step": 5060
3086
+ },
3087
+ {
3088
+ "epoch": 2.85,
3089
+ "learning_rate": 4.500624219725343e-05,
3090
+ "loss": 0.1474,
3091
+ "step": 5070
3092
+ },
3093
+ {
3094
+ "epoch": 2.85,
3095
+ "learning_rate": 4.4985434873075325e-05,
3096
+ "loss": 0.2622,
3097
+ "step": 5080
3098
+ },
3099
+ {
3100
+ "epoch": 2.86,
3101
+ "learning_rate": 4.496462754889721e-05,
3102
+ "loss": 0.2549,
3103
+ "step": 5090
3104
+ },
3105
+ {
3106
+ "epoch": 2.87,
3107
+ "learning_rate": 4.4943820224719104e-05,
3108
+ "loss": 0.0239,
3109
+ "step": 5100
3110
+ },
3111
+ {
3112
+ "epoch": 2.87,
3113
+ "learning_rate": 4.4923012900541e-05,
3114
+ "loss": 0.0897,
3115
+ "step": 5110
3116
+ },
3117
+ {
3118
+ "epoch": 2.88,
3119
+ "learning_rate": 4.490220557636288e-05,
3120
+ "loss": 0.1313,
3121
+ "step": 5120
3122
+ },
3123
+ {
3124
+ "epoch": 2.88,
3125
+ "learning_rate": 4.488139825218477e-05,
3126
+ "loss": 0.2186,
3127
+ "step": 5130
3128
+ },
3129
+ {
3130
+ "epoch": 2.89,
3131
+ "learning_rate": 4.486059092800666e-05,
3132
+ "loss": 0.12,
3133
+ "step": 5140
3134
+ },
3135
+ {
3136
+ "epoch": 2.89,
3137
+ "learning_rate": 4.483978360382855e-05,
3138
+ "loss": 0.5581,
3139
+ "step": 5150
3140
+ },
3141
+ {
3142
+ "epoch": 2.9,
3143
+ "learning_rate": 4.4818976279650435e-05,
3144
+ "loss": 0.2464,
3145
+ "step": 5160
3146
+ },
3147
+ {
3148
+ "epoch": 2.9,
3149
+ "learning_rate": 4.479816895547233e-05,
3150
+ "loss": 0.2357,
3151
+ "step": 5170
3152
+ },
3153
+ {
3154
+ "epoch": 2.91,
3155
+ "learning_rate": 4.477736163129422e-05,
3156
+ "loss": 0.2009,
3157
+ "step": 5180
3158
+ },
3159
+ {
3160
+ "epoch": 2.92,
3161
+ "learning_rate": 4.475655430711611e-05,
3162
+ "loss": 0.1367,
3163
+ "step": 5190
3164
+ },
3165
+ {
3166
+ "epoch": 2.92,
3167
+ "learning_rate": 4.4735746982938e-05,
3168
+ "loss": 0.1218,
3169
+ "step": 5200
3170
+ },
3171
+ {
3172
+ "epoch": 2.93,
3173
+ "learning_rate": 4.4714939658759886e-05,
3174
+ "loss": 0.256,
3175
+ "step": 5210
3176
+ },
3177
+ {
3178
+ "epoch": 2.93,
3179
+ "learning_rate": 4.469413233458177e-05,
3180
+ "loss": 0.1986,
3181
+ "step": 5220
3182
+ },
3183
+ {
3184
+ "epoch": 2.94,
3185
+ "learning_rate": 4.4673325010403665e-05,
3186
+ "loss": 0.2234,
3187
+ "step": 5230
3188
+ },
3189
+ {
3190
+ "epoch": 2.94,
3191
+ "learning_rate": 4.465251768622555e-05,
3192
+ "loss": 0.4343,
3193
+ "step": 5240
3194
+ },
3195
+ {
3196
+ "epoch": 2.95,
3197
+ "learning_rate": 4.4631710362047444e-05,
3198
+ "loss": 0.1247,
3199
+ "step": 5250
3200
+ },
3201
+ {
3202
+ "epoch": 2.96,
3203
+ "learning_rate": 4.461090303786934e-05,
3204
+ "loss": 0.1964,
3205
+ "step": 5260
3206
+ },
3207
+ {
3208
+ "epoch": 2.96,
3209
+ "learning_rate": 4.459009571369122e-05,
3210
+ "loss": 0.2728,
3211
+ "step": 5270
3212
+ },
3213
+ {
3214
+ "epoch": 2.97,
3215
+ "learning_rate": 4.456928838951311e-05,
3216
+ "loss": 0.135,
3217
+ "step": 5280
3218
+ },
3219
+ {
3220
+ "epoch": 2.97,
3221
+ "learning_rate": 4.4548481065335e-05,
3222
+ "loss": 0.3644,
3223
+ "step": 5290
3224
+ },
3225
+ {
3226
+ "epoch": 2.98,
3227
+ "learning_rate": 4.452767374115689e-05,
3228
+ "loss": 0.2721,
3229
+ "step": 5300
3230
+ },
3231
+ {
3232
+ "epoch": 2.98,
3233
+ "learning_rate": 4.4506866416978775e-05,
3234
+ "loss": 0.2715,
3235
+ "step": 5310
3236
+ },
3237
+ {
3238
+ "epoch": 2.99,
3239
+ "learning_rate": 4.448605909280067e-05,
3240
+ "loss": 0.2618,
3241
+ "step": 5320
3242
+ },
3243
+ {
3244
+ "epoch": 2.99,
3245
+ "learning_rate": 4.4465251768622554e-05,
3246
+ "loss": 0.2132,
3247
+ "step": 5330
3248
+ },
3249
+ {
3250
+ "epoch": 3.0,
3251
+ "learning_rate": 4.4444444444444447e-05,
3252
+ "loss": 0.1956,
3253
+ "step": 5340
3254
+ },
3255
+ {
3256
+ "epoch": 3.0,
3257
+ "eval_accuracy": {
3258
+ "accuracy": 0.9337264813254704
3259
+ },
3260
+ "eval_f1": {
3261
+ "f1": 0.9345043308561282
3262
+ },
3263
+ "eval_loss": 0.22899627685546875,
3264
+ "eval_precision": {
3265
+ "precision": 0.9371641968965463
3266
+ },
3267
+ "eval_recall": {
3268
+ "recall": 0.9353444695340449
3269
+ },
3270
+ "eval_runtime": 94.2073,
3271
+ "eval_samples_per_second": 37.8,
3272
+ "eval_steps_per_second": 18.905,
3273
+ "step": 5340
3274
+ }
3275
+ ],
3276
+ "logging_steps": 10,
3277
+ "max_steps": 26700,
3278
+ "num_input_tokens_seen": 0,
3279
+ "num_train_epochs": 15,
3280
+ "save_steps": 500,
3281
+ "total_flos": 3.310546808093737e+18,
3282
+ "train_batch_size": 2,
3283
+ "trial_name": null,
3284
+ "trial_params": null
3285
+ }
tmp-checkpoint-5340/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc08deef7462e0688eea4cd78f5a41e4fed672d5f9bbda16fe9dab2683952f5b
3
+ size 4728