Methmani commited on
Commit
8d0c459
1 Parent(s): f046811

Upload 8 files

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.8327,
4
+ "eval_loss": 0.46508756279945374,
5
+ "eval_runtime": 21.5091,
6
+ "eval_samples_per_second": 464.92,
7
+ "eval_steps_per_second": 14.552,
8
+ "total_flos": 1.2118658355831767e+18,
9
+ "train_loss": 0.6860576226161077,
10
+ "train_runtime": 2151.6233,
11
+ "train_samples_per_second": 278.859,
12
+ "train_steps_per_second": 2.175
13
+ }
config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/mobilenet_v2_1.0_224",
3
+ "architectures": [
4
+ "MobileNetV2ForImageClassification"
5
+ ],
6
+ "classifier_dropout_prob": 0.8,
7
+ "depth_divisible_by": 8,
8
+ "depth_multiplier": 1.0,
9
+ "expand_ratio": 6,
10
+ "finegrained_output": true,
11
+ "first_layer_is_expansion": true,
12
+ "hidden_act": "relu6",
13
+ "id2label": {
14
+ "0": "T - shirt / top",
15
+ "1": "Trouser",
16
+ "2": "Pullover",
17
+ "3": "Dress",
18
+ "4": "Coat",
19
+ "5": "Sandal",
20
+ "6": "Shirt",
21
+ "7": "Sneaker",
22
+ "8": "Bag",
23
+ "9": "Ankle boot"
24
+ },
25
+ "image_size": 224,
26
+ "initializer_range": 0.02,
27
+ "label2id": {
28
+ "Ankle boot": 9,
29
+ "Bag": 8,
30
+ "Coat": 4,
31
+ "Dress": 3,
32
+ "Pullover": 2,
33
+ "Sandal": 5,
34
+ "Shirt": 6,
35
+ "Sneaker": 7,
36
+ "T - shirt / top": 0,
37
+ "Trouser": 1
38
+ },
39
+ "layer_norm_eps": 0.001,
40
+ "min_depth": 8,
41
+ "model_type": "mobilenet_v2",
42
+ "num_channels": 3,
43
+ "output_stride": 32,
44
+ "problem_type": "single_label_classification",
45
+ "semantic_loss_ignore_index": 255,
46
+ "tf_padding": true,
47
+ "torch_dtype": "float32",
48
+ "transformers_version": "4.25.1"
49
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.8327,
4
+ "eval_loss": 0.46508756279945374,
5
+ "eval_runtime": 21.5091,
6
+ "eval_samples_per_second": 464.92,
7
+ "eval_steps_per_second": 14.552
8
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": {
3
+ "height": 224,
4
+ "width": 224
5
+ },
6
+ "do_center_crop": true,
7
+ "do_normalize": true,
8
+ "do_rescale": true,
9
+ "do_resize": true,
10
+ "image_mean": [
11
+ 0.5,
12
+ 0.5,
13
+ 0.5
14
+ ],
15
+ "image_processor_type": "MobileNetV2ImageProcessor",
16
+ "image_std": [
17
+ 0.5,
18
+ 0.5,
19
+ 0.5
20
+ ],
21
+ "resample": 2,
22
+ "rescale_factor": 0.00392156862745098,
23
+ "size": {
24
+ "shortest_edge": 256
25
+ }
26
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a4d3896d80ef7098fd84ae1c44a762c5fcf4275657f375c92b2ad3c902c92b09
3
+ size 9191605
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 1.2118658355831767e+18,
4
+ "train_loss": 0.6860576226161077,
5
+ "train_runtime": 2151.6233,
6
+ "train_samples_per_second": 278.859,
7
+ "train_steps_per_second": 2.175
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2923 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8358,
3
+ "best_model_checkpoint": "./results/checkpoint-4680",
4
+ "epoch": 9.9984,
5
+ "global_step": 4680,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 1.0683760683760685e-06,
13
+ "loss": 2.5122,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.04,
18
+ "learning_rate": 2.136752136752137e-06,
19
+ "loss": 2.5472,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.06,
24
+ "learning_rate": 3.205128205128205e-06,
25
+ "loss": 2.5657,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.09,
30
+ "learning_rate": 4.273504273504274e-06,
31
+ "loss": 2.5424,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.11,
36
+ "learning_rate": 5.341880341880342e-06,
37
+ "loss": 2.5233,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.13,
42
+ "learning_rate": 6.41025641025641e-06,
43
+ "loss": 2.4851,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.15,
48
+ "learning_rate": 7.478632478632479e-06,
49
+ "loss": 2.4275,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.17,
54
+ "learning_rate": 8.547008547008548e-06,
55
+ "loss": 2.4113,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.19,
60
+ "learning_rate": 9.615384615384616e-06,
61
+ "loss": 2.3931,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.21,
66
+ "learning_rate": 1.0683760683760684e-05,
67
+ "loss": 2.3975,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.23,
72
+ "learning_rate": 1.1752136752136752e-05,
73
+ "loss": 2.3228,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.26,
78
+ "learning_rate": 1.282051282051282e-05,
79
+ "loss": 2.2772,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.28,
84
+ "learning_rate": 1.388888888888889e-05,
85
+ "loss": 2.2564,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.3,
90
+ "learning_rate": 1.4957264957264958e-05,
91
+ "loss": 2.1786,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.32,
96
+ "learning_rate": 1.602564102564103e-05,
97
+ "loss": 2.1342,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.34,
102
+ "learning_rate": 1.7094017094017095e-05,
103
+ "loss": 2.0996,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.36,
108
+ "learning_rate": 1.8162393162393162e-05,
109
+ "loss": 2.0469,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.38,
114
+ "learning_rate": 1.923076923076923e-05,
115
+ "loss": 1.9912,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.41,
120
+ "learning_rate": 2.02991452991453e-05,
121
+ "loss": 1.9157,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.43,
126
+ "learning_rate": 2.1367521367521368e-05,
127
+ "loss": 1.9226,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.45,
132
+ "learning_rate": 2.2435897435897437e-05,
133
+ "loss": 1.8344,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.47,
138
+ "learning_rate": 2.3504273504273504e-05,
139
+ "loss": 1.7494,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.49,
144
+ "learning_rate": 2.4572649572649573e-05,
145
+ "loss": 1.7794,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.51,
150
+ "learning_rate": 2.564102564102564e-05,
151
+ "loss": 1.6851,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.53,
156
+ "learning_rate": 2.670940170940171e-05,
157
+ "loss": 1.6689,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.55,
162
+ "learning_rate": 2.777777777777778e-05,
163
+ "loss": 1.5957,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.58,
168
+ "learning_rate": 2.8846153846153845e-05,
169
+ "loss": 1.5902,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.6,
174
+ "learning_rate": 2.9914529914529915e-05,
175
+ "loss": 1.5815,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.62,
180
+ "learning_rate": 3.098290598290599e-05,
181
+ "loss": 1.4559,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.64,
186
+ "learning_rate": 3.205128205128206e-05,
187
+ "loss": 1.4774,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.66,
192
+ "learning_rate": 3.311965811965812e-05,
193
+ "loss": 1.4321,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.68,
198
+ "learning_rate": 3.418803418803419e-05,
199
+ "loss": 1.3998,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.7,
204
+ "learning_rate": 3.525641025641026e-05,
205
+ "loss": 1.331,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.73,
210
+ "learning_rate": 3.6324786324786323e-05,
211
+ "loss": 1.3203,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.75,
216
+ "learning_rate": 3.739316239316239e-05,
217
+ "loss": 1.286,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.77,
222
+ "learning_rate": 3.846153846153846e-05,
223
+ "loss": 1.2602,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.79,
228
+ "learning_rate": 3.952991452991453e-05,
229
+ "loss": 1.1832,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.81,
234
+ "learning_rate": 4.05982905982906e-05,
235
+ "loss": 1.2183,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.83,
240
+ "learning_rate": 4.166666666666667e-05,
241
+ "loss": 1.1764,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.85,
246
+ "learning_rate": 4.2735042735042735e-05,
247
+ "loss": 1.0967,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.87,
252
+ "learning_rate": 4.3803418803418805e-05,
253
+ "loss": 1.1271,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.9,
258
+ "learning_rate": 4.4871794871794874e-05,
259
+ "loss": 1.0845,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.92,
264
+ "learning_rate": 4.594017094017094e-05,
265
+ "loss": 1.0432,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.94,
270
+ "learning_rate": 4.700854700854701e-05,
271
+ "loss": 1.0321,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.96,
276
+ "learning_rate": 4.8076923076923084e-05,
277
+ "loss": 1.0472,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.98,
282
+ "learning_rate": 4.9145299145299147e-05,
283
+ "loss": 0.9605,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 1.0,
288
+ "eval_accuracy": 0.687,
289
+ "eval_loss": 0.8900136947631836,
290
+ "eval_runtime": 21.116,
291
+ "eval_samples_per_second": 473.574,
292
+ "eval_steps_per_second": 14.823,
293
+ "step": 468
294
+ },
295
+ {
296
+ "epoch": 1.0,
297
+ "learning_rate": 4.997625830959164e-05,
298
+ "loss": 1.018,
299
+ "step": 470
300
+ },
301
+ {
302
+ "epoch": 1.03,
303
+ "learning_rate": 4.985754985754986e-05,
304
+ "loss": 0.9973,
305
+ "step": 480
306
+ },
307
+ {
308
+ "epoch": 1.05,
309
+ "learning_rate": 4.9738841405508076e-05,
310
+ "loss": 0.9714,
311
+ "step": 490
312
+ },
313
+ {
314
+ "epoch": 1.07,
315
+ "learning_rate": 4.962013295346629e-05,
316
+ "loss": 0.9567,
317
+ "step": 500
318
+ },
319
+ {
320
+ "epoch": 1.09,
321
+ "learning_rate": 4.95014245014245e-05,
322
+ "loss": 0.9347,
323
+ "step": 510
324
+ },
325
+ {
326
+ "epoch": 1.11,
327
+ "learning_rate": 4.938271604938271e-05,
328
+ "loss": 0.9179,
329
+ "step": 520
330
+ },
331
+ {
332
+ "epoch": 1.13,
333
+ "learning_rate": 4.926400759734093e-05,
334
+ "loss": 0.8909,
335
+ "step": 530
336
+ },
337
+ {
338
+ "epoch": 1.15,
339
+ "learning_rate": 4.9145299145299147e-05,
340
+ "loss": 0.9269,
341
+ "step": 540
342
+ },
343
+ {
344
+ "epoch": 1.17,
345
+ "learning_rate": 4.902659069325736e-05,
346
+ "loss": 0.8686,
347
+ "step": 550
348
+ },
349
+ {
350
+ "epoch": 1.2,
351
+ "learning_rate": 4.890788224121557e-05,
352
+ "loss": 0.8799,
353
+ "step": 560
354
+ },
355
+ {
356
+ "epoch": 1.22,
357
+ "learning_rate": 4.878917378917379e-05,
358
+ "loss": 0.9077,
359
+ "step": 570
360
+ },
361
+ {
362
+ "epoch": 1.24,
363
+ "learning_rate": 4.867046533713201e-05,
364
+ "loss": 0.8822,
365
+ "step": 580
366
+ },
367
+ {
368
+ "epoch": 1.26,
369
+ "learning_rate": 4.8551756885090224e-05,
370
+ "loss": 0.8425,
371
+ "step": 590
372
+ },
373
+ {
374
+ "epoch": 1.28,
375
+ "learning_rate": 4.8433048433048433e-05,
376
+ "loss": 0.8427,
377
+ "step": 600
378
+ },
379
+ {
380
+ "epoch": 1.3,
381
+ "learning_rate": 4.831433998100665e-05,
382
+ "loss": 0.8856,
383
+ "step": 610
384
+ },
385
+ {
386
+ "epoch": 1.32,
387
+ "learning_rate": 4.819563152896486e-05,
388
+ "loss": 0.8423,
389
+ "step": 620
390
+ },
391
+ {
392
+ "epoch": 1.35,
393
+ "learning_rate": 4.8076923076923084e-05,
394
+ "loss": 0.8685,
395
+ "step": 630
396
+ },
397
+ {
398
+ "epoch": 1.37,
399
+ "learning_rate": 4.7958214624881294e-05,
400
+ "loss": 0.8587,
401
+ "step": 640
402
+ },
403
+ {
404
+ "epoch": 1.39,
405
+ "learning_rate": 4.783950617283951e-05,
406
+ "loss": 0.8236,
407
+ "step": 650
408
+ },
409
+ {
410
+ "epoch": 1.41,
411
+ "learning_rate": 4.772079772079772e-05,
412
+ "loss": 0.8337,
413
+ "step": 660
414
+ },
415
+ {
416
+ "epoch": 1.43,
417
+ "learning_rate": 4.760208926875594e-05,
418
+ "loss": 0.8655,
419
+ "step": 670
420
+ },
421
+ {
422
+ "epoch": 1.45,
423
+ "learning_rate": 4.7483380816714154e-05,
424
+ "loss": 0.809,
425
+ "step": 680
426
+ },
427
+ {
428
+ "epoch": 1.47,
429
+ "learning_rate": 4.736467236467237e-05,
430
+ "loss": 0.8312,
431
+ "step": 690
432
+ },
433
+ {
434
+ "epoch": 1.49,
435
+ "learning_rate": 4.724596391263058e-05,
436
+ "loss": 0.7782,
437
+ "step": 700
438
+ },
439
+ {
440
+ "epoch": 1.52,
441
+ "learning_rate": 4.71272554605888e-05,
442
+ "loss": 0.8134,
443
+ "step": 710
444
+ },
445
+ {
446
+ "epoch": 1.54,
447
+ "learning_rate": 4.700854700854701e-05,
448
+ "loss": 0.8137,
449
+ "step": 720
450
+ },
451
+ {
452
+ "epoch": 1.56,
453
+ "learning_rate": 4.688983855650523e-05,
454
+ "loss": 0.7623,
455
+ "step": 730
456
+ },
457
+ {
458
+ "epoch": 1.58,
459
+ "learning_rate": 4.677113010446344e-05,
460
+ "loss": 0.806,
461
+ "step": 740
462
+ },
463
+ {
464
+ "epoch": 1.6,
465
+ "learning_rate": 4.665242165242166e-05,
466
+ "loss": 0.8405,
467
+ "step": 750
468
+ },
469
+ {
470
+ "epoch": 1.62,
471
+ "learning_rate": 4.653371320037987e-05,
472
+ "loss": 0.7952,
473
+ "step": 760
474
+ },
475
+ {
476
+ "epoch": 1.64,
477
+ "learning_rate": 4.6415004748338084e-05,
478
+ "loss": 0.7881,
479
+ "step": 770
480
+ },
481
+ {
482
+ "epoch": 1.67,
483
+ "learning_rate": 4.62962962962963e-05,
484
+ "loss": 0.7727,
485
+ "step": 780
486
+ },
487
+ {
488
+ "epoch": 1.69,
489
+ "learning_rate": 4.617758784425451e-05,
490
+ "loss": 0.7154,
491
+ "step": 790
492
+ },
493
+ {
494
+ "epoch": 1.71,
495
+ "learning_rate": 4.605887939221273e-05,
496
+ "loss": 0.77,
497
+ "step": 800
498
+ },
499
+ {
500
+ "epoch": 1.73,
501
+ "learning_rate": 4.594017094017094e-05,
502
+ "loss": 0.7493,
503
+ "step": 810
504
+ },
505
+ {
506
+ "epoch": 1.75,
507
+ "learning_rate": 4.582146248812916e-05,
508
+ "loss": 0.7086,
509
+ "step": 820
510
+ },
511
+ {
512
+ "epoch": 1.77,
513
+ "learning_rate": 4.570275403608737e-05,
514
+ "loss": 0.8065,
515
+ "step": 830
516
+ },
517
+ {
518
+ "epoch": 1.79,
519
+ "learning_rate": 4.558404558404559e-05,
520
+ "loss": 0.7705,
521
+ "step": 840
522
+ },
523
+ {
524
+ "epoch": 1.81,
525
+ "learning_rate": 4.54653371320038e-05,
526
+ "loss": 0.6841,
527
+ "step": 850
528
+ },
529
+ {
530
+ "epoch": 1.84,
531
+ "learning_rate": 4.5346628679962014e-05,
532
+ "loss": 0.7043,
533
+ "step": 860
534
+ },
535
+ {
536
+ "epoch": 1.86,
537
+ "learning_rate": 4.522792022792023e-05,
538
+ "loss": 0.7388,
539
+ "step": 870
540
+ },
541
+ {
542
+ "epoch": 1.88,
543
+ "learning_rate": 4.510921177587845e-05,
544
+ "loss": 0.7132,
545
+ "step": 880
546
+ },
547
+ {
548
+ "epoch": 1.9,
549
+ "learning_rate": 4.499050332383666e-05,
550
+ "loss": 0.6625,
551
+ "step": 890
552
+ },
553
+ {
554
+ "epoch": 1.92,
555
+ "learning_rate": 4.4871794871794874e-05,
556
+ "loss": 0.7285,
557
+ "step": 900
558
+ },
559
+ {
560
+ "epoch": 1.94,
561
+ "learning_rate": 4.4753086419753084e-05,
562
+ "loss": 0.6788,
563
+ "step": 910
564
+ },
565
+ {
566
+ "epoch": 1.96,
567
+ "learning_rate": 4.463437796771131e-05,
568
+ "loss": 0.7557,
569
+ "step": 920
570
+ },
571
+ {
572
+ "epoch": 1.99,
573
+ "learning_rate": 4.451566951566952e-05,
574
+ "loss": 0.6594,
575
+ "step": 930
576
+ },
577
+ {
578
+ "epoch": 2.0,
579
+ "eval_accuracy": 0.7678,
580
+ "eval_loss": 0.6456298232078552,
581
+ "eval_runtime": 21.2497,
582
+ "eval_samples_per_second": 470.595,
583
+ "eval_steps_per_second": 14.73,
584
+ "step": 936
585
+ },
586
+ {
587
+ "epoch": 2.01,
588
+ "learning_rate": 4.4396961063627735e-05,
589
+ "loss": 0.8174,
590
+ "step": 940
591
+ },
592
+ {
593
+ "epoch": 2.03,
594
+ "learning_rate": 4.4278252611585945e-05,
595
+ "loss": 0.6592,
596
+ "step": 950
597
+ },
598
+ {
599
+ "epoch": 2.05,
600
+ "learning_rate": 4.415954415954416e-05,
601
+ "loss": 0.73,
602
+ "step": 960
603
+ },
604
+ {
605
+ "epoch": 2.07,
606
+ "learning_rate": 4.404083570750238e-05,
607
+ "loss": 0.6779,
608
+ "step": 970
609
+ },
610
+ {
611
+ "epoch": 2.09,
612
+ "learning_rate": 4.3922127255460595e-05,
613
+ "loss": 0.6957,
614
+ "step": 980
615
+ },
616
+ {
617
+ "epoch": 2.12,
618
+ "learning_rate": 4.3803418803418805e-05,
619
+ "loss": 0.6562,
620
+ "step": 990
621
+ },
622
+ {
623
+ "epoch": 2.14,
624
+ "learning_rate": 4.368471035137702e-05,
625
+ "loss": 0.724,
626
+ "step": 1000
627
+ },
628
+ {
629
+ "epoch": 2.16,
630
+ "learning_rate": 4.356600189933523e-05,
631
+ "loss": 0.6781,
632
+ "step": 1010
633
+ },
634
+ {
635
+ "epoch": 2.18,
636
+ "learning_rate": 4.344729344729345e-05,
637
+ "loss": 0.6892,
638
+ "step": 1020
639
+ },
640
+ {
641
+ "epoch": 2.2,
642
+ "learning_rate": 4.3328584995251665e-05,
643
+ "loss": 0.7035,
644
+ "step": 1030
645
+ },
646
+ {
647
+ "epoch": 2.22,
648
+ "learning_rate": 4.3209876543209875e-05,
649
+ "loss": 0.6824,
650
+ "step": 1040
651
+ },
652
+ {
653
+ "epoch": 2.24,
654
+ "learning_rate": 4.309116809116809e-05,
655
+ "loss": 0.6601,
656
+ "step": 1050
657
+ },
658
+ {
659
+ "epoch": 2.26,
660
+ "learning_rate": 4.297245963912631e-05,
661
+ "loss": 0.6688,
662
+ "step": 1060
663
+ },
664
+ {
665
+ "epoch": 2.29,
666
+ "learning_rate": 4.2853751187084525e-05,
667
+ "loss": 0.6977,
668
+ "step": 1070
669
+ },
670
+ {
671
+ "epoch": 2.31,
672
+ "learning_rate": 4.2735042735042735e-05,
673
+ "loss": 0.7354,
674
+ "step": 1080
675
+ },
676
+ {
677
+ "epoch": 2.33,
678
+ "learning_rate": 4.261633428300095e-05,
679
+ "loss": 0.6231,
680
+ "step": 1090
681
+ },
682
+ {
683
+ "epoch": 2.35,
684
+ "learning_rate": 4.249762583095916e-05,
685
+ "loss": 0.6716,
686
+ "step": 1100
687
+ },
688
+ {
689
+ "epoch": 2.37,
690
+ "learning_rate": 4.2378917378917385e-05,
691
+ "loss": 0.6857,
692
+ "step": 1110
693
+ },
694
+ {
695
+ "epoch": 2.39,
696
+ "learning_rate": 4.2260208926875595e-05,
697
+ "loss": 0.6855,
698
+ "step": 1120
699
+ },
700
+ {
701
+ "epoch": 2.41,
702
+ "learning_rate": 4.214150047483381e-05,
703
+ "loss": 0.6914,
704
+ "step": 1130
705
+ },
706
+ {
707
+ "epoch": 2.44,
708
+ "learning_rate": 4.202279202279202e-05,
709
+ "loss": 0.6566,
710
+ "step": 1140
711
+ },
712
+ {
713
+ "epoch": 2.46,
714
+ "learning_rate": 4.190408357075024e-05,
715
+ "loss": 0.6659,
716
+ "step": 1150
717
+ },
718
+ {
719
+ "epoch": 2.48,
720
+ "learning_rate": 4.1785375118708455e-05,
721
+ "loss": 0.6288,
722
+ "step": 1160
723
+ },
724
+ {
725
+ "epoch": 2.5,
726
+ "learning_rate": 4.166666666666667e-05,
727
+ "loss": 0.6506,
728
+ "step": 1170
729
+ },
730
+ {
731
+ "epoch": 2.52,
732
+ "learning_rate": 4.154795821462488e-05,
733
+ "loss": 0.6128,
734
+ "step": 1180
735
+ },
736
+ {
737
+ "epoch": 2.54,
738
+ "learning_rate": 4.14292497625831e-05,
739
+ "loss": 0.6094,
740
+ "step": 1190
741
+ },
742
+ {
743
+ "epoch": 2.56,
744
+ "learning_rate": 4.131054131054131e-05,
745
+ "loss": 0.7048,
746
+ "step": 1200
747
+ },
748
+ {
749
+ "epoch": 2.58,
750
+ "learning_rate": 4.119183285849953e-05,
751
+ "loss": 0.6738,
752
+ "step": 1210
753
+ },
754
+ {
755
+ "epoch": 2.61,
756
+ "learning_rate": 4.107312440645774e-05,
757
+ "loss": 0.6113,
758
+ "step": 1220
759
+ },
760
+ {
761
+ "epoch": 2.63,
762
+ "learning_rate": 4.095441595441596e-05,
763
+ "loss": 0.6592,
764
+ "step": 1230
765
+ },
766
+ {
767
+ "epoch": 2.65,
768
+ "learning_rate": 4.083570750237417e-05,
769
+ "loss": 0.6671,
770
+ "step": 1240
771
+ },
772
+ {
773
+ "epoch": 2.67,
774
+ "learning_rate": 4.0716999050332386e-05,
775
+ "loss": 0.6513,
776
+ "step": 1250
777
+ },
778
+ {
779
+ "epoch": 2.69,
780
+ "learning_rate": 4.05982905982906e-05,
781
+ "loss": 0.6391,
782
+ "step": 1260
783
+ },
784
+ {
785
+ "epoch": 2.71,
786
+ "learning_rate": 4.047958214624881e-05,
787
+ "loss": 0.6241,
788
+ "step": 1270
789
+ },
790
+ {
791
+ "epoch": 2.73,
792
+ "learning_rate": 4.036087369420703e-05,
793
+ "loss": 0.6036,
794
+ "step": 1280
795
+ },
796
+ {
797
+ "epoch": 2.76,
798
+ "learning_rate": 4.024216524216524e-05,
799
+ "loss": 0.6585,
800
+ "step": 1290
801
+ },
802
+ {
803
+ "epoch": 2.78,
804
+ "learning_rate": 4.012345679012346e-05,
805
+ "loss": 0.7027,
806
+ "step": 1300
807
+ },
808
+ {
809
+ "epoch": 2.8,
810
+ "learning_rate": 4.000474833808167e-05,
811
+ "loss": 0.6101,
812
+ "step": 1310
813
+ },
814
+ {
815
+ "epoch": 2.82,
816
+ "learning_rate": 3.988603988603989e-05,
817
+ "loss": 0.619,
818
+ "step": 1320
819
+ },
820
+ {
821
+ "epoch": 2.84,
822
+ "learning_rate": 3.97673314339981e-05,
823
+ "loss": 0.6883,
824
+ "step": 1330
825
+ },
826
+ {
827
+ "epoch": 2.86,
828
+ "learning_rate": 3.9648622981956316e-05,
829
+ "loss": 0.6182,
830
+ "step": 1340
831
+ },
832
+ {
833
+ "epoch": 2.88,
834
+ "learning_rate": 3.952991452991453e-05,
835
+ "loss": 0.6315,
836
+ "step": 1350
837
+ },
838
+ {
839
+ "epoch": 2.9,
840
+ "learning_rate": 3.941120607787275e-05,
841
+ "loss": 0.6402,
842
+ "step": 1360
843
+ },
844
+ {
845
+ "epoch": 2.93,
846
+ "learning_rate": 3.929249762583096e-05,
847
+ "loss": 0.6355,
848
+ "step": 1370
849
+ },
850
+ {
851
+ "epoch": 2.95,
852
+ "learning_rate": 3.9173789173789176e-05,
853
+ "loss": 0.5992,
854
+ "step": 1380
855
+ },
856
+ {
857
+ "epoch": 2.97,
858
+ "learning_rate": 3.9055080721747386e-05,
859
+ "loss": 0.6006,
860
+ "step": 1390
861
+ },
862
+ {
863
+ "epoch": 2.99,
864
+ "learning_rate": 3.893637226970561e-05,
865
+ "loss": 0.6022,
866
+ "step": 1400
867
+ },
868
+ {
869
+ "epoch": 3.0,
870
+ "eval_accuracy": 0.794,
871
+ "eval_loss": 0.5784328579902649,
872
+ "eval_runtime": 21.2253,
873
+ "eval_samples_per_second": 471.135,
874
+ "eval_steps_per_second": 14.747,
875
+ "step": 1404
876
+ },
877
+ {
878
+ "epoch": 3.01,
879
+ "learning_rate": 3.881766381766382e-05,
880
+ "loss": 0.7359,
881
+ "step": 1410
882
+ },
883
+ {
884
+ "epoch": 3.03,
885
+ "learning_rate": 3.8698955365622036e-05,
886
+ "loss": 0.6312,
887
+ "step": 1420
888
+ },
889
+ {
890
+ "epoch": 3.06,
891
+ "learning_rate": 3.8580246913580246e-05,
892
+ "loss": 0.6066,
893
+ "step": 1430
894
+ },
895
+ {
896
+ "epoch": 3.08,
897
+ "learning_rate": 3.846153846153846e-05,
898
+ "loss": 0.597,
899
+ "step": 1440
900
+ },
901
+ {
902
+ "epoch": 3.1,
903
+ "learning_rate": 3.834283000949668e-05,
904
+ "loss": 0.6428,
905
+ "step": 1450
906
+ },
907
+ {
908
+ "epoch": 3.12,
909
+ "learning_rate": 3.8224121557454896e-05,
910
+ "loss": 0.5524,
911
+ "step": 1460
912
+ },
913
+ {
914
+ "epoch": 3.14,
915
+ "learning_rate": 3.8105413105413106e-05,
916
+ "loss": 0.5814,
917
+ "step": 1470
918
+ },
919
+ {
920
+ "epoch": 3.16,
921
+ "learning_rate": 3.798670465337132e-05,
922
+ "loss": 0.6541,
923
+ "step": 1480
924
+ },
925
+ {
926
+ "epoch": 3.18,
927
+ "learning_rate": 3.786799620132954e-05,
928
+ "loss": 0.5789,
929
+ "step": 1490
930
+ },
931
+ {
932
+ "epoch": 3.2,
933
+ "learning_rate": 3.774928774928775e-05,
934
+ "loss": 0.6399,
935
+ "step": 1500
936
+ },
937
+ {
938
+ "epoch": 3.23,
939
+ "learning_rate": 3.7630579297245966e-05,
940
+ "loss": 0.6521,
941
+ "step": 1510
942
+ },
943
+ {
944
+ "epoch": 3.25,
945
+ "learning_rate": 3.7511870845204176e-05,
946
+ "loss": 0.6345,
947
+ "step": 1520
948
+ },
949
+ {
950
+ "epoch": 3.27,
951
+ "learning_rate": 3.739316239316239e-05,
952
+ "loss": 0.6147,
953
+ "step": 1530
954
+ },
955
+ {
956
+ "epoch": 3.29,
957
+ "learning_rate": 3.727445394112061e-05,
958
+ "loss": 0.6226,
959
+ "step": 1540
960
+ },
961
+ {
962
+ "epoch": 3.31,
963
+ "learning_rate": 3.7155745489078827e-05,
964
+ "loss": 0.5948,
965
+ "step": 1550
966
+ },
967
+ {
968
+ "epoch": 3.33,
969
+ "learning_rate": 3.7037037037037037e-05,
970
+ "loss": 0.6254,
971
+ "step": 1560
972
+ },
973
+ {
974
+ "epoch": 3.35,
975
+ "learning_rate": 3.691832858499525e-05,
976
+ "loss": 0.6278,
977
+ "step": 1570
978
+ },
979
+ {
980
+ "epoch": 3.38,
981
+ "learning_rate": 3.679962013295346e-05,
982
+ "loss": 0.5576,
983
+ "step": 1580
984
+ },
985
+ {
986
+ "epoch": 3.4,
987
+ "learning_rate": 3.668091168091169e-05,
988
+ "loss": 0.6125,
989
+ "step": 1590
990
+ },
991
+ {
992
+ "epoch": 3.42,
993
+ "learning_rate": 3.65622032288699e-05,
994
+ "loss": 0.5937,
995
+ "step": 1600
996
+ },
997
+ {
998
+ "epoch": 3.44,
999
+ "learning_rate": 3.6443494776828113e-05,
1000
+ "loss": 0.5742,
1001
+ "step": 1610
1002
+ },
1003
+ {
1004
+ "epoch": 3.46,
1005
+ "learning_rate": 3.6324786324786323e-05,
1006
+ "loss": 0.5925,
1007
+ "step": 1620
1008
+ },
1009
+ {
1010
+ "epoch": 3.48,
1011
+ "learning_rate": 3.620607787274454e-05,
1012
+ "loss": 0.6244,
1013
+ "step": 1630
1014
+ },
1015
+ {
1016
+ "epoch": 3.5,
1017
+ "learning_rate": 3.608736942070276e-05,
1018
+ "loss": 0.5918,
1019
+ "step": 1640
1020
+ },
1021
+ {
1022
+ "epoch": 3.52,
1023
+ "learning_rate": 3.5968660968660974e-05,
1024
+ "loss": 0.6122,
1025
+ "step": 1650
1026
+ },
1027
+ {
1028
+ "epoch": 3.55,
1029
+ "learning_rate": 3.5849952516619184e-05,
1030
+ "loss": 0.5986,
1031
+ "step": 1660
1032
+ },
1033
+ {
1034
+ "epoch": 3.57,
1035
+ "learning_rate": 3.57312440645774e-05,
1036
+ "loss": 0.6189,
1037
+ "step": 1670
1038
+ },
1039
+ {
1040
+ "epoch": 3.59,
1041
+ "learning_rate": 3.561253561253561e-05,
1042
+ "loss": 0.5764,
1043
+ "step": 1680
1044
+ },
1045
+ {
1046
+ "epoch": 3.61,
1047
+ "learning_rate": 3.5493827160493834e-05,
1048
+ "loss": 0.5119,
1049
+ "step": 1690
1050
+ },
1051
+ {
1052
+ "epoch": 3.63,
1053
+ "learning_rate": 3.5375118708452044e-05,
1054
+ "loss": 0.5894,
1055
+ "step": 1700
1056
+ },
1057
+ {
1058
+ "epoch": 3.65,
1059
+ "learning_rate": 3.525641025641026e-05,
1060
+ "loss": 0.5738,
1061
+ "step": 1710
1062
+ },
1063
+ {
1064
+ "epoch": 3.67,
1065
+ "learning_rate": 3.513770180436847e-05,
1066
+ "loss": 0.5619,
1067
+ "step": 1720
1068
+ },
1069
+ {
1070
+ "epoch": 3.7,
1071
+ "learning_rate": 3.501899335232669e-05,
1072
+ "loss": 0.616,
1073
+ "step": 1730
1074
+ },
1075
+ {
1076
+ "epoch": 3.72,
1077
+ "learning_rate": 3.4900284900284904e-05,
1078
+ "loss": 0.5725,
1079
+ "step": 1740
1080
+ },
1081
+ {
1082
+ "epoch": 3.74,
1083
+ "learning_rate": 3.4781576448243114e-05,
1084
+ "loss": 0.5865,
1085
+ "step": 1750
1086
+ },
1087
+ {
1088
+ "epoch": 3.76,
1089
+ "learning_rate": 3.466286799620133e-05,
1090
+ "loss": 0.5679,
1091
+ "step": 1760
1092
+ },
1093
+ {
1094
+ "epoch": 3.78,
1095
+ "learning_rate": 3.454415954415954e-05,
1096
+ "loss": 0.5111,
1097
+ "step": 1770
1098
+ },
1099
+ {
1100
+ "epoch": 3.8,
1101
+ "learning_rate": 3.4425451092117764e-05,
1102
+ "loss": 0.5868,
1103
+ "step": 1780
1104
+ },
1105
+ {
1106
+ "epoch": 3.82,
1107
+ "learning_rate": 3.4306742640075974e-05,
1108
+ "loss": 0.5759,
1109
+ "step": 1790
1110
+ },
1111
+ {
1112
+ "epoch": 3.84,
1113
+ "learning_rate": 3.418803418803419e-05,
1114
+ "loss": 0.5404,
1115
+ "step": 1800
1116
+ },
1117
+ {
1118
+ "epoch": 3.87,
1119
+ "learning_rate": 3.40693257359924e-05,
1120
+ "loss": 0.5866,
1121
+ "step": 1810
1122
+ },
1123
+ {
1124
+ "epoch": 3.89,
1125
+ "learning_rate": 3.395061728395062e-05,
1126
+ "loss": 0.5865,
1127
+ "step": 1820
1128
+ },
1129
+ {
1130
+ "epoch": 3.91,
1131
+ "learning_rate": 3.3831908831908834e-05,
1132
+ "loss": 0.5784,
1133
+ "step": 1830
1134
+ },
1135
+ {
1136
+ "epoch": 3.93,
1137
+ "learning_rate": 3.371320037986705e-05,
1138
+ "loss": 0.5685,
1139
+ "step": 1840
1140
+ },
1141
+ {
1142
+ "epoch": 3.95,
1143
+ "learning_rate": 3.359449192782526e-05,
1144
+ "loss": 0.5839,
1145
+ "step": 1850
1146
+ },
1147
+ {
1148
+ "epoch": 3.97,
1149
+ "learning_rate": 3.347578347578348e-05,
1150
+ "loss": 0.5234,
1151
+ "step": 1860
1152
+ },
1153
+ {
1154
+ "epoch": 3.99,
1155
+ "learning_rate": 3.335707502374169e-05,
1156
+ "loss": 0.5507,
1157
+ "step": 1870
1158
+ },
1159
+ {
1160
+ "epoch": 4.0,
1161
+ "eval_accuracy": 0.8112,
1162
+ "eval_loss": 0.5229769349098206,
1163
+ "eval_runtime": 21.3489,
1164
+ "eval_samples_per_second": 468.409,
1165
+ "eval_steps_per_second": 14.661,
1166
+ "step": 1872
1167
+ },
1168
+ {
1169
+ "epoch": 4.02,
1170
+ "learning_rate": 3.323836657169991e-05,
1171
+ "loss": 0.5862,
1172
+ "step": 1880
1173
+ },
1174
+ {
1175
+ "epoch": 4.04,
1176
+ "learning_rate": 3.311965811965812e-05,
1177
+ "loss": 0.6056,
1178
+ "step": 1890
1179
+ },
1180
+ {
1181
+ "epoch": 4.06,
1182
+ "learning_rate": 3.300094966761634e-05,
1183
+ "loss": 0.5565,
1184
+ "step": 1900
1185
+ },
1186
+ {
1187
+ "epoch": 4.08,
1188
+ "learning_rate": 3.288224121557455e-05,
1189
+ "loss": 0.5985,
1190
+ "step": 1910
1191
+ },
1192
+ {
1193
+ "epoch": 4.1,
1194
+ "learning_rate": 3.2763532763532764e-05,
1195
+ "loss": 0.5704,
1196
+ "step": 1920
1197
+ },
1198
+ {
1199
+ "epoch": 4.12,
1200
+ "learning_rate": 3.264482431149098e-05,
1201
+ "loss": 0.5913,
1202
+ "step": 1930
1203
+ },
1204
+ {
1205
+ "epoch": 4.15,
1206
+ "learning_rate": 3.25261158594492e-05,
1207
+ "loss": 0.5804,
1208
+ "step": 1940
1209
+ },
1210
+ {
1211
+ "epoch": 4.17,
1212
+ "learning_rate": 3.240740740740741e-05,
1213
+ "loss": 0.6079,
1214
+ "step": 1950
1215
+ },
1216
+ {
1217
+ "epoch": 4.19,
1218
+ "learning_rate": 3.2288698955365625e-05,
1219
+ "loss": 0.5369,
1220
+ "step": 1960
1221
+ },
1222
+ {
1223
+ "epoch": 4.21,
1224
+ "learning_rate": 3.216999050332384e-05,
1225
+ "loss": 0.5552,
1226
+ "step": 1970
1227
+ },
1228
+ {
1229
+ "epoch": 4.23,
1230
+ "learning_rate": 3.205128205128206e-05,
1231
+ "loss": 0.5675,
1232
+ "step": 1980
1233
+ },
1234
+ {
1235
+ "epoch": 4.25,
1236
+ "learning_rate": 3.193257359924027e-05,
1237
+ "loss": 0.5972,
1238
+ "step": 1990
1239
+ },
1240
+ {
1241
+ "epoch": 4.27,
1242
+ "learning_rate": 3.181386514719848e-05,
1243
+ "loss": 0.567,
1244
+ "step": 2000
1245
+ },
1246
+ {
1247
+ "epoch": 4.29,
1248
+ "learning_rate": 3.1695156695156695e-05,
1249
+ "loss": 0.5687,
1250
+ "step": 2010
1251
+ },
1252
+ {
1253
+ "epoch": 4.32,
1254
+ "learning_rate": 3.157644824311491e-05,
1255
+ "loss": 0.5447,
1256
+ "step": 2020
1257
+ },
1258
+ {
1259
+ "epoch": 4.34,
1260
+ "learning_rate": 3.145773979107313e-05,
1261
+ "loss": 0.551,
1262
+ "step": 2030
1263
+ },
1264
+ {
1265
+ "epoch": 4.36,
1266
+ "learning_rate": 3.133903133903134e-05,
1267
+ "loss": 0.5206,
1268
+ "step": 2040
1269
+ },
1270
+ {
1271
+ "epoch": 4.38,
1272
+ "learning_rate": 3.1220322886989555e-05,
1273
+ "loss": 0.5896,
1274
+ "step": 2050
1275
+ },
1276
+ {
1277
+ "epoch": 4.4,
1278
+ "learning_rate": 3.1101614434947765e-05,
1279
+ "loss": 0.52,
1280
+ "step": 2060
1281
+ },
1282
+ {
1283
+ "epoch": 4.42,
1284
+ "learning_rate": 3.098290598290599e-05,
1285
+ "loss": 0.5419,
1286
+ "step": 2070
1287
+ },
1288
+ {
1289
+ "epoch": 4.44,
1290
+ "learning_rate": 3.08641975308642e-05,
1291
+ "loss": 0.5957,
1292
+ "step": 2080
1293
+ },
1294
+ {
1295
+ "epoch": 4.47,
1296
+ "learning_rate": 3.0745489078822415e-05,
1297
+ "loss": 0.5718,
1298
+ "step": 2090
1299
+ },
1300
+ {
1301
+ "epoch": 4.49,
1302
+ "learning_rate": 3.0626780626780625e-05,
1303
+ "loss": 0.5631,
1304
+ "step": 2100
1305
+ },
1306
+ {
1307
+ "epoch": 4.51,
1308
+ "learning_rate": 3.0508072174738845e-05,
1309
+ "loss": 0.5291,
1310
+ "step": 2110
1311
+ },
1312
+ {
1313
+ "epoch": 4.53,
1314
+ "learning_rate": 3.0389363722697055e-05,
1315
+ "loss": 0.5231,
1316
+ "step": 2120
1317
+ },
1318
+ {
1319
+ "epoch": 4.55,
1320
+ "learning_rate": 3.0270655270655275e-05,
1321
+ "loss": 0.5584,
1322
+ "step": 2130
1323
+ },
1324
+ {
1325
+ "epoch": 4.57,
1326
+ "learning_rate": 3.0151946818613485e-05,
1327
+ "loss": 0.5358,
1328
+ "step": 2140
1329
+ },
1330
+ {
1331
+ "epoch": 4.59,
1332
+ "learning_rate": 3.0033238366571702e-05,
1333
+ "loss": 0.5586,
1334
+ "step": 2150
1335
+ },
1336
+ {
1337
+ "epoch": 4.61,
1338
+ "learning_rate": 2.9914529914529915e-05,
1339
+ "loss": 0.524,
1340
+ "step": 2160
1341
+ },
1342
+ {
1343
+ "epoch": 4.64,
1344
+ "learning_rate": 2.9795821462488132e-05,
1345
+ "loss": 0.5691,
1346
+ "step": 2170
1347
+ },
1348
+ {
1349
+ "epoch": 4.66,
1350
+ "learning_rate": 2.9677113010446345e-05,
1351
+ "loss": 0.5332,
1352
+ "step": 2180
1353
+ },
1354
+ {
1355
+ "epoch": 4.68,
1356
+ "learning_rate": 2.9558404558404562e-05,
1357
+ "loss": 0.5056,
1358
+ "step": 2190
1359
+ },
1360
+ {
1361
+ "epoch": 4.7,
1362
+ "learning_rate": 2.9439696106362775e-05,
1363
+ "loss": 0.5249,
1364
+ "step": 2200
1365
+ },
1366
+ {
1367
+ "epoch": 4.72,
1368
+ "learning_rate": 2.9320987654320992e-05,
1369
+ "loss": 0.5079,
1370
+ "step": 2210
1371
+ },
1372
+ {
1373
+ "epoch": 4.74,
1374
+ "learning_rate": 2.9202279202279202e-05,
1375
+ "loss": 0.5237,
1376
+ "step": 2220
1377
+ },
1378
+ {
1379
+ "epoch": 4.76,
1380
+ "learning_rate": 2.9083570750237422e-05,
1381
+ "loss": 0.5777,
1382
+ "step": 2230
1383
+ },
1384
+ {
1385
+ "epoch": 4.79,
1386
+ "learning_rate": 2.8964862298195632e-05,
1387
+ "loss": 0.4953,
1388
+ "step": 2240
1389
+ },
1390
+ {
1391
+ "epoch": 4.81,
1392
+ "learning_rate": 2.8846153846153845e-05,
1393
+ "loss": 0.5031,
1394
+ "step": 2250
1395
+ },
1396
+ {
1397
+ "epoch": 4.83,
1398
+ "learning_rate": 2.8727445394112062e-05,
1399
+ "loss": 0.5307,
1400
+ "step": 2260
1401
+ },
1402
+ {
1403
+ "epoch": 4.85,
1404
+ "learning_rate": 2.8608736942070276e-05,
1405
+ "loss": 0.557,
1406
+ "step": 2270
1407
+ },
1408
+ {
1409
+ "epoch": 4.87,
1410
+ "learning_rate": 2.8490028490028492e-05,
1411
+ "loss": 0.5504,
1412
+ "step": 2280
1413
+ },
1414
+ {
1415
+ "epoch": 4.89,
1416
+ "learning_rate": 2.8371320037986702e-05,
1417
+ "loss": 0.5421,
1418
+ "step": 2290
1419
+ },
1420
+ {
1421
+ "epoch": 4.91,
1422
+ "learning_rate": 2.8252611585944922e-05,
1423
+ "loss": 0.5242,
1424
+ "step": 2300
1425
+ },
1426
+ {
1427
+ "epoch": 4.93,
1428
+ "learning_rate": 2.8133903133903132e-05,
1429
+ "loss": 0.543,
1430
+ "step": 2310
1431
+ },
1432
+ {
1433
+ "epoch": 4.96,
1434
+ "learning_rate": 2.8015194681861352e-05,
1435
+ "loss": 0.5266,
1436
+ "step": 2320
1437
+ },
1438
+ {
1439
+ "epoch": 4.98,
1440
+ "learning_rate": 2.7896486229819562e-05,
1441
+ "loss": 0.4883,
1442
+ "step": 2330
1443
+ },
1444
+ {
1445
+ "epoch": 5.0,
1446
+ "learning_rate": 2.777777777777778e-05,
1447
+ "loss": 0.5017,
1448
+ "step": 2340
1449
+ },
1450
+ {
1451
+ "epoch": 5.0,
1452
+ "eval_accuracy": 0.8279,
1453
+ "eval_loss": 0.4852665066719055,
1454
+ "eval_runtime": 21.4449,
1455
+ "eval_samples_per_second": 466.31,
1456
+ "eval_steps_per_second": 14.596,
1457
+ "step": 2340
1458
+ },
1459
+ {
1460
+ "epoch": 5.02,
1461
+ "learning_rate": 2.7659069325735992e-05,
1462
+ "loss": 0.5633,
1463
+ "step": 2350
1464
+ },
1465
+ {
1466
+ "epoch": 5.04,
1467
+ "learning_rate": 2.754036087369421e-05,
1468
+ "loss": 0.5191,
1469
+ "step": 2360
1470
+ },
1471
+ {
1472
+ "epoch": 5.06,
1473
+ "learning_rate": 2.7421652421652423e-05,
1474
+ "loss": 0.5179,
1475
+ "step": 2370
1476
+ },
1477
+ {
1478
+ "epoch": 5.09,
1479
+ "learning_rate": 2.730294396961064e-05,
1480
+ "loss": 0.5143,
1481
+ "step": 2380
1482
+ },
1483
+ {
1484
+ "epoch": 5.11,
1485
+ "learning_rate": 2.7184235517568853e-05,
1486
+ "loss": 0.5288,
1487
+ "step": 2390
1488
+ },
1489
+ {
1490
+ "epoch": 5.13,
1491
+ "learning_rate": 2.706552706552707e-05,
1492
+ "loss": 0.5625,
1493
+ "step": 2400
1494
+ },
1495
+ {
1496
+ "epoch": 5.15,
1497
+ "learning_rate": 2.694681861348528e-05,
1498
+ "loss": 0.5763,
1499
+ "step": 2410
1500
+ },
1501
+ {
1502
+ "epoch": 5.17,
1503
+ "learning_rate": 2.68281101614435e-05,
1504
+ "loss": 0.5449,
1505
+ "step": 2420
1506
+ },
1507
+ {
1508
+ "epoch": 5.19,
1509
+ "learning_rate": 2.670940170940171e-05,
1510
+ "loss": 0.5854,
1511
+ "step": 2430
1512
+ },
1513
+ {
1514
+ "epoch": 5.21,
1515
+ "learning_rate": 2.6590693257359926e-05,
1516
+ "loss": 0.555,
1517
+ "step": 2440
1518
+ },
1519
+ {
1520
+ "epoch": 5.23,
1521
+ "learning_rate": 2.647198480531814e-05,
1522
+ "loss": 0.518,
1523
+ "step": 2450
1524
+ },
1525
+ {
1526
+ "epoch": 5.26,
1527
+ "learning_rate": 2.6353276353276356e-05,
1528
+ "loss": 0.5439,
1529
+ "step": 2460
1530
+ },
1531
+ {
1532
+ "epoch": 5.28,
1533
+ "learning_rate": 2.623456790123457e-05,
1534
+ "loss": 0.5278,
1535
+ "step": 2470
1536
+ },
1537
+ {
1538
+ "epoch": 5.3,
1539
+ "learning_rate": 2.611585944919278e-05,
1540
+ "loss": 0.4893,
1541
+ "step": 2480
1542
+ },
1543
+ {
1544
+ "epoch": 5.32,
1545
+ "learning_rate": 2.5997150997151e-05,
1546
+ "loss": 0.5088,
1547
+ "step": 2490
1548
+ },
1549
+ {
1550
+ "epoch": 5.34,
1551
+ "learning_rate": 2.587844254510921e-05,
1552
+ "loss": 0.5006,
1553
+ "step": 2500
1554
+ },
1555
+ {
1556
+ "epoch": 5.36,
1557
+ "learning_rate": 2.575973409306743e-05,
1558
+ "loss": 0.5255,
1559
+ "step": 2510
1560
+ },
1561
+ {
1562
+ "epoch": 5.38,
1563
+ "learning_rate": 2.564102564102564e-05,
1564
+ "loss": 0.4822,
1565
+ "step": 2520
1566
+ },
1567
+ {
1568
+ "epoch": 5.41,
1569
+ "learning_rate": 2.5522317188983856e-05,
1570
+ "loss": 0.4957,
1571
+ "step": 2530
1572
+ },
1573
+ {
1574
+ "epoch": 5.43,
1575
+ "learning_rate": 2.540360873694207e-05,
1576
+ "loss": 0.4955,
1577
+ "step": 2540
1578
+ },
1579
+ {
1580
+ "epoch": 5.45,
1581
+ "learning_rate": 2.5284900284900286e-05,
1582
+ "loss": 0.5487,
1583
+ "step": 2550
1584
+ },
1585
+ {
1586
+ "epoch": 5.47,
1587
+ "learning_rate": 2.51661918328585e-05,
1588
+ "loss": 0.5006,
1589
+ "step": 2560
1590
+ },
1591
+ {
1592
+ "epoch": 5.49,
1593
+ "learning_rate": 2.5047483380816717e-05,
1594
+ "loss": 0.6019,
1595
+ "step": 2570
1596
+ },
1597
+ {
1598
+ "epoch": 5.51,
1599
+ "learning_rate": 2.492877492877493e-05,
1600
+ "loss": 0.5318,
1601
+ "step": 2580
1602
+ },
1603
+ {
1604
+ "epoch": 5.53,
1605
+ "learning_rate": 2.4810066476733147e-05,
1606
+ "loss": 0.501,
1607
+ "step": 2590
1608
+ },
1609
+ {
1610
+ "epoch": 5.55,
1611
+ "learning_rate": 2.4691358024691357e-05,
1612
+ "loss": 0.5177,
1613
+ "step": 2600
1614
+ },
1615
+ {
1616
+ "epoch": 5.58,
1617
+ "learning_rate": 2.4572649572649573e-05,
1618
+ "loss": 0.511,
1619
+ "step": 2610
1620
+ },
1621
+ {
1622
+ "epoch": 5.6,
1623
+ "learning_rate": 2.4453941120607787e-05,
1624
+ "loss": 0.521,
1625
+ "step": 2620
1626
+ },
1627
+ {
1628
+ "epoch": 5.62,
1629
+ "learning_rate": 2.4335232668566003e-05,
1630
+ "loss": 0.5401,
1631
+ "step": 2630
1632
+ },
1633
+ {
1634
+ "epoch": 5.64,
1635
+ "learning_rate": 2.4216524216524217e-05,
1636
+ "loss": 0.5247,
1637
+ "step": 2640
1638
+ },
1639
+ {
1640
+ "epoch": 5.66,
1641
+ "learning_rate": 2.409781576448243e-05,
1642
+ "loss": 0.5437,
1643
+ "step": 2650
1644
+ },
1645
+ {
1646
+ "epoch": 5.68,
1647
+ "learning_rate": 2.3979107312440647e-05,
1648
+ "loss": 0.5283,
1649
+ "step": 2660
1650
+ },
1651
+ {
1652
+ "epoch": 5.7,
1653
+ "learning_rate": 2.386039886039886e-05,
1654
+ "loss": 0.5262,
1655
+ "step": 2670
1656
+ },
1657
+ {
1658
+ "epoch": 5.73,
1659
+ "learning_rate": 2.3741690408357077e-05,
1660
+ "loss": 0.5207,
1661
+ "step": 2680
1662
+ },
1663
+ {
1664
+ "epoch": 5.75,
1665
+ "learning_rate": 2.362298195631529e-05,
1666
+ "loss": 0.4631,
1667
+ "step": 2690
1668
+ },
1669
+ {
1670
+ "epoch": 5.77,
1671
+ "learning_rate": 2.3504273504273504e-05,
1672
+ "loss": 0.5307,
1673
+ "step": 2700
1674
+ },
1675
+ {
1676
+ "epoch": 5.79,
1677
+ "learning_rate": 2.338556505223172e-05,
1678
+ "loss": 0.5224,
1679
+ "step": 2710
1680
+ },
1681
+ {
1682
+ "epoch": 5.81,
1683
+ "learning_rate": 2.3266856600189934e-05,
1684
+ "loss": 0.5514,
1685
+ "step": 2720
1686
+ },
1687
+ {
1688
+ "epoch": 5.83,
1689
+ "learning_rate": 2.314814814814815e-05,
1690
+ "loss": 0.5298,
1691
+ "step": 2730
1692
+ },
1693
+ {
1694
+ "epoch": 5.85,
1695
+ "learning_rate": 2.3029439696106364e-05,
1696
+ "loss": 0.509,
1697
+ "step": 2740
1698
+ },
1699
+ {
1700
+ "epoch": 5.87,
1701
+ "learning_rate": 2.291073124406458e-05,
1702
+ "loss": 0.5223,
1703
+ "step": 2750
1704
+ },
1705
+ {
1706
+ "epoch": 5.9,
1707
+ "learning_rate": 2.2792022792022794e-05,
1708
+ "loss": 0.514,
1709
+ "step": 2760
1710
+ },
1711
+ {
1712
+ "epoch": 5.92,
1713
+ "learning_rate": 2.2673314339981007e-05,
1714
+ "loss": 0.5104,
1715
+ "step": 2770
1716
+ },
1717
+ {
1718
+ "epoch": 5.94,
1719
+ "learning_rate": 2.2554605887939224e-05,
1720
+ "loss": 0.5158,
1721
+ "step": 2780
1722
+ },
1723
+ {
1724
+ "epoch": 5.96,
1725
+ "learning_rate": 2.2435897435897437e-05,
1726
+ "loss": 0.4896,
1727
+ "step": 2790
1728
+ },
1729
+ {
1730
+ "epoch": 5.98,
1731
+ "learning_rate": 2.2317188983855654e-05,
1732
+ "loss": 0.507,
1733
+ "step": 2800
1734
+ },
1735
+ {
1736
+ "epoch": 6.0,
1737
+ "eval_accuracy": 0.8286,
1738
+ "eval_loss": 0.47876212000846863,
1739
+ "eval_runtime": 21.3708,
1740
+ "eval_samples_per_second": 467.927,
1741
+ "eval_steps_per_second": 14.646,
1742
+ "step": 2808
1743
+ },
1744
+ {
1745
+ "epoch": 6.0,
1746
+ "learning_rate": 2.2198480531813867e-05,
1747
+ "loss": 0.5624,
1748
+ "step": 2810
1749
+ },
1750
+ {
1751
+ "epoch": 6.03,
1752
+ "learning_rate": 2.207977207977208e-05,
1753
+ "loss": 0.4918,
1754
+ "step": 2820
1755
+ },
1756
+ {
1757
+ "epoch": 6.05,
1758
+ "learning_rate": 2.1961063627730297e-05,
1759
+ "loss": 0.5042,
1760
+ "step": 2830
1761
+ },
1762
+ {
1763
+ "epoch": 6.07,
1764
+ "learning_rate": 2.184235517568851e-05,
1765
+ "loss": 0.5235,
1766
+ "step": 2840
1767
+ },
1768
+ {
1769
+ "epoch": 6.09,
1770
+ "learning_rate": 2.1723646723646724e-05,
1771
+ "loss": 0.5313,
1772
+ "step": 2850
1773
+ },
1774
+ {
1775
+ "epoch": 6.11,
1776
+ "learning_rate": 2.1604938271604937e-05,
1777
+ "loss": 0.5547,
1778
+ "step": 2860
1779
+ },
1780
+ {
1781
+ "epoch": 6.13,
1782
+ "learning_rate": 2.1486229819563154e-05,
1783
+ "loss": 0.5049,
1784
+ "step": 2870
1785
+ },
1786
+ {
1787
+ "epoch": 6.15,
1788
+ "learning_rate": 2.1367521367521368e-05,
1789
+ "loss": 0.5309,
1790
+ "step": 2880
1791
+ },
1792
+ {
1793
+ "epoch": 6.17,
1794
+ "learning_rate": 2.124881291547958e-05,
1795
+ "loss": 0.5157,
1796
+ "step": 2890
1797
+ },
1798
+ {
1799
+ "epoch": 6.2,
1800
+ "learning_rate": 2.1130104463437798e-05,
1801
+ "loss": 0.5061,
1802
+ "step": 2900
1803
+ },
1804
+ {
1805
+ "epoch": 6.22,
1806
+ "learning_rate": 2.101139601139601e-05,
1807
+ "loss": 0.5457,
1808
+ "step": 2910
1809
+ },
1810
+ {
1811
+ "epoch": 6.24,
1812
+ "learning_rate": 2.0892687559354228e-05,
1813
+ "loss": 0.5072,
1814
+ "step": 2920
1815
+ },
1816
+ {
1817
+ "epoch": 6.26,
1818
+ "learning_rate": 2.077397910731244e-05,
1819
+ "loss": 0.4898,
1820
+ "step": 2930
1821
+ },
1822
+ {
1823
+ "epoch": 6.28,
1824
+ "learning_rate": 2.0655270655270654e-05,
1825
+ "loss": 0.5464,
1826
+ "step": 2940
1827
+ },
1828
+ {
1829
+ "epoch": 6.3,
1830
+ "learning_rate": 2.053656220322887e-05,
1831
+ "loss": 0.5298,
1832
+ "step": 2950
1833
+ },
1834
+ {
1835
+ "epoch": 6.32,
1836
+ "learning_rate": 2.0417853751187084e-05,
1837
+ "loss": 0.4767,
1838
+ "step": 2960
1839
+ },
1840
+ {
1841
+ "epoch": 6.35,
1842
+ "learning_rate": 2.02991452991453e-05,
1843
+ "loss": 0.4861,
1844
+ "step": 2970
1845
+ },
1846
+ {
1847
+ "epoch": 6.37,
1848
+ "learning_rate": 2.0180436847103515e-05,
1849
+ "loss": 0.5123,
1850
+ "step": 2980
1851
+ },
1852
+ {
1853
+ "epoch": 6.39,
1854
+ "learning_rate": 2.006172839506173e-05,
1855
+ "loss": 0.5093,
1856
+ "step": 2990
1857
+ },
1858
+ {
1859
+ "epoch": 6.41,
1860
+ "learning_rate": 1.9943019943019945e-05,
1861
+ "loss": 0.5399,
1862
+ "step": 3000
1863
+ },
1864
+ {
1865
+ "epoch": 6.43,
1866
+ "learning_rate": 1.9824311490978158e-05,
1867
+ "loss": 0.5012,
1868
+ "step": 3010
1869
+ },
1870
+ {
1871
+ "epoch": 6.45,
1872
+ "learning_rate": 1.9705603038936375e-05,
1873
+ "loss": 0.5185,
1874
+ "step": 3020
1875
+ },
1876
+ {
1877
+ "epoch": 6.47,
1878
+ "learning_rate": 1.9586894586894588e-05,
1879
+ "loss": 0.5036,
1880
+ "step": 3030
1881
+ },
1882
+ {
1883
+ "epoch": 6.49,
1884
+ "learning_rate": 1.9468186134852805e-05,
1885
+ "loss": 0.475,
1886
+ "step": 3040
1887
+ },
1888
+ {
1889
+ "epoch": 6.52,
1890
+ "learning_rate": 1.9349477682811018e-05,
1891
+ "loss": 0.5041,
1892
+ "step": 3050
1893
+ },
1894
+ {
1895
+ "epoch": 6.54,
1896
+ "learning_rate": 1.923076923076923e-05,
1897
+ "loss": 0.509,
1898
+ "step": 3060
1899
+ },
1900
+ {
1901
+ "epoch": 6.56,
1902
+ "learning_rate": 1.9112060778727448e-05,
1903
+ "loss": 0.5313,
1904
+ "step": 3070
1905
+ },
1906
+ {
1907
+ "epoch": 6.58,
1908
+ "learning_rate": 1.899335232668566e-05,
1909
+ "loss": 0.51,
1910
+ "step": 3080
1911
+ },
1912
+ {
1913
+ "epoch": 6.6,
1914
+ "learning_rate": 1.8874643874643875e-05,
1915
+ "loss": 0.5137,
1916
+ "step": 3090
1917
+ },
1918
+ {
1919
+ "epoch": 6.62,
1920
+ "learning_rate": 1.8755935422602088e-05,
1921
+ "loss": 0.4943,
1922
+ "step": 3100
1923
+ },
1924
+ {
1925
+ "epoch": 6.64,
1926
+ "learning_rate": 1.8637226970560305e-05,
1927
+ "loss": 0.4786,
1928
+ "step": 3110
1929
+ },
1930
+ {
1931
+ "epoch": 6.67,
1932
+ "learning_rate": 1.8518518518518518e-05,
1933
+ "loss": 0.4836,
1934
+ "step": 3120
1935
+ },
1936
+ {
1937
+ "epoch": 6.69,
1938
+ "learning_rate": 1.839981006647673e-05,
1939
+ "loss": 0.5024,
1940
+ "step": 3130
1941
+ },
1942
+ {
1943
+ "epoch": 6.71,
1944
+ "learning_rate": 1.828110161443495e-05,
1945
+ "loss": 0.5013,
1946
+ "step": 3140
1947
+ },
1948
+ {
1949
+ "epoch": 6.73,
1950
+ "learning_rate": 1.8162393162393162e-05,
1951
+ "loss": 0.5167,
1952
+ "step": 3150
1953
+ },
1954
+ {
1955
+ "epoch": 6.75,
1956
+ "learning_rate": 1.804368471035138e-05,
1957
+ "loss": 0.5161,
1958
+ "step": 3160
1959
+ },
1960
+ {
1961
+ "epoch": 6.77,
1962
+ "learning_rate": 1.7924976258309592e-05,
1963
+ "loss": 0.4702,
1964
+ "step": 3170
1965
+ },
1966
+ {
1967
+ "epoch": 6.79,
1968
+ "learning_rate": 1.7806267806267805e-05,
1969
+ "loss": 0.5331,
1970
+ "step": 3180
1971
+ },
1972
+ {
1973
+ "epoch": 6.81,
1974
+ "learning_rate": 1.7687559354226022e-05,
1975
+ "loss": 0.465,
1976
+ "step": 3190
1977
+ },
1978
+ {
1979
+ "epoch": 6.84,
1980
+ "learning_rate": 1.7568850902184235e-05,
1981
+ "loss": 0.5203,
1982
+ "step": 3200
1983
+ },
1984
+ {
1985
+ "epoch": 6.86,
1986
+ "learning_rate": 1.7450142450142452e-05,
1987
+ "loss": 0.4921,
1988
+ "step": 3210
1989
+ },
1990
+ {
1991
+ "epoch": 6.88,
1992
+ "learning_rate": 1.7331433998100665e-05,
1993
+ "loss": 0.4776,
1994
+ "step": 3220
1995
+ },
1996
+ {
1997
+ "epoch": 6.9,
1998
+ "learning_rate": 1.7212725546058882e-05,
1999
+ "loss": 0.5065,
2000
+ "step": 3230
2001
+ },
2002
+ {
2003
+ "epoch": 6.92,
2004
+ "learning_rate": 1.7094017094017095e-05,
2005
+ "loss": 0.4806,
2006
+ "step": 3240
2007
+ },
2008
+ {
2009
+ "epoch": 6.94,
2010
+ "learning_rate": 1.697530864197531e-05,
2011
+ "loss": 0.4963,
2012
+ "step": 3250
2013
+ },
2014
+ {
2015
+ "epoch": 6.96,
2016
+ "learning_rate": 1.6856600189933525e-05,
2017
+ "loss": 0.52,
2018
+ "step": 3260
2019
+ },
2020
+ {
2021
+ "epoch": 6.99,
2022
+ "learning_rate": 1.673789173789174e-05,
2023
+ "loss": 0.4921,
2024
+ "step": 3270
2025
+ },
2026
+ {
2027
+ "epoch": 7.0,
2028
+ "eval_accuracy": 0.8208,
2029
+ "eval_loss": 0.4884471297264099,
2030
+ "eval_runtime": 21.37,
2031
+ "eval_samples_per_second": 467.945,
2032
+ "eval_steps_per_second": 14.647,
2033
+ "step": 3276
2034
+ },
2035
+ {
2036
+ "epoch": 7.01,
2037
+ "learning_rate": 1.6619183285849956e-05,
2038
+ "loss": 0.5273,
2039
+ "step": 3280
2040
+ },
2041
+ {
2042
+ "epoch": 7.03,
2043
+ "learning_rate": 1.650047483380817e-05,
2044
+ "loss": 0.5583,
2045
+ "step": 3290
2046
+ },
2047
+ {
2048
+ "epoch": 7.05,
2049
+ "learning_rate": 1.6381766381766382e-05,
2050
+ "loss": 0.4898,
2051
+ "step": 3300
2052
+ },
2053
+ {
2054
+ "epoch": 7.07,
2055
+ "learning_rate": 1.62630579297246e-05,
2056
+ "loss": 0.4591,
2057
+ "step": 3310
2058
+ },
2059
+ {
2060
+ "epoch": 7.09,
2061
+ "learning_rate": 1.6144349477682812e-05,
2062
+ "loss": 0.4956,
2063
+ "step": 3320
2064
+ },
2065
+ {
2066
+ "epoch": 7.12,
2067
+ "learning_rate": 1.602564102564103e-05,
2068
+ "loss": 0.5032,
2069
+ "step": 3330
2070
+ },
2071
+ {
2072
+ "epoch": 7.14,
2073
+ "learning_rate": 1.590693257359924e-05,
2074
+ "loss": 0.4485,
2075
+ "step": 3340
2076
+ },
2077
+ {
2078
+ "epoch": 7.16,
2079
+ "learning_rate": 1.5788224121557456e-05,
2080
+ "loss": 0.5178,
2081
+ "step": 3350
2082
+ },
2083
+ {
2084
+ "epoch": 7.18,
2085
+ "learning_rate": 1.566951566951567e-05,
2086
+ "loss": 0.4991,
2087
+ "step": 3360
2088
+ },
2089
+ {
2090
+ "epoch": 7.2,
2091
+ "learning_rate": 1.5550807217473882e-05,
2092
+ "loss": 0.5482,
2093
+ "step": 3370
2094
+ },
2095
+ {
2096
+ "epoch": 7.22,
2097
+ "learning_rate": 1.54320987654321e-05,
2098
+ "loss": 0.4417,
2099
+ "step": 3380
2100
+ },
2101
+ {
2102
+ "epoch": 7.24,
2103
+ "learning_rate": 1.5313390313390312e-05,
2104
+ "loss": 0.5275,
2105
+ "step": 3390
2106
+ },
2107
+ {
2108
+ "epoch": 7.26,
2109
+ "learning_rate": 1.5194681861348528e-05,
2110
+ "loss": 0.4982,
2111
+ "step": 3400
2112
+ },
2113
+ {
2114
+ "epoch": 7.29,
2115
+ "learning_rate": 1.5075973409306743e-05,
2116
+ "loss": 0.5263,
2117
+ "step": 3410
2118
+ },
2119
+ {
2120
+ "epoch": 7.31,
2121
+ "learning_rate": 1.4957264957264958e-05,
2122
+ "loss": 0.5081,
2123
+ "step": 3420
2124
+ },
2125
+ {
2126
+ "epoch": 7.33,
2127
+ "learning_rate": 1.4838556505223173e-05,
2128
+ "loss": 0.5072,
2129
+ "step": 3430
2130
+ },
2131
+ {
2132
+ "epoch": 7.35,
2133
+ "learning_rate": 1.4719848053181388e-05,
2134
+ "loss": 0.4599,
2135
+ "step": 3440
2136
+ },
2137
+ {
2138
+ "epoch": 7.37,
2139
+ "learning_rate": 1.4601139601139601e-05,
2140
+ "loss": 0.473,
2141
+ "step": 3450
2142
+ },
2143
+ {
2144
+ "epoch": 7.39,
2145
+ "learning_rate": 1.4482431149097816e-05,
2146
+ "loss": 0.444,
2147
+ "step": 3460
2148
+ },
2149
+ {
2150
+ "epoch": 7.41,
2151
+ "learning_rate": 1.4363722697056031e-05,
2152
+ "loss": 0.472,
2153
+ "step": 3470
2154
+ },
2155
+ {
2156
+ "epoch": 7.44,
2157
+ "learning_rate": 1.4245014245014246e-05,
2158
+ "loss": 0.5026,
2159
+ "step": 3480
2160
+ },
2161
+ {
2162
+ "epoch": 7.46,
2163
+ "learning_rate": 1.4126305792972461e-05,
2164
+ "loss": 0.5378,
2165
+ "step": 3490
2166
+ },
2167
+ {
2168
+ "epoch": 7.48,
2169
+ "learning_rate": 1.4007597340930676e-05,
2170
+ "loss": 0.484,
2171
+ "step": 3500
2172
+ },
2173
+ {
2174
+ "epoch": 7.5,
2175
+ "learning_rate": 1.388888888888889e-05,
2176
+ "loss": 0.5081,
2177
+ "step": 3510
2178
+ },
2179
+ {
2180
+ "epoch": 7.52,
2181
+ "learning_rate": 1.3770180436847105e-05,
2182
+ "loss": 0.4989,
2183
+ "step": 3520
2184
+ },
2185
+ {
2186
+ "epoch": 7.54,
2187
+ "learning_rate": 1.365147198480532e-05,
2188
+ "loss": 0.4824,
2189
+ "step": 3530
2190
+ },
2191
+ {
2192
+ "epoch": 7.56,
2193
+ "learning_rate": 1.3532763532763535e-05,
2194
+ "loss": 0.5288,
2195
+ "step": 3540
2196
+ },
2197
+ {
2198
+ "epoch": 7.58,
2199
+ "learning_rate": 1.341405508072175e-05,
2200
+ "loss": 0.5052,
2201
+ "step": 3550
2202
+ },
2203
+ {
2204
+ "epoch": 7.61,
2205
+ "learning_rate": 1.3295346628679963e-05,
2206
+ "loss": 0.5127,
2207
+ "step": 3560
2208
+ },
2209
+ {
2210
+ "epoch": 7.63,
2211
+ "learning_rate": 1.3176638176638178e-05,
2212
+ "loss": 0.5377,
2213
+ "step": 3570
2214
+ },
2215
+ {
2216
+ "epoch": 7.65,
2217
+ "learning_rate": 1.305792972459639e-05,
2218
+ "loss": 0.4534,
2219
+ "step": 3580
2220
+ },
2221
+ {
2222
+ "epoch": 7.67,
2223
+ "learning_rate": 1.2939221272554605e-05,
2224
+ "loss": 0.5001,
2225
+ "step": 3590
2226
+ },
2227
+ {
2228
+ "epoch": 7.69,
2229
+ "learning_rate": 1.282051282051282e-05,
2230
+ "loss": 0.4492,
2231
+ "step": 3600
2232
+ },
2233
+ {
2234
+ "epoch": 7.71,
2235
+ "learning_rate": 1.2701804368471035e-05,
2236
+ "loss": 0.4998,
2237
+ "step": 3610
2238
+ },
2239
+ {
2240
+ "epoch": 7.73,
2241
+ "learning_rate": 1.258309591642925e-05,
2242
+ "loss": 0.4512,
2243
+ "step": 3620
2244
+ },
2245
+ {
2246
+ "epoch": 7.76,
2247
+ "learning_rate": 1.2464387464387465e-05,
2248
+ "loss": 0.4569,
2249
+ "step": 3630
2250
+ },
2251
+ {
2252
+ "epoch": 7.78,
2253
+ "learning_rate": 1.2345679012345678e-05,
2254
+ "loss": 0.4876,
2255
+ "step": 3640
2256
+ },
2257
+ {
2258
+ "epoch": 7.8,
2259
+ "learning_rate": 1.2226970560303893e-05,
2260
+ "loss": 0.5116,
2261
+ "step": 3650
2262
+ },
2263
+ {
2264
+ "epoch": 7.82,
2265
+ "learning_rate": 1.2108262108262108e-05,
2266
+ "loss": 0.4963,
2267
+ "step": 3660
2268
+ },
2269
+ {
2270
+ "epoch": 7.84,
2271
+ "learning_rate": 1.1989553656220323e-05,
2272
+ "loss": 0.465,
2273
+ "step": 3670
2274
+ },
2275
+ {
2276
+ "epoch": 7.86,
2277
+ "learning_rate": 1.1870845204178538e-05,
2278
+ "loss": 0.5033,
2279
+ "step": 3680
2280
+ },
2281
+ {
2282
+ "epoch": 7.88,
2283
+ "learning_rate": 1.1752136752136752e-05,
2284
+ "loss": 0.4657,
2285
+ "step": 3690
2286
+ },
2287
+ {
2288
+ "epoch": 7.9,
2289
+ "learning_rate": 1.1633428300094967e-05,
2290
+ "loss": 0.4686,
2291
+ "step": 3700
2292
+ },
2293
+ {
2294
+ "epoch": 7.93,
2295
+ "learning_rate": 1.1514719848053182e-05,
2296
+ "loss": 0.4633,
2297
+ "step": 3710
2298
+ },
2299
+ {
2300
+ "epoch": 7.95,
2301
+ "learning_rate": 1.1396011396011397e-05,
2302
+ "loss": 0.4896,
2303
+ "step": 3720
2304
+ },
2305
+ {
2306
+ "epoch": 7.97,
2307
+ "learning_rate": 1.1277302943969612e-05,
2308
+ "loss": 0.469,
2309
+ "step": 3730
2310
+ },
2311
+ {
2312
+ "epoch": 7.99,
2313
+ "learning_rate": 1.1158594491927827e-05,
2314
+ "loss": 0.5245,
2315
+ "step": 3740
2316
+ },
2317
+ {
2318
+ "epoch": 8.0,
2319
+ "eval_accuracy": 0.8281,
2320
+ "eval_loss": 0.48483797907829285,
2321
+ "eval_runtime": 21.3581,
2322
+ "eval_samples_per_second": 468.206,
2323
+ "eval_steps_per_second": 14.655,
2324
+ "step": 3744
2325
+ },
2326
+ {
2327
+ "epoch": 8.01,
2328
+ "learning_rate": 1.103988603988604e-05,
2329
+ "loss": 0.4722,
2330
+ "step": 3750
2331
+ },
2332
+ {
2333
+ "epoch": 8.03,
2334
+ "learning_rate": 1.0921177587844255e-05,
2335
+ "loss": 0.4614,
2336
+ "step": 3760
2337
+ },
2338
+ {
2339
+ "epoch": 8.06,
2340
+ "learning_rate": 1.0802469135802469e-05,
2341
+ "loss": 0.4887,
2342
+ "step": 3770
2343
+ },
2344
+ {
2345
+ "epoch": 8.08,
2346
+ "learning_rate": 1.0683760683760684e-05,
2347
+ "loss": 0.4374,
2348
+ "step": 3780
2349
+ },
2350
+ {
2351
+ "epoch": 8.1,
2352
+ "learning_rate": 1.0565052231718899e-05,
2353
+ "loss": 0.479,
2354
+ "step": 3790
2355
+ },
2356
+ {
2357
+ "epoch": 8.12,
2358
+ "learning_rate": 1.0446343779677114e-05,
2359
+ "loss": 0.4642,
2360
+ "step": 3800
2361
+ },
2362
+ {
2363
+ "epoch": 8.14,
2364
+ "learning_rate": 1.0327635327635327e-05,
2365
+ "loss": 0.5005,
2366
+ "step": 3810
2367
+ },
2368
+ {
2369
+ "epoch": 8.16,
2370
+ "learning_rate": 1.0208926875593542e-05,
2371
+ "loss": 0.4856,
2372
+ "step": 3820
2373
+ },
2374
+ {
2375
+ "epoch": 8.18,
2376
+ "learning_rate": 1.0090218423551757e-05,
2377
+ "loss": 0.4865,
2378
+ "step": 3830
2379
+ },
2380
+ {
2381
+ "epoch": 8.2,
2382
+ "learning_rate": 9.971509971509972e-06,
2383
+ "loss": 0.4613,
2384
+ "step": 3840
2385
+ },
2386
+ {
2387
+ "epoch": 8.23,
2388
+ "learning_rate": 9.852801519468187e-06,
2389
+ "loss": 0.5187,
2390
+ "step": 3850
2391
+ },
2392
+ {
2393
+ "epoch": 8.25,
2394
+ "learning_rate": 9.734093067426402e-06,
2395
+ "loss": 0.4637,
2396
+ "step": 3860
2397
+ },
2398
+ {
2399
+ "epoch": 8.27,
2400
+ "learning_rate": 9.615384615384616e-06,
2401
+ "loss": 0.5122,
2402
+ "step": 3870
2403
+ },
2404
+ {
2405
+ "epoch": 8.29,
2406
+ "learning_rate": 9.49667616334283e-06,
2407
+ "loss": 0.5287,
2408
+ "step": 3880
2409
+ },
2410
+ {
2411
+ "epoch": 8.31,
2412
+ "learning_rate": 9.377967711301044e-06,
2413
+ "loss": 0.5041,
2414
+ "step": 3890
2415
+ },
2416
+ {
2417
+ "epoch": 8.33,
2418
+ "learning_rate": 9.259259259259259e-06,
2419
+ "loss": 0.5201,
2420
+ "step": 3900
2421
+ },
2422
+ {
2423
+ "epoch": 8.35,
2424
+ "learning_rate": 9.140550807217474e-06,
2425
+ "loss": 0.5113,
2426
+ "step": 3910
2427
+ },
2428
+ {
2429
+ "epoch": 8.38,
2430
+ "learning_rate": 9.02184235517569e-06,
2431
+ "loss": 0.444,
2432
+ "step": 3920
2433
+ },
2434
+ {
2435
+ "epoch": 8.4,
2436
+ "learning_rate": 8.903133903133903e-06,
2437
+ "loss": 0.4543,
2438
+ "step": 3930
2439
+ },
2440
+ {
2441
+ "epoch": 8.42,
2442
+ "learning_rate": 8.784425451092118e-06,
2443
+ "loss": 0.4853,
2444
+ "step": 3940
2445
+ },
2446
+ {
2447
+ "epoch": 8.44,
2448
+ "learning_rate": 8.665716999050333e-06,
2449
+ "loss": 0.5047,
2450
+ "step": 3950
2451
+ },
2452
+ {
2453
+ "epoch": 8.46,
2454
+ "learning_rate": 8.547008547008548e-06,
2455
+ "loss": 0.5277,
2456
+ "step": 3960
2457
+ },
2458
+ {
2459
+ "epoch": 8.48,
2460
+ "learning_rate": 8.428300094966763e-06,
2461
+ "loss": 0.5079,
2462
+ "step": 3970
2463
+ },
2464
+ {
2465
+ "epoch": 8.5,
2466
+ "learning_rate": 8.309591642924978e-06,
2467
+ "loss": 0.5105,
2468
+ "step": 3980
2469
+ },
2470
+ {
2471
+ "epoch": 8.52,
2472
+ "learning_rate": 8.190883190883191e-06,
2473
+ "loss": 0.4957,
2474
+ "step": 3990
2475
+ },
2476
+ {
2477
+ "epoch": 8.55,
2478
+ "learning_rate": 8.072174738841406e-06,
2479
+ "loss": 0.4925,
2480
+ "step": 4000
2481
+ },
2482
+ {
2483
+ "epoch": 8.57,
2484
+ "learning_rate": 7.95346628679962e-06,
2485
+ "loss": 0.4598,
2486
+ "step": 4010
2487
+ },
2488
+ {
2489
+ "epoch": 8.59,
2490
+ "learning_rate": 7.834757834757835e-06,
2491
+ "loss": 0.4641,
2492
+ "step": 4020
2493
+ },
2494
+ {
2495
+ "epoch": 8.61,
2496
+ "learning_rate": 7.71604938271605e-06,
2497
+ "loss": 0.4663,
2498
+ "step": 4030
2499
+ },
2500
+ {
2501
+ "epoch": 8.63,
2502
+ "learning_rate": 7.597340930674264e-06,
2503
+ "loss": 0.4348,
2504
+ "step": 4040
2505
+ },
2506
+ {
2507
+ "epoch": 8.65,
2508
+ "learning_rate": 7.478632478632479e-06,
2509
+ "loss": 0.4792,
2510
+ "step": 4050
2511
+ },
2512
+ {
2513
+ "epoch": 8.67,
2514
+ "learning_rate": 7.359924026590694e-06,
2515
+ "loss": 0.5119,
2516
+ "step": 4060
2517
+ },
2518
+ {
2519
+ "epoch": 8.7,
2520
+ "learning_rate": 7.241215574548908e-06,
2521
+ "loss": 0.5036,
2522
+ "step": 4070
2523
+ },
2524
+ {
2525
+ "epoch": 8.72,
2526
+ "learning_rate": 7.122507122507123e-06,
2527
+ "loss": 0.4743,
2528
+ "step": 4080
2529
+ },
2530
+ {
2531
+ "epoch": 8.74,
2532
+ "learning_rate": 7.003798670465338e-06,
2533
+ "loss": 0.5022,
2534
+ "step": 4090
2535
+ },
2536
+ {
2537
+ "epoch": 8.76,
2538
+ "learning_rate": 6.885090218423552e-06,
2539
+ "loss": 0.4308,
2540
+ "step": 4100
2541
+ },
2542
+ {
2543
+ "epoch": 8.78,
2544
+ "learning_rate": 6.766381766381767e-06,
2545
+ "loss": 0.4926,
2546
+ "step": 4110
2547
+ },
2548
+ {
2549
+ "epoch": 8.8,
2550
+ "learning_rate": 6.6476733143399815e-06,
2551
+ "loss": 0.4794,
2552
+ "step": 4120
2553
+ },
2554
+ {
2555
+ "epoch": 8.82,
2556
+ "learning_rate": 6.528964862298195e-06,
2557
+ "loss": 0.4819,
2558
+ "step": 4130
2559
+ },
2560
+ {
2561
+ "epoch": 8.84,
2562
+ "learning_rate": 6.41025641025641e-06,
2563
+ "loss": 0.5506,
2564
+ "step": 4140
2565
+ },
2566
+ {
2567
+ "epoch": 8.87,
2568
+ "learning_rate": 6.291547958214625e-06,
2569
+ "loss": 0.4911,
2570
+ "step": 4150
2571
+ },
2572
+ {
2573
+ "epoch": 8.89,
2574
+ "learning_rate": 6.172839506172839e-06,
2575
+ "loss": 0.5158,
2576
+ "step": 4160
2577
+ },
2578
+ {
2579
+ "epoch": 8.91,
2580
+ "learning_rate": 6.054131054131054e-06,
2581
+ "loss": 0.509,
2582
+ "step": 4170
2583
+ },
2584
+ {
2585
+ "epoch": 8.93,
2586
+ "learning_rate": 5.935422602089269e-06,
2587
+ "loss": 0.4803,
2588
+ "step": 4180
2589
+ },
2590
+ {
2591
+ "epoch": 8.95,
2592
+ "learning_rate": 5.816714150047483e-06,
2593
+ "loss": 0.4789,
2594
+ "step": 4190
2595
+ },
2596
+ {
2597
+ "epoch": 8.97,
2598
+ "learning_rate": 5.6980056980056985e-06,
2599
+ "loss": 0.4754,
2600
+ "step": 4200
2601
+ },
2602
+ {
2603
+ "epoch": 8.99,
2604
+ "learning_rate": 5.5792972459639135e-06,
2605
+ "loss": 0.4995,
2606
+ "step": 4210
2607
+ },
2608
+ {
2609
+ "epoch": 9.0,
2610
+ "eval_accuracy": 0.8322,
2611
+ "eval_loss": 0.459750771522522,
2612
+ "eval_runtime": 21.4299,
2613
+ "eval_samples_per_second": 466.638,
2614
+ "eval_steps_per_second": 14.606,
2615
+ "step": 4212
2616
+ },
2617
+ {
2618
+ "epoch": 9.02,
2619
+ "learning_rate": 5.460588793922128e-06,
2620
+ "loss": 0.4865,
2621
+ "step": 4220
2622
+ },
2623
+ {
2624
+ "epoch": 9.04,
2625
+ "learning_rate": 5.341880341880342e-06,
2626
+ "loss": 0.5137,
2627
+ "step": 4230
2628
+ },
2629
+ {
2630
+ "epoch": 9.06,
2631
+ "learning_rate": 5.223171889838557e-06,
2632
+ "loss": 0.4679,
2633
+ "step": 4240
2634
+ },
2635
+ {
2636
+ "epoch": 9.08,
2637
+ "learning_rate": 5.104463437796771e-06,
2638
+ "loss": 0.507,
2639
+ "step": 4250
2640
+ },
2641
+ {
2642
+ "epoch": 9.1,
2643
+ "learning_rate": 4.985754985754986e-06,
2644
+ "loss": 0.4584,
2645
+ "step": 4260
2646
+ },
2647
+ {
2648
+ "epoch": 9.12,
2649
+ "learning_rate": 4.867046533713201e-06,
2650
+ "loss": 0.4757,
2651
+ "step": 4270
2652
+ },
2653
+ {
2654
+ "epoch": 9.15,
2655
+ "learning_rate": 4.748338081671415e-06,
2656
+ "loss": 0.4757,
2657
+ "step": 4280
2658
+ },
2659
+ {
2660
+ "epoch": 9.17,
2661
+ "learning_rate": 4.6296296296296296e-06,
2662
+ "loss": 0.4316,
2663
+ "step": 4290
2664
+ },
2665
+ {
2666
+ "epoch": 9.19,
2667
+ "learning_rate": 4.510921177587845e-06,
2668
+ "loss": 0.5198,
2669
+ "step": 4300
2670
+ },
2671
+ {
2672
+ "epoch": 9.21,
2673
+ "learning_rate": 4.392212725546059e-06,
2674
+ "loss": 0.4834,
2675
+ "step": 4310
2676
+ },
2677
+ {
2678
+ "epoch": 9.23,
2679
+ "learning_rate": 4.273504273504274e-06,
2680
+ "loss": 0.5192,
2681
+ "step": 4320
2682
+ },
2683
+ {
2684
+ "epoch": 9.25,
2685
+ "learning_rate": 4.154795821462489e-06,
2686
+ "loss": 0.4508,
2687
+ "step": 4330
2688
+ },
2689
+ {
2690
+ "epoch": 9.27,
2691
+ "learning_rate": 4.036087369420703e-06,
2692
+ "loss": 0.458,
2693
+ "step": 4340
2694
+ },
2695
+ {
2696
+ "epoch": 9.29,
2697
+ "learning_rate": 3.917378917378917e-06,
2698
+ "loss": 0.4476,
2699
+ "step": 4350
2700
+ },
2701
+ {
2702
+ "epoch": 9.32,
2703
+ "learning_rate": 3.798670465337132e-06,
2704
+ "loss": 0.4887,
2705
+ "step": 4360
2706
+ },
2707
+ {
2708
+ "epoch": 9.34,
2709
+ "learning_rate": 3.679962013295347e-06,
2710
+ "loss": 0.5174,
2711
+ "step": 4370
2712
+ },
2713
+ {
2714
+ "epoch": 9.36,
2715
+ "learning_rate": 3.5612535612535615e-06,
2716
+ "loss": 0.423,
2717
+ "step": 4380
2718
+ },
2719
+ {
2720
+ "epoch": 9.38,
2721
+ "learning_rate": 3.442545109211776e-06,
2722
+ "loss": 0.4798,
2723
+ "step": 4390
2724
+ },
2725
+ {
2726
+ "epoch": 9.4,
2727
+ "learning_rate": 3.3238366571699908e-06,
2728
+ "loss": 0.4391,
2729
+ "step": 4400
2730
+ },
2731
+ {
2732
+ "epoch": 9.42,
2733
+ "learning_rate": 3.205128205128205e-06,
2734
+ "loss": 0.5056,
2735
+ "step": 4410
2736
+ },
2737
+ {
2738
+ "epoch": 9.44,
2739
+ "learning_rate": 3.0864197530864196e-06,
2740
+ "loss": 0.4621,
2741
+ "step": 4420
2742
+ },
2743
+ {
2744
+ "epoch": 9.47,
2745
+ "learning_rate": 2.9677113010446346e-06,
2746
+ "loss": 0.4783,
2747
+ "step": 4430
2748
+ },
2749
+ {
2750
+ "epoch": 9.49,
2751
+ "learning_rate": 2.8490028490028492e-06,
2752
+ "loss": 0.46,
2753
+ "step": 4440
2754
+ },
2755
+ {
2756
+ "epoch": 9.51,
2757
+ "learning_rate": 2.730294396961064e-06,
2758
+ "loss": 0.4905,
2759
+ "step": 4450
2760
+ },
2761
+ {
2762
+ "epoch": 9.53,
2763
+ "learning_rate": 2.6115859449192785e-06,
2764
+ "loss": 0.4581,
2765
+ "step": 4460
2766
+ },
2767
+ {
2768
+ "epoch": 9.55,
2769
+ "learning_rate": 2.492877492877493e-06,
2770
+ "loss": 0.4687,
2771
+ "step": 4470
2772
+ },
2773
+ {
2774
+ "epoch": 9.57,
2775
+ "learning_rate": 2.3741690408357077e-06,
2776
+ "loss": 0.4702,
2777
+ "step": 4480
2778
+ },
2779
+ {
2780
+ "epoch": 9.59,
2781
+ "learning_rate": 2.2554605887939223e-06,
2782
+ "loss": 0.4857,
2783
+ "step": 4490
2784
+ },
2785
+ {
2786
+ "epoch": 9.61,
2787
+ "learning_rate": 2.136752136752137e-06,
2788
+ "loss": 0.4641,
2789
+ "step": 4500
2790
+ },
2791
+ {
2792
+ "epoch": 9.64,
2793
+ "learning_rate": 2.0180436847103515e-06,
2794
+ "loss": 0.5004,
2795
+ "step": 4510
2796
+ },
2797
+ {
2798
+ "epoch": 9.66,
2799
+ "learning_rate": 1.899335232668566e-06,
2800
+ "loss": 0.4858,
2801
+ "step": 4520
2802
+ },
2803
+ {
2804
+ "epoch": 9.68,
2805
+ "learning_rate": 1.7806267806267808e-06,
2806
+ "loss": 0.4585,
2807
+ "step": 4530
2808
+ },
2809
+ {
2810
+ "epoch": 9.7,
2811
+ "learning_rate": 1.6619183285849954e-06,
2812
+ "loss": 0.4975,
2813
+ "step": 4540
2814
+ },
2815
+ {
2816
+ "epoch": 9.72,
2817
+ "learning_rate": 1.5432098765432098e-06,
2818
+ "loss": 0.4665,
2819
+ "step": 4550
2820
+ },
2821
+ {
2822
+ "epoch": 9.74,
2823
+ "learning_rate": 1.4245014245014246e-06,
2824
+ "loss": 0.4832,
2825
+ "step": 4560
2826
+ },
2827
+ {
2828
+ "epoch": 9.76,
2829
+ "learning_rate": 1.3057929724596392e-06,
2830
+ "loss": 0.4638,
2831
+ "step": 4570
2832
+ },
2833
+ {
2834
+ "epoch": 9.79,
2835
+ "learning_rate": 1.1870845204178538e-06,
2836
+ "loss": 0.4654,
2837
+ "step": 4580
2838
+ },
2839
+ {
2840
+ "epoch": 9.81,
2841
+ "learning_rate": 1.0683760683760685e-06,
2842
+ "loss": 0.5019,
2843
+ "step": 4590
2844
+ },
2845
+ {
2846
+ "epoch": 9.83,
2847
+ "learning_rate": 9.49667616334283e-07,
2848
+ "loss": 0.457,
2849
+ "step": 4600
2850
+ },
2851
+ {
2852
+ "epoch": 9.85,
2853
+ "learning_rate": 8.309591642924977e-07,
2854
+ "loss": 0.509,
2855
+ "step": 4610
2856
+ },
2857
+ {
2858
+ "epoch": 9.87,
2859
+ "learning_rate": 7.122507122507123e-07,
2860
+ "loss": 0.4658,
2861
+ "step": 4620
2862
+ },
2863
+ {
2864
+ "epoch": 9.89,
2865
+ "learning_rate": 5.935422602089269e-07,
2866
+ "loss": 0.428,
2867
+ "step": 4630
2868
+ },
2869
+ {
2870
+ "epoch": 9.91,
2871
+ "learning_rate": 4.748338081671415e-07,
2872
+ "loss": 0.4631,
2873
+ "step": 4640
2874
+ },
2875
+ {
2876
+ "epoch": 9.93,
2877
+ "learning_rate": 3.5612535612535615e-07,
2878
+ "loss": 0.4929,
2879
+ "step": 4650
2880
+ },
2881
+ {
2882
+ "epoch": 9.96,
2883
+ "learning_rate": 2.3741690408357074e-07,
2884
+ "loss": 0.4634,
2885
+ "step": 4660
2886
+ },
2887
+ {
2888
+ "epoch": 9.98,
2889
+ "learning_rate": 1.1870845204178537e-07,
2890
+ "loss": 0.4831,
2891
+ "step": 4670
2892
+ },
2893
+ {
2894
+ "epoch": 10.0,
2895
+ "learning_rate": 0.0,
2896
+ "loss": 0.4526,
2897
+ "step": 4680
2898
+ },
2899
+ {
2900
+ "epoch": 10.0,
2901
+ "eval_accuracy": 0.8358,
2902
+ "eval_loss": 0.47183701395988464,
2903
+ "eval_runtime": 21.5096,
2904
+ "eval_samples_per_second": 464.91,
2905
+ "eval_steps_per_second": 14.552,
2906
+ "step": 4680
2907
+ },
2908
+ {
2909
+ "epoch": 10.0,
2910
+ "step": 4680,
2911
+ "total_flos": 1.2118658355831767e+18,
2912
+ "train_loss": 0.6860576226161077,
2913
+ "train_runtime": 2151.6233,
2914
+ "train_samples_per_second": 278.859,
2915
+ "train_steps_per_second": 2.175
2916
+ }
2917
+ ],
2918
+ "max_steps": 4680,
2919
+ "num_train_epochs": 10,
2920
+ "total_flos": 1.2118658355831767e+18,
2921
+ "trial_name": null,
2922
+ "trial_params": null
2923
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:440c24fe9b5809d425720db49a6425bce1fb4996a74b27cbe2858147684ad4b3
3
+ size 3387