redbioma commited on
Commit
c857f09
·
verified ·
1 Parent(s): 77fb514

🍻 cheers

Browse files
README.md CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
3
  license: apache-2.0
4
  base_model: microsoft/swin-base-simmim-window6-192
5
  tags:
 
6
  - generated_from_trainer
7
  metrics:
8
  - accuracy
@@ -17,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  # swin-CEMEDE-og
19
 
20
- This model is a fine-tuned version of [microsoft/swin-base-simmim-window6-192](https://huggingface.co/microsoft/swin-base-simmim-window6-192) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 1.6222
23
- - Accuracy: 0.6914
24
- - F1: 0.6998
25
 
26
  ## Model description
27
 
 
3
  license: apache-2.0
4
  base_model: microsoft/swin-base-simmim-window6-192
5
  tags:
6
+ - image-classification
7
  - generated_from_trainer
8
  metrics:
9
  - accuracy
 
18
 
19
  # swin-CEMEDE-og
20
 
21
+ This model is a fine-tuned version of [microsoft/swin-base-simmim-window6-192](https://huggingface.co/microsoft/swin-base-simmim-window6-192) on the cemede dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.1858
24
+ - Accuracy: 0.6981
25
+ - F1: 0.6559
26
 
27
  ## Model description
28
 
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.4615384615384617,
3
+ "eval_accuracy": 0.6980504041844984,
4
+ "eval_f1": 0.6558579987834274,
5
+ "eval_loss": 1.1857682466506958,
6
+ "eval_runtime": 16.2624,
7
+ "eval_samples_per_second": 129.317,
8
+ "eval_steps_per_second": 16.172,
9
+ "total_flos": 1.4730716562599117e+18,
10
+ "train_loss": 0.7703810732765123,
11
+ "train_runtime": 1237.8817,
12
+ "train_samples_per_second": 41.987,
13
+ "train_steps_per_second": 5.251
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.4615384615384617,
3
+ "eval_accuracy": 0.6980504041844984,
4
+ "eval_f1": 0.6558579987834274,
5
+ "eval_loss": 1.1857682466506958,
6
+ "eval_runtime": 16.2624,
7
+ "eval_samples_per_second": 129.317,
8
+ "eval_steps_per_second": 16.172
9
+ }
runs/Aug19_03-31-49_instance-camaras/events.out.tfevents.1755575582.instance-camaras ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a258e28142947c28f137ff0297d860502f69ff67c8ab4f5f21240e837873572
3
+ size 40
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.4615384615384617,
3
+ "total_flos": 1.4730716562599117e+18,
4
+ "train_loss": 0.7703810732765123,
5
+ "train_runtime": 1237.8817,
6
+ "train_samples_per_second": 41.987,
7
+ "train_steps_per_second": 5.251
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2612 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 2200,
3
+ "best_metric": 1.1857682466506958,
4
+ "best_model_checkpoint": "./swin-CEMEDE-og/checkpoint-2200",
5
+ "epoch": 2.4615384615384617,
6
+ "eval_steps": 100,
7
+ "global_step": 3200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.007692307692307693,
14
+ "grad_norm": 7.144713878631592,
15
+ "learning_rate": 0.0001997846153846154,
16
+ "loss": 3.0562,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.015384615384615385,
21
+ "grad_norm": 5.92962121963501,
22
+ "learning_rate": 0.00019947692307692308,
23
+ "loss": 2.9181,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.023076923076923078,
28
+ "grad_norm": 5.384518623352051,
29
+ "learning_rate": 0.00019916923076923078,
30
+ "loss": 2.5873,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.03076923076923077,
35
+ "grad_norm": 7.259673595428467,
36
+ "learning_rate": 0.00019886153846153848,
37
+ "loss": 2.3762,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.038461538461538464,
42
+ "grad_norm": 26.426013946533203,
43
+ "learning_rate": 0.00019855384615384615,
44
+ "loss": 2.2314,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.046153846153846156,
49
+ "grad_norm": 8.41970443725586,
50
+ "learning_rate": 0.00019824615384615385,
51
+ "loss": 2.2786,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05384615384615385,
56
+ "grad_norm": 11.384262084960938,
57
+ "learning_rate": 0.00019793846153846154,
58
+ "loss": 2.0303,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.06153846153846154,
63
+ "grad_norm": 18.49128532409668,
64
+ "learning_rate": 0.00019763076923076924,
65
+ "loss": 2.4008,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.06923076923076923,
70
+ "grad_norm": 23.756940841674805,
71
+ "learning_rate": 0.0001973230769230769,
72
+ "loss": 2.303,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.07692307692307693,
77
+ "grad_norm": 20.41860008239746,
78
+ "learning_rate": 0.00019701538461538464,
79
+ "loss": 1.8432,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.07692307692307693,
84
+ "eval_accuracy": 0.2700903471231574,
85
+ "eval_f1": 0.0752665463620144,
86
+ "eval_loss": 2.366211175918579,
87
+ "eval_runtime": 17.3804,
88
+ "eval_samples_per_second": 120.998,
89
+ "eval_steps_per_second": 15.132,
90
+ "step": 100
91
+ },
92
+ {
93
+ "epoch": 0.08461538461538462,
94
+ "grad_norm": 7.769390106201172,
95
+ "learning_rate": 0.00019670769230769233,
96
+ "loss": 2.3191,
97
+ "step": 110
98
+ },
99
+ {
100
+ "epoch": 0.09230769230769231,
101
+ "grad_norm": 7.075199604034424,
102
+ "learning_rate": 0.0001964,
103
+ "loss": 2.1974,
104
+ "step": 120
105
+ },
106
+ {
107
+ "epoch": 0.1,
108
+ "grad_norm": 6.722231864929199,
109
+ "learning_rate": 0.0001960923076923077,
110
+ "loss": 2.0883,
111
+ "step": 130
112
+ },
113
+ {
114
+ "epoch": 0.1076923076923077,
115
+ "grad_norm": 11.50701904296875,
116
+ "learning_rate": 0.0001957846153846154,
117
+ "loss": 2.0552,
118
+ "step": 140
119
+ },
120
+ {
121
+ "epoch": 0.11538461538461539,
122
+ "grad_norm": 9.796704292297363,
123
+ "learning_rate": 0.0001954769230769231,
124
+ "loss": 1.825,
125
+ "step": 150
126
+ },
127
+ {
128
+ "epoch": 0.12307692307692308,
129
+ "grad_norm": 12.021738052368164,
130
+ "learning_rate": 0.00019516923076923077,
131
+ "loss": 2.0594,
132
+ "step": 160
133
+ },
134
+ {
135
+ "epoch": 0.13076923076923078,
136
+ "grad_norm": 19.825368881225586,
137
+ "learning_rate": 0.00019486153846153846,
138
+ "loss": 2.1824,
139
+ "step": 170
140
+ },
141
+ {
142
+ "epoch": 0.13846153846153847,
143
+ "grad_norm": 10.117398262023926,
144
+ "learning_rate": 0.00019455384615384616,
145
+ "loss": 1.5826,
146
+ "step": 180
147
+ },
148
+ {
149
+ "epoch": 0.14615384615384616,
150
+ "grad_norm": 18.77071189880371,
151
+ "learning_rate": 0.00019424615384615386,
152
+ "loss": 1.8809,
153
+ "step": 190
154
+ },
155
+ {
156
+ "epoch": 0.15384615384615385,
157
+ "grad_norm": 10.90501594543457,
158
+ "learning_rate": 0.00019393846153846155,
159
+ "loss": 2.1796,
160
+ "step": 200
161
+ },
162
+ {
163
+ "epoch": 0.15384615384615385,
164
+ "eval_accuracy": 0.25297194484070373,
165
+ "eval_f1": 0.09419040994691133,
166
+ "eval_loss": 2.282301902770996,
167
+ "eval_runtime": 17.53,
168
+ "eval_samples_per_second": 119.966,
169
+ "eval_steps_per_second": 15.003,
170
+ "step": 200
171
+ },
172
+ {
173
+ "epoch": 0.16153846153846155,
174
+ "grad_norm": 6.463944435119629,
175
+ "learning_rate": 0.00019363076923076923,
176
+ "loss": 1.6016,
177
+ "step": 210
178
+ },
179
+ {
180
+ "epoch": 0.16923076923076924,
181
+ "grad_norm": 9.3544282913208,
182
+ "learning_rate": 0.00019332307692307695,
183
+ "loss": 1.8538,
184
+ "step": 220
185
+ },
186
+ {
187
+ "epoch": 0.17692307692307693,
188
+ "grad_norm": 6.241270542144775,
189
+ "learning_rate": 0.00019301538461538462,
190
+ "loss": 1.6121,
191
+ "step": 230
192
+ },
193
+ {
194
+ "epoch": 0.18461538461538463,
195
+ "grad_norm": 8.373316764831543,
196
+ "learning_rate": 0.00019270769230769232,
197
+ "loss": 1.7752,
198
+ "step": 240
199
+ },
200
+ {
201
+ "epoch": 0.19230769230769232,
202
+ "grad_norm": 11.301222801208496,
203
+ "learning_rate": 0.00019240000000000001,
204
+ "loss": 1.6415,
205
+ "step": 250
206
+ },
207
+ {
208
+ "epoch": 0.2,
209
+ "grad_norm": 7.213001251220703,
210
+ "learning_rate": 0.0001920923076923077,
211
+ "loss": 1.5378,
212
+ "step": 260
213
+ },
214
+ {
215
+ "epoch": 0.2076923076923077,
216
+ "grad_norm": 8.698652267456055,
217
+ "learning_rate": 0.00019178461538461538,
218
+ "loss": 1.6107,
219
+ "step": 270
220
+ },
221
+ {
222
+ "epoch": 0.2153846153846154,
223
+ "grad_norm": 10.505064964294434,
224
+ "learning_rate": 0.00019147692307692308,
225
+ "loss": 1.6429,
226
+ "step": 280
227
+ },
228
+ {
229
+ "epoch": 0.2230769230769231,
230
+ "grad_norm": 5.8513994216918945,
231
+ "learning_rate": 0.00019116923076923078,
232
+ "loss": 2.1249,
233
+ "step": 290
234
+ },
235
+ {
236
+ "epoch": 0.23076923076923078,
237
+ "grad_norm": 7.619858741760254,
238
+ "learning_rate": 0.00019086153846153847,
239
+ "loss": 1.6271,
240
+ "step": 300
241
+ },
242
+ {
243
+ "epoch": 0.23076923076923078,
244
+ "eval_accuracy": 0.37327627199239183,
245
+ "eval_f1": 0.11465288061561454,
246
+ "eval_loss": 1.8295254707336426,
247
+ "eval_runtime": 17.4013,
248
+ "eval_samples_per_second": 120.853,
249
+ "eval_steps_per_second": 15.114,
250
+ "step": 300
251
+ },
252
+ {
253
+ "epoch": 0.23846153846153847,
254
+ "grad_norm": 7.406742095947266,
255
+ "learning_rate": 0.00019055384615384617,
256
+ "loss": 1.5597,
257
+ "step": 310
258
+ },
259
+ {
260
+ "epoch": 0.24615384615384617,
261
+ "grad_norm": 10.763725280761719,
262
+ "learning_rate": 0.00019024615384615384,
263
+ "loss": 1.7452,
264
+ "step": 320
265
+ },
266
+ {
267
+ "epoch": 0.25384615384615383,
268
+ "grad_norm": 14.472305297851562,
269
+ "learning_rate": 0.00018993846153846157,
270
+ "loss": 1.5783,
271
+ "step": 330
272
+ },
273
+ {
274
+ "epoch": 0.26153846153846155,
275
+ "grad_norm": 9.777316093444824,
276
+ "learning_rate": 0.00018963076923076924,
277
+ "loss": 1.7137,
278
+ "step": 340
279
+ },
280
+ {
281
+ "epoch": 0.2692307692307692,
282
+ "grad_norm": 16.123266220092773,
283
+ "learning_rate": 0.00018932307692307693,
284
+ "loss": 1.775,
285
+ "step": 350
286
+ },
287
+ {
288
+ "epoch": 0.27692307692307694,
289
+ "grad_norm": 12.052675247192383,
290
+ "learning_rate": 0.0001890153846153846,
291
+ "loss": 1.568,
292
+ "step": 360
293
+ },
294
+ {
295
+ "epoch": 0.2846153846153846,
296
+ "grad_norm": 14.738709449768066,
297
+ "learning_rate": 0.00018870769230769233,
298
+ "loss": 1.461,
299
+ "step": 370
300
+ },
301
+ {
302
+ "epoch": 0.2923076923076923,
303
+ "grad_norm": 13.176900863647461,
304
+ "learning_rate": 0.0001884,
305
+ "loss": 1.4941,
306
+ "step": 380
307
+ },
308
+ {
309
+ "epoch": 0.3,
310
+ "grad_norm": 18.236370086669922,
311
+ "learning_rate": 0.0001880923076923077,
312
+ "loss": 1.5973,
313
+ "step": 390
314
+ },
315
+ {
316
+ "epoch": 0.3076923076923077,
317
+ "grad_norm": 11.671727180480957,
318
+ "learning_rate": 0.0001877846153846154,
319
+ "loss": 1.4289,
320
+ "step": 400
321
+ },
322
+ {
323
+ "epoch": 0.3076923076923077,
324
+ "eval_accuracy": 0.38516405135520687,
325
+ "eval_f1": 0.1993193400693047,
326
+ "eval_loss": 2.016322612762451,
327
+ "eval_runtime": 17.1557,
328
+ "eval_samples_per_second": 122.583,
329
+ "eval_steps_per_second": 15.33,
330
+ "step": 400
331
+ },
332
+ {
333
+ "epoch": 0.3153846153846154,
334
+ "grad_norm": 16.974281311035156,
335
+ "learning_rate": 0.0001874769230769231,
336
+ "loss": 1.4924,
337
+ "step": 410
338
+ },
339
+ {
340
+ "epoch": 0.3230769230769231,
341
+ "grad_norm": 6.016011714935303,
342
+ "learning_rate": 0.0001871692307692308,
343
+ "loss": 1.6328,
344
+ "step": 420
345
+ },
346
+ {
347
+ "epoch": 0.33076923076923076,
348
+ "grad_norm": 6.669319152832031,
349
+ "learning_rate": 0.00018686153846153846,
350
+ "loss": 1.4562,
351
+ "step": 430
352
+ },
353
+ {
354
+ "epoch": 0.3384615384615385,
355
+ "grad_norm": 11.591141700744629,
356
+ "learning_rate": 0.00018655384615384616,
357
+ "loss": 1.2004,
358
+ "step": 440
359
+ },
360
+ {
361
+ "epoch": 0.34615384615384615,
362
+ "grad_norm": 7.328090190887451,
363
+ "learning_rate": 0.00018624615384615385,
364
+ "loss": 1.1089,
365
+ "step": 450
366
+ },
367
+ {
368
+ "epoch": 0.35384615384615387,
369
+ "grad_norm": 15.245463371276855,
370
+ "learning_rate": 0.00018593846153846155,
371
+ "loss": 1.6371,
372
+ "step": 460
373
+ },
374
+ {
375
+ "epoch": 0.36153846153846153,
376
+ "grad_norm": 8.602375984191895,
377
+ "learning_rate": 0.00018563076923076922,
378
+ "loss": 1.3964,
379
+ "step": 470
380
+ },
381
+ {
382
+ "epoch": 0.36923076923076925,
383
+ "grad_norm": 12.814948081970215,
384
+ "learning_rate": 0.00018532307692307694,
385
+ "loss": 1.5817,
386
+ "step": 480
387
+ },
388
+ {
389
+ "epoch": 0.3769230769230769,
390
+ "grad_norm": 5.824203968048096,
391
+ "learning_rate": 0.00018501538461538464,
392
+ "loss": 1.3926,
393
+ "step": 490
394
+ },
395
+ {
396
+ "epoch": 0.38461538461538464,
397
+ "grad_norm": 36.3005485534668,
398
+ "learning_rate": 0.0001847076923076923,
399
+ "loss": 1.3642,
400
+ "step": 500
401
+ },
402
+ {
403
+ "epoch": 0.38461538461538464,
404
+ "eval_accuracy": 0.367094626723728,
405
+ "eval_f1": 0.20329775728578317,
406
+ "eval_loss": 2.1800456047058105,
407
+ "eval_runtime": 17.1824,
408
+ "eval_samples_per_second": 122.393,
409
+ "eval_steps_per_second": 15.306,
410
+ "step": 500
411
+ },
412
+ {
413
+ "epoch": 0.3923076923076923,
414
+ "grad_norm": 8.01819896697998,
415
+ "learning_rate": 0.0001844,
416
+ "loss": 1.2935,
417
+ "step": 510
418
+ },
419
+ {
420
+ "epoch": 0.4,
421
+ "grad_norm": 8.656233787536621,
422
+ "learning_rate": 0.0001840923076923077,
423
+ "loss": 1.1997,
424
+ "step": 520
425
+ },
426
+ {
427
+ "epoch": 0.4076923076923077,
428
+ "grad_norm": 6.317253112792969,
429
+ "learning_rate": 0.0001837846153846154,
430
+ "loss": 1.0985,
431
+ "step": 530
432
+ },
433
+ {
434
+ "epoch": 0.4153846153846154,
435
+ "grad_norm": 7.962673187255859,
436
+ "learning_rate": 0.00018347692307692307,
437
+ "loss": 1.458,
438
+ "step": 540
439
+ },
440
+ {
441
+ "epoch": 0.4230769230769231,
442
+ "grad_norm": 10.992396354675293,
443
+ "learning_rate": 0.00018316923076923077,
444
+ "loss": 1.486,
445
+ "step": 550
446
+ },
447
+ {
448
+ "epoch": 0.4307692307692308,
449
+ "grad_norm": 14.568922996520996,
450
+ "learning_rate": 0.00018286153846153847,
451
+ "loss": 1.2398,
452
+ "step": 560
453
+ },
454
+ {
455
+ "epoch": 0.43846153846153846,
456
+ "grad_norm": 7.11242151260376,
457
+ "learning_rate": 0.00018255384615384617,
458
+ "loss": 1.1983,
459
+ "step": 570
460
+ },
461
+ {
462
+ "epoch": 0.4461538461538462,
463
+ "grad_norm": 6.080781936645508,
464
+ "learning_rate": 0.00018224615384615384,
465
+ "loss": 1.3684,
466
+ "step": 580
467
+ },
468
+ {
469
+ "epoch": 0.45384615384615384,
470
+ "grad_norm": 12.884486198425293,
471
+ "learning_rate": 0.00018193846153846153,
472
+ "loss": 1.5237,
473
+ "step": 590
474
+ },
475
+ {
476
+ "epoch": 0.46153846153846156,
477
+ "grad_norm": 6.5119309425354,
478
+ "learning_rate": 0.00018163076923076926,
479
+ "loss": 1.1096,
480
+ "step": 600
481
+ },
482
+ {
483
+ "epoch": 0.46153846153846156,
484
+ "eval_accuracy": 0.42320494531621494,
485
+ "eval_f1": 0.3145521897777244,
486
+ "eval_loss": 1.919480800628662,
487
+ "eval_runtime": 17.0222,
488
+ "eval_samples_per_second": 123.544,
489
+ "eval_steps_per_second": 15.45,
490
+ "step": 600
491
+ },
492
+ {
493
+ "epoch": 0.46923076923076923,
494
+ "grad_norm": 17.73822784423828,
495
+ "learning_rate": 0.00018132307692307693,
496
+ "loss": 0.9121,
497
+ "step": 610
498
+ },
499
+ {
500
+ "epoch": 0.47692307692307695,
501
+ "grad_norm": 11.554949760437012,
502
+ "learning_rate": 0.00018101538461538463,
503
+ "loss": 1.0344,
504
+ "step": 620
505
+ },
506
+ {
507
+ "epoch": 0.4846153846153846,
508
+ "grad_norm": 7.605045318603516,
509
+ "learning_rate": 0.00018070769230769232,
510
+ "loss": 1.5013,
511
+ "step": 630
512
+ },
513
+ {
514
+ "epoch": 0.49230769230769234,
515
+ "grad_norm": 21.52901840209961,
516
+ "learning_rate": 0.00018040000000000002,
517
+ "loss": 1.1534,
518
+ "step": 640
519
+ },
520
+ {
521
+ "epoch": 0.5,
522
+ "grad_norm": 12.664295196533203,
523
+ "learning_rate": 0.0001800923076923077,
524
+ "loss": 1.4119,
525
+ "step": 650
526
+ },
527
+ {
528
+ "epoch": 0.5076923076923077,
529
+ "grad_norm": 11.862523078918457,
530
+ "learning_rate": 0.0001797846153846154,
531
+ "loss": 0.887,
532
+ "step": 660
533
+ },
534
+ {
535
+ "epoch": 0.5153846153846153,
536
+ "grad_norm": 13.69426441192627,
537
+ "learning_rate": 0.00017947692307692309,
538
+ "loss": 1.1037,
539
+ "step": 670
540
+ },
541
+ {
542
+ "epoch": 0.5230769230769231,
543
+ "grad_norm": 6.051742076873779,
544
+ "learning_rate": 0.00017916923076923078,
545
+ "loss": 1.1411,
546
+ "step": 680
547
+ },
548
+ {
549
+ "epoch": 0.5307692307692308,
550
+ "grad_norm": 13.97260570526123,
551
+ "learning_rate": 0.00017886153846153848,
552
+ "loss": 1.445,
553
+ "step": 690
554
+ },
555
+ {
556
+ "epoch": 0.5384615384615384,
557
+ "grad_norm": 9.275891304016113,
558
+ "learning_rate": 0.00017855384615384615,
559
+ "loss": 0.8354,
560
+ "step": 700
561
+ },
562
+ {
563
+ "epoch": 0.5384615384615384,
564
+ "eval_accuracy": 0.4194008559201141,
565
+ "eval_f1": 0.2766352793369704,
566
+ "eval_loss": 2.176583766937256,
567
+ "eval_runtime": 17.1383,
568
+ "eval_samples_per_second": 122.707,
569
+ "eval_steps_per_second": 15.346,
570
+ "step": 700
571
+ },
572
+ {
573
+ "epoch": 0.5461538461538461,
574
+ "grad_norm": 9.724885940551758,
575
+ "learning_rate": 0.00017824615384615388,
576
+ "loss": 1.1201,
577
+ "step": 710
578
+ },
579
+ {
580
+ "epoch": 0.5538461538461539,
581
+ "grad_norm": 16.569068908691406,
582
+ "learning_rate": 0.00017793846153846155,
583
+ "loss": 0.9748,
584
+ "step": 720
585
+ },
586
+ {
587
+ "epoch": 0.5615384615384615,
588
+ "grad_norm": 5.005148410797119,
589
+ "learning_rate": 0.00017763076923076924,
590
+ "loss": 1.028,
591
+ "step": 730
592
+ },
593
+ {
594
+ "epoch": 0.5692307692307692,
595
+ "grad_norm": 12.425468444824219,
596
+ "learning_rate": 0.0001773230769230769,
597
+ "loss": 0.9376,
598
+ "step": 740
599
+ },
600
+ {
601
+ "epoch": 0.5769230769230769,
602
+ "grad_norm": 18.23019790649414,
603
+ "learning_rate": 0.00017701538461538464,
604
+ "loss": 0.9154,
605
+ "step": 750
606
+ },
607
+ {
608
+ "epoch": 0.5846153846153846,
609
+ "grad_norm": 13.129063606262207,
610
+ "learning_rate": 0.0001767076923076923,
611
+ "loss": 1.0405,
612
+ "step": 760
613
+ },
614
+ {
615
+ "epoch": 0.5923076923076923,
616
+ "grad_norm": 22.279123306274414,
617
+ "learning_rate": 0.0001764,
618
+ "loss": 1.126,
619
+ "step": 770
620
+ },
621
+ {
622
+ "epoch": 0.6,
623
+ "grad_norm": 30.904468536376953,
624
+ "learning_rate": 0.0001760923076923077,
625
+ "loss": 1.0548,
626
+ "step": 780
627
+ },
628
+ {
629
+ "epoch": 0.6076923076923076,
630
+ "grad_norm": 24.71080207824707,
631
+ "learning_rate": 0.0001757846153846154,
632
+ "loss": 1.0727,
633
+ "step": 790
634
+ },
635
+ {
636
+ "epoch": 0.6153846153846154,
637
+ "grad_norm": 11.904009819030762,
638
+ "learning_rate": 0.0001754769230769231,
639
+ "loss": 1.0878,
640
+ "step": 800
641
+ },
642
+ {
643
+ "epoch": 0.6153846153846154,
644
+ "eval_accuracy": 0.4816928197812649,
645
+ "eval_f1": 0.3524875211866814,
646
+ "eval_loss": 1.8269426822662354,
647
+ "eval_runtime": 16.8898,
648
+ "eval_samples_per_second": 124.513,
649
+ "eval_steps_per_second": 15.572,
650
+ "step": 800
651
+ },
652
+ {
653
+ "epoch": 0.6230769230769231,
654
+ "grad_norm": 6.691661834716797,
655
+ "learning_rate": 0.00017516923076923077,
656
+ "loss": 0.9675,
657
+ "step": 810
658
+ },
659
+ {
660
+ "epoch": 0.6307692307692307,
661
+ "grad_norm": 10.574451446533203,
662
+ "learning_rate": 0.00017486153846153846,
663
+ "loss": 0.7767,
664
+ "step": 820
665
+ },
666
+ {
667
+ "epoch": 0.6384615384615384,
668
+ "grad_norm": 30.280406951904297,
669
+ "learning_rate": 0.00017455384615384616,
670
+ "loss": 0.9531,
671
+ "step": 830
672
+ },
673
+ {
674
+ "epoch": 0.6461538461538462,
675
+ "grad_norm": 7.445671558380127,
676
+ "learning_rate": 0.00017424615384615386,
677
+ "loss": 0.9121,
678
+ "step": 840
679
+ },
680
+ {
681
+ "epoch": 0.6538461538461539,
682
+ "grad_norm": 7.3660197257995605,
683
+ "learning_rate": 0.00017393846153846153,
684
+ "loss": 1.0982,
685
+ "step": 850
686
+ },
687
+ {
688
+ "epoch": 0.6615384615384615,
689
+ "grad_norm": 9.792448043823242,
690
+ "learning_rate": 0.00017363076923076925,
691
+ "loss": 1.2213,
692
+ "step": 860
693
+ },
694
+ {
695
+ "epoch": 0.6692307692307692,
696
+ "grad_norm": 5.618622303009033,
697
+ "learning_rate": 0.00017332307692307692,
698
+ "loss": 0.8793,
699
+ "step": 870
700
+ },
701
+ {
702
+ "epoch": 0.676923076923077,
703
+ "grad_norm": 22.627748489379883,
704
+ "learning_rate": 0.00017301538461538462,
705
+ "loss": 1.082,
706
+ "step": 880
707
+ },
708
+ {
709
+ "epoch": 0.6846153846153846,
710
+ "grad_norm": 9.48766040802002,
711
+ "learning_rate": 0.00017270769230769232,
712
+ "loss": 0.8621,
713
+ "step": 890
714
+ },
715
+ {
716
+ "epoch": 0.6923076923076923,
717
+ "grad_norm": 24.730266571044922,
718
+ "learning_rate": 0.00017240000000000002,
719
+ "loss": 0.914,
720
+ "step": 900
721
+ },
722
+ {
723
+ "epoch": 0.6923076923076923,
724
+ "eval_accuracy": 0.43271516880646693,
725
+ "eval_f1": 0.34628263675090787,
726
+ "eval_loss": 1.91328763961792,
727
+ "eval_runtime": 16.8584,
728
+ "eval_samples_per_second": 124.745,
729
+ "eval_steps_per_second": 15.6,
730
+ "step": 900
731
+ },
732
+ {
733
+ "epoch": 0.7,
734
+ "grad_norm": 13.59035587310791,
735
+ "learning_rate": 0.00017209230769230771,
736
+ "loss": 1.1103,
737
+ "step": 910
738
+ },
739
+ {
740
+ "epoch": 0.7076923076923077,
741
+ "grad_norm": 9.603906631469727,
742
+ "learning_rate": 0.00017178461538461538,
743
+ "loss": 0.7811,
744
+ "step": 920
745
+ },
746
+ {
747
+ "epoch": 0.7153846153846154,
748
+ "grad_norm": 19.249000549316406,
749
+ "learning_rate": 0.00017147692307692308,
750
+ "loss": 0.9351,
751
+ "step": 930
752
+ },
753
+ {
754
+ "epoch": 0.7230769230769231,
755
+ "grad_norm": 13.113324165344238,
756
+ "learning_rate": 0.00017116923076923078,
757
+ "loss": 1.0619,
758
+ "step": 940
759
+ },
760
+ {
761
+ "epoch": 0.7307692307692307,
762
+ "grad_norm": 20.005496978759766,
763
+ "learning_rate": 0.00017086153846153848,
764
+ "loss": 1.2258,
765
+ "step": 950
766
+ },
767
+ {
768
+ "epoch": 0.7384615384615385,
769
+ "grad_norm": 12.253059387207031,
770
+ "learning_rate": 0.00017058461538461538,
771
+ "loss": 1.0816,
772
+ "step": 960
773
+ },
774
+ {
775
+ "epoch": 0.7461538461538462,
776
+ "grad_norm": 41.702003479003906,
777
+ "learning_rate": 0.00017027692307692308,
778
+ "loss": 1.0357,
779
+ "step": 970
780
+ },
781
+ {
782
+ "epoch": 0.7538461538461538,
783
+ "grad_norm": 4.093587875366211,
784
+ "learning_rate": 0.00016996923076923078,
785
+ "loss": 0.7962,
786
+ "step": 980
787
+ },
788
+ {
789
+ "epoch": 0.7615384615384615,
790
+ "grad_norm": 20.035123825073242,
791
+ "learning_rate": 0.00016966153846153847,
792
+ "loss": 0.8937,
793
+ "step": 990
794
+ },
795
+ {
796
+ "epoch": 0.7692307692307693,
797
+ "grad_norm": 8.77906608581543,
798
+ "learning_rate": 0.00016935384615384614,
799
+ "loss": 1.1427,
800
+ "step": 1000
801
+ },
802
+ {
803
+ "epoch": 0.7692307692307693,
804
+ "eval_accuracy": 0.4631478839752734,
805
+ "eval_f1": 0.35377031489424154,
806
+ "eval_loss": 2.132183790206909,
807
+ "eval_runtime": 17.1092,
808
+ "eval_samples_per_second": 122.916,
809
+ "eval_steps_per_second": 15.372,
810
+ "step": 1000
811
+ },
812
+ {
813
+ "epoch": 0.7769230769230769,
814
+ "grad_norm": 16.018142700195312,
815
+ "learning_rate": 0.00016904615384615384,
816
+ "loss": 0.934,
817
+ "step": 1010
818
+ },
819
+ {
820
+ "epoch": 0.7846153846153846,
821
+ "grad_norm": 8.596650123596191,
822
+ "learning_rate": 0.00016873846153846157,
823
+ "loss": 0.7443,
824
+ "step": 1020
825
+ },
826
+ {
827
+ "epoch": 0.7923076923076923,
828
+ "grad_norm": 13.7733154296875,
829
+ "learning_rate": 0.00016843076923076924,
830
+ "loss": 0.6869,
831
+ "step": 1030
832
+ },
833
+ {
834
+ "epoch": 0.8,
835
+ "grad_norm": 6.614993095397949,
836
+ "learning_rate": 0.00016812307692307693,
837
+ "loss": 0.5686,
838
+ "step": 1040
839
+ },
840
+ {
841
+ "epoch": 0.8076923076923077,
842
+ "grad_norm": 11.154041290283203,
843
+ "learning_rate": 0.00016781538461538463,
844
+ "loss": 0.8153,
845
+ "step": 1050
846
+ },
847
+ {
848
+ "epoch": 0.8153846153846154,
849
+ "grad_norm": 15.175039291381836,
850
+ "learning_rate": 0.00016750769230769233,
851
+ "loss": 0.7427,
852
+ "step": 1060
853
+ },
854
+ {
855
+ "epoch": 0.823076923076923,
856
+ "grad_norm": 12.188551902770996,
857
+ "learning_rate": 0.0001672,
858
+ "loss": 0.9176,
859
+ "step": 1070
860
+ },
861
+ {
862
+ "epoch": 0.8307692307692308,
863
+ "grad_norm": 11.365070343017578,
864
+ "learning_rate": 0.0001668923076923077,
865
+ "loss": 0.7499,
866
+ "step": 1080
867
+ },
868
+ {
869
+ "epoch": 0.8384615384615385,
870
+ "grad_norm": 8.947319984436035,
871
+ "learning_rate": 0.0001665846153846154,
872
+ "loss": 0.8608,
873
+ "step": 1090
874
+ },
875
+ {
876
+ "epoch": 0.8461538461538461,
877
+ "grad_norm": 10.087491989135742,
878
+ "learning_rate": 0.0001662769230769231,
879
+ "loss": 0.6925,
880
+ "step": 1100
881
+ },
882
+ {
883
+ "epoch": 0.8461538461538461,
884
+ "eval_accuracy": 0.46742748454588684,
885
+ "eval_f1": 0.38404138635975005,
886
+ "eval_loss": 2.0176453590393066,
887
+ "eval_runtime": 17.0667,
888
+ "eval_samples_per_second": 123.222,
889
+ "eval_steps_per_second": 15.41,
890
+ "step": 1100
891
+ },
892
+ {
893
+ "epoch": 0.8538461538461538,
894
+ "grad_norm": 15.46960163116455,
895
+ "learning_rate": 0.0001659692307692308,
896
+ "loss": 0.994,
897
+ "step": 1110
898
+ },
899
+ {
900
+ "epoch": 0.8615384615384616,
901
+ "grad_norm": 7.148074150085449,
902
+ "learning_rate": 0.00016566153846153846,
903
+ "loss": 0.8761,
904
+ "step": 1120
905
+ },
906
+ {
907
+ "epoch": 0.8692307692307693,
908
+ "grad_norm": 19.255523681640625,
909
+ "learning_rate": 0.00016535384615384618,
910
+ "loss": 0.7564,
911
+ "step": 1130
912
+ },
913
+ {
914
+ "epoch": 0.8769230769230769,
915
+ "grad_norm": 13.612154960632324,
916
+ "learning_rate": 0.00016504615384615385,
917
+ "loss": 0.8761,
918
+ "step": 1140
919
+ },
920
+ {
921
+ "epoch": 0.8846153846153846,
922
+ "grad_norm": 16.515607833862305,
923
+ "learning_rate": 0.00016473846153846155,
924
+ "loss": 0.851,
925
+ "step": 1150
926
+ },
927
+ {
928
+ "epoch": 0.8923076923076924,
929
+ "grad_norm": 3.3807168006896973,
930
+ "learning_rate": 0.00016443076923076922,
931
+ "loss": 0.7915,
932
+ "step": 1160
933
+ },
934
+ {
935
+ "epoch": 0.9,
936
+ "grad_norm": 4.669132232666016,
937
+ "learning_rate": 0.00016412307692307694,
938
+ "loss": 0.7991,
939
+ "step": 1170
940
+ },
941
+ {
942
+ "epoch": 0.9076923076923077,
943
+ "grad_norm": 5.773404598236084,
944
+ "learning_rate": 0.00016381538461538461,
945
+ "loss": 0.9838,
946
+ "step": 1180
947
+ },
948
+ {
949
+ "epoch": 0.9153846153846154,
950
+ "grad_norm": 6.2151713371276855,
951
+ "learning_rate": 0.0001635076923076923,
952
+ "loss": 0.7219,
953
+ "step": 1190
954
+ },
955
+ {
956
+ "epoch": 0.9230769230769231,
957
+ "grad_norm": 5.1845526695251465,
958
+ "learning_rate": 0.0001632,
959
+ "loss": 0.6051,
960
+ "step": 1200
961
+ },
962
+ {
963
+ "epoch": 0.9230769230769231,
964
+ "eval_accuracy": 0.5387541607227769,
965
+ "eval_f1": 0.44318237972042884,
966
+ "eval_loss": 1.749355673789978,
967
+ "eval_runtime": 16.8588,
968
+ "eval_samples_per_second": 124.742,
969
+ "eval_steps_per_second": 15.6,
970
+ "step": 1200
971
+ },
972
+ {
973
+ "epoch": 0.9307692307692308,
974
+ "grad_norm": 2.644609212875366,
975
+ "learning_rate": 0.0001628923076923077,
976
+ "loss": 0.8444,
977
+ "step": 1210
978
+ },
979
+ {
980
+ "epoch": 0.9384615384615385,
981
+ "grad_norm": 19.368057250976562,
982
+ "learning_rate": 0.0001625846153846154,
983
+ "loss": 1.0,
984
+ "step": 1220
985
+ },
986
+ {
987
+ "epoch": 0.9461538461538461,
988
+ "grad_norm": 4.127439498901367,
989
+ "learning_rate": 0.00016227692307692307,
990
+ "loss": 0.9056,
991
+ "step": 1230
992
+ },
993
+ {
994
+ "epoch": 0.9538461538461539,
995
+ "grad_norm": 11.336071014404297,
996
+ "learning_rate": 0.00016196923076923077,
997
+ "loss": 0.9195,
998
+ "step": 1240
999
+ },
1000
+ {
1001
+ "epoch": 0.9615384615384616,
1002
+ "grad_norm": 11.028383255004883,
1003
+ "learning_rate": 0.00016166153846153847,
1004
+ "loss": 0.6968,
1005
+ "step": 1250
1006
+ },
1007
+ {
1008
+ "epoch": 0.9692307692307692,
1009
+ "grad_norm": 24.071231842041016,
1010
+ "learning_rate": 0.00016135384615384617,
1011
+ "loss": 0.8775,
1012
+ "step": 1260
1013
+ },
1014
+ {
1015
+ "epoch": 0.9769230769230769,
1016
+ "grad_norm": 6.071271896362305,
1017
+ "learning_rate": 0.00016104615384615384,
1018
+ "loss": 0.7622,
1019
+ "step": 1270
1020
+ },
1021
+ {
1022
+ "epoch": 0.9846153846153847,
1023
+ "grad_norm": 5.132427215576172,
1024
+ "learning_rate": 0.00016073846153846156,
1025
+ "loss": 0.5779,
1026
+ "step": 1280
1027
+ },
1028
+ {
1029
+ "epoch": 0.9923076923076923,
1030
+ "grad_norm": 2.5813121795654297,
1031
+ "learning_rate": 0.00016043076923076923,
1032
+ "loss": 0.6235,
1033
+ "step": 1290
1034
+ },
1035
+ {
1036
+ "epoch": 1.0,
1037
+ "grad_norm": 21.588083267211914,
1038
+ "learning_rate": 0.00016012307692307693,
1039
+ "loss": 0.5078,
1040
+ "step": 1300
1041
+ },
1042
+ {
1043
+ "epoch": 1.0,
1044
+ "eval_accuracy": 0.5592011412268189,
1045
+ "eval_f1": 0.4331656284152636,
1046
+ "eval_loss": 1.7527055740356445,
1047
+ "eval_runtime": 16.9587,
1048
+ "eval_samples_per_second": 124.007,
1049
+ "eval_steps_per_second": 15.508,
1050
+ "step": 1300
1051
+ },
1052
+ {
1053
+ "epoch": 1.0076923076923077,
1054
+ "grad_norm": 8.418657302856445,
1055
+ "learning_rate": 0.00015981538461538463,
1056
+ "loss": 0.7152,
1057
+ "step": 1310
1058
+ },
1059
+ {
1060
+ "epoch": 1.0153846153846153,
1061
+ "grad_norm": 11.057409286499023,
1062
+ "learning_rate": 0.00015950769230769232,
1063
+ "loss": 0.8136,
1064
+ "step": 1320
1065
+ },
1066
+ {
1067
+ "epoch": 1.023076923076923,
1068
+ "grad_norm": 13.094758987426758,
1069
+ "learning_rate": 0.00015920000000000002,
1070
+ "loss": 0.8875,
1071
+ "step": 1330
1072
+ },
1073
+ {
1074
+ "epoch": 1.0307692307692307,
1075
+ "grad_norm": 2.214704990386963,
1076
+ "learning_rate": 0.0001588923076923077,
1077
+ "loss": 0.3971,
1078
+ "step": 1340
1079
+ },
1080
+ {
1081
+ "epoch": 1.0384615384615385,
1082
+ "grad_norm": 5.733521938323975,
1083
+ "learning_rate": 0.0001585846153846154,
1084
+ "loss": 0.6687,
1085
+ "step": 1350
1086
+ },
1087
+ {
1088
+ "epoch": 1.0461538461538462,
1089
+ "grad_norm": 3.178771734237671,
1090
+ "learning_rate": 0.00015827692307692309,
1091
+ "loss": 0.6676,
1092
+ "step": 1360
1093
+ },
1094
+ {
1095
+ "epoch": 1.0538461538461539,
1096
+ "grad_norm": 2.0382332801818848,
1097
+ "learning_rate": 0.00015796923076923078,
1098
+ "loss": 0.359,
1099
+ "step": 1370
1100
+ },
1101
+ {
1102
+ "epoch": 1.0615384615384615,
1103
+ "grad_norm": 5.142647743225098,
1104
+ "learning_rate": 0.00015766153846153845,
1105
+ "loss": 0.4274,
1106
+ "step": 1380
1107
+ },
1108
+ {
1109
+ "epoch": 1.0692307692307692,
1110
+ "grad_norm": 1.5120126008987427,
1111
+ "learning_rate": 0.00015735384615384615,
1112
+ "loss": 0.5067,
1113
+ "step": 1390
1114
+ },
1115
+ {
1116
+ "epoch": 1.0769230769230769,
1117
+ "grad_norm": 5.24946403503418,
1118
+ "learning_rate": 0.00015704615384615385,
1119
+ "loss": 0.5576,
1120
+ "step": 1400
1121
+ },
1122
+ {
1123
+ "epoch": 1.0769230769230769,
1124
+ "eval_accuracy": 0.5744174988112221,
1125
+ "eval_f1": 0.4794118900562854,
1126
+ "eval_loss": 1.7491551637649536,
1127
+ "eval_runtime": 16.4982,
1128
+ "eval_samples_per_second": 127.468,
1129
+ "eval_steps_per_second": 15.941,
1130
+ "step": 1400
1131
+ },
1132
+ {
1133
+ "epoch": 1.0846153846153845,
1134
+ "grad_norm": 10.425132751464844,
1135
+ "learning_rate": 0.00015673846153846155,
1136
+ "loss": 0.8697,
1137
+ "step": 1410
1138
+ },
1139
+ {
1140
+ "epoch": 1.0923076923076924,
1141
+ "grad_norm": 29.682703018188477,
1142
+ "learning_rate": 0.00015643076923076924,
1143
+ "loss": 0.9122,
1144
+ "step": 1420
1145
+ },
1146
+ {
1147
+ "epoch": 1.1,
1148
+ "grad_norm": 10.745546340942383,
1149
+ "learning_rate": 0.00015612307692307694,
1150
+ "loss": 0.7817,
1151
+ "step": 1430
1152
+ },
1153
+ {
1154
+ "epoch": 1.1076923076923078,
1155
+ "grad_norm": 20.857337951660156,
1156
+ "learning_rate": 0.00015581538461538464,
1157
+ "loss": 0.9322,
1158
+ "step": 1440
1159
+ },
1160
+ {
1161
+ "epoch": 1.1153846153846154,
1162
+ "grad_norm": 4.892547130584717,
1163
+ "learning_rate": 0.0001555076923076923,
1164
+ "loss": 0.8185,
1165
+ "step": 1450
1166
+ },
1167
+ {
1168
+ "epoch": 1.123076923076923,
1169
+ "grad_norm": 10.212249755859375,
1170
+ "learning_rate": 0.0001552,
1171
+ "loss": 0.7205,
1172
+ "step": 1460
1173
+ },
1174
+ {
1175
+ "epoch": 1.1307692307692307,
1176
+ "grad_norm": 9.745187759399414,
1177
+ "learning_rate": 0.0001548923076923077,
1178
+ "loss": 0.5231,
1179
+ "step": 1470
1180
+ },
1181
+ {
1182
+ "epoch": 1.1384615384615384,
1183
+ "grad_norm": 35.945106506347656,
1184
+ "learning_rate": 0.0001545846153846154,
1185
+ "loss": 0.5251,
1186
+ "step": 1480
1187
+ },
1188
+ {
1189
+ "epoch": 1.146153846153846,
1190
+ "grad_norm": 11.048771858215332,
1191
+ "learning_rate": 0.00015427692307692307,
1192
+ "loss": 0.6372,
1193
+ "step": 1490
1194
+ },
1195
+ {
1196
+ "epoch": 1.1538461538461537,
1197
+ "grad_norm": 24.183265686035156,
1198
+ "learning_rate": 0.00015396923076923077,
1199
+ "loss": 0.4983,
1200
+ "step": 1500
1201
+ },
1202
+ {
1203
+ "epoch": 1.1538461538461537,
1204
+ "eval_accuracy": 0.5563480741797432,
1205
+ "eval_f1": 0.5014821350190568,
1206
+ "eval_loss": 1.8451486825942993,
1207
+ "eval_runtime": 16.8698,
1208
+ "eval_samples_per_second": 124.661,
1209
+ "eval_steps_per_second": 15.59,
1210
+ "step": 1500
1211
+ },
1212
+ {
1213
+ "epoch": 1.1615384615384616,
1214
+ "grad_norm": 7.937176704406738,
1215
+ "learning_rate": 0.0001536615384615385,
1216
+ "loss": 0.7245,
1217
+ "step": 1510
1218
+ },
1219
+ {
1220
+ "epoch": 1.1692307692307693,
1221
+ "grad_norm": 11.171468734741211,
1222
+ "learning_rate": 0.00015335384615384616,
1223
+ "loss": 0.6816,
1224
+ "step": 1520
1225
+ },
1226
+ {
1227
+ "epoch": 1.176923076923077,
1228
+ "grad_norm": 41.86957931518555,
1229
+ "learning_rate": 0.00015304615384615386,
1230
+ "loss": 0.5819,
1231
+ "step": 1530
1232
+ },
1233
+ {
1234
+ "epoch": 1.1846153846153846,
1235
+ "grad_norm": 15.450172424316406,
1236
+ "learning_rate": 0.00015273846153846153,
1237
+ "loss": 0.6544,
1238
+ "step": 1540
1239
+ },
1240
+ {
1241
+ "epoch": 1.1923076923076923,
1242
+ "grad_norm": 34.523521423339844,
1243
+ "learning_rate": 0.00015243076923076925,
1244
+ "loss": 0.5765,
1245
+ "step": 1550
1246
+ },
1247
+ {
1248
+ "epoch": 1.2,
1249
+ "grad_norm": 16.87320327758789,
1250
+ "learning_rate": 0.00015212307692307692,
1251
+ "loss": 0.7262,
1252
+ "step": 1560
1253
+ },
1254
+ {
1255
+ "epoch": 1.2076923076923076,
1256
+ "grad_norm": 8.800385475158691,
1257
+ "learning_rate": 0.00015181538461538462,
1258
+ "loss": 0.6419,
1259
+ "step": 1570
1260
+ },
1261
+ {
1262
+ "epoch": 1.2153846153846155,
1263
+ "grad_norm": 4.225490570068359,
1264
+ "learning_rate": 0.00015150769230769232,
1265
+ "loss": 0.6259,
1266
+ "step": 1580
1267
+ },
1268
+ {
1269
+ "epoch": 1.2230769230769232,
1270
+ "grad_norm": 5.178450107574463,
1271
+ "learning_rate": 0.00015120000000000002,
1272
+ "loss": 0.4219,
1273
+ "step": 1590
1274
+ },
1275
+ {
1276
+ "epoch": 1.2307692307692308,
1277
+ "grad_norm": 15.80587100982666,
1278
+ "learning_rate": 0.0001508923076923077,
1279
+ "loss": 0.4921,
1280
+ "step": 1600
1281
+ },
1282
+ {
1283
+ "epoch": 1.2307692307692308,
1284
+ "eval_accuracy": 0.5967665240133143,
1285
+ "eval_f1": 0.5083573981897155,
1286
+ "eval_loss": 1.7411612272262573,
1287
+ "eval_runtime": 16.8078,
1288
+ "eval_samples_per_second": 125.121,
1289
+ "eval_steps_per_second": 15.648,
1290
+ "step": 1600
1291
+ },
1292
+ {
1293
+ "epoch": 1.2384615384615385,
1294
+ "grad_norm": 1.5432558059692383,
1295
+ "learning_rate": 0.00015058461538461538,
1296
+ "loss": 0.4805,
1297
+ "step": 1610
1298
+ },
1299
+ {
1300
+ "epoch": 1.2461538461538462,
1301
+ "grad_norm": 6.642667770385742,
1302
+ "learning_rate": 0.00015027692307692308,
1303
+ "loss": 0.4152,
1304
+ "step": 1620
1305
+ },
1306
+ {
1307
+ "epoch": 1.2538461538461538,
1308
+ "grad_norm": 21.921995162963867,
1309
+ "learning_rate": 0.00014996923076923078,
1310
+ "loss": 0.3077,
1311
+ "step": 1630
1312
+ },
1313
+ {
1314
+ "epoch": 1.2615384615384615,
1315
+ "grad_norm": 5.363553047180176,
1316
+ "learning_rate": 0.00014966153846153848,
1317
+ "loss": 0.3495,
1318
+ "step": 1640
1319
+ },
1320
+ {
1321
+ "epoch": 1.2692307692307692,
1322
+ "grad_norm": 13.898427963256836,
1323
+ "learning_rate": 0.00014935384615384615,
1324
+ "loss": 0.3986,
1325
+ "step": 1650
1326
+ },
1327
+ {
1328
+ "epoch": 1.2769230769230768,
1329
+ "grad_norm": 9.330962181091309,
1330
+ "learning_rate": 0.00014904615384615387,
1331
+ "loss": 0.5338,
1332
+ "step": 1660
1333
+ },
1334
+ {
1335
+ "epoch": 1.2846153846153845,
1336
+ "grad_norm": 7.371734142303467,
1337
+ "learning_rate": 0.00014873846153846154,
1338
+ "loss": 0.628,
1339
+ "step": 1670
1340
+ },
1341
+ {
1342
+ "epoch": 1.2923076923076924,
1343
+ "grad_norm": 8.407286643981934,
1344
+ "learning_rate": 0.00014843076923076924,
1345
+ "loss": 0.4868,
1346
+ "step": 1680
1347
+ },
1348
+ {
1349
+ "epoch": 1.3,
1350
+ "grad_norm": 1.5198367834091187,
1351
+ "learning_rate": 0.0001481230769230769,
1352
+ "loss": 0.3815,
1353
+ "step": 1690
1354
+ },
1355
+ {
1356
+ "epoch": 1.3076923076923077,
1357
+ "grad_norm": 3.9158477783203125,
1358
+ "learning_rate": 0.00014781538461538463,
1359
+ "loss": 0.6139,
1360
+ "step": 1700
1361
+ },
1362
+ {
1363
+ "epoch": 1.3076923076923077,
1364
+ "eval_accuracy": 0.6191155492154066,
1365
+ "eval_f1": 0.47748185359189294,
1366
+ "eval_loss": 1.5929406881332397,
1367
+ "eval_runtime": 16.7863,
1368
+ "eval_samples_per_second": 125.281,
1369
+ "eval_steps_per_second": 15.668,
1370
+ "step": 1700
1371
+ },
1372
+ {
1373
+ "epoch": 1.3153846153846154,
1374
+ "grad_norm": 3.617347002029419,
1375
+ "learning_rate": 0.00014750769230769233,
1376
+ "loss": 0.4518,
1377
+ "step": 1710
1378
+ },
1379
+ {
1380
+ "epoch": 1.323076923076923,
1381
+ "grad_norm": 5.165849208831787,
1382
+ "learning_rate": 0.0001472,
1383
+ "loss": 0.563,
1384
+ "step": 1720
1385
+ },
1386
+ {
1387
+ "epoch": 1.3307692307692307,
1388
+ "grad_norm": 10.394920349121094,
1389
+ "learning_rate": 0.0001468923076923077,
1390
+ "loss": 0.4943,
1391
+ "step": 1730
1392
+ },
1393
+ {
1394
+ "epoch": 1.3384615384615386,
1395
+ "grad_norm": 4.914735794067383,
1396
+ "learning_rate": 0.0001465846153846154,
1397
+ "loss": 0.6329,
1398
+ "step": 1740
1399
+ },
1400
+ {
1401
+ "epoch": 1.3461538461538463,
1402
+ "grad_norm": 15.124076843261719,
1403
+ "learning_rate": 0.0001462769230769231,
1404
+ "loss": 0.7307,
1405
+ "step": 1750
1406
+ },
1407
+ {
1408
+ "epoch": 1.353846153846154,
1409
+ "grad_norm": 17.19927978515625,
1410
+ "learning_rate": 0.00014596923076923076,
1411
+ "loss": 0.4926,
1412
+ "step": 1760
1413
+ },
1414
+ {
1415
+ "epoch": 1.3615384615384616,
1416
+ "grad_norm": 6.490057945251465,
1417
+ "learning_rate": 0.00014566153846153846,
1418
+ "loss": 0.7761,
1419
+ "step": 1770
1420
+ },
1421
+ {
1422
+ "epoch": 1.3692307692307693,
1423
+ "grad_norm": 11.010785102844238,
1424
+ "learning_rate": 0.00014535384615384616,
1425
+ "loss": 0.4201,
1426
+ "step": 1780
1427
+ },
1428
+ {
1429
+ "epoch": 1.376923076923077,
1430
+ "grad_norm": 10.585082054138184,
1431
+ "learning_rate": 0.00014504615384615385,
1432
+ "loss": 0.7574,
1433
+ "step": 1790
1434
+ },
1435
+ {
1436
+ "epoch": 1.3846153846153846,
1437
+ "grad_norm": 5.400774002075195,
1438
+ "learning_rate": 0.00014473846153846155,
1439
+ "loss": 0.4287,
1440
+ "step": 1800
1441
+ },
1442
+ {
1443
+ "epoch": 1.3846153846153846,
1444
+ "eval_accuracy": 0.5786970993818354,
1445
+ "eval_f1": 0.48555911203830004,
1446
+ "eval_loss": 1.8428493738174438,
1447
+ "eval_runtime": 19.7656,
1448
+ "eval_samples_per_second": 106.397,
1449
+ "eval_steps_per_second": 13.306,
1450
+ "step": 1800
1451
+ },
1452
+ {
1453
+ "epoch": 1.3923076923076922,
1454
+ "grad_norm": 17.2746524810791,
1455
+ "learning_rate": 0.00014443076923076925,
1456
+ "loss": 0.4772,
1457
+ "step": 1810
1458
+ },
1459
+ {
1460
+ "epoch": 1.4,
1461
+ "grad_norm": 6.008124351501465,
1462
+ "learning_rate": 0.00014412307692307695,
1463
+ "loss": 0.6525,
1464
+ "step": 1820
1465
+ },
1466
+ {
1467
+ "epoch": 1.4076923076923076,
1468
+ "grad_norm": 13.485288619995117,
1469
+ "learning_rate": 0.00014381538461538462,
1470
+ "loss": 0.5041,
1471
+ "step": 1830
1472
+ },
1473
+ {
1474
+ "epoch": 1.4153846153846155,
1475
+ "grad_norm": 14.786735534667969,
1476
+ "learning_rate": 0.00014350769230769231,
1477
+ "loss": 0.5307,
1478
+ "step": 1840
1479
+ },
1480
+ {
1481
+ "epoch": 1.4230769230769231,
1482
+ "grad_norm": 8.736832618713379,
1483
+ "learning_rate": 0.0001432,
1484
+ "loss": 0.4298,
1485
+ "step": 1850
1486
+ },
1487
+ {
1488
+ "epoch": 1.4307692307692308,
1489
+ "grad_norm": 0.5690996050834656,
1490
+ "learning_rate": 0.0001428923076923077,
1491
+ "loss": 0.3008,
1492
+ "step": 1860
1493
+ },
1494
+ {
1495
+ "epoch": 1.4384615384615385,
1496
+ "grad_norm": 4.46373987197876,
1497
+ "learning_rate": 0.00014258461538461538,
1498
+ "loss": 0.4395,
1499
+ "step": 1870
1500
+ },
1501
+ {
1502
+ "epoch": 1.4461538461538461,
1503
+ "grad_norm": 3.5213191509246826,
1504
+ "learning_rate": 0.00014227692307692308,
1505
+ "loss": 0.6807,
1506
+ "step": 1880
1507
+ },
1508
+ {
1509
+ "epoch": 1.4538461538461538,
1510
+ "grad_norm": 20.121078491210938,
1511
+ "learning_rate": 0.00014196923076923077,
1512
+ "loss": 0.7545,
1513
+ "step": 1890
1514
+ },
1515
+ {
1516
+ "epoch": 1.4615384615384617,
1517
+ "grad_norm": 14.214380264282227,
1518
+ "learning_rate": 0.00014166153846153847,
1519
+ "loss": 0.3866,
1520
+ "step": 1900
1521
+ },
1522
+ {
1523
+ "epoch": 1.4615384615384617,
1524
+ "eval_accuracy": 0.5901093675701379,
1525
+ "eval_f1": 0.5485903466017813,
1526
+ "eval_loss": 1.733641266822815,
1527
+ "eval_runtime": 16.7345,
1528
+ "eval_samples_per_second": 125.669,
1529
+ "eval_steps_per_second": 15.716,
1530
+ "step": 1900
1531
+ },
1532
+ {
1533
+ "epoch": 1.4692307692307693,
1534
+ "grad_norm": 0.3178653120994568,
1535
+ "learning_rate": 0.00014135384615384617,
1536
+ "loss": 0.6012,
1537
+ "step": 1910
1538
+ },
1539
+ {
1540
+ "epoch": 1.476923076923077,
1541
+ "grad_norm": 4.369613170623779,
1542
+ "learning_rate": 0.00014104615384615384,
1543
+ "loss": 0.3369,
1544
+ "step": 1920
1545
+ },
1546
+ {
1547
+ "epoch": 1.4846153846153847,
1548
+ "grad_norm": 15.896696090698242,
1549
+ "learning_rate": 0.00014073846153846156,
1550
+ "loss": 0.3105,
1551
+ "step": 1930
1552
+ },
1553
+ {
1554
+ "epoch": 1.4923076923076923,
1555
+ "grad_norm": 10.438070297241211,
1556
+ "learning_rate": 0.00014043076923076923,
1557
+ "loss": 0.8154,
1558
+ "step": 1940
1559
+ },
1560
+ {
1561
+ "epoch": 1.5,
1562
+ "grad_norm": 14.663464546203613,
1563
+ "learning_rate": 0.00014012307692307693,
1564
+ "loss": 0.3988,
1565
+ "step": 1950
1566
+ },
1567
+ {
1568
+ "epoch": 1.5076923076923077,
1569
+ "grad_norm": 7.354617595672607,
1570
+ "learning_rate": 0.00013981538461538463,
1571
+ "loss": 0.3093,
1572
+ "step": 1960
1573
+ },
1574
+ {
1575
+ "epoch": 1.5153846153846153,
1576
+ "grad_norm": 4.684564113616943,
1577
+ "learning_rate": 0.00013950769230769233,
1578
+ "loss": 0.2435,
1579
+ "step": 1970
1580
+ },
1581
+ {
1582
+ "epoch": 1.523076923076923,
1583
+ "grad_norm": 9.166966438293457,
1584
+ "learning_rate": 0.0001392,
1585
+ "loss": 0.435,
1586
+ "step": 1980
1587
+ },
1588
+ {
1589
+ "epoch": 1.5307692307692307,
1590
+ "grad_norm": 11.143019676208496,
1591
+ "learning_rate": 0.0001388923076923077,
1592
+ "loss": 0.5061,
1593
+ "step": 1990
1594
+ },
1595
+ {
1596
+ "epoch": 1.5384615384615383,
1597
+ "grad_norm": 7.119759559631348,
1598
+ "learning_rate": 0.0001385846153846154,
1599
+ "loss": 0.5433,
1600
+ "step": 2000
1601
+ },
1602
+ {
1603
+ "epoch": 1.5384615384615383,
1604
+ "eval_accuracy": 0.6115073704232049,
1605
+ "eval_f1": 0.5674066960408692,
1606
+ "eval_loss": 1.6080265045166016,
1607
+ "eval_runtime": 16.8201,
1608
+ "eval_samples_per_second": 125.029,
1609
+ "eval_steps_per_second": 15.636,
1610
+ "step": 2000
1611
+ },
1612
+ {
1613
+ "epoch": 1.546153846153846,
1614
+ "grad_norm": 14.597929000854492,
1615
+ "learning_rate": 0.0001382769230769231,
1616
+ "loss": 0.367,
1617
+ "step": 2010
1618
+ },
1619
+ {
1620
+ "epoch": 1.5538461538461539,
1621
+ "grad_norm": 5.811885833740234,
1622
+ "learning_rate": 0.00013796923076923078,
1623
+ "loss": 0.4218,
1624
+ "step": 2020
1625
+ },
1626
+ {
1627
+ "epoch": 1.5615384615384615,
1628
+ "grad_norm": 7.272891998291016,
1629
+ "learning_rate": 0.00013766153846153845,
1630
+ "loss": 0.372,
1631
+ "step": 2030
1632
+ },
1633
+ {
1634
+ "epoch": 1.5692307692307692,
1635
+ "grad_norm": 1.723375678062439,
1636
+ "learning_rate": 0.00013735384615384618,
1637
+ "loss": 0.249,
1638
+ "step": 2040
1639
+ },
1640
+ {
1641
+ "epoch": 1.5769230769230769,
1642
+ "grad_norm": 4.052417755126953,
1643
+ "learning_rate": 0.00013704615384615385,
1644
+ "loss": 0.464,
1645
+ "step": 2050
1646
+ },
1647
+ {
1648
+ "epoch": 1.5846153846153848,
1649
+ "grad_norm": 15.070720672607422,
1650
+ "learning_rate": 0.00013673846153846155,
1651
+ "loss": 0.296,
1652
+ "step": 2060
1653
+ },
1654
+ {
1655
+ "epoch": 1.5923076923076924,
1656
+ "grad_norm": 3.956598997116089,
1657
+ "learning_rate": 0.00013643076923076922,
1658
+ "loss": 0.2252,
1659
+ "step": 2070
1660
+ },
1661
+ {
1662
+ "epoch": 1.6,
1663
+ "grad_norm": 11.06430721282959,
1664
+ "learning_rate": 0.00013612307692307694,
1665
+ "loss": 0.4916,
1666
+ "step": 2080
1667
+ },
1668
+ {
1669
+ "epoch": 1.6076923076923078,
1670
+ "grad_norm": 7.10749626159668,
1671
+ "learning_rate": 0.0001358153846153846,
1672
+ "loss": 0.4222,
1673
+ "step": 2090
1674
+ },
1675
+ {
1676
+ "epoch": 1.6153846153846154,
1677
+ "grad_norm": 7.789681911468506,
1678
+ "learning_rate": 0.0001355076923076923,
1679
+ "loss": 0.48,
1680
+ "step": 2100
1681
+ },
1682
+ {
1683
+ "epoch": 1.6153846153846154,
1684
+ "eval_accuracy": 0.6024726581074655,
1685
+ "eval_f1": 0.5739795946472991,
1686
+ "eval_loss": 2.0280513763427734,
1687
+ "eval_runtime": 17.1171,
1688
+ "eval_samples_per_second": 122.86,
1689
+ "eval_steps_per_second": 15.365,
1690
+ "step": 2100
1691
+ },
1692
+ {
1693
+ "epoch": 1.623076923076923,
1694
+ "grad_norm": 9.332916259765625,
1695
+ "learning_rate": 0.0001352,
1696
+ "loss": 0.414,
1697
+ "step": 2110
1698
+ },
1699
+ {
1700
+ "epoch": 1.6307692307692307,
1701
+ "grad_norm": 1.6355888843536377,
1702
+ "learning_rate": 0.0001348923076923077,
1703
+ "loss": 0.3957,
1704
+ "step": 2120
1705
+ },
1706
+ {
1707
+ "epoch": 1.6384615384615384,
1708
+ "grad_norm": 10.081631660461426,
1709
+ "learning_rate": 0.0001345846153846154,
1710
+ "loss": 0.5076,
1711
+ "step": 2130
1712
+ },
1713
+ {
1714
+ "epoch": 1.646153846153846,
1715
+ "grad_norm": 3.474703788757324,
1716
+ "learning_rate": 0.00013427692307692307,
1717
+ "loss": 0.8926,
1718
+ "step": 2140
1719
+ },
1720
+ {
1721
+ "epoch": 1.6538461538461537,
1722
+ "grad_norm": 6.794450283050537,
1723
+ "learning_rate": 0.00013396923076923077,
1724
+ "loss": 0.5352,
1725
+ "step": 2150
1726
+ },
1727
+ {
1728
+ "epoch": 1.6615384615384614,
1729
+ "grad_norm": 15.456186294555664,
1730
+ "learning_rate": 0.00013366153846153847,
1731
+ "loss": 0.2422,
1732
+ "step": 2160
1733
+ },
1734
+ {
1735
+ "epoch": 1.669230769230769,
1736
+ "grad_norm": 15.137236595153809,
1737
+ "learning_rate": 0.00013335384615384616,
1738
+ "loss": 0.3668,
1739
+ "step": 2170
1740
+ },
1741
+ {
1742
+ "epoch": 1.676923076923077,
1743
+ "grad_norm": 0.18958747386932373,
1744
+ "learning_rate": 0.00013304615384615383,
1745
+ "loss": 0.3099,
1746
+ "step": 2180
1747
+ },
1748
+ {
1749
+ "epoch": 1.6846153846153846,
1750
+ "grad_norm": 11.518759727478027,
1751
+ "learning_rate": 0.00013273846153846156,
1752
+ "loss": 0.6227,
1753
+ "step": 2190
1754
+ },
1755
+ {
1756
+ "epoch": 1.6923076923076923,
1757
+ "grad_norm": 2.6654231548309326,
1758
+ "learning_rate": 0.00013243076923076926,
1759
+ "loss": 0.5267,
1760
+ "step": 2200
1761
+ },
1762
+ {
1763
+ "epoch": 1.6923076923076923,
1764
+ "eval_accuracy": 0.6980504041844984,
1765
+ "eval_f1": 0.6558579987834274,
1766
+ "eval_loss": 1.1857682466506958,
1767
+ "eval_runtime": 17.02,
1768
+ "eval_samples_per_second": 123.561,
1769
+ "eval_steps_per_second": 15.452,
1770
+ "step": 2200
1771
+ },
1772
+ {
1773
+ "epoch": 1.7,
1774
+ "grad_norm": 4.872873306274414,
1775
+ "learning_rate": 0.00013212307692307693,
1776
+ "loss": 0.3604,
1777
+ "step": 2210
1778
+ },
1779
+ {
1780
+ "epoch": 1.7076923076923078,
1781
+ "grad_norm": 1.0326272249221802,
1782
+ "learning_rate": 0.00013181538461538462,
1783
+ "loss": 0.3703,
1784
+ "step": 2220
1785
+ },
1786
+ {
1787
+ "epoch": 1.7153846153846155,
1788
+ "grad_norm": 7.073639869689941,
1789
+ "learning_rate": 0.00013150769230769232,
1790
+ "loss": 0.3494,
1791
+ "step": 2230
1792
+ },
1793
+ {
1794
+ "epoch": 1.7230769230769232,
1795
+ "grad_norm": 4.089666366577148,
1796
+ "learning_rate": 0.00013120000000000002,
1797
+ "loss": 0.327,
1798
+ "step": 2240
1799
+ },
1800
+ {
1801
+ "epoch": 1.7307692307692308,
1802
+ "grad_norm": 1.9805048704147339,
1803
+ "learning_rate": 0.0001308923076923077,
1804
+ "loss": 0.4399,
1805
+ "step": 2250
1806
+ },
1807
+ {
1808
+ "epoch": 1.7384615384615385,
1809
+ "grad_norm": 0.8075215816497803,
1810
+ "learning_rate": 0.00013058461538461539,
1811
+ "loss": 0.3764,
1812
+ "step": 2260
1813
+ },
1814
+ {
1815
+ "epoch": 1.7461538461538462,
1816
+ "grad_norm": 3.6147022247314453,
1817
+ "learning_rate": 0.00013027692307692308,
1818
+ "loss": 0.4837,
1819
+ "step": 2270
1820
+ },
1821
+ {
1822
+ "epoch": 1.7538461538461538,
1823
+ "grad_norm": 2.4369399547576904,
1824
+ "learning_rate": 0.00012996923076923078,
1825
+ "loss": 0.4321,
1826
+ "step": 2280
1827
+ },
1828
+ {
1829
+ "epoch": 1.7615384615384615,
1830
+ "grad_norm": 20.212575912475586,
1831
+ "learning_rate": 0.00012966153846153848,
1832
+ "loss": 0.6963,
1833
+ "step": 2290
1834
+ },
1835
+ {
1836
+ "epoch": 1.7692307692307692,
1837
+ "grad_norm": 0.21433982253074646,
1838
+ "learning_rate": 0.00012935384615384615,
1839
+ "loss": 0.4285,
1840
+ "step": 2300
1841
+ },
1842
+ {
1843
+ "epoch": 1.7692307692307692,
1844
+ "eval_accuracy": 0.656680932001902,
1845
+ "eval_f1": 0.6080944583276796,
1846
+ "eval_loss": 1.390582799911499,
1847
+ "eval_runtime": 17.5993,
1848
+ "eval_samples_per_second": 119.494,
1849
+ "eval_steps_per_second": 14.944,
1850
+ "step": 2300
1851
+ },
1852
+ {
1853
+ "epoch": 1.7769230769230768,
1854
+ "grad_norm": 3.978227138519287,
1855
+ "learning_rate": 0.00012904615384615387,
1856
+ "loss": 0.3763,
1857
+ "step": 2310
1858
+ },
1859
+ {
1860
+ "epoch": 1.7846153846153845,
1861
+ "grad_norm": 9.16811752319336,
1862
+ "learning_rate": 0.00012873846153846154,
1863
+ "loss": 0.3022,
1864
+ "step": 2320
1865
+ },
1866
+ {
1867
+ "epoch": 1.7923076923076922,
1868
+ "grad_norm": 2.145604133605957,
1869
+ "learning_rate": 0.00012843076923076924,
1870
+ "loss": 0.2513,
1871
+ "step": 2330
1872
+ },
1873
+ {
1874
+ "epoch": 1.8,
1875
+ "grad_norm": 1.1712201833724976,
1876
+ "learning_rate": 0.00012812307692307694,
1877
+ "loss": 0.463,
1878
+ "step": 2340
1879
+ },
1880
+ {
1881
+ "epoch": 1.8076923076923077,
1882
+ "grad_norm": 1.4317967891693115,
1883
+ "learning_rate": 0.00012781538461538463,
1884
+ "loss": 0.1709,
1885
+ "step": 2350
1886
+ },
1887
+ {
1888
+ "epoch": 1.8153846153846154,
1889
+ "grad_norm": 5.743645191192627,
1890
+ "learning_rate": 0.0001275076923076923,
1891
+ "loss": 0.3748,
1892
+ "step": 2360
1893
+ },
1894
+ {
1895
+ "epoch": 1.823076923076923,
1896
+ "grad_norm": 6.2800188064575195,
1897
+ "learning_rate": 0.0001272,
1898
+ "loss": 0.3998,
1899
+ "step": 2370
1900
+ },
1901
+ {
1902
+ "epoch": 1.830769230769231,
1903
+ "grad_norm": 1.29902982711792,
1904
+ "learning_rate": 0.0001268923076923077,
1905
+ "loss": 0.1479,
1906
+ "step": 2380
1907
+ },
1908
+ {
1909
+ "epoch": 1.8384615384615386,
1910
+ "grad_norm": 4.433743476867676,
1911
+ "learning_rate": 0.0001265846153846154,
1912
+ "loss": 0.439,
1913
+ "step": 2390
1914
+ },
1915
+ {
1916
+ "epoch": 1.8461538461538463,
1917
+ "grad_norm": 7.409432888031006,
1918
+ "learning_rate": 0.0001262769230769231,
1919
+ "loss": 0.3514,
1920
+ "step": 2400
1921
+ },
1922
+ {
1923
+ "epoch": 1.8461538461538463,
1924
+ "eval_accuracy": 0.6956728483119353,
1925
+ "eval_f1": 0.6494444379031487,
1926
+ "eval_loss": 1.3833204507827759,
1927
+ "eval_runtime": 17.0907,
1928
+ "eval_samples_per_second": 123.05,
1929
+ "eval_steps_per_second": 15.389,
1930
+ "step": 2400
1931
+ },
1932
+ {
1933
+ "epoch": 1.853846153846154,
1934
+ "grad_norm": 34.418609619140625,
1935
+ "learning_rate": 0.00012596923076923076,
1936
+ "loss": 0.2883,
1937
+ "step": 2410
1938
+ },
1939
+ {
1940
+ "epoch": 1.8615384615384616,
1941
+ "grad_norm": 6.44146728515625,
1942
+ "learning_rate": 0.00012566153846153846,
1943
+ "loss": 0.2089,
1944
+ "step": 2420
1945
+ },
1946
+ {
1947
+ "epoch": 1.8692307692307693,
1948
+ "grad_norm": 11.238855361938477,
1949
+ "learning_rate": 0.00012535384615384616,
1950
+ "loss": 0.3325,
1951
+ "step": 2430
1952
+ },
1953
+ {
1954
+ "epoch": 1.876923076923077,
1955
+ "grad_norm": 7.347435474395752,
1956
+ "learning_rate": 0.00012504615384615386,
1957
+ "loss": 0.1479,
1958
+ "step": 2440
1959
+ },
1960
+ {
1961
+ "epoch": 1.8846153846153846,
1962
+ "grad_norm": 0.5125481486320496,
1963
+ "learning_rate": 0.00012473846153846153,
1964
+ "loss": 0.3997,
1965
+ "step": 2450
1966
+ },
1967
+ {
1968
+ "epoch": 1.8923076923076922,
1969
+ "grad_norm": 1.0783796310424805,
1970
+ "learning_rate": 0.00012443076923076925,
1971
+ "loss": 0.3116,
1972
+ "step": 2460
1973
+ },
1974
+ {
1975
+ "epoch": 1.9,
1976
+ "grad_norm": 27.976240158081055,
1977
+ "learning_rate": 0.00012412307692307692,
1978
+ "loss": 0.3706,
1979
+ "step": 2470
1980
+ },
1981
+ {
1982
+ "epoch": 1.9076923076923076,
1983
+ "grad_norm": 43.74629592895508,
1984
+ "learning_rate": 0.00012381538461538462,
1985
+ "loss": 0.5389,
1986
+ "step": 2480
1987
+ },
1988
+ {
1989
+ "epoch": 1.9153846153846152,
1990
+ "grad_norm": 2.6544032096862793,
1991
+ "learning_rate": 0.00012350769230769232,
1992
+ "loss": 0.2875,
1993
+ "step": 2490
1994
+ },
1995
+ {
1996
+ "epoch": 1.9230769230769231,
1997
+ "grad_norm": 1.781782865524292,
1998
+ "learning_rate": 0.0001232,
1999
+ "loss": 0.1075,
2000
+ "step": 2500
2001
+ },
2002
+ {
2003
+ "epoch": 1.9230769230769231,
2004
+ "eval_accuracy": 0.6571564431764146,
2005
+ "eval_f1": 0.626568485566822,
2006
+ "eval_loss": 1.7410181760787964,
2007
+ "eval_runtime": 16.7273,
2008
+ "eval_samples_per_second": 125.722,
2009
+ "eval_steps_per_second": 15.723,
2010
+ "step": 2500
2011
+ },
2012
+ {
2013
+ "epoch": 1.9307692307692308,
2014
+ "grad_norm": 13.618246078491211,
2015
+ "learning_rate": 0.0001228923076923077,
2016
+ "loss": 0.4101,
2017
+ "step": 2510
2018
+ },
2019
+ {
2020
+ "epoch": 1.9384615384615385,
2021
+ "grad_norm": 5.646900653839111,
2022
+ "learning_rate": 0.00012258461538461538,
2023
+ "loss": 0.4107,
2024
+ "step": 2520
2025
+ },
2026
+ {
2027
+ "epoch": 1.9461538461538461,
2028
+ "grad_norm": 0.9535161256790161,
2029
+ "learning_rate": 0.00012227692307692308,
2030
+ "loss": 0.3682,
2031
+ "step": 2530
2032
+ },
2033
+ {
2034
+ "epoch": 1.953846153846154,
2035
+ "grad_norm": 8.248202323913574,
2036
+ "learning_rate": 0.00012196923076923078,
2037
+ "loss": 0.3442,
2038
+ "step": 2540
2039
+ },
2040
+ {
2041
+ "epoch": 1.9615384615384617,
2042
+ "grad_norm": 23.23848533630371,
2043
+ "learning_rate": 0.00012166153846153847,
2044
+ "loss": 0.5138,
2045
+ "step": 2550
2046
+ },
2047
+ {
2048
+ "epoch": 1.9692307692307693,
2049
+ "grad_norm": 5.602075576782227,
2050
+ "learning_rate": 0.00012135384615384616,
2051
+ "loss": 0.7101,
2052
+ "step": 2560
2053
+ },
2054
+ {
2055
+ "epoch": 1.976923076923077,
2056
+ "grad_norm": 0.8480932116508484,
2057
+ "learning_rate": 0.00012104615384615385,
2058
+ "loss": 0.2,
2059
+ "step": 2570
2060
+ },
2061
+ {
2062
+ "epoch": 1.9846153846153847,
2063
+ "grad_norm": 7.132087707519531,
2064
+ "learning_rate": 0.00012073846153846154,
2065
+ "loss": 0.5217,
2066
+ "step": 2580
2067
+ },
2068
+ {
2069
+ "epoch": 1.9923076923076923,
2070
+ "grad_norm": 0.9168047308921814,
2071
+ "learning_rate": 0.00012043076923076923,
2072
+ "loss": 0.2896,
2073
+ "step": 2590
2074
+ },
2075
+ {
2076
+ "epoch": 2.0,
2077
+ "grad_norm": 48.00926971435547,
2078
+ "learning_rate": 0.00012012307692307693,
2079
+ "loss": 0.3847,
2080
+ "step": 2600
2081
+ },
2082
+ {
2083
+ "epoch": 2.0,
2084
+ "eval_accuracy": 0.6338563956252972,
2085
+ "eval_f1": 0.5944778974039866,
2086
+ "eval_loss": 1.7384583950042725,
2087
+ "eval_runtime": 16.9504,
2088
+ "eval_samples_per_second": 124.068,
2089
+ "eval_steps_per_second": 15.516,
2090
+ "step": 2600
2091
+ },
2092
+ {
2093
+ "epoch": 2.0076923076923077,
2094
+ "grad_norm": 1.0568981170654297,
2095
+ "learning_rate": 0.00011981538461538462,
2096
+ "loss": 0.2972,
2097
+ "step": 2610
2098
+ },
2099
+ {
2100
+ "epoch": 2.0153846153846153,
2101
+ "grad_norm": 7.609832763671875,
2102
+ "learning_rate": 0.00011950769230769233,
2103
+ "loss": 0.2148,
2104
+ "step": 2620
2105
+ },
2106
+ {
2107
+ "epoch": 2.023076923076923,
2108
+ "grad_norm": 1.375036597251892,
2109
+ "learning_rate": 0.0001192,
2110
+ "loss": 0.2109,
2111
+ "step": 2630
2112
+ },
2113
+ {
2114
+ "epoch": 2.0307692307692307,
2115
+ "grad_norm": 12.352304458618164,
2116
+ "learning_rate": 0.00011889230769230771,
2117
+ "loss": 0.1467,
2118
+ "step": 2640
2119
+ },
2120
+ {
2121
+ "epoch": 2.0384615384615383,
2122
+ "grad_norm": 6.881193161010742,
2123
+ "learning_rate": 0.00011858461538461538,
2124
+ "loss": 0.1095,
2125
+ "step": 2650
2126
+ },
2127
+ {
2128
+ "epoch": 2.046153846153846,
2129
+ "grad_norm": 1.094142198562622,
2130
+ "learning_rate": 0.00011827692307692309,
2131
+ "loss": 0.1977,
2132
+ "step": 2660
2133
+ },
2134
+ {
2135
+ "epoch": 2.0538461538461537,
2136
+ "grad_norm": 12.430768013000488,
2137
+ "learning_rate": 0.00011796923076923076,
2138
+ "loss": 0.2677,
2139
+ "step": 2670
2140
+ },
2141
+ {
2142
+ "epoch": 2.0615384615384613,
2143
+ "grad_norm": 0.16524989902973175,
2144
+ "learning_rate": 0.00011766153846153847,
2145
+ "loss": 0.2452,
2146
+ "step": 2680
2147
+ },
2148
+ {
2149
+ "epoch": 2.0692307692307694,
2150
+ "grad_norm": 1.5544637441635132,
2151
+ "learning_rate": 0.00011735384615384617,
2152
+ "loss": 0.1912,
2153
+ "step": 2690
2154
+ },
2155
+ {
2156
+ "epoch": 2.076923076923077,
2157
+ "grad_norm": 8.975374221801758,
2158
+ "learning_rate": 0.00011704615384615385,
2159
+ "loss": 0.0949,
2160
+ "step": 2700
2161
+ },
2162
+ {
2163
+ "epoch": 2.076923076923077,
2164
+ "eval_accuracy": 0.6642891107941037,
2165
+ "eval_f1": 0.6352842080424905,
2166
+ "eval_loss": 1.8801521062850952,
2167
+ "eval_runtime": 17.0485,
2168
+ "eval_samples_per_second": 123.354,
2169
+ "eval_steps_per_second": 15.427,
2170
+ "step": 2700
2171
+ },
2172
+ {
2173
+ "epoch": 2.0846153846153848,
2174
+ "grad_norm": 0.3050454556941986,
2175
+ "learning_rate": 0.00011673846153846155,
2176
+ "loss": 0.1858,
2177
+ "step": 2710
2178
+ },
2179
+ {
2180
+ "epoch": 2.0923076923076924,
2181
+ "grad_norm": 3.2935495376586914,
2182
+ "learning_rate": 0.00011643076923076923,
2183
+ "loss": 0.2089,
2184
+ "step": 2720
2185
+ },
2186
+ {
2187
+ "epoch": 2.1,
2188
+ "grad_norm": 3.361696481704712,
2189
+ "learning_rate": 0.00011612307692307693,
2190
+ "loss": 0.243,
2191
+ "step": 2730
2192
+ },
2193
+ {
2194
+ "epoch": 2.1076923076923078,
2195
+ "grad_norm": 0.6958662867546082,
2196
+ "learning_rate": 0.00011581538461538461,
2197
+ "loss": 0.1245,
2198
+ "step": 2740
2199
+ },
2200
+ {
2201
+ "epoch": 2.1153846153846154,
2202
+ "grad_norm": 22.17263412475586,
2203
+ "learning_rate": 0.00011550769230769231,
2204
+ "loss": 0.1225,
2205
+ "step": 2750
2206
+ },
2207
+ {
2208
+ "epoch": 2.123076923076923,
2209
+ "grad_norm": 1.6131566762924194,
2210
+ "learning_rate": 0.0001152,
2211
+ "loss": 0.3808,
2212
+ "step": 2760
2213
+ },
2214
+ {
2215
+ "epoch": 2.1307692307692307,
2216
+ "grad_norm": 6.770347595214844,
2217
+ "learning_rate": 0.0001148923076923077,
2218
+ "loss": 0.2593,
2219
+ "step": 2770
2220
+ },
2221
+ {
2222
+ "epoch": 2.1384615384615384,
2223
+ "grad_norm": 0.6103817820549011,
2224
+ "learning_rate": 0.00011458461538461538,
2225
+ "loss": 0.1343,
2226
+ "step": 2780
2227
+ },
2228
+ {
2229
+ "epoch": 2.146153846153846,
2230
+ "grad_norm": 0.06068554148077965,
2231
+ "learning_rate": 0.00011427692307692309,
2232
+ "loss": 0.2062,
2233
+ "step": 2790
2234
+ },
2235
+ {
2236
+ "epoch": 2.1538461538461537,
2237
+ "grad_norm": 16.673128128051758,
2238
+ "learning_rate": 0.00011396923076923078,
2239
+ "loss": 0.2316,
2240
+ "step": 2800
2241
+ },
2242
+ {
2243
+ "epoch": 2.1538461538461537,
2244
+ "eval_accuracy": 0.7451260104612458,
2245
+ "eval_f1": 0.6971439536352935,
2246
+ "eval_loss": 1.397080421447754,
2247
+ "eval_runtime": 17.1647,
2248
+ "eval_samples_per_second": 122.519,
2249
+ "eval_steps_per_second": 15.322,
2250
+ "step": 2800
2251
+ },
2252
+ {
2253
+ "epoch": 2.1615384615384614,
2254
+ "grad_norm": 0.3473091125488281,
2255
+ "learning_rate": 0.00011366153846153847,
2256
+ "loss": 0.0767,
2257
+ "step": 2810
2258
+ },
2259
+ {
2260
+ "epoch": 2.169230769230769,
2261
+ "grad_norm": 7.414034843444824,
2262
+ "learning_rate": 0.00011335384615384617,
2263
+ "loss": 0.3719,
2264
+ "step": 2820
2265
+ },
2266
+ {
2267
+ "epoch": 2.1769230769230767,
2268
+ "grad_norm": 18.647066116333008,
2269
+ "learning_rate": 0.00011304615384615385,
2270
+ "loss": 0.1569,
2271
+ "step": 2830
2272
+ },
2273
+ {
2274
+ "epoch": 2.184615384615385,
2275
+ "grad_norm": 7.460345268249512,
2276
+ "learning_rate": 0.00011273846153846155,
2277
+ "loss": 0.2751,
2278
+ "step": 2840
2279
+ },
2280
+ {
2281
+ "epoch": 2.1923076923076925,
2282
+ "grad_norm": 0.29477110505104065,
2283
+ "learning_rate": 0.00011243076923076923,
2284
+ "loss": 0.3511,
2285
+ "step": 2850
2286
+ },
2287
+ {
2288
+ "epoch": 2.2,
2289
+ "grad_norm": 0.22180061042308807,
2290
+ "learning_rate": 0.00011212307692307693,
2291
+ "loss": 0.2243,
2292
+ "step": 2860
2293
+ },
2294
+ {
2295
+ "epoch": 2.207692307692308,
2296
+ "grad_norm": 0.8195671439170837,
2297
+ "learning_rate": 0.00011181538461538461,
2298
+ "loss": 0.1747,
2299
+ "step": 2870
2300
+ },
2301
+ {
2302
+ "epoch": 2.2153846153846155,
2303
+ "grad_norm": 16.73213005065918,
2304
+ "learning_rate": 0.00011150769230769231,
2305
+ "loss": 0.3725,
2306
+ "step": 2880
2307
+ },
2308
+ {
2309
+ "epoch": 2.223076923076923,
2310
+ "grad_norm": 4.069842338562012,
2311
+ "learning_rate": 0.00011120000000000002,
2312
+ "loss": 0.1868,
2313
+ "step": 2890
2314
+ },
2315
+ {
2316
+ "epoch": 2.230769230769231,
2317
+ "grad_norm": 6.952284336090088,
2318
+ "learning_rate": 0.00011089230769230769,
2319
+ "loss": 0.3784,
2320
+ "step": 2900
2321
+ },
2322
+ {
2323
+ "epoch": 2.230769230769231,
2324
+ "eval_accuracy": 0.7047075606276747,
2325
+ "eval_f1": 0.6842824123366446,
2326
+ "eval_loss": 1.5770621299743652,
2327
+ "eval_runtime": 16.8957,
2328
+ "eval_samples_per_second": 124.47,
2329
+ "eval_steps_per_second": 15.566,
2330
+ "step": 2900
2331
+ },
2332
+ {
2333
+ "epoch": 2.2384615384615385,
2334
+ "grad_norm": 0.06188400089740753,
2335
+ "learning_rate": 0.0001105846153846154,
2336
+ "loss": 0.1121,
2337
+ "step": 2910
2338
+ },
2339
+ {
2340
+ "epoch": 2.246153846153846,
2341
+ "grad_norm": 4.324626445770264,
2342
+ "learning_rate": 0.00011027692307692308,
2343
+ "loss": 0.149,
2344
+ "step": 2920
2345
+ },
2346
+ {
2347
+ "epoch": 2.253846153846154,
2348
+ "grad_norm": 0.2440049648284912,
2349
+ "learning_rate": 0.00010996923076923078,
2350
+ "loss": 0.184,
2351
+ "step": 2930
2352
+ },
2353
+ {
2354
+ "epoch": 2.2615384615384615,
2355
+ "grad_norm": 0.7193968296051025,
2356
+ "learning_rate": 0.00010966153846153847,
2357
+ "loss": 0.1025,
2358
+ "step": 2940
2359
+ },
2360
+ {
2361
+ "epoch": 2.269230769230769,
2362
+ "grad_norm": 0.21983827650547028,
2363
+ "learning_rate": 0.00010935384615384616,
2364
+ "loss": 0.2035,
2365
+ "step": 2950
2366
+ },
2367
+ {
2368
+ "epoch": 2.276923076923077,
2369
+ "grad_norm": 25.79552459716797,
2370
+ "learning_rate": 0.00010904615384615385,
2371
+ "loss": 0.2581,
2372
+ "step": 2960
2373
+ },
2374
+ {
2375
+ "epoch": 2.2846153846153845,
2376
+ "grad_norm": 1.1863837242126465,
2377
+ "learning_rate": 0.00010873846153846154,
2378
+ "loss": 0.0128,
2379
+ "step": 2970
2380
+ },
2381
+ {
2382
+ "epoch": 2.292307692307692,
2383
+ "grad_norm": 3.72625470161438,
2384
+ "learning_rate": 0.00010843076923076924,
2385
+ "loss": 0.0762,
2386
+ "step": 2980
2387
+ },
2388
+ {
2389
+ "epoch": 2.3,
2390
+ "grad_norm": 0.28206005692481995,
2391
+ "learning_rate": 0.00010812307692307693,
2392
+ "loss": 0.164,
2393
+ "step": 2990
2394
+ },
2395
+ {
2396
+ "epoch": 2.3076923076923075,
2397
+ "grad_norm": 0.39071956276893616,
2398
+ "learning_rate": 0.00010781538461538462,
2399
+ "loss": 0.4097,
2400
+ "step": 3000
2401
+ },
2402
+ {
2403
+ "epoch": 2.3076923076923075,
2404
+ "eval_accuracy": 0.7066096053257251,
2405
+ "eval_f1": 0.708134671027892,
2406
+ "eval_loss": 1.5794614553451538,
2407
+ "eval_runtime": 17.2392,
2408
+ "eval_samples_per_second": 121.99,
2409
+ "eval_steps_per_second": 15.256,
2410
+ "step": 3000
2411
+ },
2412
+ {
2413
+ "epoch": 2.315384615384615,
2414
+ "grad_norm": 0.2508563697338104,
2415
+ "learning_rate": 0.0001075076923076923,
2416
+ "loss": 0.178,
2417
+ "step": 3010
2418
+ },
2419
+ {
2420
+ "epoch": 2.3230769230769233,
2421
+ "grad_norm": 3.3515655994415283,
2422
+ "learning_rate": 0.00010720000000000002,
2423
+ "loss": 0.4306,
2424
+ "step": 3020
2425
+ },
2426
+ {
2427
+ "epoch": 2.330769230769231,
2428
+ "grad_norm": 10.517285346984863,
2429
+ "learning_rate": 0.00010689230769230769,
2430
+ "loss": 0.6353,
2431
+ "step": 3030
2432
+ },
2433
+ {
2434
+ "epoch": 2.3384615384615386,
2435
+ "grad_norm": 2.867100954055786,
2436
+ "learning_rate": 0.00010661538461538463,
2437
+ "loss": 0.3472,
2438
+ "step": 3040
2439
+ },
2440
+ {
2441
+ "epoch": 2.3461538461538463,
2442
+ "grad_norm": 0.3064523935317993,
2443
+ "learning_rate": 0.0001063076923076923,
2444
+ "loss": 0.6559,
2445
+ "step": 3050
2446
+ },
2447
+ {
2448
+ "epoch": 2.353846153846154,
2449
+ "grad_norm": 0.7823086977005005,
2450
+ "learning_rate": 0.00010600000000000002,
2451
+ "loss": 0.1661,
2452
+ "step": 3060
2453
+ },
2454
+ {
2455
+ "epoch": 2.3615384615384616,
2456
+ "grad_norm": 4.2157158851623535,
2457
+ "learning_rate": 0.00010569230769230769,
2458
+ "loss": 0.1816,
2459
+ "step": 3070
2460
+ },
2461
+ {
2462
+ "epoch": 2.3692307692307693,
2463
+ "grad_norm": 0.19536501169204712,
2464
+ "learning_rate": 0.0001053846153846154,
2465
+ "loss": 0.1233,
2466
+ "step": 3080
2467
+ },
2468
+ {
2469
+ "epoch": 2.376923076923077,
2470
+ "grad_norm": 0.6156964898109436,
2471
+ "learning_rate": 0.00010507692307692307,
2472
+ "loss": 0.2515,
2473
+ "step": 3090
2474
+ },
2475
+ {
2476
+ "epoch": 2.3846153846153846,
2477
+ "grad_norm": 0.24189499020576477,
2478
+ "learning_rate": 0.00010476923076923078,
2479
+ "loss": 0.2116,
2480
+ "step": 3100
2481
+ },
2482
+ {
2483
+ "epoch": 2.3846153846153846,
2484
+ "eval_accuracy": 0.7009034712315739,
2485
+ "eval_f1": 0.7238279518965035,
2486
+ "eval_loss": 1.6707746982574463,
2487
+ "eval_runtime": 17.2105,
2488
+ "eval_samples_per_second": 122.193,
2489
+ "eval_steps_per_second": 15.281,
2490
+ "step": 3100
2491
+ },
2492
+ {
2493
+ "epoch": 2.3923076923076922,
2494
+ "grad_norm": 8.196181297302246,
2495
+ "learning_rate": 0.00010446153846153847,
2496
+ "loss": 0.4281,
2497
+ "step": 3110
2498
+ },
2499
+ {
2500
+ "epoch": 2.4,
2501
+ "grad_norm": 2.309295892715454,
2502
+ "learning_rate": 0.00010415384615384616,
2503
+ "loss": 0.2129,
2504
+ "step": 3120
2505
+ },
2506
+ {
2507
+ "epoch": 2.4076923076923076,
2508
+ "grad_norm": 17.341907501220703,
2509
+ "learning_rate": 0.00010384615384615386,
2510
+ "loss": 0.361,
2511
+ "step": 3130
2512
+ },
2513
+ {
2514
+ "epoch": 2.4153846153846152,
2515
+ "grad_norm": 4.917151927947998,
2516
+ "learning_rate": 0.00010353846153846154,
2517
+ "loss": 0.218,
2518
+ "step": 3140
2519
+ },
2520
+ {
2521
+ "epoch": 2.423076923076923,
2522
+ "grad_norm": 15.64272403717041,
2523
+ "learning_rate": 0.00010323076923076924,
2524
+ "loss": 0.2464,
2525
+ "step": 3150
2526
+ },
2527
+ {
2528
+ "epoch": 2.430769230769231,
2529
+ "grad_norm": 22.630794525146484,
2530
+ "learning_rate": 0.00010292307692307692,
2531
+ "loss": 0.4618,
2532
+ "step": 3160
2533
+ },
2534
+ {
2535
+ "epoch": 2.4384615384615387,
2536
+ "grad_norm": 17.146251678466797,
2537
+ "learning_rate": 0.00010261538461538462,
2538
+ "loss": 0.1442,
2539
+ "step": 3170
2540
+ },
2541
+ {
2542
+ "epoch": 2.4461538461538463,
2543
+ "grad_norm": 11.021916389465332,
2544
+ "learning_rate": 0.0001023076923076923,
2545
+ "loss": 0.2291,
2546
+ "step": 3180
2547
+ },
2548
+ {
2549
+ "epoch": 2.453846153846154,
2550
+ "grad_norm": 6.643194198608398,
2551
+ "learning_rate": 0.00010200000000000001,
2552
+ "loss": 0.1213,
2553
+ "step": 3190
2554
+ },
2555
+ {
2556
+ "epoch": 2.4615384615384617,
2557
+ "grad_norm": 8.800886154174805,
2558
+ "learning_rate": 0.00010169230769230768,
2559
+ "loss": 0.1918,
2560
+ "step": 3200
2561
+ },
2562
+ {
2563
+ "epoch": 2.4615384615384617,
2564
+ "eval_accuracy": 0.6913932477413219,
2565
+ "eval_f1": 0.6997775817133021,
2566
+ "eval_loss": 1.6221750974655151,
2567
+ "eval_runtime": 17.2655,
2568
+ "eval_samples_per_second": 121.804,
2569
+ "eval_steps_per_second": 15.233,
2570
+ "step": 3200
2571
+ },
2572
+ {
2573
+ "epoch": 2.4615384615384617,
2574
+ "step": 3200,
2575
+ "total_flos": 1.4730716562599117e+18,
2576
+ "train_loss": 0.7703810732765123,
2577
+ "train_runtime": 1237.8817,
2578
+ "train_samples_per_second": 41.987,
2579
+ "train_steps_per_second": 5.251
2580
+ }
2581
+ ],
2582
+ "logging_steps": 10,
2583
+ "max_steps": 6500,
2584
+ "num_input_tokens_seen": 0,
2585
+ "num_train_epochs": 5,
2586
+ "save_steps": 100,
2587
+ "stateful_callbacks": {
2588
+ "EarlyStoppingCallback": {
2589
+ "args": {
2590
+ "early_stopping_patience": 10,
2591
+ "early_stopping_threshold": 0.0001
2592
+ },
2593
+ "attributes": {
2594
+ "early_stopping_patience_counter": 10
2595
+ }
2596
+ },
2597
+ "TrainerControl": {
2598
+ "args": {
2599
+ "should_epoch_stop": false,
2600
+ "should_evaluate": false,
2601
+ "should_log": false,
2602
+ "should_save": true,
2603
+ "should_training_stop": true
2604
+ },
2605
+ "attributes": {}
2606
+ }
2607
+ },
2608
+ "total_flos": 1.4730716562599117e+18,
2609
+ "train_batch_size": 8,
2610
+ "trial_name": null,
2611
+ "trial_params": null
2612
+ }