chchen commited on
Commit
874210e
·
verified ·
1 Parent(s): 1e5023d

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: other
4
  base_model: mistralai/Ministral-8B-Instruct-2410
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: Ministral-8B-Instruct-2410-PsyCourse-fold3
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # Ministral-8B-Instruct-2410-PsyCourse-fold3
17
 
18
- This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0487
21
 
22
  ## Model description
23
 
 
4
  base_model: mistralai/Ministral-8B-Instruct-2410
5
  tags:
6
  - llama-factory
7
+ - lora
8
  - generated_from_trainer
9
  model-index:
10
  - name: Ministral-8B-Instruct-2410-PsyCourse-fold3
 
16
 
17
  # Ministral-8B-Instruct-2410-PsyCourse-fold3
18
 
19
+ This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on the course-train-fold1 dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.0309
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.994228549442093,
3
+ "eval_loss": 0.030947599560022354,
4
+ "eval_runtime": 201.0688,
5
+ "eval_samples_per_second": 5.749,
6
+ "eval_steps_per_second": 5.749,
7
+ "total_flos": 8.169046237996646e+17,
8
+ "train_loss": 0.03533345094547594,
9
+ "train_runtime": 44857.0674,
10
+ "train_samples_per_second": 1.159,
11
+ "train_steps_per_second": 0.072
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.994228549442093,
3
+ "eval_loss": 0.030947599560022354,
4
+ "eval_runtime": 201.0688,
5
+ "eval_samples_per_second": 5.749,
6
+ "eval_steps_per_second": 5.749
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.994228549442093,
3
+ "total_flos": 8.169046237996646e+17,
4
+ "train_loss": 0.03533345094547594,
5
+ "train_runtime": 44857.0674,
6
+ "train_samples_per_second": 1.159,
7
+ "train_steps_per_second": 0.072
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2822 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.030947599560022354,
3
+ "best_model_checkpoint": "saves/psy-course/Ministral-8B-Instruct-2410/train/fold3/checkpoint-1300",
4
+ "epoch": 4.994228549442093,
5
+ "eval_steps": 50,
6
+ "global_step": 3245,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.015390534821085032,
13
+ "grad_norm": 2.7129294872283936,
14
+ "learning_rate": 3.0769230769230774e-06,
15
+ "loss": 1.3361,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.030781069642170065,
20
+ "grad_norm": 2.7998530864715576,
21
+ "learning_rate": 6.153846153846155e-06,
22
+ "loss": 1.2705,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.0461716044632551,
27
+ "grad_norm": 3.176865339279175,
28
+ "learning_rate": 9.230769230769232e-06,
29
+ "loss": 1.0344,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.06156213928434013,
34
+ "grad_norm": 2.2590904235839844,
35
+ "learning_rate": 1.230769230769231e-05,
36
+ "loss": 0.5543,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.07695267410542517,
41
+ "grad_norm": 1.1336504220962524,
42
+ "learning_rate": 1.5384615384615387e-05,
43
+ "loss": 0.2581,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.07695267410542517,
48
+ "eval_loss": 0.24142955243587494,
49
+ "eval_runtime": 204.2818,
50
+ "eval_samples_per_second": 5.659,
51
+ "eval_steps_per_second": 5.659,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 0.0923432089265102,
56
+ "grad_norm": 1.488216519355774,
57
+ "learning_rate": 1.8461538461538465e-05,
58
+ "loss": 0.1591,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 0.10773374374759523,
63
+ "grad_norm": 1.2044562101364136,
64
+ "learning_rate": 2.1538461538461542e-05,
65
+ "loss": 0.1277,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 0.12312427856868026,
70
+ "grad_norm": 1.2177847623825073,
71
+ "learning_rate": 2.461538461538462e-05,
72
+ "loss": 0.1016,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 0.1385148133897653,
77
+ "grad_norm": 1.4868992567062378,
78
+ "learning_rate": 2.7692307692307694e-05,
79
+ "loss": 0.1181,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 0.15390534821085033,
84
+ "grad_norm": 0.7344977855682373,
85
+ "learning_rate": 3.0769230769230774e-05,
86
+ "loss": 0.0852,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 0.15390534821085033,
91
+ "eval_loss": 0.06964194774627686,
92
+ "eval_runtime": 206.1842,
93
+ "eval_samples_per_second": 5.607,
94
+ "eval_steps_per_second": 5.607,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 0.16929588303193535,
99
+ "grad_norm": 0.8094958662986755,
100
+ "learning_rate": 3.384615384615385e-05,
101
+ "loss": 0.0648,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 0.1846864178530204,
106
+ "grad_norm": 0.799035370349884,
107
+ "learning_rate": 3.692307692307693e-05,
108
+ "loss": 0.0724,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 0.2000769526741054,
113
+ "grad_norm": 1.0943729877471924,
114
+ "learning_rate": 4e-05,
115
+ "loss": 0.0693,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 0.21546748749519046,
120
+ "grad_norm": 0.7663387060165405,
121
+ "learning_rate": 4.3076923076923084e-05,
122
+ "loss": 0.079,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 0.2308580223162755,
127
+ "grad_norm": 0.9013597965240479,
128
+ "learning_rate": 4.615384615384616e-05,
129
+ "loss": 0.0612,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 0.2308580223162755,
134
+ "eval_loss": 0.05835791304707527,
135
+ "eval_runtime": 206.1691,
136
+ "eval_samples_per_second": 5.607,
137
+ "eval_steps_per_second": 5.607,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 0.24624855713736052,
142
+ "grad_norm": 0.7569472193717957,
143
+ "learning_rate": 4.923076923076924e-05,
144
+ "loss": 0.0614,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 0.26163909195844554,
149
+ "grad_norm": 0.7749213576316833,
150
+ "learning_rate": 5.230769230769231e-05,
151
+ "loss": 0.0611,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 0.2770296267795306,
156
+ "grad_norm": 0.8102966547012329,
157
+ "learning_rate": 5.538461538461539e-05,
158
+ "loss": 0.0527,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 0.2924201616006156,
163
+ "grad_norm": 0.3785383999347687,
164
+ "learning_rate": 5.846153846153847e-05,
165
+ "loss": 0.0446,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 0.30781069642170067,
170
+ "grad_norm": 0.5616209506988525,
171
+ "learning_rate": 6.153846153846155e-05,
172
+ "loss": 0.0579,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 0.30781069642170067,
177
+ "eval_loss": 0.05373537540435791,
178
+ "eval_runtime": 206.2593,
179
+ "eval_samples_per_second": 5.605,
180
+ "eval_steps_per_second": 5.605,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 0.3232012312427857,
185
+ "grad_norm": 0.7150264382362366,
186
+ "learning_rate": 6.461538461538462e-05,
187
+ "loss": 0.0547,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 0.3385917660638707,
192
+ "grad_norm": 0.8464581370353699,
193
+ "learning_rate": 6.76923076923077e-05,
194
+ "loss": 0.0499,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 0.35398230088495575,
199
+ "grad_norm": 0.361303448677063,
200
+ "learning_rate": 7.076923076923078e-05,
201
+ "loss": 0.0378,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 0.3693728357060408,
206
+ "grad_norm": 0.5058801770210266,
207
+ "learning_rate": 7.384615384615386e-05,
208
+ "loss": 0.0458,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 0.38476337052712584,
213
+ "grad_norm": 0.4638279378414154,
214
+ "learning_rate": 7.692307692307693e-05,
215
+ "loss": 0.0436,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 0.38476337052712584,
220
+ "eval_loss": 0.04330739751458168,
221
+ "eval_runtime": 206.3367,
222
+ "eval_samples_per_second": 5.602,
223
+ "eval_steps_per_second": 5.602,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 0.4001539053482108,
228
+ "grad_norm": 0.6122944951057434,
229
+ "learning_rate": 8e-05,
230
+ "loss": 0.0406,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 0.41554444016929587,
235
+ "grad_norm": 0.43344515562057495,
236
+ "learning_rate": 8.307692307692309e-05,
237
+ "loss": 0.0416,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 0.4309349749903809,
242
+ "grad_norm": 0.5257235169410706,
243
+ "learning_rate": 8.615384615384617e-05,
244
+ "loss": 0.0542,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 0.44632550981146596,
249
+ "grad_norm": 0.43893206119537354,
250
+ "learning_rate": 8.923076923076924e-05,
251
+ "loss": 0.0505,
252
+ "step": 290
253
+ },
254
+ {
255
+ "epoch": 0.461716044632551,
256
+ "grad_norm": 0.39863696694374084,
257
+ "learning_rate": 9.230769230769232e-05,
258
+ "loss": 0.0395,
259
+ "step": 300
260
+ },
261
+ {
262
+ "epoch": 0.461716044632551,
263
+ "eval_loss": 0.04695376381278038,
264
+ "eval_runtime": 206.5581,
265
+ "eval_samples_per_second": 5.596,
266
+ "eval_steps_per_second": 5.596,
267
+ "step": 300
268
+ },
269
+ {
270
+ "epoch": 0.477106579453636,
271
+ "grad_norm": 0.48693934082984924,
272
+ "learning_rate": 9.53846153846154e-05,
273
+ "loss": 0.0513,
274
+ "step": 310
275
+ },
276
+ {
277
+ "epoch": 0.49249711427472104,
278
+ "grad_norm": 0.3248462975025177,
279
+ "learning_rate": 9.846153846153848e-05,
280
+ "loss": 0.0486,
281
+ "step": 320
282
+ },
283
+ {
284
+ "epoch": 0.5078876490958061,
285
+ "grad_norm": 0.4264102578163147,
286
+ "learning_rate": 9.999927654251793e-05,
287
+ "loss": 0.0478,
288
+ "step": 330
289
+ },
290
+ {
291
+ "epoch": 0.5232781839168911,
292
+ "grad_norm": 0.40055567026138306,
293
+ "learning_rate": 9.99934890082745e-05,
294
+ "loss": 0.0448,
295
+ "step": 340
296
+ },
297
+ {
298
+ "epoch": 0.5386687187379762,
299
+ "grad_norm": 0.436410129070282,
300
+ "learning_rate": 9.99819146097084e-05,
301
+ "loss": 0.0436,
302
+ "step": 350
303
+ },
304
+ {
305
+ "epoch": 0.5386687187379762,
306
+ "eval_loss": 0.04537563398480415,
307
+ "eval_runtime": 206.6595,
308
+ "eval_samples_per_second": 5.594,
309
+ "eval_steps_per_second": 5.594,
310
+ "step": 350
311
+ },
312
+ {
313
+ "epoch": 0.5540592535590612,
314
+ "grad_norm": 0.3384298086166382,
315
+ "learning_rate": 9.996455468658355e-05,
316
+ "loss": 0.0556,
317
+ "step": 360
318
+ },
319
+ {
320
+ "epoch": 0.5694497883801463,
321
+ "grad_norm": 0.41121906042099,
322
+ "learning_rate": 9.994141124835203e-05,
323
+ "loss": 0.0382,
324
+ "step": 370
325
+ },
326
+ {
327
+ "epoch": 0.5848403232012312,
328
+ "grad_norm": 0.6204984784126282,
329
+ "learning_rate": 9.991248697392142e-05,
330
+ "loss": 0.0389,
331
+ "step": 380
332
+ },
333
+ {
334
+ "epoch": 0.6002308580223162,
335
+ "grad_norm": 0.5442774891853333,
336
+ "learning_rate": 9.987778521134476e-05,
337
+ "loss": 0.0342,
338
+ "step": 390
339
+ },
340
+ {
341
+ "epoch": 0.6156213928434013,
342
+ "grad_norm": 0.33074888586997986,
343
+ "learning_rate": 9.983730997743294e-05,
344
+ "loss": 0.0487,
345
+ "step": 400
346
+ },
347
+ {
348
+ "epoch": 0.6156213928434013,
349
+ "eval_loss": 0.043601877987384796,
350
+ "eval_runtime": 206.598,
351
+ "eval_samples_per_second": 5.595,
352
+ "eval_steps_per_second": 5.595,
353
+ "step": 400
354
+ },
355
+ {
356
+ "epoch": 0.6310119276644863,
357
+ "grad_norm": 0.29724112153053284,
358
+ "learning_rate": 9.979106595728978e-05,
359
+ "loss": 0.0416,
360
+ "step": 410
361
+ },
362
+ {
363
+ "epoch": 0.6464024624855714,
364
+ "grad_norm": 0.492950975894928,
365
+ "learning_rate": 9.973905850376977e-05,
366
+ "loss": 0.0467,
367
+ "step": 420
368
+ },
369
+ {
370
+ "epoch": 0.6617929973066564,
371
+ "grad_norm": 0.5168049931526184,
372
+ "learning_rate": 9.968129363685833e-05,
373
+ "loss": 0.0441,
374
+ "step": 430
375
+ },
376
+ {
377
+ "epoch": 0.6771835321277414,
378
+ "grad_norm": 0.4878815710544586,
379
+ "learning_rate": 9.961777804297514e-05,
380
+ "loss": 0.06,
381
+ "step": 440
382
+ },
383
+ {
384
+ "epoch": 0.6925740669488265,
385
+ "grad_norm": 0.486400842666626,
386
+ "learning_rate": 9.954851907420009e-05,
387
+ "loss": 0.0302,
388
+ "step": 450
389
+ },
390
+ {
391
+ "epoch": 0.6925740669488265,
392
+ "eval_loss": 0.0376572348177433,
393
+ "eval_runtime": 206.2438,
394
+ "eval_samples_per_second": 5.605,
395
+ "eval_steps_per_second": 5.605,
396
+ "step": 450
397
+ },
398
+ {
399
+ "epoch": 0.7079646017699115,
400
+ "grad_norm": 0.19189871847629547,
401
+ "learning_rate": 9.947352474742222e-05,
402
+ "loss": 0.0345,
403
+ "step": 460
404
+ },
405
+ {
406
+ "epoch": 0.7233551365909965,
407
+ "grad_norm": 0.35765111446380615,
408
+ "learning_rate": 9.93928037434118e-05,
409
+ "loss": 0.0309,
410
+ "step": 470
411
+ },
412
+ {
413
+ "epoch": 0.7387456714120816,
414
+ "grad_norm": 0.6570756435394287,
415
+ "learning_rate": 9.930636540581556e-05,
416
+ "loss": 0.0423,
417
+ "step": 480
418
+ },
419
+ {
420
+ "epoch": 0.7541362062331666,
421
+ "grad_norm": 0.22649993002414703,
422
+ "learning_rate": 9.921421974007506e-05,
423
+ "loss": 0.0444,
424
+ "step": 490
425
+ },
426
+ {
427
+ "epoch": 0.7695267410542517,
428
+ "grad_norm": 0.3664339780807495,
429
+ "learning_rate": 9.911637741226849e-05,
430
+ "loss": 0.0301,
431
+ "step": 500
432
+ },
433
+ {
434
+ "epoch": 0.7695267410542517,
435
+ "eval_loss": 0.03770829364657402,
436
+ "eval_runtime": 206.2208,
437
+ "eval_samples_per_second": 5.606,
438
+ "eval_steps_per_second": 5.606,
439
+ "step": 500
440
+ },
441
+ {
442
+ "epoch": 0.7849172758753367,
443
+ "grad_norm": 0.41719621419906616,
444
+ "learning_rate": 9.90128497478762e-05,
445
+ "loss": 0.0312,
446
+ "step": 510
447
+ },
448
+ {
449
+ "epoch": 0.8003078106964217,
450
+ "grad_norm": 0.30601200461387634,
451
+ "learning_rate": 9.890364873046965e-05,
452
+ "loss": 0.0428,
453
+ "step": 520
454
+ },
455
+ {
456
+ "epoch": 0.8156983455175068,
457
+ "grad_norm": 0.3862694203853607,
458
+ "learning_rate": 9.878878700032427e-05,
459
+ "loss": 0.0528,
460
+ "step": 530
461
+ },
462
+ {
463
+ "epoch": 0.8310888803385917,
464
+ "grad_norm": 0.3709644377231598,
465
+ "learning_rate": 9.866827785295638e-05,
466
+ "loss": 0.0436,
467
+ "step": 540
468
+ },
469
+ {
470
+ "epoch": 0.8464794151596768,
471
+ "grad_norm": 0.2840009331703186,
472
+ "learning_rate": 9.854213523758413e-05,
473
+ "loss": 0.0422,
474
+ "step": 550
475
+ },
476
+ {
477
+ "epoch": 0.8464794151596768,
478
+ "eval_loss": 0.035304248332977295,
479
+ "eval_runtime": 206.2335,
480
+ "eval_samples_per_second": 5.605,
481
+ "eval_steps_per_second": 5.605,
482
+ "step": 550
483
+ },
484
+ {
485
+ "epoch": 0.8618699499807618,
486
+ "grad_norm": 0.2940672039985657,
487
+ "learning_rate": 9.841037375551294e-05,
488
+ "loss": 0.0354,
489
+ "step": 560
490
+ },
491
+ {
492
+ "epoch": 0.8772604848018468,
493
+ "grad_norm": 0.26936912536621094,
494
+ "learning_rate": 9.827300865844527e-05,
495
+ "loss": 0.027,
496
+ "step": 570
497
+ },
498
+ {
499
+ "epoch": 0.8926510196229319,
500
+ "grad_norm": 0.3261650800704956,
501
+ "learning_rate": 9.813005584671522e-05,
502
+ "loss": 0.0349,
503
+ "step": 580
504
+ },
505
+ {
506
+ "epoch": 0.9080415544440169,
507
+ "grad_norm": 0.2601899206638336,
508
+ "learning_rate": 9.79815318674481e-05,
509
+ "loss": 0.0522,
510
+ "step": 590
511
+ },
512
+ {
513
+ "epoch": 0.923432089265102,
514
+ "grad_norm": 0.35210129618644714,
515
+ "learning_rate": 9.782745391264498e-05,
516
+ "loss": 0.0352,
517
+ "step": 600
518
+ },
519
+ {
520
+ "epoch": 0.923432089265102,
521
+ "eval_loss": 0.034105055034160614,
522
+ "eval_runtime": 206.1896,
523
+ "eval_samples_per_second": 5.606,
524
+ "eval_steps_per_second": 5.606,
525
+ "step": 600
526
+ },
527
+ {
528
+ "epoch": 0.938822624086187,
529
+ "grad_norm": 0.5016776323318481,
530
+ "learning_rate": 9.76678398171927e-05,
531
+ "loss": 0.0329,
532
+ "step": 610
533
+ },
534
+ {
535
+ "epoch": 0.954213158907272,
536
+ "grad_norm": 0.5350625514984131,
537
+ "learning_rate": 9.750270805679945e-05,
538
+ "loss": 0.0439,
539
+ "step": 620
540
+ },
541
+ {
542
+ "epoch": 0.9696036937283571,
543
+ "grad_norm": 0.3558119237422943,
544
+ "learning_rate": 9.733207774585618e-05,
545
+ "loss": 0.0434,
546
+ "step": 630
547
+ },
548
+ {
549
+ "epoch": 0.9849942285494421,
550
+ "grad_norm": 0.2524898648262024,
551
+ "learning_rate": 9.715596863522398e-05,
552
+ "loss": 0.0323,
553
+ "step": 640
554
+ },
555
+ {
556
+ "epoch": 1.0003847633705272,
557
+ "grad_norm": 0.2947213351726532,
558
+ "learning_rate": 9.697440110994801e-05,
559
+ "loss": 0.0327,
560
+ "step": 650
561
+ },
562
+ {
563
+ "epoch": 1.0003847633705272,
564
+ "eval_loss": 0.03460729122161865,
565
+ "eval_runtime": 206.0695,
566
+ "eval_samples_per_second": 5.61,
567
+ "eval_steps_per_second": 5.61,
568
+ "step": 650
569
+ },
570
+ {
571
+ "epoch": 1.0157752981916122,
572
+ "grad_norm": 0.2889857590198517,
573
+ "learning_rate": 9.678739618689775e-05,
574
+ "loss": 0.0328,
575
+ "step": 660
576
+ },
577
+ {
578
+ "epoch": 1.0311658330126972,
579
+ "grad_norm": 0.2618435323238373,
580
+ "learning_rate": 9.659497551233431e-05,
581
+ "loss": 0.0319,
582
+ "step": 670
583
+ },
584
+ {
585
+ "epoch": 1.0465563678337821,
586
+ "grad_norm": 0.2214561402797699,
587
+ "learning_rate": 9.639716135940485e-05,
588
+ "loss": 0.033,
589
+ "step": 680
590
+ },
591
+ {
592
+ "epoch": 1.0619469026548674,
593
+ "grad_norm": 0.5059773921966553,
594
+ "learning_rate": 9.619397662556435e-05,
595
+ "loss": 0.0459,
596
+ "step": 690
597
+ },
598
+ {
599
+ "epoch": 1.0773374374759523,
600
+ "grad_norm": 0.4088204801082611,
601
+ "learning_rate": 9.598544482992517e-05,
602
+ "loss": 0.0328,
603
+ "step": 700
604
+ },
605
+ {
606
+ "epoch": 1.0773374374759523,
607
+ "eval_loss": 0.03613020479679108,
608
+ "eval_runtime": 206.0875,
609
+ "eval_samples_per_second": 5.609,
610
+ "eval_steps_per_second": 5.609,
611
+ "step": 700
612
+ },
613
+ {
614
+ "epoch": 1.0927279722970373,
615
+ "grad_norm": 0.3483586013317108,
616
+ "learning_rate": 9.57715901105348e-05,
617
+ "loss": 0.0304,
618
+ "step": 710
619
+ },
620
+ {
621
+ "epoch": 1.1081185071181223,
622
+ "grad_norm": 0.26023438572883606,
623
+ "learning_rate": 9.555243722158158e-05,
624
+ "loss": 0.0296,
625
+ "step": 720
626
+ },
627
+ {
628
+ "epoch": 1.1235090419392073,
629
+ "grad_norm": 0.3373538553714752,
630
+ "learning_rate": 9.532801153052958e-05,
631
+ "loss": 0.0271,
632
+ "step": 730
633
+ },
634
+ {
635
+ "epoch": 1.1388995767602923,
636
+ "grad_norm": 0.5894502997398376,
637
+ "learning_rate": 9.509833901518209e-05,
638
+ "loss": 0.0373,
639
+ "step": 740
640
+ },
641
+ {
642
+ "epoch": 1.1542901115813775,
643
+ "grad_norm": 0.4273133873939514,
644
+ "learning_rate": 9.486344626067475e-05,
645
+ "loss": 0.0278,
646
+ "step": 750
647
+ },
648
+ {
649
+ "epoch": 1.1542901115813775,
650
+ "eval_loss": 0.03469457849860191,
651
+ "eval_runtime": 206.0887,
652
+ "eval_samples_per_second": 5.609,
653
+ "eval_steps_per_second": 5.609,
654
+ "step": 750
655
+ },
656
+ {
657
+ "epoch": 1.1696806464024625,
658
+ "grad_norm": 0.2676852345466614,
659
+ "learning_rate": 9.462336045639815e-05,
660
+ "loss": 0.0332,
661
+ "step": 760
662
+ },
663
+ {
664
+ "epoch": 1.1850711812235475,
665
+ "grad_norm": 0.2201552540063858,
666
+ "learning_rate": 9.437810939285068e-05,
667
+ "loss": 0.0366,
668
+ "step": 770
669
+ },
670
+ {
671
+ "epoch": 1.2004617160446325,
672
+ "grad_norm": 0.3264544904232025,
673
+ "learning_rate": 9.412772145842165e-05,
674
+ "loss": 0.0351,
675
+ "step": 780
676
+ },
677
+ {
678
+ "epoch": 1.2158522508657175,
679
+ "grad_norm": 0.3948807716369629,
680
+ "learning_rate": 9.387222563610535e-05,
681
+ "loss": 0.0346,
682
+ "step": 790
683
+ },
684
+ {
685
+ "epoch": 1.2312427856868027,
686
+ "grad_norm": 0.28096306324005127,
687
+ "learning_rate": 9.361165150014606e-05,
688
+ "loss": 0.0277,
689
+ "step": 800
690
+ },
691
+ {
692
+ "epoch": 1.2312427856868027,
693
+ "eval_loss": 0.03360264375805855,
694
+ "eval_runtime": 206.0768,
695
+ "eval_samples_per_second": 5.61,
696
+ "eval_steps_per_second": 5.61,
697
+ "step": 800
698
+ },
699
+ {
700
+ "epoch": 1.2466333205078877,
701
+ "grad_norm": 0.1512415111064911,
702
+ "learning_rate": 9.334602921261492e-05,
703
+ "loss": 0.0295,
704
+ "step": 810
705
+ },
706
+ {
707
+ "epoch": 1.2620238553289727,
708
+ "grad_norm": 0.38847845792770386,
709
+ "learning_rate": 9.307538951991852e-05,
710
+ "loss": 0.0266,
711
+ "step": 820
712
+ },
713
+ {
714
+ "epoch": 1.2774143901500576,
715
+ "grad_norm": 0.2812429368495941,
716
+ "learning_rate": 9.279976374923988e-05,
717
+ "loss": 0.0322,
718
+ "step": 830
719
+ },
720
+ {
721
+ "epoch": 1.2928049249711426,
722
+ "grad_norm": 0.3665665090084076,
723
+ "learning_rate": 9.251918380491238e-05,
724
+ "loss": 0.0263,
725
+ "step": 840
726
+ },
727
+ {
728
+ "epoch": 1.3081954597922278,
729
+ "grad_norm": 0.31587252020835876,
730
+ "learning_rate": 9.223368216472668e-05,
731
+ "loss": 0.0278,
732
+ "step": 850
733
+ },
734
+ {
735
+ "epoch": 1.3081954597922278,
736
+ "eval_loss": 0.034673381596803665,
737
+ "eval_runtime": 206.167,
738
+ "eval_samples_per_second": 5.607,
739
+ "eval_steps_per_second": 5.607,
740
+ "step": 850
741
+ },
742
+ {
743
+ "epoch": 1.3235859946133128,
744
+ "grad_norm": 0.22272425889968872,
745
+ "learning_rate": 9.194329187617127e-05,
746
+ "loss": 0.0262,
747
+ "step": 860
748
+ },
749
+ {
750
+ "epoch": 1.3389765294343978,
751
+ "grad_norm": 0.9581472873687744,
752
+ "learning_rate": 9.164804655260735e-05,
753
+ "loss": 0.0268,
754
+ "step": 870
755
+ },
756
+ {
757
+ "epoch": 1.3543670642554828,
758
+ "grad_norm": 0.17257864773273468,
759
+ "learning_rate": 9.134798036937778e-05,
760
+ "loss": 0.0273,
761
+ "step": 880
762
+ },
763
+ {
764
+ "epoch": 1.3697575990765678,
765
+ "grad_norm": 0.24850012362003326,
766
+ "learning_rate": 9.104312805985134e-05,
767
+ "loss": 0.0377,
768
+ "step": 890
769
+ },
770
+ {
771
+ "epoch": 1.385148133897653,
772
+ "grad_norm": 0.2794986665248871,
773
+ "learning_rate": 9.073352491140221e-05,
774
+ "loss": 0.0208,
775
+ "step": 900
776
+ },
777
+ {
778
+ "epoch": 1.385148133897653,
779
+ "eval_loss": 0.034112174063920975,
780
+ "eval_runtime": 206.049,
781
+ "eval_samples_per_second": 5.61,
782
+ "eval_steps_per_second": 5.61,
783
+ "step": 900
784
+ },
785
+ {
786
+ "epoch": 1.400538668718738,
787
+ "grad_norm": 0.29584696888923645,
788
+ "learning_rate": 9.041920676132543e-05,
789
+ "loss": 0.0307,
790
+ "step": 910
791
+ },
792
+ {
793
+ "epoch": 1.415929203539823,
794
+ "grad_norm": 0.2715909779071808,
795
+ "learning_rate": 9.010020999268854e-05,
796
+ "loss": 0.0305,
797
+ "step": 920
798
+ },
799
+ {
800
+ "epoch": 1.431319738360908,
801
+ "grad_norm": 0.27279144525527954,
802
+ "learning_rate": 8.977657153012027e-05,
803
+ "loss": 0.0282,
804
+ "step": 930
805
+ },
806
+ {
807
+ "epoch": 1.446710273181993,
808
+ "grad_norm": 0.532991349697113,
809
+ "learning_rate": 8.944832883553633e-05,
810
+ "loss": 0.0292,
811
+ "step": 940
812
+ },
813
+ {
814
+ "epoch": 1.4621008080030782,
815
+ "grad_norm": 0.12468016147613525,
816
+ "learning_rate": 8.91155199038032e-05,
817
+ "loss": 0.037,
818
+ "step": 950
819
+ },
820
+ {
821
+ "epoch": 1.4621008080030782,
822
+ "eval_loss": 0.03454824537038803,
823
+ "eval_runtime": 205.9458,
824
+ "eval_samples_per_second": 5.613,
825
+ "eval_steps_per_second": 5.613,
826
+ "step": 950
827
+ },
828
+ {
829
+ "epoch": 1.4774913428241632,
830
+ "grad_norm": 0.2593000531196594,
831
+ "learning_rate": 8.877818325834006e-05,
832
+ "loss": 0.0293,
833
+ "step": 960
834
+ },
835
+ {
836
+ "epoch": 1.4928818776452482,
837
+ "grad_norm": 0.12138005346059799,
838
+ "learning_rate": 8.843635794665961e-05,
839
+ "loss": 0.0233,
840
+ "step": 970
841
+ },
842
+ {
843
+ "epoch": 1.5082724124663334,
844
+ "grad_norm": 0.38476723432540894,
845
+ "learning_rate": 8.809008353584829e-05,
846
+ "loss": 0.0304,
847
+ "step": 980
848
+ },
849
+ {
850
+ "epoch": 1.5236629472874181,
851
+ "grad_norm": 0.2522941827774048,
852
+ "learning_rate": 8.773940010798627e-05,
853
+ "loss": 0.0301,
854
+ "step": 990
855
+ },
856
+ {
857
+ "epoch": 1.5390534821085033,
858
+ "grad_norm": 0.41724494099617004,
859
+ "learning_rate": 8.738434825550785e-05,
860
+ "loss": 0.0335,
861
+ "step": 1000
862
+ },
863
+ {
864
+ "epoch": 1.5390534821085033,
865
+ "eval_loss": 0.035657770931720734,
866
+ "eval_runtime": 205.9581,
867
+ "eval_samples_per_second": 5.613,
868
+ "eval_steps_per_second": 5.613,
869
+ "step": 1000
870
+ },
871
+ {
872
+ "epoch": 1.5544440169295883,
873
+ "grad_norm": 0.3103076219558716,
874
+ "learning_rate": 8.702496907650274e-05,
875
+ "loss": 0.0346,
876
+ "step": 1010
877
+ },
878
+ {
879
+ "epoch": 1.5698345517506733,
880
+ "grad_norm": 0.3300725519657135,
881
+ "learning_rate": 8.666130416995897e-05,
882
+ "loss": 0.0328,
883
+ "step": 1020
884
+ },
885
+ {
886
+ "epoch": 1.5852250865717585,
887
+ "grad_norm": 0.29734182357788086,
888
+ "learning_rate": 8.629339563094758e-05,
889
+ "loss": 0.0286,
890
+ "step": 1030
891
+ },
892
+ {
893
+ "epoch": 1.6006156213928433,
894
+ "grad_norm": 0.39744675159454346,
895
+ "learning_rate": 8.592128604575014e-05,
896
+ "loss": 0.0258,
897
+ "step": 1040
898
+ },
899
+ {
900
+ "epoch": 1.6160061562139285,
901
+ "grad_norm": 0.24222847819328308,
902
+ "learning_rate": 8.554501848692921e-05,
903
+ "loss": 0.0305,
904
+ "step": 1050
905
+ },
906
+ {
907
+ "epoch": 1.6160061562139285,
908
+ "eval_loss": 0.032191626727581024,
909
+ "eval_runtime": 206.0598,
910
+ "eval_samples_per_second": 5.61,
911
+ "eval_steps_per_second": 5.61,
912
+ "step": 1050
913
+ },
914
+ {
915
+ "epoch": 1.6313966910350135,
916
+ "grad_norm": 0.1691523939371109,
917
+ "learning_rate": 8.51646365083426e-05,
918
+ "loss": 0.0236,
919
+ "step": 1060
920
+ },
921
+ {
922
+ "epoch": 1.6467872258560985,
923
+ "grad_norm": 0.2633664608001709,
924
+ "learning_rate": 8.478018414010191e-05,
925
+ "loss": 0.0288,
926
+ "step": 1070
927
+ },
928
+ {
929
+ "epoch": 1.6621777606771835,
930
+ "grad_norm": 0.5212844014167786,
931
+ "learning_rate": 8.439170588347598e-05,
932
+ "loss": 0.023,
933
+ "step": 1080
934
+ },
935
+ {
936
+ "epoch": 1.6775682954982685,
937
+ "grad_norm": 0.904237687587738,
938
+ "learning_rate": 8.399924670573969e-05,
939
+ "loss": 0.0308,
940
+ "step": 1090
941
+ },
942
+ {
943
+ "epoch": 1.6929588303193537,
944
+ "grad_norm": 0.3433602452278137,
945
+ "learning_rate": 8.360285203496894e-05,
946
+ "loss": 0.0337,
947
+ "step": 1100
948
+ },
949
+ {
950
+ "epoch": 1.6929588303193537,
951
+ "eval_loss": 0.03766747564077377,
952
+ "eval_runtime": 205.8986,
953
+ "eval_samples_per_second": 5.614,
954
+ "eval_steps_per_second": 5.614,
955
+ "step": 1100
956
+ },
957
+ {
958
+ "epoch": 1.7083493651404387,
959
+ "grad_norm": 0.3405746519565582,
960
+ "learning_rate": 8.320256775478228e-05,
961
+ "loss": 0.0318,
962
+ "step": 1110
963
+ },
964
+ {
965
+ "epoch": 1.7237398999615237,
966
+ "grad_norm": 0.2209967076778412,
967
+ "learning_rate": 8.279844019902968e-05,
968
+ "loss": 0.0226,
969
+ "step": 1120
970
+ },
971
+ {
972
+ "epoch": 1.7391304347826086,
973
+ "grad_norm": 0.40576061606407166,
974
+ "learning_rate": 8.239051614642934e-05,
975
+ "loss": 0.0344,
976
+ "step": 1130
977
+ },
978
+ {
979
+ "epoch": 1.7545209696036936,
980
+ "grad_norm": 0.2081703245639801,
981
+ "learning_rate": 8.197884281515292e-05,
982
+ "loss": 0.039,
983
+ "step": 1140
984
+ },
985
+ {
986
+ "epoch": 1.7699115044247788,
987
+ "grad_norm": 0.15152692794799805,
988
+ "learning_rate": 8.156346785735997e-05,
989
+ "loss": 0.0221,
990
+ "step": 1150
991
+ },
992
+ {
993
+ "epoch": 1.7699115044247788,
994
+ "eval_loss": 0.03250744193792343,
995
+ "eval_runtime": 206.0014,
996
+ "eval_samples_per_second": 5.612,
997
+ "eval_steps_per_second": 5.612,
998
+ "step": 1150
999
+ },
1000
+ {
1001
+ "epoch": 1.7853020392458638,
1002
+ "grad_norm": 0.1951758712530136,
1003
+ "learning_rate": 8.114443935368198e-05,
1004
+ "loss": 0.0328,
1005
+ "step": 1160
1006
+ },
1007
+ {
1008
+ "epoch": 1.8006925740669488,
1009
+ "grad_norm": 0.27299606800079346,
1010
+ "learning_rate": 8.072180580765709e-05,
1011
+ "loss": 0.0236,
1012
+ "step": 1170
1013
+ },
1014
+ {
1015
+ "epoch": 1.8160831088880338,
1016
+ "grad_norm": 0.3067050278186798,
1017
+ "learning_rate": 8.02956161401155e-05,
1018
+ "loss": 0.0245,
1019
+ "step": 1180
1020
+ },
1021
+ {
1022
+ "epoch": 1.8314736437091188,
1023
+ "grad_norm": 0.3050411343574524,
1024
+ "learning_rate": 7.98659196835169e-05,
1025
+ "loss": 0.0294,
1026
+ "step": 1190
1027
+ },
1028
+ {
1029
+ "epoch": 1.846864178530204,
1030
+ "grad_norm": 0.14683391153812408,
1031
+ "learning_rate": 7.943276617624014e-05,
1032
+ "loss": 0.0192,
1033
+ "step": 1200
1034
+ },
1035
+ {
1036
+ "epoch": 1.846864178530204,
1037
+ "eval_loss": 0.03784427046775818,
1038
+ "eval_runtime": 205.7569,
1039
+ "eval_samples_per_second": 5.618,
1040
+ "eval_steps_per_second": 5.618,
1041
+ "step": 1200
1042
+ },
1043
+ {
1044
+ "epoch": 1.862254713351289,
1045
+ "grad_norm": 0.40251582860946655,
1046
+ "learning_rate": 7.899620575682578e-05,
1047
+ "loss": 0.027,
1048
+ "step": 1210
1049
+ },
1050
+ {
1051
+ "epoch": 1.877645248172374,
1052
+ "grad_norm": 0.171850323677063,
1053
+ "learning_rate": 7.85562889581725e-05,
1054
+ "loss": 0.0234,
1055
+ "step": 1220
1056
+ },
1057
+ {
1058
+ "epoch": 1.893035782993459,
1059
+ "grad_norm": 0.123468779027462,
1060
+ "learning_rate": 7.811306670168788e-05,
1061
+ "loss": 0.0278,
1062
+ "step": 1230
1063
+ },
1064
+ {
1065
+ "epoch": 1.908426317814544,
1066
+ "grad_norm": 0.2736228406429291,
1067
+ "learning_rate": 7.766659029139393e-05,
1068
+ "loss": 0.0338,
1069
+ "step": 1240
1070
+ },
1071
+ {
1072
+ "epoch": 1.9238168526356292,
1073
+ "grad_norm": 0.5321407914161682,
1074
+ "learning_rate": 7.72169114079887e-05,
1075
+ "loss": 0.0282,
1076
+ "step": 1250
1077
+ },
1078
+ {
1079
+ "epoch": 1.9238168526356292,
1080
+ "eval_loss": 0.03249868378043175,
1081
+ "eval_runtime": 205.8007,
1082
+ "eval_samples_per_second": 5.617,
1083
+ "eval_steps_per_second": 5.617,
1084
+ "step": 1250
1085
+ },
1086
+ {
1087
+ "epoch": 1.9392073874567142,
1088
+ "grad_norm": 0.7650699615478516,
1089
+ "learning_rate": 7.676408210286407e-05,
1090
+ "loss": 0.03,
1091
+ "step": 1260
1092
+ },
1093
+ {
1094
+ "epoch": 1.9545979222777992,
1095
+ "grad_norm": 0.2135242223739624,
1096
+ "learning_rate": 7.630815479208066e-05,
1097
+ "loss": 0.0323,
1098
+ "step": 1270
1099
+ },
1100
+ {
1101
+ "epoch": 1.9699884570988841,
1102
+ "grad_norm": 0.23481760919094086,
1103
+ "learning_rate": 7.584918225030053e-05,
1104
+ "loss": 0.024,
1105
+ "step": 1280
1106
+ },
1107
+ {
1108
+ "epoch": 1.9853789919199691,
1109
+ "grad_norm": 0.6037285923957825,
1110
+ "learning_rate": 7.538721760467845e-05,
1111
+ "loss": 0.0316,
1112
+ "step": 1290
1113
+ },
1114
+ {
1115
+ "epoch": 2.0007695267410543,
1116
+ "grad_norm": 0.1242920458316803,
1117
+ "learning_rate": 7.49223143287122e-05,
1118
+ "loss": 0.0216,
1119
+ "step": 1300
1120
+ },
1121
+ {
1122
+ "epoch": 2.0007695267410543,
1123
+ "eval_loss": 0.030947599560022354,
1124
+ "eval_runtime": 205.7097,
1125
+ "eval_samples_per_second": 5.62,
1126
+ "eval_steps_per_second": 5.62,
1127
+ "step": 1300
1128
+ },
1129
+ {
1130
+ "epoch": 2.016160061562139,
1131
+ "grad_norm": 0.2552458941936493,
1132
+ "learning_rate": 7.445452623605307e-05,
1133
+ "loss": 0.0169,
1134
+ "step": 1310
1135
+ },
1136
+ {
1137
+ "epoch": 2.0315505963832243,
1138
+ "grad_norm": 0.45093226432800293,
1139
+ "learning_rate": 7.398390747427662e-05,
1140
+ "loss": 0.0174,
1141
+ "step": 1320
1142
+ },
1143
+ {
1144
+ "epoch": 2.0469411312043095,
1145
+ "grad_norm": 0.30306553840637207,
1146
+ "learning_rate": 7.351051251861501e-05,
1147
+ "loss": 0.018,
1148
+ "step": 1330
1149
+ },
1150
+ {
1151
+ "epoch": 2.0623316660253943,
1152
+ "grad_norm": 0.07415292412042618,
1153
+ "learning_rate": 7.303439616565146e-05,
1154
+ "loss": 0.0205,
1155
+ "step": 1340
1156
+ },
1157
+ {
1158
+ "epoch": 2.0777222008464795,
1159
+ "grad_norm": 0.19454999268054962,
1160
+ "learning_rate": 7.255561352697732e-05,
1161
+ "loss": 0.0172,
1162
+ "step": 1350
1163
+ },
1164
+ {
1165
+ "epoch": 2.0777222008464795,
1166
+ "eval_loss": 0.031199408695101738,
1167
+ "eval_runtime": 205.533,
1168
+ "eval_samples_per_second": 5.624,
1169
+ "eval_steps_per_second": 5.624,
1170
+ "step": 1350
1171
+ },
1172
+ {
1173
+ "epoch": 2.0931127356675643,
1174
+ "grad_norm": 0.2673622965812683,
1175
+ "learning_rate": 7.207422002281281e-05,
1176
+ "loss": 0.0189,
1177
+ "step": 1360
1178
+ },
1179
+ {
1180
+ "epoch": 2.1085032704886495,
1181
+ "grad_norm": 0.5548039078712463,
1182
+ "learning_rate": 7.159027137559197e-05,
1183
+ "loss": 0.0162,
1184
+ "step": 1370
1185
+ },
1186
+ {
1187
+ "epoch": 2.1238938053097347,
1188
+ "grad_norm": 0.15172356367111206,
1189
+ "learning_rate": 7.110382360351267e-05,
1190
+ "loss": 0.014,
1191
+ "step": 1380
1192
+ },
1193
+ {
1194
+ "epoch": 2.1392843401308195,
1195
+ "grad_norm": 0.10359642654657364,
1196
+ "learning_rate": 7.061493301405244e-05,
1197
+ "loss": 0.0139,
1198
+ "step": 1390
1199
+ },
1200
+ {
1201
+ "epoch": 2.1546748749519047,
1202
+ "grad_norm": 0.5064147710800171,
1203
+ "learning_rate": 7.012365619745064e-05,
1204
+ "loss": 0.0238,
1205
+ "step": 1400
1206
+ },
1207
+ {
1208
+ "epoch": 2.1546748749519047,
1209
+ "eval_loss": 0.03423206880688667,
1210
+ "eval_runtime": 206.0002,
1211
+ "eval_samples_per_second": 5.612,
1212
+ "eval_steps_per_second": 5.612,
1213
+ "step": 1400
1214
+ },
1215
+ {
1216
+ "epoch": 2.1700654097729895,
1217
+ "grad_norm": 0.0905536487698555,
1218
+ "learning_rate": 6.963005002015808e-05,
1219
+ "loss": 0.0174,
1220
+ "step": 1410
1221
+ },
1222
+ {
1223
+ "epoch": 2.1854559445940747,
1224
+ "grad_norm": 0.21097618341445923,
1225
+ "learning_rate": 6.91341716182545e-05,
1226
+ "loss": 0.0209,
1227
+ "step": 1420
1228
+ },
1229
+ {
1230
+ "epoch": 2.20084647941516,
1231
+ "grad_norm": 0.14064981043338776,
1232
+ "learning_rate": 6.863607839083507e-05,
1233
+ "loss": 0.0118,
1234
+ "step": 1430
1235
+ },
1236
+ {
1237
+ "epoch": 2.2162370142362446,
1238
+ "grad_norm": 0.30104926228523254,
1239
+ "learning_rate": 6.813582799336624e-05,
1240
+ "loss": 0.0193,
1241
+ "step": 1440
1242
+ },
1243
+ {
1244
+ "epoch": 2.23162754905733,
1245
+ "grad_norm": 0.12663201987743378,
1246
+ "learning_rate": 6.763347833101192e-05,
1247
+ "loss": 0.0118,
1248
+ "step": 1450
1249
+ },
1250
+ {
1251
+ "epoch": 2.23162754905733,
1252
+ "eval_loss": 0.037876494228839874,
1253
+ "eval_runtime": 205.7156,
1254
+ "eval_samples_per_second": 5.619,
1255
+ "eval_steps_per_second": 5.619,
1256
+ "step": 1450
1257
+ },
1258
+ {
1259
+ "epoch": 2.2470180838784146,
1260
+ "grad_norm": 0.30306276679039,
1261
+ "learning_rate": 6.712908755193094e-05,
1262
+ "loss": 0.0173,
1263
+ "step": 1460
1264
+ },
1265
+ {
1266
+ "epoch": 2.2624086186995,
1267
+ "grad_norm": 0.13030338287353516,
1268
+ "learning_rate": 6.662271404054621e-05,
1269
+ "loss": 0.0219,
1270
+ "step": 1470
1271
+ },
1272
+ {
1273
+ "epoch": 2.2777991535205846,
1274
+ "grad_norm": 0.33335408568382263,
1275
+ "learning_rate": 6.611441641078657e-05,
1276
+ "loss": 0.0199,
1277
+ "step": 1480
1278
+ },
1279
+ {
1280
+ "epoch": 2.29318968834167,
1281
+ "grad_norm": 0.1504828780889511,
1282
+ "learning_rate": 6.560425349930208e-05,
1283
+ "loss": 0.0218,
1284
+ "step": 1490
1285
+ },
1286
+ {
1287
+ "epoch": 2.308580223162755,
1288
+ "grad_norm": 0.7764264345169067,
1289
+ "learning_rate": 6.509228435865357e-05,
1290
+ "loss": 0.02,
1291
+ "step": 1500
1292
+ },
1293
+ {
1294
+ "epoch": 2.308580223162755,
1295
+ "eval_loss": 0.03489841893315315,
1296
+ "eval_runtime": 205.6949,
1297
+ "eval_samples_per_second": 5.62,
1298
+ "eval_steps_per_second": 5.62,
1299
+ "step": 1500
1300
+ },
1301
+ {
1302
+ "epoch": 2.32397075798384,
1303
+ "grad_norm": 0.15162287652492523,
1304
+ "learning_rate": 6.45785682504772e-05,
1305
+ "loss": 0.0218,
1306
+ "step": 1510
1307
+ },
1308
+ {
1309
+ "epoch": 2.339361292804925,
1310
+ "grad_norm": 0.14409463107585907,
1311
+ "learning_rate": 6.406316463862467e-05,
1312
+ "loss": 0.0202,
1313
+ "step": 1520
1314
+ },
1315
+ {
1316
+ "epoch": 2.3547518276260098,
1317
+ "grad_norm": 0.08051624149084091,
1318
+ "learning_rate": 6.35461331822803e-05,
1319
+ "loss": 0.0132,
1320
+ "step": 1530
1321
+ },
1322
+ {
1323
+ "epoch": 2.370142362447095,
1324
+ "grad_norm": 0.23142850399017334,
1325
+ "learning_rate": 6.302753372905515e-05,
1326
+ "loss": 0.02,
1327
+ "step": 1540
1328
+ },
1329
+ {
1330
+ "epoch": 2.38553289726818,
1331
+ "grad_norm": 0.41714704036712646,
1332
+ "learning_rate": 6.250742630805971e-05,
1333
+ "loss": 0.0162,
1334
+ "step": 1550
1335
+ },
1336
+ {
1337
+ "epoch": 2.38553289726818,
1338
+ "eval_loss": 0.03894202038645744,
1339
+ "eval_runtime": 205.7496,
1340
+ "eval_samples_per_second": 5.618,
1341
+ "eval_steps_per_second": 5.618,
1342
+ "step": 1550
1343
+ },
1344
+ {
1345
+ "epoch": 2.400923432089265,
1346
+ "grad_norm": 0.23085202276706696,
1347
+ "learning_rate": 6.198587112295526e-05,
1348
+ "loss": 0.0139,
1349
+ "step": 1560
1350
+ },
1351
+ {
1352
+ "epoch": 2.41631396691035,
1353
+ "grad_norm": 0.22396957874298096,
1354
+ "learning_rate": 6.14629285449852e-05,
1355
+ "loss": 0.0178,
1356
+ "step": 1570
1357
+ },
1358
+ {
1359
+ "epoch": 2.431704501731435,
1360
+ "grad_norm": 0.16986897587776184,
1361
+ "learning_rate": 6.093865910598688e-05,
1362
+ "loss": 0.0183,
1363
+ "step": 1580
1364
+ },
1365
+ {
1366
+ "epoch": 2.44709503655252,
1367
+ "grad_norm": 0.2747359573841095,
1368
+ "learning_rate": 6.0413123491385025e-05,
1369
+ "loss": 0.0164,
1370
+ "step": 1590
1371
+ },
1372
+ {
1373
+ "epoch": 2.4624855713736054,
1374
+ "grad_norm": 0.2951468527317047,
1375
+ "learning_rate": 5.988638253316713e-05,
1376
+ "loss": 0.0138,
1377
+ "step": 1600
1378
+ },
1379
+ {
1380
+ "epoch": 2.4624855713736054,
1381
+ "eval_loss": 0.036692582070827484,
1382
+ "eval_runtime": 205.3121,
1383
+ "eval_samples_per_second": 5.63,
1384
+ "eval_steps_per_second": 5.63,
1385
+ "step": 1600
1386
+ },
1387
+ {
1388
+ "epoch": 2.47787610619469,
1389
+ "grad_norm": 0.3755318522453308,
1390
+ "learning_rate": 5.935849720284206e-05,
1391
+ "loss": 0.0171,
1392
+ "step": 1610
1393
+ },
1394
+ {
1395
+ "epoch": 2.4932666410157753,
1396
+ "grad_norm": 0.189901202917099,
1397
+ "learning_rate": 5.8829528604382436e-05,
1398
+ "loss": 0.0189,
1399
+ "step": 1620
1400
+ },
1401
+ {
1402
+ "epoch": 2.50865717583686,
1403
+ "grad_norm": 0.2906784117221832,
1404
+ "learning_rate": 5.829953796715176e-05,
1405
+ "loss": 0.0154,
1406
+ "step": 1630
1407
+ },
1408
+ {
1409
+ "epoch": 2.5240477106579453,
1410
+ "grad_norm": 0.35252946615219116,
1411
+ "learning_rate": 5.7768586638816924e-05,
1412
+ "loss": 0.0226,
1413
+ "step": 1640
1414
+ },
1415
+ {
1416
+ "epoch": 2.5394382454790305,
1417
+ "grad_norm": 0.182037815451622,
1418
+ "learning_rate": 5.723673607824705e-05,
1419
+ "loss": 0.0193,
1420
+ "step": 1650
1421
+ },
1422
+ {
1423
+ "epoch": 2.5394382454790305,
1424
+ "eval_loss": 0.03480008244514465,
1425
+ "eval_runtime": 204.9736,
1426
+ "eval_samples_per_second": 5.64,
1427
+ "eval_steps_per_second": 5.64,
1428
+ "step": 1650
1429
+ },
1430
+ {
1431
+ "epoch": 2.5548287803001153,
1432
+ "grad_norm": 0.3194112479686737,
1433
+ "learning_rate": 5.670404784839953e-05,
1434
+ "loss": 0.0126,
1435
+ "step": 1660
1436
+ },
1437
+ {
1438
+ "epoch": 2.5702193151212005,
1439
+ "grad_norm": 0.3529907763004303,
1440
+ "learning_rate": 5.6170583609193984e-05,
1441
+ "loss": 0.0174,
1442
+ "step": 1670
1443
+ },
1444
+ {
1445
+ "epoch": 2.5856098499422853,
1446
+ "grad_norm": 0.4833955466747284,
1447
+ "learning_rate": 5.56364051103749e-05,
1448
+ "loss": 0.0181,
1449
+ "step": 1680
1450
+ },
1451
+ {
1452
+ "epoch": 2.6010003847633705,
1453
+ "grad_norm": 0.18235287070274353,
1454
+ "learning_rate": 5.5101574184364056e-05,
1455
+ "loss": 0.018,
1456
+ "step": 1690
1457
+ },
1458
+ {
1459
+ "epoch": 2.6163909195844557,
1460
+ "grad_norm": 0.45806336402893066,
1461
+ "learning_rate": 5.4566152739103116e-05,
1462
+ "loss": 0.0208,
1463
+ "step": 1700
1464
+ },
1465
+ {
1466
+ "epoch": 2.6163909195844557,
1467
+ "eval_loss": 0.03558473661541939,
1468
+ "eval_runtime": 205.2271,
1469
+ "eval_samples_per_second": 5.633,
1470
+ "eval_steps_per_second": 5.633,
1471
+ "step": 1700
1472
+ },
1473
+ {
1474
+ "epoch": 2.6317814544055405,
1475
+ "grad_norm": 0.4757392108440399,
1476
+ "learning_rate": 5.403020275088786e-05,
1477
+ "loss": 0.0169,
1478
+ "step": 1710
1479
+ },
1480
+ {
1481
+ "epoch": 2.6471719892266257,
1482
+ "grad_norm": 0.38991662859916687,
1483
+ "learning_rate": 5.349378625719408e-05,
1484
+ "loss": 0.0263,
1485
+ "step": 1720
1486
+ },
1487
+ {
1488
+ "epoch": 2.6625625240477104,
1489
+ "grad_norm": 0.5427097082138062,
1490
+ "learning_rate": 5.2956965349496743e-05,
1491
+ "loss": 0.0213,
1492
+ "step": 1730
1493
+ },
1494
+ {
1495
+ "epoch": 2.6779530588687956,
1496
+ "grad_norm": 0.16979289054870605,
1497
+ "learning_rate": 5.241980216608261e-05,
1498
+ "loss": 0.0132,
1499
+ "step": 1740
1500
+ },
1501
+ {
1502
+ "epoch": 2.693343593689881,
1503
+ "grad_norm": 0.12156710773706436,
1504
+ "learning_rate": 5.188235888485773e-05,
1505
+ "loss": 0.0228,
1506
+ "step": 1750
1507
+ },
1508
+ {
1509
+ "epoch": 2.693343593689881,
1510
+ "eval_loss": 0.03264903649687767,
1511
+ "eval_runtime": 205.233,
1512
+ "eval_samples_per_second": 5.633,
1513
+ "eval_steps_per_second": 5.633,
1514
+ "step": 1750
1515
+ },
1516
+ {
1517
+ "epoch": 2.7087341285109656,
1518
+ "grad_norm": 0.24176715314388275,
1519
+ "learning_rate": 5.13446977161501e-05,
1520
+ "loss": 0.0148,
1521
+ "step": 1760
1522
+ },
1523
+ {
1524
+ "epoch": 2.724124663332051,
1525
+ "grad_norm": 0.3845118284225464,
1526
+ "learning_rate": 5.0806880895508766e-05,
1527
+ "loss": 0.0191,
1528
+ "step": 1770
1529
+ },
1530
+ {
1531
+ "epoch": 2.7395151981531356,
1532
+ "grad_norm": 0.4394952952861786,
1533
+ "learning_rate": 5.026897067649976e-05,
1534
+ "loss": 0.0231,
1535
+ "step": 1780
1536
+ },
1537
+ {
1538
+ "epoch": 2.754905732974221,
1539
+ "grad_norm": 0.1571224182844162,
1540
+ "learning_rate": 4.973102932350026e-05,
1541
+ "loss": 0.0167,
1542
+ "step": 1790
1543
+ },
1544
+ {
1545
+ "epoch": 2.770296267795306,
1546
+ "grad_norm": 0.33347785472869873,
1547
+ "learning_rate": 4.9193119104491245e-05,
1548
+ "loss": 0.0195,
1549
+ "step": 1800
1550
+ },
1551
+ {
1552
+ "epoch": 2.770296267795306,
1553
+ "eval_loss": 0.03232903033494949,
1554
+ "eval_runtime": 205.4246,
1555
+ "eval_samples_per_second": 5.627,
1556
+ "eval_steps_per_second": 5.627,
1557
+ "step": 1800
1558
+ },
1559
+ {
1560
+ "epoch": 2.785686802616391,
1561
+ "grad_norm": 0.3520554304122925,
1562
+ "learning_rate": 4.86553022838499e-05,
1563
+ "loss": 0.0178,
1564
+ "step": 1810
1565
+ },
1566
+ {
1567
+ "epoch": 2.801077337437476,
1568
+ "grad_norm": 0.361346572637558,
1569
+ "learning_rate": 4.8117641115142285e-05,
1570
+ "loss": 0.0222,
1571
+ "step": 1820
1572
+ },
1573
+ {
1574
+ "epoch": 2.8164678722585608,
1575
+ "grad_norm": 0.9539710283279419,
1576
+ "learning_rate": 4.758019783391741e-05,
1577
+ "loss": 0.0209,
1578
+ "step": 1830
1579
+ },
1580
+ {
1581
+ "epoch": 2.831858407079646,
1582
+ "grad_norm": 0.2285640388727188,
1583
+ "learning_rate": 4.704303465050327e-05,
1584
+ "loss": 0.0188,
1585
+ "step": 1840
1586
+ },
1587
+ {
1588
+ "epoch": 2.847248941900731,
1589
+ "grad_norm": 0.30473828315734863,
1590
+ "learning_rate": 4.6506213742805924e-05,
1591
+ "loss": 0.0219,
1592
+ "step": 1850
1593
+ },
1594
+ {
1595
+ "epoch": 2.847248941900731,
1596
+ "eval_loss": 0.03171970695257187,
1597
+ "eval_runtime": 205.2034,
1598
+ "eval_samples_per_second": 5.633,
1599
+ "eval_steps_per_second": 5.633,
1600
+ "step": 1850
1601
+ },
1602
+ {
1603
+ "epoch": 2.862639476721816,
1604
+ "grad_norm": 0.30735838413238525,
1605
+ "learning_rate": 4.5969797249112146e-05,
1606
+ "loss": 0.014,
1607
+ "step": 1860
1608
+ },
1609
+ {
1610
+ "epoch": 2.878030011542901,
1611
+ "grad_norm": 0.31664836406707764,
1612
+ "learning_rate": 4.54338472608969e-05,
1613
+ "loss": 0.0245,
1614
+ "step": 1870
1615
+ },
1616
+ {
1617
+ "epoch": 2.893420546363986,
1618
+ "grad_norm": 0.2992251217365265,
1619
+ "learning_rate": 4.489842581563597e-05,
1620
+ "loss": 0.0134,
1621
+ "step": 1880
1622
+ },
1623
+ {
1624
+ "epoch": 2.908811081185071,
1625
+ "grad_norm": 0.16290029883384705,
1626
+ "learning_rate": 4.436359488962511e-05,
1627
+ "loss": 0.0155,
1628
+ "step": 1890
1629
+ },
1630
+ {
1631
+ "epoch": 2.9242016160061564,
1632
+ "grad_norm": 0.23914092779159546,
1633
+ "learning_rate": 4.382941639080602e-05,
1634
+ "loss": 0.0169,
1635
+ "step": 1900
1636
+ },
1637
+ {
1638
+ "epoch": 2.9242016160061564,
1639
+ "eval_loss": 0.032893672585487366,
1640
+ "eval_runtime": 205.2876,
1641
+ "eval_samples_per_second": 5.631,
1642
+ "eval_steps_per_second": 5.631,
1643
+ "step": 1900
1644
+ },
1645
+ {
1646
+ "epoch": 2.939592150827241,
1647
+ "grad_norm": 0.30798497796058655,
1648
+ "learning_rate": 4.3295952151600475e-05,
1649
+ "loss": 0.0212,
1650
+ "step": 1910
1651
+ },
1652
+ {
1653
+ "epoch": 2.9549826856483263,
1654
+ "grad_norm": 0.3921068012714386,
1655
+ "learning_rate": 4.276326392175296e-05,
1656
+ "loss": 0.0205,
1657
+ "step": 1920
1658
+ },
1659
+ {
1660
+ "epoch": 2.970373220469411,
1661
+ "grad_norm": 0.10858126729726791,
1662
+ "learning_rate": 4.2231413361183095e-05,
1663
+ "loss": 0.0139,
1664
+ "step": 1930
1665
+ },
1666
+ {
1667
+ "epoch": 2.9857637552904963,
1668
+ "grad_norm": 0.3226618766784668,
1669
+ "learning_rate": 4.1700462032848244e-05,
1670
+ "loss": 0.0137,
1671
+ "step": 1940
1672
+ },
1673
+ {
1674
+ "epoch": 3.0011542901115815,
1675
+ "grad_norm": 0.16719426214694977,
1676
+ "learning_rate": 4.117047139561758e-05,
1677
+ "loss": 0.0235,
1678
+ "step": 1950
1679
+ },
1680
+ {
1681
+ "epoch": 3.0011542901115815,
1682
+ "eval_loss": 0.03400113061070442,
1683
+ "eval_runtime": 205.1805,
1684
+ "eval_samples_per_second": 5.634,
1685
+ "eval_steps_per_second": 5.634,
1686
+ "step": 1950
1687
+ },
1688
+ {
1689
+ "epoch": 3.0165448249326663,
1690
+ "grad_norm": 0.19277110695838928,
1691
+ "learning_rate": 4.0641502797157966e-05,
1692
+ "loss": 0.0062,
1693
+ "step": 1960
1694
+ },
1695
+ {
1696
+ "epoch": 3.0319353597537515,
1697
+ "grad_norm": 0.04823404923081398,
1698
+ "learning_rate": 4.011361746683288e-05,
1699
+ "loss": 0.0099,
1700
+ "step": 1970
1701
+ },
1702
+ {
1703
+ "epoch": 3.0473258945748363,
1704
+ "grad_norm": 0.14269518852233887,
1705
+ "learning_rate": 3.958687650861499e-05,
1706
+ "loss": 0.0085,
1707
+ "step": 1980
1708
+ },
1709
+ {
1710
+ "epoch": 3.0627164293959215,
1711
+ "grad_norm": 0.2702989876270294,
1712
+ "learning_rate": 3.906134089401313e-05,
1713
+ "loss": 0.0062,
1714
+ "step": 1990
1715
+ },
1716
+ {
1717
+ "epoch": 3.0781069642170067,
1718
+ "grad_norm": 0.1252523958683014,
1719
+ "learning_rate": 3.853707145501482e-05,
1720
+ "loss": 0.0092,
1721
+ "step": 2000
1722
+ },
1723
+ {
1724
+ "epoch": 3.0781069642170067,
1725
+ "eval_loss": 0.03769548237323761,
1726
+ "eval_runtime": 205.727,
1727
+ "eval_samples_per_second": 5.619,
1728
+ "eval_steps_per_second": 5.619,
1729
+ "step": 2000
1730
+ },
1731
+ {
1732
+ "epoch": 3.0934974990380915,
1733
+ "grad_norm": 0.4280714988708496,
1734
+ "learning_rate": 3.801412887704475e-05,
1735
+ "loss": 0.0052,
1736
+ "step": 2010
1737
+ },
1738
+ {
1739
+ "epoch": 3.1088880338591767,
1740
+ "grad_norm": 0.038806311786174774,
1741
+ "learning_rate": 3.749257369194029e-05,
1742
+ "loss": 0.0093,
1743
+ "step": 2020
1744
+ },
1745
+ {
1746
+ "epoch": 3.1242785686802614,
1747
+ "grad_norm": 0.10537301003932953,
1748
+ "learning_rate": 3.697246627094487e-05,
1749
+ "loss": 0.01,
1750
+ "step": 2030
1751
+ },
1752
+ {
1753
+ "epoch": 3.1396691035013466,
1754
+ "grad_norm": 0.15586970746517181,
1755
+ "learning_rate": 3.6453866817719726e-05,
1756
+ "loss": 0.0095,
1757
+ "step": 2040
1758
+ },
1759
+ {
1760
+ "epoch": 3.155059638322432,
1761
+ "grad_norm": 0.6365472674369812,
1762
+ "learning_rate": 3.593683536137533e-05,
1763
+ "loss": 0.0107,
1764
+ "step": 2050
1765
+ },
1766
+ {
1767
+ "epoch": 3.155059638322432,
1768
+ "eval_loss": 0.04130587726831436,
1769
+ "eval_runtime": 205.1703,
1770
+ "eval_samples_per_second": 5.634,
1771
+ "eval_steps_per_second": 5.634,
1772
+ "step": 2050
1773
+ },
1774
+ {
1775
+ "epoch": 3.1704501731435166,
1776
+ "grad_norm": 0.06414748728275299,
1777
+ "learning_rate": 3.542143174952282e-05,
1778
+ "loss": 0.0075,
1779
+ "step": 2060
1780
+ },
1781
+ {
1782
+ "epoch": 3.185840707964602,
1783
+ "grad_norm": 0.3724590539932251,
1784
+ "learning_rate": 3.490771564134643e-05,
1785
+ "loss": 0.0076,
1786
+ "step": 2070
1787
+ },
1788
+ {
1789
+ "epoch": 3.2012312427856866,
1790
+ "grad_norm": 0.1347227543592453,
1791
+ "learning_rate": 3.4395746500697925e-05,
1792
+ "loss": 0.0104,
1793
+ "step": 2080
1794
+ },
1795
+ {
1796
+ "epoch": 3.216621777606772,
1797
+ "grad_norm": 0.4249352216720581,
1798
+ "learning_rate": 3.388558358921343e-05,
1799
+ "loss": 0.0081,
1800
+ "step": 2090
1801
+ },
1802
+ {
1803
+ "epoch": 3.232012312427857,
1804
+ "grad_norm": 0.2213268131017685,
1805
+ "learning_rate": 3.337728595945378e-05,
1806
+ "loss": 0.0093,
1807
+ "step": 2100
1808
+ },
1809
+ {
1810
+ "epoch": 3.232012312427857,
1811
+ "eval_loss": 0.039757389575242996,
1812
+ "eval_runtime": 205.1175,
1813
+ "eval_samples_per_second": 5.636,
1814
+ "eval_steps_per_second": 5.636,
1815
+ "step": 2100
1816
+ },
1817
+ {
1818
+ "epoch": 3.247402847248942,
1819
+ "grad_norm": 0.07781395316123962,
1820
+ "learning_rate": 3.287091244806907e-05,
1821
+ "loss": 0.0093,
1822
+ "step": 2110
1823
+ },
1824
+ {
1825
+ "epoch": 3.262793382070027,
1826
+ "grad_norm": 0.3686499297618866,
1827
+ "learning_rate": 3.2366521668988106e-05,
1828
+ "loss": 0.0098,
1829
+ "step": 2120
1830
+ },
1831
+ {
1832
+ "epoch": 3.2781839168911118,
1833
+ "grad_norm": 0.2970055341720581,
1834
+ "learning_rate": 3.186417200663379e-05,
1835
+ "loss": 0.0077,
1836
+ "step": 2130
1837
+ },
1838
+ {
1839
+ "epoch": 3.293574451712197,
1840
+ "grad_norm": 0.16210752725601196,
1841
+ "learning_rate": 3.136392160916495e-05,
1842
+ "loss": 0.0067,
1843
+ "step": 2140
1844
+ },
1845
+ {
1846
+ "epoch": 3.308964986533282,
1847
+ "grad_norm": 0.6002753376960754,
1848
+ "learning_rate": 3.086582838174551e-05,
1849
+ "loss": 0.0076,
1850
+ "step": 2150
1851
+ },
1852
+ {
1853
+ "epoch": 3.308964986533282,
1854
+ "eval_loss": 0.04058561474084854,
1855
+ "eval_runtime": 204.9772,
1856
+ "eval_samples_per_second": 5.64,
1857
+ "eval_steps_per_second": 5.64,
1858
+ "step": 2150
1859
+ },
1860
+ {
1861
+ "epoch": 3.324355521354367,
1862
+ "grad_norm": 0.19426089525222778,
1863
+ "learning_rate": 3.036994997984194e-05,
1864
+ "loss": 0.0076,
1865
+ "step": 2160
1866
+ },
1867
+ {
1868
+ "epoch": 3.339746056175452,
1869
+ "grad_norm": 0.1623201072216034,
1870
+ "learning_rate": 2.9876343802549357e-05,
1871
+ "loss": 0.0086,
1872
+ "step": 2170
1873
+ },
1874
+ {
1875
+ "epoch": 3.355136590996537,
1876
+ "grad_norm": 0.24628621339797974,
1877
+ "learning_rate": 2.938506698594755e-05,
1878
+ "loss": 0.0102,
1879
+ "step": 2180
1880
+ },
1881
+ {
1882
+ "epoch": 3.370527125817622,
1883
+ "grad_norm": 0.22403481602668762,
1884
+ "learning_rate": 2.8896176396487334e-05,
1885
+ "loss": 0.0057,
1886
+ "step": 2190
1887
+ },
1888
+ {
1889
+ "epoch": 3.3859176606387074,
1890
+ "grad_norm": 0.13181528449058533,
1891
+ "learning_rate": 2.8409728624408067e-05,
1892
+ "loss": 0.0115,
1893
+ "step": 2200
1894
+ },
1895
+ {
1896
+ "epoch": 3.3859176606387074,
1897
+ "eval_loss": 0.03798670321702957,
1898
+ "eval_runtime": 204.6984,
1899
+ "eval_samples_per_second": 5.647,
1900
+ "eval_steps_per_second": 5.647,
1901
+ "step": 2200
1902
+ },
1903
+ {
1904
+ "epoch": 3.401308195459792,
1905
+ "grad_norm": 0.03959172964096069,
1906
+ "learning_rate": 2.7925779977187215e-05,
1907
+ "loss": 0.0063,
1908
+ "step": 2210
1909
+ },
1910
+ {
1911
+ "epoch": 3.4166987302808773,
1912
+ "grad_norm": 0.22117912769317627,
1913
+ "learning_rate": 2.7444386473022686e-05,
1914
+ "loss": 0.0074,
1915
+ "step": 2220
1916
+ },
1917
+ {
1918
+ "epoch": 3.432089265101962,
1919
+ "grad_norm": 0.27058205008506775,
1920
+ "learning_rate": 2.696560383434854e-05,
1921
+ "loss": 0.0117,
1922
+ "step": 2230
1923
+ },
1924
+ {
1925
+ "epoch": 3.4474797999230473,
1926
+ "grad_norm": 0.19432082772254944,
1927
+ "learning_rate": 2.6489487481384988e-05,
1928
+ "loss": 0.0116,
1929
+ "step": 2240
1930
+ },
1931
+ {
1932
+ "epoch": 3.4628703347441325,
1933
+ "grad_norm": 0.12404157966375351,
1934
+ "learning_rate": 2.601609252572339e-05,
1935
+ "loss": 0.0065,
1936
+ "step": 2250
1937
+ },
1938
+ {
1939
+ "epoch": 3.4628703347441325,
1940
+ "eval_loss": 0.037050120532512665,
1941
+ "eval_runtime": 205.0649,
1942
+ "eval_samples_per_second": 5.637,
1943
+ "eval_steps_per_second": 5.637,
1944
+ "step": 2250
1945
+ },
1946
+ {
1947
+ "epoch": 3.4782608695652173,
1948
+ "grad_norm": 0.07123508304357529,
1949
+ "learning_rate": 2.554547376394692e-05,
1950
+ "loss": 0.007,
1951
+ "step": 2260
1952
+ },
1953
+ {
1954
+ "epoch": 3.4936514043863025,
1955
+ "grad_norm": 0.20804937183856964,
1956
+ "learning_rate": 2.5077685671287808e-05,
1957
+ "loss": 0.0048,
1958
+ "step": 2270
1959
+ },
1960
+ {
1961
+ "epoch": 3.5090419392073873,
1962
+ "grad_norm": 0.1703631430864334,
1963
+ "learning_rate": 2.4612782395321593e-05,
1964
+ "loss": 0.0085,
1965
+ "step": 2280
1966
+ },
1967
+ {
1968
+ "epoch": 3.5244324740284725,
1969
+ "grad_norm": 0.23363769054412842,
1970
+ "learning_rate": 2.4150817749699496e-05,
1971
+ "loss": 0.006,
1972
+ "step": 2290
1973
+ },
1974
+ {
1975
+ "epoch": 3.5398230088495577,
1976
+ "grad_norm": 0.08716625720262527,
1977
+ "learning_rate": 2.3691845207919357e-05,
1978
+ "loss": 0.0115,
1979
+ "step": 2300
1980
+ },
1981
+ {
1982
+ "epoch": 3.5398230088495577,
1983
+ "eval_loss": 0.03938056528568268,
1984
+ "eval_runtime": 205.03,
1985
+ "eval_samples_per_second": 5.638,
1986
+ "eval_steps_per_second": 5.638,
1987
+ "step": 2300
1988
+ },
1989
+ {
1990
+ "epoch": 3.5552135436706425,
1991
+ "grad_norm": 0.05090276524424553,
1992
+ "learning_rate": 2.3235917897135934e-05,
1993
+ "loss": 0.0083,
1994
+ "step": 2310
1995
+ },
1996
+ {
1997
+ "epoch": 3.5706040784917277,
1998
+ "grad_norm": 0.42657580971717834,
1999
+ "learning_rate": 2.2783088592011303e-05,
2000
+ "loss": 0.0088,
2001
+ "step": 2320
2002
+ },
2003
+ {
2004
+ "epoch": 3.5859946133128124,
2005
+ "grad_norm": 0.2217244654893875,
2006
+ "learning_rate": 2.233340970860608e-05,
2007
+ "loss": 0.0075,
2008
+ "step": 2330
2009
+ },
2010
+ {
2011
+ "epoch": 3.6013851481338977,
2012
+ "grad_norm": 0.6814695596694946,
2013
+ "learning_rate": 2.1886933298312125e-05,
2014
+ "loss": 0.0131,
2015
+ "step": 2340
2016
+ },
2017
+ {
2018
+ "epoch": 3.616775682954983,
2019
+ "grad_norm": 0.19453896582126617,
2020
+ "learning_rate": 2.1443711041827503e-05,
2021
+ "loss": 0.006,
2022
+ "step": 2350
2023
+ },
2024
+ {
2025
+ "epoch": 3.616775682954983,
2026
+ "eval_loss": 0.03990740329027176,
2027
+ "eval_runtime": 204.8245,
2028
+ "eval_samples_per_second": 5.644,
2029
+ "eval_steps_per_second": 5.644,
2030
+ "step": 2350
2031
+ },
2032
+ {
2033
+ "epoch": 3.6321662177760676,
2034
+ "grad_norm": 0.3497713804244995,
2035
+ "learning_rate": 2.1003794243174252e-05,
2036
+ "loss": 0.015,
2037
+ "step": 2360
2038
+ },
2039
+ {
2040
+ "epoch": 3.647556752597153,
2041
+ "grad_norm": 0.23189005255699158,
2042
+ "learning_rate": 2.0567233823759886e-05,
2043
+ "loss": 0.0087,
2044
+ "step": 2370
2045
+ },
2046
+ {
2047
+ "epoch": 3.6629472874182376,
2048
+ "grad_norm": 0.22898951172828674,
2049
+ "learning_rate": 2.0134080316483113e-05,
2050
+ "loss": 0.0101,
2051
+ "step": 2380
2052
+ },
2053
+ {
2054
+ "epoch": 3.678337822239323,
2055
+ "grad_norm": 0.2536865472793579,
2056
+ "learning_rate": 1.970438385988452e-05,
2057
+ "loss": 0.01,
2058
+ "step": 2390
2059
+ },
2060
+ {
2061
+ "epoch": 3.693728357060408,
2062
+ "grad_norm": 0.2650982141494751,
2063
+ "learning_rate": 1.927819419234292e-05,
2064
+ "loss": 0.0119,
2065
+ "step": 2400
2066
+ },
2067
+ {
2068
+ "epoch": 3.693728357060408,
2069
+ "eval_loss": 0.036597561091184616,
2070
+ "eval_runtime": 204.8254,
2071
+ "eval_samples_per_second": 5.644,
2072
+ "eval_steps_per_second": 5.644,
2073
+ "step": 2400
2074
+ },
2075
+ {
2076
+ "epoch": 3.709118891881493,
2077
+ "grad_norm": 0.11519203335046768,
2078
+ "learning_rate": 1.885556064631801e-05,
2079
+ "loss": 0.0082,
2080
+ "step": 2410
2081
+ },
2082
+ {
2083
+ "epoch": 3.724509426702578,
2084
+ "grad_norm": 0.045235008001327515,
2085
+ "learning_rate": 1.843653214264003e-05,
2086
+ "loss": 0.0059,
2087
+ "step": 2420
2088
+ },
2089
+ {
2090
+ "epoch": 3.7398999615236628,
2091
+ "grad_norm": 0.6607848405838013,
2092
+ "learning_rate": 1.8021157184847087e-05,
2093
+ "loss": 0.0095,
2094
+ "step": 2430
2095
+ },
2096
+ {
2097
+ "epoch": 3.755290496344748,
2098
+ "grad_norm": 0.12694579362869263,
2099
+ "learning_rate": 1.7609483853570668e-05,
2100
+ "loss": 0.006,
2101
+ "step": 2440
2102
+ },
2103
+ {
2104
+ "epoch": 3.770681031165833,
2105
+ "grad_norm": 0.031129347160458565,
2106
+ "learning_rate": 1.720155980097034e-05,
2107
+ "loss": 0.0068,
2108
+ "step": 2450
2109
+ },
2110
+ {
2111
+ "epoch": 3.770681031165833,
2112
+ "eval_loss": 0.038730423897504807,
2113
+ "eval_runtime": 204.9684,
2114
+ "eval_samples_per_second": 5.64,
2115
+ "eval_steps_per_second": 5.64,
2116
+ "step": 2450
2117
+ },
2118
+ {
2119
+ "epoch": 3.786071565986918,
2120
+ "grad_norm": 0.34668412804603577,
2121
+ "learning_rate": 1.6797432245217736e-05,
2122
+ "loss": 0.0099,
2123
+ "step": 2460
2124
+ },
2125
+ {
2126
+ "epoch": 3.801462100808003,
2127
+ "grad_norm": 0.4107019901275635,
2128
+ "learning_rate": 1.6397147965031072e-05,
2129
+ "loss": 0.0071,
2130
+ "step": 2470
2131
+ },
2132
+ {
2133
+ "epoch": 3.816852635629088,
2134
+ "grad_norm": 0.09503304958343506,
2135
+ "learning_rate": 1.600075329426033e-05,
2136
+ "loss": 0.0116,
2137
+ "step": 2480
2138
+ },
2139
+ {
2140
+ "epoch": 3.832243170450173,
2141
+ "grad_norm": 0.11153826117515564,
2142
+ "learning_rate": 1.560829411652403e-05,
2143
+ "loss": 0.0086,
2144
+ "step": 2490
2145
+ },
2146
+ {
2147
+ "epoch": 3.8476337052712584,
2148
+ "grad_norm": 0.20469005405902863,
2149
+ "learning_rate": 1.521981585989809e-05,
2150
+ "loss": 0.0079,
2151
+ "step": 2500
2152
+ },
2153
+ {
2154
+ "epoch": 3.8476337052712584,
2155
+ "eval_loss": 0.0393652580678463,
2156
+ "eval_runtime": 204.6532,
2157
+ "eval_samples_per_second": 5.649,
2158
+ "eval_steps_per_second": 5.649,
2159
+ "step": 2500
2160
+ },
2161
+ {
2162
+ "epoch": 3.863024240092343,
2163
+ "grad_norm": 0.023741349577903748,
2164
+ "learning_rate": 1.4835363491657412e-05,
2165
+ "loss": 0.0097,
2166
+ "step": 2510
2167
+ },
2168
+ {
2169
+ "epoch": 3.8784147749134283,
2170
+ "grad_norm": 0.2665390074253082,
2171
+ "learning_rate": 1.4454981513070791e-05,
2172
+ "loss": 0.0051,
2173
+ "step": 2520
2174
+ },
2175
+ {
2176
+ "epoch": 3.893805309734513,
2177
+ "grad_norm": 0.0571470707654953,
2178
+ "learning_rate": 1.4078713954249873e-05,
2179
+ "loss": 0.0065,
2180
+ "step": 2530
2181
+ },
2182
+ {
2183
+ "epoch": 3.9091958445555983,
2184
+ "grad_norm": 0.14969134330749512,
2185
+ "learning_rate": 1.3706604369052434e-05,
2186
+ "loss": 0.0039,
2187
+ "step": 2540
2188
+ },
2189
+ {
2190
+ "epoch": 3.9245863793766835,
2191
+ "grad_norm": 0.3763895034790039,
2192
+ "learning_rate": 1.3338695830041047e-05,
2193
+ "loss": 0.0092,
2194
+ "step": 2550
2195
+ },
2196
+ {
2197
+ "epoch": 3.9245863793766835,
2198
+ "eval_loss": 0.04046928137540817,
2199
+ "eval_runtime": 204.8731,
2200
+ "eval_samples_per_second": 5.643,
2201
+ "eval_steps_per_second": 5.643,
2202
+ "step": 2550
2203
+ },
2204
+ {
2205
+ "epoch": 3.9399769141977683,
2206
+ "grad_norm": 1.1178613901138306,
2207
+ "learning_rate": 1.2975030923497262e-05,
2208
+ "loss": 0.0088,
2209
+ "step": 2560
2210
+ },
2211
+ {
2212
+ "epoch": 3.9553674490188535,
2213
+ "grad_norm": 0.28649458289146423,
2214
+ "learning_rate": 1.2615651744492151e-05,
2215
+ "loss": 0.0061,
2216
+ "step": 2570
2217
+ },
2218
+ {
2219
+ "epoch": 3.9707579838399383,
2220
+ "grad_norm": 0.018256502225995064,
2221
+ "learning_rate": 1.2260599892013719e-05,
2222
+ "loss": 0.0118,
2223
+ "step": 2580
2224
+ },
2225
+ {
2226
+ "epoch": 3.9861485186610235,
2227
+ "grad_norm": 0.2700015604496002,
2228
+ "learning_rate": 1.1909916464151715e-05,
2229
+ "loss": 0.0081,
2230
+ "step": 2590
2231
+ },
2232
+ {
2233
+ "epoch": 4.001539053482109,
2234
+ "grad_norm": 0.03348098695278168,
2235
+ "learning_rate": 1.1563642053340406e-05,
2236
+ "loss": 0.0088,
2237
+ "step": 2600
2238
+ },
2239
+ {
2240
+ "epoch": 4.001539053482109,
2241
+ "eval_loss": 0.039251428097486496,
2242
+ "eval_runtime": 204.8037,
2243
+ "eval_samples_per_second": 5.644,
2244
+ "eval_steps_per_second": 5.644,
2245
+ "step": 2600
2246
+ },
2247
+ {
2248
+ "epoch": 4.016929588303194,
2249
+ "grad_norm": 0.0350678451359272,
2250
+ "learning_rate": 1.1221816741659964e-05,
2251
+ "loss": 0.0036,
2252
+ "step": 2610
2253
+ },
2254
+ {
2255
+ "epoch": 4.032320123124278,
2256
+ "grad_norm": 0.1188267171382904,
2257
+ "learning_rate": 1.0884480096196803e-05,
2258
+ "loss": 0.0023,
2259
+ "step": 2620
2260
+ },
2261
+ {
2262
+ "epoch": 4.047710657945363,
2263
+ "grad_norm": 0.13259093463420868,
2264
+ "learning_rate": 1.0551671164463666e-05,
2265
+ "loss": 0.0024,
2266
+ "step": 2630
2267
+ },
2268
+ {
2269
+ "epoch": 4.063101192766449,
2270
+ "grad_norm": 0.016152262687683105,
2271
+ "learning_rate": 1.0223428469879736e-05,
2272
+ "loss": 0.0058,
2273
+ "step": 2640
2274
+ },
2275
+ {
2276
+ "epoch": 4.078491727587534,
2277
+ "grad_norm": 0.03424251452088356,
2278
+ "learning_rate": 9.899790007311455e-06,
2279
+ "loss": 0.0017,
2280
+ "step": 2650
2281
+ },
2282
+ {
2283
+ "epoch": 4.078491727587534,
2284
+ "eval_loss": 0.0415111780166626,
2285
+ "eval_runtime": 203.6968,
2286
+ "eval_samples_per_second": 5.675,
2287
+ "eval_steps_per_second": 5.675,
2288
+ "step": 2650
2289
+ },
2290
+ {
2291
+ "epoch": 4.093882262408619,
2292
+ "grad_norm": 0.17463412880897522,
2293
+ "learning_rate": 9.580793238674573e-06,
2294
+ "loss": 0.0056,
2295
+ "step": 2660
2296
+ },
2297
+ {
2298
+ "epoch": 4.109272797229703,
2299
+ "grad_norm": 0.07210592180490494,
2300
+ "learning_rate": 9.266475088597781e-06,
2301
+ "loss": 0.0029,
2302
+ "step": 2670
2303
+ },
2304
+ {
2305
+ "epoch": 4.124663332050789,
2306
+ "grad_norm": 0.0655309185385704,
2307
+ "learning_rate": 8.956871940148681e-06,
2308
+ "loss": 0.0028,
2309
+ "step": 2680
2310
+ },
2311
+ {
2312
+ "epoch": 4.140053866871874,
2313
+ "grad_norm": 0.013929404318332672,
2314
+ "learning_rate": 8.65201963062225e-06,
2315
+ "loss": 0.006,
2316
+ "step": 2690
2317
+ },
2318
+ {
2319
+ "epoch": 4.155444401692959,
2320
+ "grad_norm": 0.06032650172710419,
2321
+ "learning_rate": 8.351953447392674e-06,
2322
+ "loss": 0.0076,
2323
+ "step": 2700
2324
+ },
2325
+ {
2326
+ "epoch": 4.155444401692959,
2327
+ "eval_loss": 0.04455247521400452,
2328
+ "eval_runtime": 204.5549,
2329
+ "eval_samples_per_second": 5.651,
2330
+ "eval_steps_per_second": 5.651,
2331
+ "step": 2700
2332
+ },
2333
+ {
2334
+ "epoch": 4.170834936514044,
2335
+ "grad_norm": 0.09175076335668564,
2336
+ "learning_rate": 8.056708123828738e-06,
2337
+ "loss": 0.0046,
2338
+ "step": 2710
2339
+ },
2340
+ {
2341
+ "epoch": 4.186225471335129,
2342
+ "grad_norm": 0.0822143703699112,
2343
+ "learning_rate": 7.76631783527334e-06,
2344
+ "loss": 0.0087,
2345
+ "step": 2720
2346
+ },
2347
+ {
2348
+ "epoch": 4.201616006156214,
2349
+ "grad_norm": 0.038291268050670624,
2350
+ "learning_rate": 7.4808161950876145e-06,
2351
+ "loss": 0.0023,
2352
+ "step": 2730
2353
+ },
2354
+ {
2355
+ "epoch": 4.217006540977299,
2356
+ "grad_norm": 0.05717266723513603,
2357
+ "learning_rate": 7.200236250760111e-06,
2358
+ "loss": 0.0039,
2359
+ "step": 2740
2360
+ },
2361
+ {
2362
+ "epoch": 4.232397075798384,
2363
+ "grad_norm": 0.03294439613819122,
2364
+ "learning_rate": 6.924610480081478e-06,
2365
+ "loss": 0.0017,
2366
+ "step": 2750
2367
+ },
2368
+ {
2369
+ "epoch": 4.232397075798384,
2370
+ "eval_loss": 0.04526090621948242,
2371
+ "eval_runtime": 204.6019,
2372
+ "eval_samples_per_second": 5.65,
2373
+ "eval_steps_per_second": 5.65,
2374
+ "step": 2750
2375
+ },
2376
+ {
2377
+ "epoch": 4.247787610619469,
2378
+ "grad_norm": 0.05905228480696678,
2379
+ "learning_rate": 6.6539707873850774e-06,
2380
+ "loss": 0.0018,
2381
+ "step": 2760
2382
+ },
2383
+ {
2384
+ "epoch": 4.263178145440554,
2385
+ "grad_norm": 0.10082878172397614,
2386
+ "learning_rate": 6.3883484998539525e-06,
2387
+ "loss": 0.0026,
2388
+ "step": 2770
2389
+ },
2390
+ {
2391
+ "epoch": 4.278568680261639,
2392
+ "grad_norm": 0.12022367864847183,
2393
+ "learning_rate": 6.127774363894667e-06,
2394
+ "loss": 0.0028,
2395
+ "step": 2780
2396
+ },
2397
+ {
2398
+ "epoch": 4.293959215082724,
2399
+ "grad_norm": 0.021185602992773056,
2400
+ "learning_rate": 5.872278541578352e-06,
2401
+ "loss": 0.0037,
2402
+ "step": 2790
2403
+ },
2404
+ {
2405
+ "epoch": 4.309349749903809,
2406
+ "grad_norm": 0.07566625624895096,
2407
+ "learning_rate": 5.6218906071493275e-06,
2408
+ "loss": 0.0027,
2409
+ "step": 2800
2410
+ },
2411
+ {
2412
+ "epoch": 4.309349749903809,
2413
+ "eval_loss": 0.04690178483724594,
2414
+ "eval_runtime": 177.4562,
2415
+ "eval_samples_per_second": 6.514,
2416
+ "eval_steps_per_second": 6.514,
2417
+ "step": 2800
2418
+ },
2419
+ {
2420
+ "epoch": 4.324740284724895,
2421
+ "grad_norm": 0.040234968066215515,
2422
+ "learning_rate": 5.376639543601858e-06,
2423
+ "loss": 0.0026,
2424
+ "step": 2810
2425
+ },
2426
+ {
2427
+ "epoch": 4.340130819545979,
2428
+ "grad_norm": 0.021735873073339462,
2429
+ "learning_rate": 5.136553739325256e-06,
2430
+ "loss": 0.0017,
2431
+ "step": 2820
2432
+ },
2433
+ {
2434
+ "epoch": 4.355521354367064,
2435
+ "grad_norm": 0.04729858413338661,
2436
+ "learning_rate": 4.901660984817908e-06,
2437
+ "loss": 0.0022,
2438
+ "step": 2830
2439
+ },
2440
+ {
2441
+ "epoch": 4.370911889188149,
2442
+ "grad_norm": 0.015267541632056236,
2443
+ "learning_rate": 4.671988469470434e-06,
2444
+ "loss": 0.0028,
2445
+ "step": 2840
2446
+ },
2447
+ {
2448
+ "epoch": 4.3863024240092345,
2449
+ "grad_norm": 0.02810192108154297,
2450
+ "learning_rate": 4.447562778418435e-06,
2451
+ "loss": 0.003,
2452
+ "step": 2850
2453
+ },
2454
+ {
2455
+ "epoch": 4.3863024240092345,
2456
+ "eval_loss": 0.04846663400530815,
2457
+ "eval_runtime": 203.6935,
2458
+ "eval_samples_per_second": 5.675,
2459
+ "eval_steps_per_second": 5.675,
2460
+ "step": 2850
2461
+ },
2462
+ {
2463
+ "epoch": 4.40169295883032,
2464
+ "grad_norm": 0.19460941851139069,
2465
+ "learning_rate": 4.228409889465218e-06,
2466
+ "loss": 0.002,
2467
+ "step": 2860
2468
+ },
2469
+ {
2470
+ "epoch": 4.417083493651404,
2471
+ "grad_norm": 0.02065412327647209,
2472
+ "learning_rate": 4.014555170074824e-06,
2473
+ "loss": 0.0011,
2474
+ "step": 2870
2475
+ },
2476
+ {
2477
+ "epoch": 4.432474028472489,
2478
+ "grad_norm": 0.023317057639360428,
2479
+ "learning_rate": 3.8060233744356633e-06,
2480
+ "loss": 0.0067,
2481
+ "step": 2880
2482
+ },
2483
+ {
2484
+ "epoch": 4.4478645632935745,
2485
+ "grad_norm": 0.017580850049853325,
2486
+ "learning_rate": 3.602838640595152e-06,
2487
+ "loss": 0.0022,
2488
+ "step": 2890
2489
+ },
2490
+ {
2491
+ "epoch": 4.46325509811466,
2492
+ "grad_norm": 0.4506520628929138,
2493
+ "learning_rate": 3.4050244876656866e-06,
2494
+ "loss": 0.0047,
2495
+ "step": 2900
2496
+ },
2497
+ {
2498
+ "epoch": 4.46325509811466,
2499
+ "eval_loss": 0.04926421493291855,
2500
+ "eval_runtime": 203.5851,
2501
+ "eval_samples_per_second": 5.678,
2502
+ "eval_steps_per_second": 5.678,
2503
+ "step": 2900
2504
+ },
2505
+ {
2506
+ "epoch": 4.478645632935745,
2507
+ "grad_norm": 0.032597895711660385,
2508
+ "learning_rate": 3.2126038131022552e-06,
2509
+ "loss": 0.0076,
2510
+ "step": 2910
2511
+ },
2512
+ {
2513
+ "epoch": 4.494036167756829,
2514
+ "grad_norm": 0.07329336553812027,
2515
+ "learning_rate": 3.025598890051995e-06,
2516
+ "loss": 0.0038,
2517
+ "step": 2920
2518
+ },
2519
+ {
2520
+ "epoch": 4.5094267025779144,
2521
+ "grad_norm": 0.04605919495224953,
2522
+ "learning_rate": 2.8440313647760288e-06,
2523
+ "loss": 0.0033,
2524
+ "step": 2930
2525
+ },
2526
+ {
2527
+ "epoch": 4.524817237399,
2528
+ "grad_norm": 0.2866140604019165,
2529
+ "learning_rate": 2.6679222541438397e-06,
2530
+ "loss": 0.0061,
2531
+ "step": 2940
2532
+ },
2533
+ {
2534
+ "epoch": 4.540207772220085,
2535
+ "grad_norm": 0.017162030562758446,
2536
+ "learning_rate": 2.4972919432005582e-06,
2537
+ "loss": 0.0021,
2538
+ "step": 2950
2539
+ },
2540
+ {
2541
+ "epoch": 4.540207772220085,
2542
+ "eval_loss": 0.04840932786464691,
2543
+ "eval_runtime": 204.0265,
2544
+ "eval_samples_per_second": 5.666,
2545
+ "eval_steps_per_second": 5.666,
2546
+ "step": 2950
2547
+ },
2548
+ {
2549
+ "epoch": 4.555598307041169,
2550
+ "grad_norm": 0.0646035224199295,
2551
+ "learning_rate": 2.3321601828073135e-06,
2552
+ "loss": 0.0013,
2553
+ "step": 2960
2554
+ },
2555
+ {
2556
+ "epoch": 4.570988841862254,
2557
+ "grad_norm": 0.15958349406719208,
2558
+ "learning_rate": 2.1725460873550317e-06,
2559
+ "loss": 0.0072,
2560
+ "step": 2970
2561
+ },
2562
+ {
2563
+ "epoch": 4.58637937668334,
2564
+ "grad_norm": 0.03168458864092827,
2565
+ "learning_rate": 2.0184681325519096e-06,
2566
+ "loss": 0.0027,
2567
+ "step": 2980
2568
+ },
2569
+ {
2570
+ "epoch": 4.601769911504425,
2571
+ "grad_norm": 0.18651697039604187,
2572
+ "learning_rate": 1.869944153284786e-06,
2573
+ "loss": 0.002,
2574
+ "step": 2990
2575
+ },
2576
+ {
2577
+ "epoch": 4.61716044632551,
2578
+ "grad_norm": 0.04747346416115761,
2579
+ "learning_rate": 1.7269913415547456e-06,
2580
+ "loss": 0.0031,
2581
+ "step": 3000
2582
+ },
2583
+ {
2584
+ "epoch": 4.61716044632551,
2585
+ "eval_loss": 0.04847216233611107,
2586
+ "eval_runtime": 204.0849,
2587
+ "eval_samples_per_second": 5.664,
2588
+ "eval_steps_per_second": 5.664,
2589
+ "step": 3000
2590
+ },
2591
+ {
2592
+ "epoch": 4.632550981146595,
2593
+ "grad_norm": 0.06841609627008438,
2594
+ "learning_rate": 1.589626244487069e-06,
2595
+ "loss": 0.004,
2596
+ "step": 3010
2597
+ },
2598
+ {
2599
+ "epoch": 4.64794151596768,
2600
+ "grad_norm": 0.261078804731369,
2601
+ "learning_rate": 1.4578647624158726e-06,
2602
+ "loss": 0.0027,
2603
+ "step": 3020
2604
+ },
2605
+ {
2606
+ "epoch": 4.663332050788765,
2607
+ "grad_norm": 0.3438866436481476,
2608
+ "learning_rate": 1.3317221470436293e-06,
2609
+ "loss": 0.0044,
2610
+ "step": 3030
2611
+ },
2612
+ {
2613
+ "epoch": 4.67872258560985,
2614
+ "grad_norm": 0.1622624397277832,
2615
+ "learning_rate": 1.2112129996757315e-06,
2616
+ "loss": 0.0032,
2617
+ "step": 3040
2618
+ },
2619
+ {
2620
+ "epoch": 4.694113120430935,
2621
+ "grad_norm": 0.008925117552280426,
2622
+ "learning_rate": 1.0963512695303546e-06,
2623
+ "loss": 0.0036,
2624
+ "step": 3050
2625
+ },
2626
+ {
2627
+ "epoch": 4.694113120430935,
2628
+ "eval_loss": 0.0487653985619545,
2629
+ "eval_runtime": 204.2189,
2630
+ "eval_samples_per_second": 5.661,
2631
+ "eval_steps_per_second": 5.661,
2632
+ "step": 3050
2633
+ },
2634
+ {
2635
+ "epoch": 4.7095036552520195,
2636
+ "grad_norm": 0.05633935704827309,
2637
+ "learning_rate": 9.871502521237975e-07,
2638
+ "loss": 0.0033,
2639
+ "step": 3060
2640
+ },
2641
+ {
2642
+ "epoch": 4.724894190073105,
2643
+ "grad_norm": 0.6485021114349365,
2644
+ "learning_rate": 8.83622587731514e-07,
2645
+ "loss": 0.0053,
2646
+ "step": 3070
2647
+ },
2648
+ {
2649
+ "epoch": 4.74028472489419,
2650
+ "grad_norm": 0.3753652274608612,
2651
+ "learning_rate": 7.857802599249564e-07,
2652
+ "loss": 0.0075,
2653
+ "step": 3080
2654
+ },
2655
+ {
2656
+ "epoch": 4.755675259715275,
2657
+ "grad_norm": 0.26364409923553467,
2658
+ "learning_rate": 6.936345941844335e-07,
2659
+ "loss": 0.0031,
2660
+ "step": 3090
2661
+ },
2662
+ {
2663
+ "epoch": 4.77106579453636,
2664
+ "grad_norm": 0.10415954887866974,
2665
+ "learning_rate": 6.071962565881939e-07,
2666
+ "loss": 0.0028,
2667
+ "step": 3100
2668
+ },
2669
+ {
2670
+ "epoch": 4.77106579453636,
2671
+ "eval_loss": 0.04879259690642357,
2672
+ "eval_runtime": 204.5165,
2673
+ "eval_samples_per_second": 5.652,
2674
+ "eval_steps_per_second": 5.652,
2675
+ "step": 3100
2676
+ },
2677
+ {
2678
+ "epoch": 4.786456329357446,
2679
+ "grad_norm": 0.05293230712413788,
2680
+ "learning_rate": 5.264752525777961e-07,
2681
+ "loss": 0.0077,
2682
+ "step": 3110
2683
+ },
2684
+ {
2685
+ "epoch": 4.80184686417853,
2686
+ "grad_norm": 0.061115507036447525,
2687
+ "learning_rate": 4.5148092579991863e-07,
2688
+ "loss": 0.0029,
2689
+ "step": 3120
2690
+ },
2691
+ {
2692
+ "epoch": 4.817237398999615,
2693
+ "grad_norm": 0.003671360434964299,
2694
+ "learning_rate": 3.822219570248531e-07,
2695
+ "loss": 0.0048,
2696
+ "step": 3130
2697
+ },
2698
+ {
2699
+ "epoch": 4.8326279338207,
2700
+ "grad_norm": 0.03889927268028259,
2701
+ "learning_rate": 3.187063631416742e-07,
2702
+ "loss": 0.0019,
2703
+ "step": 3140
2704
+ },
2705
+ {
2706
+ "epoch": 4.8480184686417855,
2707
+ "grad_norm": 0.04646418243646622,
2708
+ "learning_rate": 2.6094149623024365e-07,
2709
+ "loss": 0.0031,
2710
+ "step": 3150
2711
+ },
2712
+ {
2713
+ "epoch": 4.8480184686417855,
2714
+ "eval_loss": 0.048677533864974976,
2715
+ "eval_runtime": 203.9457,
2716
+ "eval_samples_per_second": 5.668,
2717
+ "eval_steps_per_second": 5.668,
2718
+ "step": 3150
2719
+ },
2720
+ {
2721
+ "epoch": 4.86340900346287,
2722
+ "grad_norm": 0.03158125653862953,
2723
+ "learning_rate": 2.0893404271022376e-07,
2724
+ "loss": 0.0028,
2725
+ "step": 3160
2726
+ },
2727
+ {
2728
+ "epoch": 4.878799538283955,
2729
+ "grad_norm": 0.16477619111537933,
2730
+ "learning_rate": 1.626900225670691e-07,
2731
+ "loss": 0.0023,
2732
+ "step": 3170
2733
+ },
2734
+ {
2735
+ "epoch": 4.89419007310504,
2736
+ "grad_norm": 0.049345288425683975,
2737
+ "learning_rate": 1.2221478865524493e-07,
2738
+ "loss": 0.002,
2739
+ "step": 3180
2740
+ },
2741
+ {
2742
+ "epoch": 4.9095806079261255,
2743
+ "grad_norm": 0.01945136860013008,
2744
+ "learning_rate": 8.751302607857836e-08,
2745
+ "loss": 0.0043,
2746
+ "step": 3190
2747
+ },
2748
+ {
2749
+ "epoch": 4.924971142747211,
2750
+ "grad_norm": 0.023310184478759766,
2751
+ "learning_rate": 5.8588751647975506e-08,
2752
+ "loss": 0.0035,
2753
+ "step": 3200
2754
+ },
2755
+ {
2756
+ "epoch": 4.924971142747211,
2757
+ "eval_loss": 0.04867711290717125,
2758
+ "eval_runtime": 204.1792,
2759
+ "eval_samples_per_second": 5.662,
2760
+ "eval_steps_per_second": 5.662,
2761
+ "step": 3200
2762
+ },
2763
+ {
2764
+ "epoch": 4.940361677568296,
2765
+ "grad_norm": 0.05658973753452301,
2766
+ "learning_rate": 3.544531341646007e-08,
2767
+ "loss": 0.0047,
2768
+ "step": 3210
2769
+ },
2770
+ {
2771
+ "epoch": 4.95575221238938,
2772
+ "grad_norm": 0.04455265402793884,
2773
+ "learning_rate": 1.808539029161116e-08,
2774
+ "loss": 0.0016,
2775
+ "step": 3220
2776
+ },
2777
+ {
2778
+ "epoch": 4.9711427472104655,
2779
+ "grad_norm": 0.05317055061459541,
2780
+ "learning_rate": 6.510991725500182e-09,
2781
+ "loss": 0.0053,
2782
+ "step": 3230
2783
+ },
2784
+ {
2785
+ "epoch": 4.986533282031551,
2786
+ "grad_norm": 0.07499335706233978,
2787
+ "learning_rate": 7.234574820769169e-10,
2788
+ "loss": 0.0025,
2789
+ "step": 3240
2790
+ },
2791
+ {
2792
+ "epoch": 4.994228549442093,
2793
+ "step": 3245,
2794
+ "total_flos": 8.169046237996646e+17,
2795
+ "train_loss": 0.03533345094547594,
2796
+ "train_runtime": 44857.0674,
2797
+ "train_samples_per_second": 1.159,
2798
+ "train_steps_per_second": 0.072
2799
+ }
2800
+ ],
2801
+ "logging_steps": 10,
2802
+ "max_steps": 3245,
2803
+ "num_input_tokens_seen": 0,
2804
+ "num_train_epochs": 5,
2805
+ "save_steps": 50,
2806
+ "stateful_callbacks": {
2807
+ "TrainerControl": {
2808
+ "args": {
2809
+ "should_epoch_stop": false,
2810
+ "should_evaluate": false,
2811
+ "should_log": false,
2812
+ "should_save": true,
2813
+ "should_training_stop": true
2814
+ },
2815
+ "attributes": {}
2816
+ }
2817
+ },
2818
+ "total_flos": 8.169046237996646e+17,
2819
+ "train_batch_size": 1,
2820
+ "trial_name": null,
2821
+ "trial_params": null
2822
+ }
training_eval_loss.png ADDED
training_loss.png ADDED