terry69 commited on
Commit
cf5e372
1 Parent(s): 24ba023

Model save

Browse files
README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
5
+ tags:
6
+ - trl
7
+ - sft
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: feedback_p0.1_seed42_level2_raredirtybatch16_reverse
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # feedback_p0.1_seed42_level2_raredirtybatch16_reverse
18
+
19
+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 1e-05
39
+ - train_batch_size: 4
40
+ - eval_batch_size: 1
41
+ - seed: 42
42
+ - distributed_type: multi-GPU
43
+ - num_devices: 4
44
+ - total_train_batch_size: 16
45
+ - total_eval_batch_size: 4
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: cosine
48
+ - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 1
50
+
51
+ ### Training results
52
+
53
+
54
+
55
+ ### Framework versions
56
+
57
+ - Transformers 4.44.2
58
+ - Pytorch 2.3.1+cu121
59
+ - Datasets 2.19.1
60
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 194827769610240.0,
4
+ "train_loss": 0.5009698675307838,
5
+ "train_runtime": 16706.09,
6
+ "train_samples": 98952,
7
+ "train_samples_per_second": 1.782,
8
+ "train_steps_per_second": 0.111
9
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.44.2"
6
+ }
runs/Sep23_01-34-06_COE-CS-sv003/events.out.tfevents.1727055551.COE-CS-sv003.724332.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cb4c8a38c9e0641fc9ba21dd90c1ad524fec670d26cc7eff92d96a23635ee56b
3
- size 84120
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d9edbd17cbcb2764f7c0946dc6ff730faa48f37d9fa80bd95a4e27698b9a42bc
3
+ size 84474
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 194827769610240.0,
4
+ "train_loss": 0.5009698675307838,
5
+ "train_runtime": 16706.09,
6
+ "train_samples": 98952,
7
+ "train_samples_per_second": 1.782,
8
+ "train_steps_per_second": 0.111
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,2660 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1861,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0005373455131649651,
13
+ "grad_norm": 23.072626458069166,
14
+ "learning_rate": 5.3475935828877005e-08,
15
+ "loss": 1.329,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0026867275658248252,
20
+ "grad_norm": 23.380544253320735,
21
+ "learning_rate": 2.6737967914438503e-07,
22
+ "loss": 1.3238,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.0053734551316496505,
27
+ "grad_norm": 14.233532908496148,
28
+ "learning_rate": 5.347593582887701e-07,
29
+ "loss": 1.2647,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.008060182697474477,
34
+ "grad_norm": 11.791057381257374,
35
+ "learning_rate": 8.021390374331551e-07,
36
+ "loss": 1.1476,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.010746910263299301,
41
+ "grad_norm": 7.369104708436159,
42
+ "learning_rate": 1.0695187165775401e-06,
43
+ "loss": 1.0118,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.013433637829124127,
48
+ "grad_norm": 3.790654764997102,
49
+ "learning_rate": 1.3368983957219254e-06,
50
+ "loss": 0.9345,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.016120365394948953,
55
+ "grad_norm": 3.447275461870041,
56
+ "learning_rate": 1.6042780748663103e-06,
57
+ "loss": 0.8918,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.018807092960773777,
62
+ "grad_norm": 2.9186352407291847,
63
+ "learning_rate": 1.8716577540106954e-06,
64
+ "loss": 0.8518,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.021493820526598602,
69
+ "grad_norm": 2.9408795060935695,
70
+ "learning_rate": 2.1390374331550802e-06,
71
+ "loss": 0.844,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.02418054809242343,
76
+ "grad_norm": 2.8790720251278565,
77
+ "learning_rate": 2.4064171122994653e-06,
78
+ "loss": 0.8318,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.026867275658248254,
83
+ "grad_norm": 2.963731808583039,
84
+ "learning_rate": 2.673796791443851e-06,
85
+ "loss": 0.8099,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.02955400322407308,
90
+ "grad_norm": 2.8588219846284297,
91
+ "learning_rate": 2.9411764705882355e-06,
92
+ "loss": 0.8054,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.032240730789897906,
97
+ "grad_norm": 3.105229156653952,
98
+ "learning_rate": 3.2085561497326205e-06,
99
+ "loss": 0.7913,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.03492745835572273,
104
+ "grad_norm": 3.1413414626518943,
105
+ "learning_rate": 3.4759358288770056e-06,
106
+ "loss": 0.7867,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.037614185921547555,
111
+ "grad_norm": 3.132841956959321,
112
+ "learning_rate": 3.7433155080213907e-06,
113
+ "loss": 0.7893,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.04030091348737238,
118
+ "grad_norm": 3.0623425732500142,
119
+ "learning_rate": 4.010695187165775e-06,
120
+ "loss": 0.7717,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.042987641053197204,
125
+ "grad_norm": 9.233814569420407,
126
+ "learning_rate": 4.2780748663101604e-06,
127
+ "loss": 0.7715,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.04567436861902203,
132
+ "grad_norm": 3.3097521575259368,
133
+ "learning_rate": 4.5454545454545455e-06,
134
+ "loss": 0.761,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.04836109618484686,
139
+ "grad_norm": 3.0349283160634597,
140
+ "learning_rate": 4.812834224598931e-06,
141
+ "loss": 0.7621,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.051047823750671684,
146
+ "grad_norm": 3.1760527715984153,
147
+ "learning_rate": 5.0802139037433165e-06,
148
+ "loss": 0.7591,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.05373455131649651,
153
+ "grad_norm": 2.928755685153135,
154
+ "learning_rate": 5.347593582887702e-06,
155
+ "loss": 0.7433,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.05642127888232133,
160
+ "grad_norm": 3.0202006224727174,
161
+ "learning_rate": 5.614973262032086e-06,
162
+ "loss": 0.7314,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.05910800644814616,
167
+ "grad_norm": 3.1295278900578682,
168
+ "learning_rate": 5.882352941176471e-06,
169
+ "loss": 0.7483,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.06179473401397098,
174
+ "grad_norm": 3.0863071896945167,
175
+ "learning_rate": 6.149732620320856e-06,
176
+ "loss": 0.7276,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.06448146157979581,
181
+ "grad_norm": 3.0744127119070526,
182
+ "learning_rate": 6.417112299465241e-06,
183
+ "loss": 0.7183,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.06716818914562063,
188
+ "grad_norm": 3.22926416708401,
189
+ "learning_rate": 6.684491978609626e-06,
190
+ "loss": 0.7242,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.06985491671144546,
195
+ "grad_norm": 2.9238184305563033,
196
+ "learning_rate": 6.951871657754011e-06,
197
+ "loss": 0.7194,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.07254164427727028,
202
+ "grad_norm": 2.907399933470749,
203
+ "learning_rate": 7.219251336898396e-06,
204
+ "loss": 0.7204,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.07522837184309511,
209
+ "grad_norm": 2.8941698993873137,
210
+ "learning_rate": 7.486631016042781e-06,
211
+ "loss": 0.6986,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.07791509940891994,
216
+ "grad_norm": 2.899562495835514,
217
+ "learning_rate": 7.754010695187166e-06,
218
+ "loss": 0.7021,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.08060182697474476,
223
+ "grad_norm": 2.8740571869341687,
224
+ "learning_rate": 8.02139037433155e-06,
225
+ "loss": 0.7096,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.08328855454056959,
230
+ "grad_norm": 2.912059141124366,
231
+ "learning_rate": 8.288770053475937e-06,
232
+ "loss": 0.7012,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.08597528210639441,
237
+ "grad_norm": 2.933852566630193,
238
+ "learning_rate": 8.556149732620321e-06,
239
+ "loss": 0.6909,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.08866200967221924,
244
+ "grad_norm": 2.954361982135904,
245
+ "learning_rate": 8.823529411764707e-06,
246
+ "loss": 0.6947,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.09134873723804406,
251
+ "grad_norm": 2.914429965048127,
252
+ "learning_rate": 9.090909090909091e-06,
253
+ "loss": 0.7064,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.09403546480386889,
258
+ "grad_norm": 2.824165175450085,
259
+ "learning_rate": 9.358288770053477e-06,
260
+ "loss": 0.6962,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.09672219236969372,
265
+ "grad_norm": 2.7629699563001724,
266
+ "learning_rate": 9.625668449197861e-06,
267
+ "loss": 0.7093,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.09940891993551854,
272
+ "grad_norm": 2.9700788007957484,
273
+ "learning_rate": 9.893048128342247e-06,
274
+ "loss": 0.7001,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.10209564750134337,
279
+ "grad_norm": 2.720187963907155,
280
+ "learning_rate": 9.999920755303033e-06,
281
+ "loss": 0.6972,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.10478237506716818,
286
+ "grad_norm": 2.579060861199631,
287
+ "learning_rate": 9.999436491251425e-06,
288
+ "loss": 0.7011,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.10746910263299302,
293
+ "grad_norm": 2.650831290761427,
294
+ "learning_rate": 9.998512030567253e-06,
295
+ "loss": 0.7045,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.11015583019881783,
300
+ "grad_norm": 3.3197406459470673,
301
+ "learning_rate": 9.99714745464859e-06,
302
+ "loss": 0.6992,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.11284255776464266,
307
+ "grad_norm": 3.0709444563569126,
308
+ "learning_rate": 9.995342883645325e-06,
309
+ "loss": 0.708,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.1155292853304675,
314
+ "grad_norm": 2.815374931010047,
315
+ "learning_rate": 9.993098476448576e-06,
316
+ "loss": 0.7011,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.11821601289629231,
321
+ "grad_norm": 2.9613320208688005,
322
+ "learning_rate": 9.990414430676716e-06,
323
+ "loss": 0.6821,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.12090274046211714,
328
+ "grad_norm": 2.690351994232397,
329
+ "learning_rate": 9.987290982657961e-06,
330
+ "loss": 0.6848,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.12358946802794196,
335
+ "grad_norm": 3.5601408393747445,
336
+ "learning_rate": 9.983728407409565e-06,
337
+ "loss": 0.6832,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.1262761955937668,
342
+ "grad_norm": 2.4701820214975014,
343
+ "learning_rate": 9.979727018613607e-06,
344
+ "loss": 0.6934,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.12896292315959162,
349
+ "grad_norm": 2.4626384928709983,
350
+ "learning_rate": 9.975287168589369e-06,
351
+ "loss": 0.6785,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.13164965072541646,
356
+ "grad_norm": 2.588440598744194,
357
+ "learning_rate": 9.970409248262314e-06,
358
+ "loss": 0.6978,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.13433637829124126,
363
+ "grad_norm": 2.6880919710650413,
364
+ "learning_rate": 9.965093687129669e-06,
365
+ "loss": 0.6808,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.1370231058570661,
370
+ "grad_norm": 2.9087730515287955,
371
+ "learning_rate": 9.959340953222602e-06,
372
+ "loss": 0.6758,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.13970983342289092,
377
+ "grad_norm": 2.6772738824086075,
378
+ "learning_rate": 9.953151553065019e-06,
379
+ "loss": 0.6698,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.14239656098871575,
384
+ "grad_norm": 2.669218732871304,
385
+ "learning_rate": 9.94652603162896e-06,
386
+ "loss": 0.6939,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.14508328855454056,
391
+ "grad_norm": 2.4902462796339457,
392
+ "learning_rate": 9.939464972286618e-06,
393
+ "loss": 0.6702,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.1477700161203654,
398
+ "grad_norm": 2.4766182391586975,
399
+ "learning_rate": 9.931968996758972e-06,
400
+ "loss": 0.6697,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.15045674368619022,
405
+ "grad_norm": 2.5255485155595228,
406
+ "learning_rate": 9.924038765061042e-06,
407
+ "loss": 0.6665,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.15314347125201505,
412
+ "grad_norm": 2.5656888228811794,
413
+ "learning_rate": 9.915674975443779e-06,
414
+ "loss": 0.6565,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.15583019881783988,
419
+ "grad_norm": 2.825801360492887,
420
+ "learning_rate": 9.906878364332586e-06,
421
+ "loss": 0.6642,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.15851692638366469,
426
+ "grad_norm": 2.6497249215881253,
427
+ "learning_rate": 9.897649706262474e-06,
428
+ "loss": 0.6624,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.16120365394948952,
433
+ "grad_norm": 2.6523672302785575,
434
+ "learning_rate": 9.88798981380986e-06,
435
+ "loss": 0.6659,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.16389038151531435,
440
+ "grad_norm": 2.6257923259309495,
441
+ "learning_rate": 9.877899537521028e-06,
442
+ "loss": 0.6533,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.16657710908113918,
447
+ "grad_norm": 2.465767578464491,
448
+ "learning_rate": 9.867379765837237e-06,
449
+ "loss": 0.6518,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.169263836646964,
454
+ "grad_norm": 2.556282218650964,
455
+ "learning_rate": 9.85643142501649e-06,
456
+ "loss": 0.6559,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.17195056421278881,
461
+ "grad_norm": 2.6286087389340227,
462
+ "learning_rate": 9.845055479051986e-06,
463
+ "loss": 0.6469,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.17463729177861365,
468
+ "grad_norm": 2.419535618698552,
469
+ "learning_rate": 9.833252929587231e-06,
470
+ "loss": 0.6631,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.17732401934443848,
475
+ "grad_norm": 2.4542391410254956,
476
+ "learning_rate": 9.821024815827854e-06,
477
+ "loss": 0.6591,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.1800107469102633,
482
+ "grad_norm": 2.4908873755968997,
483
+ "learning_rate": 9.808372214450093e-06,
484
+ "loss": 0.6658,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.1826974744760881,
489
+ "grad_norm": 2.3733848426387176,
490
+ "learning_rate": 9.795296239506011e-06,
491
+ "loss": 0.662,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.18538420204191294,
496
+ "grad_norm": 2.865296798119886,
497
+ "learning_rate": 9.781798042325392e-06,
498
+ "loss": 0.6526,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.18807092960773777,
503
+ "grad_norm": 2.487445934484789,
504
+ "learning_rate": 9.767878811414373e-06,
505
+ "loss": 0.6525,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.1907576571735626,
510
+ "grad_norm": 2.388699669948045,
511
+ "learning_rate": 9.753539772350792e-06,
512
+ "loss": 0.647,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.19344438473938744,
517
+ "grad_norm": 2.445554737991476,
518
+ "learning_rate": 9.738782187676282e-06,
519
+ "loss": 0.6425,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.19613111230521224,
524
+ "grad_norm": 2.435104584478995,
525
+ "learning_rate": 9.723607356785103e-06,
526
+ "loss": 0.6443,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.19881783987103707,
531
+ "grad_norm": 2.479158175926532,
532
+ "learning_rate": 9.70801661580973e-06,
533
+ "loss": 0.6575,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.2015045674368619,
538
+ "grad_norm": 2.637755494092567,
539
+ "learning_rate": 9.692011337503212e-06,
540
+ "loss": 0.6421,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.20419129500268673,
545
+ "grad_norm": 2.520737872507786,
546
+ "learning_rate": 9.675592931118293e-06,
547
+ "loss": 0.6358,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.20687802256851157,
552
+ "grad_norm": 2.3907603747141675,
553
+ "learning_rate": 9.658762842283343e-06,
554
+ "loss": 0.6285,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.20956475013433637,
559
+ "grad_norm": 2.3651549722988023,
560
+ "learning_rate": 9.641522552875055e-06,
561
+ "loss": 0.6119,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.2122514777001612,
566
+ "grad_norm": 2.5208115737245604,
567
+ "learning_rate": 9.62387358088798e-06,
568
+ "loss": 0.6333,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.21493820526598603,
573
+ "grad_norm": 2.6819070319357037,
574
+ "learning_rate": 9.605817480300863e-06,
575
+ "loss": 0.6205,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.21762493283181086,
580
+ "grad_norm": 2.356493009815594,
581
+ "learning_rate": 9.587355840939813e-06,
582
+ "loss": 0.64,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.22031166039763567,
587
+ "grad_norm": 2.405371194871644,
588
+ "learning_rate": 9.568490288338324e-06,
589
+ "loss": 0.6245,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.2229983879634605,
594
+ "grad_norm": 2.6012482105829706,
595
+ "learning_rate": 9.549222483594154e-06,
596
+ "loss": 0.6451,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.22568511552928533,
601
+ "grad_norm": 2.3956259391703196,
602
+ "learning_rate": 9.529554123223053e-06,
603
+ "loss": 0.6223,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.22837184309511016,
608
+ "grad_norm": 2.398583860789219,
609
+ "learning_rate": 9.5094869390094e-06,
610
+ "loss": 0.6427,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.231058570660935,
615
+ "grad_norm": 2.5232663534614863,
616
+ "learning_rate": 9.48902269785371e-06,
617
+ "loss": 0.6264,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.2337452982267598,
622
+ "grad_norm": 2.4227785562286033,
623
+ "learning_rate": 9.468163201617063e-06,
624
+ "loss": 0.6172,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.23643202579258463,
629
+ "grad_norm": 2.4898638907719586,
630
+ "learning_rate": 9.446910286962453e-06,
631
+ "loss": 0.6186,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.23911875335840946,
636
+ "grad_norm": 2.3600937624812524,
637
+ "learning_rate": 9.425265825193077e-06,
638
+ "loss": 0.6009,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.2418054809242343,
643
+ "grad_norm": 2.479426617963906,
644
+ "learning_rate": 9.403231722087554e-06,
645
+ "loss": 0.6373,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.24449220849005912,
650
+ "grad_norm": 2.4357419818938117,
651
+ "learning_rate": 9.380809917732132e-06,
652
+ "loss": 0.6076,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.24717893605588392,
657
+ "grad_norm": 2.47734706096724,
658
+ "learning_rate": 9.358002386349862e-06,
659
+ "loss": 0.6052,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.24986566362170876,
664
+ "grad_norm": 2.545179042557431,
665
+ "learning_rate": 9.334811136126778e-06,
666
+ "loss": 0.6067,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.2525523911875336,
671
+ "grad_norm": 2.576572600102202,
672
+ "learning_rate": 9.31123820903506e-06,
673
+ "loss": 0.6035,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.2552391187533584,
678
+ "grad_norm": 2.4612256004699145,
679
+ "learning_rate": 9.287285680653254e-06,
680
+ "loss": 0.606,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.25792584631918325,
685
+ "grad_norm": 2.495237864289767,
686
+ "learning_rate": 9.262955659983522e-06,
687
+ "loss": 0.5942,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.2606125738850081,
692
+ "grad_norm": 2.65866167773882,
693
+ "learning_rate": 9.238250289265921e-06,
694
+ "loss": 0.599,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.2632993014508329,
699
+ "grad_norm": 2.473870495050297,
700
+ "learning_rate": 9.21317174378982e-06,
701
+ "loss": 0.612,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.2659860290166577,
706
+ "grad_norm": 2.3022323203953,
707
+ "learning_rate": 9.187722231702326e-06,
708
+ "loss": 0.5794,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.2686727565824825,
713
+ "grad_norm": 2.3360448253147643,
714
+ "learning_rate": 9.161903993813892e-06,
715
+ "loss": 0.5821,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.27135948414830735,
720
+ "grad_norm": 2.4400501057412454,
721
+ "learning_rate": 9.135719303400995e-06,
722
+ "loss": 0.5969,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.2740462117141322,
727
+ "grad_norm": 2.324402047254847,
728
+ "learning_rate": 9.10917046600598e-06,
729
+ "loss": 0.5914,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.276732939279957,
734
+ "grad_norm": 2.4328149953899296,
735
+ "learning_rate": 9.082259819234063e-06,
736
+ "loss": 0.5871,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.27941966684578184,
741
+ "grad_norm": 2.326659710915374,
742
+ "learning_rate": 9.054989732547507e-06,
743
+ "loss": 0.5874,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.2821063944116067,
748
+ "grad_norm": 2.4409777215420942,
749
+ "learning_rate": 9.027362607056986e-06,
750
+ "loss": 0.5964,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.2847931219774315,
755
+ "grad_norm": 2.412955363836415,
756
+ "learning_rate": 8.999380875310176e-06,
757
+ "loss": 0.5877,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.28747984954325634,
762
+ "grad_norm": 2.8194077899428516,
763
+ "learning_rate": 8.971047001077561e-06,
764
+ "loss": 0.5883,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.2901665771090811,
769
+ "grad_norm": 2.469304660089161,
770
+ "learning_rate": 8.942363479135516e-06,
771
+ "loss": 0.5801,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.29285330467490595,
776
+ "grad_norm": 2.3564533376477192,
777
+ "learning_rate": 8.913332835046629e-06,
778
+ "loss": 0.576,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.2955400322407308,
783
+ "grad_norm": 2.4491464187209067,
784
+ "learning_rate": 8.883957624937333e-06,
785
+ "loss": 0.5792,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.2982267598065556,
790
+ "grad_norm": 2.3159629602291276,
791
+ "learning_rate": 8.854240435272842e-06,
792
+ "loss": 0.5617,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.30091348737238044,
797
+ "grad_norm": 2.5317785480271584,
798
+ "learning_rate": 8.824183882629411e-06,
799
+ "loss": 0.5669,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.30360021493820527,
804
+ "grad_norm": 2.3852078136194135,
805
+ "learning_rate": 8.793790613463956e-06,
806
+ "loss": 0.5697,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.3062869425040301,
811
+ "grad_norm": 2.4921927583022168,
812
+ "learning_rate": 8.763063303881021e-06,
813
+ "loss": 0.5796,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.30897367006985493,
818
+ "grad_norm": 9.308745310175,
819
+ "learning_rate": 8.73200465939717e-06,
820
+ "loss": 0.5735,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.31166039763567976,
825
+ "grad_norm": 2.4517036683344458,
826
+ "learning_rate": 8.700617414702746e-06,
827
+ "loss": 0.5671,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.31434712520150454,
832
+ "grad_norm": 2.2949061651822635,
833
+ "learning_rate": 8.668904333421098e-06,
834
+ "loss": 0.5696,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.31703385276732937,
839
+ "grad_norm": 2.2916177476898096,
840
+ "learning_rate": 8.636868207865244e-06,
841
+ "loss": 0.5756,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.3197205803331542,
846
+ "grad_norm": 2.5518854172821297,
847
+ "learning_rate": 8.604511858792006e-06,
848
+ "loss": 0.5622,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.32240730789897903,
853
+ "grad_norm": 2.4475160043733797,
854
+ "learning_rate": 8.571838135153645e-06,
855
+ "loss": 0.5525,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.32509403546480387,
860
+ "grad_norm": 2.3488225651794497,
861
+ "learning_rate": 8.538849913847019e-06,
862
+ "loss": 0.569,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.3277807630306287,
867
+ "grad_norm": 2.353785375547004,
868
+ "learning_rate": 8.505550099460264e-06,
869
+ "loss": 0.5575,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.33046749059645353,
874
+ "grad_norm": 2.5058455114214166,
875
+ "learning_rate": 8.471941624017058e-06,
876
+ "loss": 0.5497,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.33315421816227836,
881
+ "grad_norm": 2.4037582668437674,
882
+ "learning_rate": 8.43802744671845e-06,
883
+ "loss": 0.5592,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.3358409457281032,
888
+ "grad_norm": 2.3703138788584206,
889
+ "learning_rate": 8.403810553682307e-06,
890
+ "loss": 0.55,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.338527673293928,
895
+ "grad_norm": 2.4422133082637605,
896
+ "learning_rate": 8.369293957680397e-06,
897
+ "loss": 0.5451,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.3412144008597528,
902
+ "grad_norm": 2.372256863029062,
903
+ "learning_rate": 8.334480697873101e-06,
904
+ "loss": 0.5616,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.34390112842557763,
909
+ "grad_norm": 2.30267735280899,
910
+ "learning_rate": 8.299373839541829e-06,
911
+ "loss": 0.547,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.34658785599140246,
916
+ "grad_norm": 2.312324577995851,
917
+ "learning_rate": 8.26397647381912e-06,
918
+ "loss": 0.5406,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.3492745835572273,
923
+ "grad_norm": 2.4374915255270175,
924
+ "learning_rate": 8.228291717416472e-06,
925
+ "loss": 0.5388,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.3519613111230521,
930
+ "grad_norm": 2.3871133470130674,
931
+ "learning_rate": 8.192322712349917e-06,
932
+ "loss": 0.5432,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.35464803868887695,
937
+ "grad_norm": 2.519969391683205,
938
+ "learning_rate": 8.15607262566337e-06,
939
+ "loss": 0.5348,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.3573347662547018,
944
+ "grad_norm": 2.4866718815954623,
945
+ "learning_rate": 8.119544649149762e-06,
946
+ "loss": 0.5567,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.3600214938205266,
951
+ "grad_norm": 2.401099368264956,
952
+ "learning_rate": 8.08274199907003e-06,
953
+ "loss": 0.5409,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.36270822138635145,
958
+ "grad_norm": 2.320605485178993,
959
+ "learning_rate": 8.0456679158699e-06,
960
+ "loss": 0.5283,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.3653949489521762,
965
+ "grad_norm": 2.3005736041616642,
966
+ "learning_rate": 8.008325663894586e-06,
967
+ "loss": 0.5368,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.36808167651800106,
972
+ "grad_norm": 2.305647834819274,
973
+ "learning_rate": 7.970718531101365e-06,
974
+ "loss": 0.5398,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.3707684040838259,
979
+ "grad_norm": 2.3268228923372263,
980
+ "learning_rate": 7.932849828770062e-06,
981
+ "loss": 0.5348,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.3734551316496507,
986
+ "grad_norm": 2.2813438553059053,
987
+ "learning_rate": 7.89472289121151e-06,
988
+ "loss": 0.5602,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.37614185921547555,
993
+ "grad_norm": 2.2064861994852816,
994
+ "learning_rate": 7.856341075473963e-06,
995
+ "loss": 0.5227,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.3788285867813004,
1000
+ "grad_norm": 2.385886752618868,
1001
+ "learning_rate": 7.817707761047498e-06,
1002
+ "loss": 0.5292,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.3815153143471252,
1007
+ "grad_norm": 2.3717077533920867,
1008
+ "learning_rate": 7.77882634956647e-06,
1009
+ "loss": 0.5332,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.38420204191295004,
1014
+ "grad_norm": 2.389159454524817,
1015
+ "learning_rate": 7.739700264509993e-06,
1016
+ "loss": 0.5236,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.3868887694787749,
1021
+ "grad_norm": 2.314814719990629,
1022
+ "learning_rate": 7.700332950900504e-06,
1023
+ "loss": 0.5217,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.38957549704459965,
1028
+ "grad_norm": 2.207891685389126,
1029
+ "learning_rate": 7.660727875000432e-06,
1030
+ "loss": 0.5078,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.3922622246104245,
1035
+ "grad_norm": 2.3264819673930432,
1036
+ "learning_rate": 7.6208885240069995e-06,
1037
+ "loss": 0.5267,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.3949489521762493,
1042
+ "grad_norm": 2.288819911752258,
1043
+ "learning_rate": 7.5808184057451765e-06,
1044
+ "loss": 0.5067,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.39763567974207414,
1049
+ "grad_norm": 2.3653593555899857,
1050
+ "learning_rate": 7.540521048358814e-06,
1051
+ "loss": 0.5344,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.400322407307899,
1056
+ "grad_norm": 2.4648359924535743,
1057
+ "learning_rate": 7.500000000000001e-06,
1058
+ "loss": 0.5227,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.4030091348737238,
1063
+ "grad_norm": 2.409473996165666,
1064
+ "learning_rate": 7.459258828516645e-06,
1065
+ "loss": 0.5096,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.40569586243954864,
1070
+ "grad_norm": 2.3668323179746236,
1071
+ "learning_rate": 7.418301121138335e-06,
1072
+ "loss": 0.5171,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.40838259000537347,
1077
+ "grad_norm": 2.4782926067309825,
1078
+ "learning_rate": 7.3771304841604764e-06,
1079
+ "loss": 0.51,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.4110693175711983,
1084
+ "grad_norm": 2.267794928141394,
1085
+ "learning_rate": 7.335750542626772e-06,
1086
+ "loss": 0.5245,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.41375604513702313,
1091
+ "grad_norm": 2.318079683575523,
1092
+ "learning_rate": 7.294164940010031e-06,
1093
+ "loss": 0.5124,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.4164427727028479,
1098
+ "grad_norm": 2.1909268149999988,
1099
+ "learning_rate": 7.2523773378913655e-06,
1100
+ "loss": 0.5168,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.41912950026867274,
1105
+ "grad_norm": 2.2456539972858773,
1106
+ "learning_rate": 7.210391415637797e-06,
1107
+ "loss": 0.4946,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.42181622783449757,
1112
+ "grad_norm": 2.4974603199079133,
1113
+ "learning_rate": 7.168210870078277e-06,
1114
+ "loss": 0.5064,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.4245029554003224,
1119
+ "grad_norm": 2.334444583921718,
1120
+ "learning_rate": 7.125839415178204e-06,
1121
+ "loss": 0.5116,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.42718968296614723,
1126
+ "grad_norm": 2.397330148256394,
1127
+ "learning_rate": 7.083280781712394e-06,
1128
+ "loss": 0.5081,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.42987641053197206,
1133
+ "grad_norm": 2.5416270893996273,
1134
+ "learning_rate": 7.0405387169365965e-06,
1135
+ "loss": 0.499,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.4325631380977969,
1140
+ "grad_norm": 2.3363347223952657,
1141
+ "learning_rate": 6.9976169842575526e-06,
1142
+ "loss": 0.5049,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.4352498656636217,
1147
+ "grad_norm": 2.296216857638828,
1148
+ "learning_rate": 6.9545193629016215e-06,
1149
+ "loss": 0.5168,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.43793659322944656,
1154
+ "grad_norm": 2.4900891751826237,
1155
+ "learning_rate": 6.911249647582036e-06,
1156
+ "loss": 0.4939,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.44062332079527133,
1161
+ "grad_norm": 2.3708479871646797,
1162
+ "learning_rate": 6.867811648164769e-06,
1163
+ "loss": 0.4968,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.44331004836109617,
1168
+ "grad_norm": 2.2942739105778007,
1169
+ "learning_rate": 6.824209189333082e-06,
1170
+ "loss": 0.4892,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.445996775926921,
1175
+ "grad_norm": 2.298491349290504,
1176
+ "learning_rate": 6.780446110250766e-06,
1177
+ "loss": 0.5064,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.4486835034927458,
1182
+ "grad_norm": 2.3571392373027624,
1183
+ "learning_rate": 6.736526264224101e-06,
1184
+ "loss": 0.5005,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.45137023105857066,
1189
+ "grad_norm": 2.459885767558715,
1190
+ "learning_rate": 6.692453518362587e-06,
1191
+ "loss": 0.4951,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.4540569586243955,
1196
+ "grad_norm": 2.411449421942393,
1197
+ "learning_rate": 6.648231753238431e-06,
1198
+ "loss": 0.4828,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.4567436861902203,
1203
+ "grad_norm": 2.404363576863236,
1204
+ "learning_rate": 6.603864862544879e-06,
1205
+ "loss": 0.493,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.45943041375604515,
1210
+ "grad_norm": 2.2737487815721478,
1211
+ "learning_rate": 6.5593567527533715e-06,
1212
+ "loss": 0.4744,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.46211714132187,
1217
+ "grad_norm": 2.3678978985955186,
1218
+ "learning_rate": 6.514711342769588e-06,
1219
+ "loss": 0.5012,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.4648038688876948,
1224
+ "grad_norm": 2.356303245264604,
1225
+ "learning_rate": 6.469932563588386e-06,
1226
+ "loss": 0.4973,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.4674905964535196,
1231
+ "grad_norm": 2.7020262831984527,
1232
+ "learning_rate": 6.425024357947677e-06,
1233
+ "loss": 0.4918,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.4701773240193444,
1238
+ "grad_norm": 2.3340485214143745,
1239
+ "learning_rate": 6.3799906799812805e-06,
1240
+ "loss": 0.4982,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.47286405158516925,
1245
+ "grad_norm": 2.4191389152178373,
1246
+ "learning_rate": 6.334835494870759e-06,
1247
+ "loss": 0.4751,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.4755507791509941,
1252
+ "grad_norm": 2.272119239990629,
1253
+ "learning_rate": 6.289562778496285e-06,
1254
+ "loss": 0.4872,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.4782375067168189,
1259
+ "grad_norm": 2.300477262266863,
1260
+ "learning_rate": 6.244176517086573e-06,
1261
+ "loss": 0.4821,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.48092423428264375,
1266
+ "grad_norm": 2.446204046472319,
1267
+ "learning_rate": 6.1986807068678926e-06,
1268
+ "loss": 0.4823,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.4836109618484686,
1273
+ "grad_norm": 2.290872783259082,
1274
+ "learning_rate": 6.153079353712201e-06,
1275
+ "loss": 0.4683,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.4862976894142934,
1280
+ "grad_norm": 2.311264668993125,
1281
+ "learning_rate": 6.107376472784438e-06,
1282
+ "loss": 0.4759,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.48898441698011824,
1287
+ "grad_norm": 2.1766053144740805,
1288
+ "learning_rate": 6.061576088188981e-06,
1289
+ "loss": 0.4541,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.491671144545943,
1294
+ "grad_norm": 2.2863598186899563,
1295
+ "learning_rate": 6.015682232615336e-06,
1296
+ "loss": 0.4751,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.49435787211176785,
1301
+ "grad_norm": 2.3157344313618453,
1302
+ "learning_rate": 5.969698946983055e-06,
1303
+ "loss": 0.4579,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.4970445996775927,
1308
+ "grad_norm": 2.4556667211388308,
1309
+ "learning_rate": 5.923630280085948e-06,
1310
+ "loss": 0.4667,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.4997313272434175,
1315
+ "grad_norm": 2.2693647056660575,
1316
+ "learning_rate": 5.877480288235569e-06,
1317
+ "loss": 0.4642,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.5024180548092424,
1322
+ "grad_norm": 2.299235513307737,
1323
+ "learning_rate": 5.831253034904083e-06,
1324
+ "loss": 0.4625,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.5051047823750672,
1329
+ "grad_norm": 2.2594758653976603,
1330
+ "learning_rate": 5.7849525903664636e-06,
1331
+ "loss": 0.4741,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.507791509940892,
1336
+ "grad_norm": 2.346200404836091,
1337
+ "learning_rate": 5.738583031342123e-06,
1338
+ "loss": 0.4533,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.5104782375067168,
1343
+ "grad_norm": 2.198398726512657,
1344
+ "learning_rate": 5.692148440635946e-06,
1345
+ "loss": 0.4561,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.5131649650725416,
1350
+ "grad_norm": 2.3681691462263466,
1351
+ "learning_rate": 5.645652906778808e-06,
1352
+ "loss": 0.4621,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.5158516926383665,
1357
+ "grad_norm": 2.344944047074419,
1358
+ "learning_rate": 5.599100523667586e-06,
1359
+ "loss": 0.4599,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.5185384202041913,
1364
+ "grad_norm": 2.2092289217419085,
1365
+ "learning_rate": 5.552495390204691e-06,
1366
+ "loss": 0.4722,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.5212251477700162,
1371
+ "grad_norm": 2.3297576895231606,
1372
+ "learning_rate": 5.505841609937162e-06,
1373
+ "loss": 0.4532,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.5239118753358409,
1378
+ "grad_norm": 2.267324308428592,
1379
+ "learning_rate": 5.4591432906953515e-06,
1380
+ "loss": 0.4527,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.5265986029016658,
1385
+ "grad_norm": 2.4550058840280884,
1386
+ "learning_rate": 5.412404544231235e-06,
1387
+ "loss": 0.4562,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.5292853304674906,
1392
+ "grad_norm": 2.268535616599798,
1393
+ "learning_rate": 5.365629485856381e-06,
1394
+ "loss": 0.4454,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.5319720580333154,
1399
+ "grad_norm": 2.598323262451839,
1400
+ "learning_rate": 5.318822234079584e-06,
1401
+ "loss": 0.4614,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.5346587855991403,
1406
+ "grad_norm": 6.381482924500483,
1407
+ "learning_rate": 5.271986910244254e-06,
1408
+ "loss": 0.4366,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.537345513164965,
1413
+ "grad_norm": 2.359236695134924,
1414
+ "learning_rate": 5.225127638165514e-06,
1415
+ "loss": 0.4535,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.5400322407307899,
1420
+ "grad_norm": 2.268448533208311,
1421
+ "learning_rate": 5.178248543767122e-06,
1422
+ "loss": 0.4342,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.5427189682966147,
1427
+ "grad_norm": 2.358403761646346,
1428
+ "learning_rate": 5.1313537547181716e-06,
1429
+ "loss": 0.4405,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.5454056958624396,
1434
+ "grad_norm": 2.2710106949262805,
1435
+ "learning_rate": 5.084447400069656e-06,
1436
+ "loss": 0.4419,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.5480924234282644,
1441
+ "grad_norm": 2.368278941060436,
1442
+ "learning_rate": 5.037533609890917e-06,
1443
+ "loss": 0.4364,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.5507791509940893,
1448
+ "grad_norm": 2.284175829190933,
1449
+ "learning_rate": 4.990616514905982e-06,
1450
+ "loss": 0.4452,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.553465878559914,
1455
+ "grad_norm": 2.41532321709073,
1456
+ "learning_rate": 4.943700246129871e-06,
1457
+ "loss": 0.436,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.5561526061257388,
1462
+ "grad_norm": 2.3211025544242787,
1463
+ "learning_rate": 4.896788934504853e-06,
1464
+ "loss": 0.4467,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.5588393336915637,
1469
+ "grad_norm": 2.347444291429596,
1470
+ "learning_rate": 4.849886710536725e-06,
1471
+ "loss": 0.4288,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.5615260612573885,
1476
+ "grad_norm": 2.4127644606277014,
1477
+ "learning_rate": 4.802997703931124e-06,
1478
+ "loss": 0.4355,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.5642127888232134,
1483
+ "grad_norm": 2.4325621488004776,
1484
+ "learning_rate": 4.7561260432299015e-06,
1485
+ "loss": 0.4551,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.5668995163890381,
1490
+ "grad_norm": 2.242665015732091,
1491
+ "learning_rate": 4.7092758554476215e-06,
1492
+ "loss": 0.4364,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.569586243954863,
1497
+ "grad_norm": 2.4289606347980692,
1498
+ "learning_rate": 4.662451265708174e-06,
1499
+ "loss": 0.4316,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.5722729715206878,
1504
+ "grad_norm": 2.2828904861500257,
1505
+ "learning_rate": 4.6156563968815575e-06,
1506
+ "loss": 0.4298,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.5749596990865127,
1511
+ "grad_norm": 2.320278023559682,
1512
+ "learning_rate": 4.568895369220868e-06,
1513
+ "loss": 0.4332,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.5776464266523375,
1518
+ "grad_norm": 2.228672536344676,
1519
+ "learning_rate": 4.52217229999951e-06,
1520
+ "loss": 0.4291,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.5803331542181622,
1525
+ "grad_norm": 2.2818442860821664,
1526
+ "learning_rate": 4.47549130314868e-06,
1527
+ "loss": 0.4254,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.5830198817839871,
1532
+ "grad_norm": 2.218722467460458,
1533
+ "learning_rate": 4.428856488895128e-06,
1534
+ "loss": 0.441,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.5857066093498119,
1539
+ "grad_norm": 2.2852430401184907,
1540
+ "learning_rate": 4.382271963399268e-06,
1541
+ "loss": 0.4201,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.5883933369156368,
1546
+ "grad_norm": 2.2551743568535416,
1547
+ "learning_rate": 4.33574182839362e-06,
1548
+ "loss": 0.4284,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.5910800644814616,
1553
+ "grad_norm": 2.161938070818427,
1554
+ "learning_rate": 4.28927018082167e-06,
1555
+ "loss": 0.4274,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.5937667920472864,
1560
+ "grad_norm": 2.4061344797719753,
1561
+ "learning_rate": 4.2428611124771184e-06,
1562
+ "loss": 0.4141,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.5964535196131112,
1567
+ "grad_norm": 2.325443484824538,
1568
+ "learning_rate": 4.19651870964362e-06,
1569
+ "loss": 0.4286,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.5991402471789361,
1574
+ "grad_norm": 2.3440359985504133,
1575
+ "learning_rate": 4.150247052734979e-06,
1576
+ "loss": 0.4302,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.6018269747447609,
1581
+ "grad_norm": 2.4615226071875567,
1582
+ "learning_rate": 4.104050215935875e-06,
1583
+ "loss": 0.4111,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.6045137023105857,
1588
+ "grad_norm": 2.4429242324006983,
1589
+ "learning_rate": 4.0579322668431295e-06,
1590
+ "loss": 0.4193,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.6072004298764105,
1595
+ "grad_norm": 2.3015769237979677,
1596
+ "learning_rate": 4.011897266107567e-06,
1597
+ "loss": 0.42,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.6098871574422353,
1602
+ "grad_norm": 2.1719410742796,
1603
+ "learning_rate": 3.965949267076465e-06,
1604
+ "loss": 0.4027,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.6125738850080602,
1609
+ "grad_norm": 2.192156669745234,
1610
+ "learning_rate": 3.9200923154366685e-06,
1611
+ "loss": 0.423,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.615260612573885,
1616
+ "grad_norm": 2.2811472307718414,
1617
+ "learning_rate": 3.874330448858369e-06,
1618
+ "loss": 0.4142,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.6179473401397099,
1623
+ "grad_norm": 2.116499798174077,
1624
+ "learning_rate": 3.8286676966395895e-06,
1625
+ "loss": 0.4107,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.6206340677055346,
1630
+ "grad_norm": 2.244666553521093,
1631
+ "learning_rate": 3.7831080793514065e-06,
1632
+ "loss": 0.4017,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.6233207952713595,
1637
+ "grad_norm": 2.4675679743826295,
1638
+ "learning_rate": 3.7376556084839465e-06,
1639
+ "loss": 0.4059,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.6260075228371843,
1644
+ "grad_norm": 2.443117409755618,
1645
+ "learning_rate": 3.692314286093167e-06,
1646
+ "loss": 0.4162,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.6286942504030091,
1651
+ "grad_norm": 2.2029356738105363,
1652
+ "learning_rate": 3.647088104448494e-06,
1653
+ "loss": 0.4045,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.631380977968834,
1658
+ "grad_norm": 2.2250689532361045,
1659
+ "learning_rate": 3.601981045681292e-06,
1660
+ "loss": 0.4035,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.6340677055346587,
1665
+ "grad_norm": 2.3017262536884395,
1666
+ "learning_rate": 3.556997081434248e-06,
1667
+ "loss": 0.4043,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.6367544331004836,
1672
+ "grad_norm": 2.242688700397434,
1673
+ "learning_rate": 3.5121401725116653e-06,
1674
+ "loss": 0.405,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.6394411606663084,
1679
+ "grad_norm": 2.0746209840311747,
1680
+ "learning_rate": 3.4674142685307264e-06,
1681
+ "loss": 0.4086,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.6421278882321333,
1686
+ "grad_norm": 2.2459358965322993,
1687
+ "learning_rate": 3.4228233075737225e-06,
1688
+ "loss": 0.4121,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.6448146157979581,
1693
+ "grad_norm": 2.1930816457650235,
1694
+ "learning_rate": 3.3783712158413163e-06,
1695
+ "loss": 0.395,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.647501343363783,
1700
+ "grad_norm": 2.0405182523892145,
1701
+ "learning_rate": 3.3340619073068347e-06,
1702
+ "loss": 0.3865,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.6501880709296077,
1707
+ "grad_norm": 2.280921131796164,
1708
+ "learning_rate": 3.289899283371657e-06,
1709
+ "loss": 0.3905,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.6528747984954326,
1714
+ "grad_norm": 2.297801391720408,
1715
+ "learning_rate": 3.2458872325216893e-06,
1716
+ "loss": 0.3992,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.6555615260612574,
1721
+ "grad_norm": 2.2255966269222363,
1722
+ "learning_rate": 3.202029629984991e-06,
1723
+ "loss": 0.4012,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.6582482536270822,
1728
+ "grad_norm": 2.159969955127635,
1729
+ "learning_rate": 3.158330337390565e-06,
1730
+ "loss": 0.4008,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.6609349811929071,
1735
+ "grad_norm": 2.2717513219011636,
1736
+ "learning_rate": 3.1147932024283424e-06,
1737
+ "loss": 0.3915,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.6636217087587318,
1742
+ "grad_norm": 2.2223909448906247,
1743
+ "learning_rate": 3.071422058510394e-06,
1744
+ "loss": 0.3918,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.6663084363245567,
1749
+ "grad_norm": 2.3054337829096294,
1750
+ "learning_rate": 3.0282207244334084e-06,
1751
+ "loss": 0.4009,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.6689951638903815,
1756
+ "grad_norm": 2.2290900583766677,
1757
+ "learning_rate": 2.9851930040424383e-06,
1758
+ "loss": 0.4068,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.6716818914562064,
1763
+ "grad_norm": 2.1757281052534303,
1764
+ "learning_rate": 2.9423426858959892e-06,
1765
+ "loss": 0.3882,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.6743686190220312,
1770
+ "grad_norm": 2.1885464432673314,
1771
+ "learning_rate": 2.8996735429324256e-06,
1772
+ "loss": 0.389,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.677055346587856,
1777
+ "grad_norm": 2.0896855258083464,
1778
+ "learning_rate": 2.8571893321377773e-06,
1779
+ "loss": 0.3856,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.6797420741536808,
1784
+ "grad_norm": 2.313353541234272,
1785
+ "learning_rate": 2.8148937942149347e-06,
1786
+ "loss": 0.392,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.6824288017195056,
1791
+ "grad_norm": 2.3338524034127346,
1792
+ "learning_rate": 2.7727906532542783e-06,
1793
+ "loss": 0.3869,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.6851155292853305,
1798
+ "grad_norm": 2.084691037407018,
1799
+ "learning_rate": 2.7308836164057913e-06,
1800
+ "loss": 0.3826,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.6878022568511553,
1805
+ "grad_norm": 2.324796342452183,
1806
+ "learning_rate": 2.6891763735526223e-06,
1807
+ "loss": 0.3871,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.6904889844169801,
1812
+ "grad_norm": 2.160101574703143,
1813
+ "learning_rate": 2.6476725969862227e-06,
1814
+ "loss": 0.3728,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.6931757119828049,
1819
+ "grad_norm": 2.067721186262042,
1820
+ "learning_rate": 2.6063759410829813e-06,
1821
+ "loss": 0.3811,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.6958624395486298,
1826
+ "grad_norm": 2.4251135654528646,
1827
+ "learning_rate": 2.565290041982471e-06,
1828
+ "loss": 0.3884,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.6985491671144546,
1833
+ "grad_norm": 2.1893196908992123,
1834
+ "learning_rate": 2.524418517267283e-06,
1835
+ "loss": 0.3915,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.7012358946802795,
1840
+ "grad_norm": 2.1923809598940602,
1841
+ "learning_rate": 2.4837649656445117e-06,
1842
+ "loss": 0.3853,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.7039226222461042,
1847
+ "grad_norm": 2.2626797878823712,
1848
+ "learning_rate": 2.4433329666288774e-06,
1849
+ "loss": 0.3771,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.706609349811929,
1854
+ "grad_norm": 2.208206845682125,
1855
+ "learning_rate": 2.4031260802275623e-06,
1856
+ "loss": 0.3689,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.7092960773777539,
1861
+ "grad_norm": 2.18574695336372,
1862
+ "learning_rate": 2.3631478466267498e-06,
1863
+ "loss": 0.3728,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.7119828049435787,
1868
+ "grad_norm": 2.207451564888781,
1869
+ "learning_rate": 2.323401785879921e-06,
1870
+ "loss": 0.3758,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.7146695325094036,
1875
+ "grad_norm": 2.168655924857549,
1876
+ "learning_rate": 2.283891397597908e-06,
1877
+ "loss": 0.3672,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.7173562600752283,
1882
+ "grad_norm": 2.255193862061058,
1883
+ "learning_rate": 2.2446201606407537e-06,
1884
+ "loss": 0.3794,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.7200429876410532,
1889
+ "grad_norm": 2.2636128693117166,
1890
+ "learning_rate": 2.205591532811416e-06,
1891
+ "loss": 0.3742,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.722729715206878,
1896
+ "grad_norm": 2.1328893959069117,
1897
+ "learning_rate": 2.166808950551296e-06,
1898
+ "loss": 0.3778,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.7254164427727029,
1903
+ "grad_norm": 2.1602209025177705,
1904
+ "learning_rate": 2.128275828637664e-06,
1905
+ "loss": 0.3788,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.7281031703385277,
1910
+ "grad_norm": 2.28424029482692,
1911
+ "learning_rate": 2.089995559883004e-06,
1912
+ "loss": 0.371,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.7307898979043524,
1917
+ "grad_norm": 2.15439710916817,
1918
+ "learning_rate": 2.0519715148362585e-06,
1919
+ "loss": 0.3724,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.7334766254701773,
1924
+ "grad_norm": 2.1370354226282355,
1925
+ "learning_rate": 2.0142070414860704e-06,
1926
+ "loss": 0.3551,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.7361633530360021,
1931
+ "grad_norm": 2.1423156686501836,
1932
+ "learning_rate": 1.976705464965985e-06,
1933
+ "loss": 0.3817,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.738850080601827,
1938
+ "grad_norm": 2.1767372641376976,
1939
+ "learning_rate": 1.9394700872616856e-06,
1940
+ "loss": 0.3692,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.7415368081676518,
1945
+ "grad_norm": 2.1148705992310552,
1946
+ "learning_rate": 1.902504186920245e-06,
1947
+ "loss": 0.3701,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.7442235357334767,
1952
+ "grad_norm": 2.127192293566224,
1953
+ "learning_rate": 1.8658110187614538e-06,
1954
+ "loss": 0.3716,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.7469102632993014,
1959
+ "grad_norm": 2.1527774862898394,
1960
+ "learning_rate": 1.8293938135912475e-06,
1961
+ "loss": 0.3663,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.7495969908651263,
1966
+ "grad_norm": 2.3762653649020553,
1967
+ "learning_rate": 1.793255777917217e-06,
1968
+ "loss": 0.356,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.7522837184309511,
1973
+ "grad_norm": 2.0672220526784444,
1974
+ "learning_rate": 1.7574000936662928e-06,
1975
+ "loss": 0.3666,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.7549704459967759,
1980
+ "grad_norm": 2.131662760991029,
1981
+ "learning_rate": 1.7218299179045789e-06,
1982
+ "loss": 0.3777,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.7576571735626008,
1987
+ "grad_norm": 2.3447659932151423,
1988
+ "learning_rate": 1.6865483825593643e-06,
1989
+ "loss": 0.3718,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.7603439011284255,
1994
+ "grad_norm": 2.393514042224357,
1995
+ "learning_rate": 1.6515585941433694e-06,
1996
+ "loss": 0.3642,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.7630306286942504,
2001
+ "grad_norm": 2.3166220749115194,
2002
+ "learning_rate": 1.6168636334812126e-06,
2003
+ "loss": 0.3712,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.7657173562600752,
2008
+ "grad_norm": 2.1832693900107745,
2009
+ "learning_rate": 1.5824665554381579e-06,
2010
+ "loss": 0.3658,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.7684040838259001,
2015
+ "grad_norm": 2.0779160960958594,
2016
+ "learning_rate": 1.5483703886511191e-06,
2017
+ "loss": 0.3615,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.7710908113917249,
2022
+ "grad_norm": 2.098593414629146,
2023
+ "learning_rate": 1.5145781352620054e-06,
2024
+ "loss": 0.353,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.7737775389575497,
2029
+ "grad_norm": 2.1861074294439224,
2030
+ "learning_rate": 1.481092770653374e-06,
2031
+ "loss": 0.3599,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.7764642665233745,
2036
+ "grad_norm": 2.2448007733369923,
2037
+ "learning_rate": 1.4479172431864647e-06,
2038
+ "loss": 0.3548,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.7791509940891993,
2043
+ "grad_norm": 2.307957775652367,
2044
+ "learning_rate": 1.4150544739415755e-06,
2045
+ "loss": 0.3549,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.7818377216550242,
2050
+ "grad_norm": 2.1872047936836903,
2051
+ "learning_rate": 1.382507356460891e-06,
2052
+ "loss": 0.3533,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.784524449220849,
2057
+ "grad_norm": 2.1557683435766304,
2058
+ "learning_rate": 1.3502787564936875e-06,
2059
+ "loss": 0.3678,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.7872111767866738,
2064
+ "grad_norm": 2.088183401090359,
2065
+ "learning_rate": 1.3183715117440143e-06,
2066
+ "loss": 0.3452,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.7898979043524986,
2071
+ "grad_norm": 2.1559096637691195,
2072
+ "learning_rate": 1.2867884316208345e-06,
2073
+ "loss": 0.3605,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.7925846319183235,
2078
+ "grad_norm": 1.8737663503332451,
2079
+ "learning_rate": 1.255532296990662e-06,
2080
+ "loss": 0.3514,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.7952713594841483,
2085
+ "grad_norm": 2.196223751578153,
2086
+ "learning_rate": 1.2246058599327021e-06,
2087
+ "loss": 0.3511,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.7979580870499732,
2092
+ "grad_norm": 2.0822224737026294,
2093
+ "learning_rate": 1.194011843496537e-06,
2094
+ "loss": 0.3653,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.800644814615798,
2099
+ "grad_norm": 2.2216664507383457,
2100
+ "learning_rate": 1.163752941462362e-06,
2101
+ "loss": 0.3491,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.8033315421816228,
2106
+ "grad_norm": 2.259893004106475,
2107
+ "learning_rate": 1.1338318181038037e-06,
2108
+ "loss": 0.3495,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.8060182697474476,
2113
+ "grad_norm": 2.1666650973142687,
2114
+ "learning_rate": 1.1042511079533275e-06,
2115
+ "loss": 0.3611,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.8087049973132724,
2120
+ "grad_norm": 2.2659364719554898,
2121
+ "learning_rate": 1.0750134155702674e-06,
2122
+ "loss": 0.3626,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.8113917248790973,
2127
+ "grad_norm": 2.108890981344199,
2128
+ "learning_rate": 1.046121315311508e-06,
2129
+ "loss": 0.3522,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.814078452444922,
2134
+ "grad_norm": 1.9553754507307322,
2135
+ "learning_rate": 1.017577351104801e-06,
2136
+ "loss": 0.3491,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.8167651800107469,
2141
+ "grad_norm": 2.042354110902273,
2142
+ "learning_rate": 9.893840362247809e-07,
2143
+ "loss": 0.3489,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.8194519075765717,
2148
+ "grad_norm": 2.1701934651234613,
2149
+ "learning_rate": 9.615438530716753e-07,
2150
+ "loss": 0.3556,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.8221386351423966,
2155
+ "grad_norm": 2.298551493046633,
2156
+ "learning_rate": 9.340592529527237e-07,
2157
+ "loss": 0.3533,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.8248253627082214,
2162
+ "grad_norm": 2.0661919944679656,
2163
+ "learning_rate": 9.069326558663488e-07,
2164
+ "loss": 0.3504,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.8275120902740463,
2169
+ "grad_norm": 2.238182054477219,
2170
+ "learning_rate": 8.801664502890722e-07,
2171
+ "loss": 0.3583,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.830198817839871,
2176
+ "grad_norm": 2.206073109503085,
2177
+ "learning_rate": 8.537629929652186e-07,
2178
+ "loss": 0.3493,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.8328855454056958,
2183
+ "grad_norm": 2.112920269926838,
2184
+ "learning_rate": 8.277246086993962e-07,
2185
+ "loss": 0.3485,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.8355722729715207,
2190
+ "grad_norm": 2.1091946693423824,
2191
+ "learning_rate": 8.02053590151805e-07,
2192
+ "loss": 0.3602,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.8382590005373455,
2197
+ "grad_norm": 2.0674911667909592,
2198
+ "learning_rate": 7.767521976363735e-07,
2199
+ "loss": 0.344,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 0.8409457281031704,
2204
+ "grad_norm": 2.094630956022192,
2205
+ "learning_rate": 7.518226589217286e-07,
2206
+ "loss": 0.3555,
2207
+ "step": 1565
2208
+ },
2209
+ {
2210
+ "epoch": 0.8436324556689951,
2211
+ "grad_norm": 1.9871731688863412,
2212
+ "learning_rate": 7.27267169035053e-07,
2213
+ "loss": 0.3446,
2214
+ "step": 1570
2215
+ },
2216
+ {
2217
+ "epoch": 0.84631918323482,
2218
+ "grad_norm": 1.9968082439337067,
2219
+ "learning_rate": 7.030878900688115e-07,
2220
+ "loss": 0.3453,
2221
+ "step": 1575
2222
+ },
2223
+ {
2224
+ "epoch": 0.8490059108006448,
2225
+ "grad_norm": 2.0534061294688435,
2226
+ "learning_rate": 6.792869509903777e-07,
2227
+ "loss": 0.3471,
2228
+ "step": 1580
2229
+ },
2230
+ {
2231
+ "epoch": 0.8516926383664697,
2232
+ "grad_norm": 2.06210125589499,
2233
+ "learning_rate": 6.558664474545817e-07,
2234
+ "loss": 0.3395,
2235
+ "step": 1585
2236
+ },
2237
+ {
2238
+ "epoch": 0.8543793659322945,
2239
+ "grad_norm": 1.9567313896707874,
2240
+ "learning_rate": 6.328284416191893e-07,
2241
+ "loss": 0.3401,
2242
+ "step": 1590
2243
+ },
2244
+ {
2245
+ "epoch": 0.8570660934981192,
2246
+ "grad_norm": 2.060413092979503,
2247
+ "learning_rate": 6.101749619633346e-07,
2248
+ "loss": 0.3394,
2249
+ "step": 1595
2250
+ },
2251
+ {
2252
+ "epoch": 0.8597528210639441,
2253
+ "grad_norm": 2.1887059434963603,
2254
+ "learning_rate": 5.879080031089047e-07,
2255
+ "loss": 0.3543,
2256
+ "step": 1600
2257
+ },
2258
+ {
2259
+ "epoch": 0.8624395486297689,
2260
+ "grad_norm": 1.9845082909122282,
2261
+ "learning_rate": 5.660295256449233e-07,
2262
+ "loss": 0.3389,
2263
+ "step": 1605
2264
+ },
2265
+ {
2266
+ "epoch": 0.8651262761955938,
2267
+ "grad_norm": 2.3356240543268414,
2268
+ "learning_rate": 5.445414559549167e-07,
2269
+ "loss": 0.3403,
2270
+ "step": 1610
2271
+ },
2272
+ {
2273
+ "epoch": 0.8678130037614186,
2274
+ "grad_norm": 2.2880237510434123,
2275
+ "learning_rate": 5.234456860473042e-07,
2276
+ "loss": 0.333,
2277
+ "step": 1615
2278
+ },
2279
+ {
2280
+ "epoch": 0.8704997313272435,
2281
+ "grad_norm": 1.987792837037979,
2282
+ "learning_rate": 5.027440733887973e-07,
2283
+ "loss": 0.3413,
2284
+ "step": 1620
2285
+ },
2286
+ {
2287
+ "epoch": 0.8731864588930682,
2288
+ "grad_norm": 2.145351742840335,
2289
+ "learning_rate": 4.824384407408622e-07,
2290
+ "loss": 0.3419,
2291
+ "step": 1625
2292
+ },
2293
+ {
2294
+ "epoch": 0.8758731864588931,
2295
+ "grad_norm": 2.0454741447896034,
2296
+ "learning_rate": 4.625305759992205e-07,
2297
+ "loss": 0.3446,
2298
+ "step": 1630
2299
+ },
2300
+ {
2301
+ "epoch": 0.8785599140247179,
2302
+ "grad_norm": 2.3653559873352754,
2303
+ "learning_rate": 4.4302223203642803e-07,
2304
+ "loss": 0.3456,
2305
+ "step": 1635
2306
+ },
2307
+ {
2308
+ "epoch": 0.8812466415905427,
2309
+ "grad_norm": 1.9465586799987966,
2310
+ "learning_rate": 4.2391512654753443e-07,
2311
+ "loss": 0.3401,
2312
+ "step": 1640
2313
+ },
2314
+ {
2315
+ "epoch": 0.8839333691563676,
2316
+ "grad_norm": 2.0641483788200166,
2317
+ "learning_rate": 4.05210941898847e-07,
2318
+ "loss": 0.3444,
2319
+ "step": 1645
2320
+ },
2321
+ {
2322
+ "epoch": 0.8866200967221923,
2323
+ "grad_norm": 1.9634013461126347,
2324
+ "learning_rate": 3.8691132497979064e-07,
2325
+ "loss": 0.3262,
2326
+ "step": 1650
2327
+ },
2328
+ {
2329
+ "epoch": 0.8893068242880172,
2330
+ "grad_norm": 1.9771681166485953,
2331
+ "learning_rate": 3.6901788705790753e-07,
2332
+ "loss": 0.3339,
2333
+ "step": 1655
2334
+ },
2335
+ {
2336
+ "epoch": 0.891993551853842,
2337
+ "grad_norm": 2.0517920199325363,
2338
+ "learning_rate": 3.5153220363698225e-07,
2339
+ "loss": 0.3505,
2340
+ "step": 1660
2341
+ },
2342
+ {
2343
+ "epoch": 0.8946802794196669,
2344
+ "grad_norm": 1.9243621922759124,
2345
+ "learning_rate": 3.344558143183246e-07,
2346
+ "loss": 0.342,
2347
+ "step": 1665
2348
+ },
2349
+ {
2350
+ "epoch": 0.8973670069854917,
2351
+ "grad_norm": 1.9232396735880564,
2352
+ "learning_rate": 3.1779022266520245e-07,
2353
+ "loss": 0.347,
2354
+ "step": 1670
2355
+ },
2356
+ {
2357
+ "epoch": 0.9000537345513165,
2358
+ "grad_norm": 2.0661817058830305,
2359
+ "learning_rate": 3.015368960704584e-07,
2360
+ "loss": 0.3293,
2361
+ "step": 1675
2362
+ },
2363
+ {
2364
+ "epoch": 0.9027404621171413,
2365
+ "grad_norm": 2.1100704132509094,
2366
+ "learning_rate": 2.856972656273066e-07,
2367
+ "loss": 0.3331,
2368
+ "step": 1680
2369
+ },
2370
+ {
2371
+ "epoch": 0.9054271896829661,
2372
+ "grad_norm": 2.0718216201058444,
2373
+ "learning_rate": 2.7027272600332443e-07,
2374
+ "loss": 0.3422,
2375
+ "step": 1685
2376
+ },
2377
+ {
2378
+ "epoch": 0.908113917248791,
2379
+ "grad_norm": 2.1084735618419246,
2380
+ "learning_rate": 2.5526463531765467e-07,
2381
+ "loss": 0.3453,
2382
+ "step": 1690
2383
+ },
2384
+ {
2385
+ "epoch": 0.9108006448146158,
2386
+ "grad_norm": 1.8503057057006569,
2387
+ "learning_rate": 2.4067431502142414e-07,
2388
+ "loss": 0.3369,
2389
+ "step": 1695
2390
+ },
2391
+ {
2392
+ "epoch": 0.9134873723804406,
2393
+ "grad_norm": 2.2410702930225437,
2394
+ "learning_rate": 2.2650304978138916e-07,
2395
+ "loss": 0.3422,
2396
+ "step": 1700
2397
+ },
2398
+ {
2399
+ "epoch": 0.9161740999462654,
2400
+ "grad_norm": 1.988010259435427,
2401
+ "learning_rate": 2.1275208736682262e-07,
2402
+ "loss": 0.3273,
2403
+ "step": 1705
2404
+ },
2405
+ {
2406
+ "epoch": 0.9188608275120903,
2407
+ "grad_norm": 2.162508541847929,
2408
+ "learning_rate": 1.9942263853964917e-07,
2409
+ "loss": 0.348,
2410
+ "step": 1710
2411
+ },
2412
+ {
2413
+ "epoch": 0.9215475550779151,
2414
+ "grad_norm": 2.173499113968412,
2415
+ "learning_rate": 1.8651587694783924e-07,
2416
+ "loss": 0.3366,
2417
+ "step": 1715
2418
+ },
2419
+ {
2420
+ "epoch": 0.92423428264374,
2421
+ "grad_norm": 1.9783121068716565,
2422
+ "learning_rate": 1.7403293902206851e-07,
2423
+ "loss": 0.3282,
2424
+ "step": 1720
2425
+ },
2426
+ {
2427
+ "epoch": 0.9269210102095647,
2428
+ "grad_norm": 1.8953184142427286,
2429
+ "learning_rate": 1.6197492387565629e-07,
2430
+ "loss": 0.3346,
2431
+ "step": 1725
2432
+ },
2433
+ {
2434
+ "epoch": 0.9296077377753896,
2435
+ "grad_norm": 2.0149463904024474,
2436
+ "learning_rate": 1.503428932077916e-07,
2437
+ "loss": 0.3457,
2438
+ "step": 1730
2439
+ },
2440
+ {
2441
+ "epoch": 0.9322944653412144,
2442
+ "grad_norm": 2.0287919597007447,
2443
+ "learning_rate": 1.3913787121004717e-07,
2444
+ "loss": 0.3301,
2445
+ "step": 1735
2446
+ },
2447
+ {
2448
+ "epoch": 0.9349811929070392,
2449
+ "grad_norm": 2.049509308073804,
2450
+ "learning_rate": 1.2836084447620466e-07,
2451
+ "loss": 0.3483,
2452
+ "step": 1740
2453
+ },
2454
+ {
2455
+ "epoch": 0.9376679204728641,
2456
+ "grad_norm": 2.0687381489986714,
2457
+ "learning_rate": 1.180127619153837e-07,
2458
+ "loss": 0.3296,
2459
+ "step": 1745
2460
+ },
2461
+ {
2462
+ "epoch": 0.9403546480386888,
2463
+ "grad_norm": 2.129632171046833,
2464
+ "learning_rate": 1.0809453466849029e-07,
2465
+ "loss": 0.3416,
2466
+ "step": 1750
2467
+ },
2468
+ {
2469
+ "epoch": 0.9430413756045137,
2470
+ "grad_norm": 1.940321140330739,
2471
+ "learning_rate": 9.860703602799281e-08,
2472
+ "loss": 0.344,
2473
+ "step": 1755
2474
+ },
2475
+ {
2476
+ "epoch": 0.9457281031703385,
2477
+ "grad_norm": 2.2300828043810434,
2478
+ "learning_rate": 8.955110136102952e-08,
2479
+ "loss": 0.3332,
2480
+ "step": 1760
2481
+ },
2482
+ {
2483
+ "epoch": 0.9484148307361634,
2484
+ "grad_norm": 2.039077625849431,
2485
+ "learning_rate": 8.092752803585513e-08,
2486
+ "loss": 0.3398,
2487
+ "step": 1765
2488
+ },
2489
+ {
2490
+ "epoch": 0.9511015583019882,
2491
+ "grad_norm": 1.9309466845356567,
2492
+ "learning_rate": 7.273707535162988e-08,
2493
+ "loss": 0.3345,
2494
+ "step": 1770
2495
+ },
2496
+ {
2497
+ "epoch": 0.9537882858678131,
2498
+ "grad_norm": 2.085038229808163,
2499
+ "learning_rate": 6.498046447156958e-08,
2500
+ "loss": 0.3413,
2501
+ "step": 1775
2502
+ },
2503
+ {
2504
+ "epoch": 0.9564750134336378,
2505
+ "grad_norm": 2.073268982177981,
2506
+ "learning_rate": 5.7658378359443104e-08,
2507
+ "loss": 0.3389,
2508
+ "step": 1780
2509
+ },
2510
+ {
2511
+ "epoch": 0.9591617409994626,
2512
+ "grad_norm": 2.1191914780783185,
2513
+ "learning_rate": 5.077146171943936e-08,
2514
+ "loss": 0.3301,
2515
+ "step": 1785
2516
+ },
2517
+ {
2518
+ "epoch": 0.9618484685652875,
2519
+ "grad_norm": 2.0695293690655494,
2520
+ "learning_rate": 4.432032093940219e-08,
2521
+ "loss": 0.3387,
2522
+ "step": 1790
2523
+ },
2524
+ {
2525
+ "epoch": 0.9645351961311123,
2526
+ "grad_norm": 2.181866235925443,
2527
+ "learning_rate": 3.8305524037438035e-08,
2528
+ "loss": 0.3327,
2529
+ "step": 1795
2530
+ },
2531
+ {
2532
+ "epoch": 0.9672219236969372,
2533
+ "grad_norm": 2.0829327323896742,
2534
+ "learning_rate": 3.27276006119015e-08,
2535
+ "loss": 0.3269,
2536
+ "step": 1800
2537
+ },
2538
+ {
2539
+ "epoch": 0.9699086512627619,
2540
+ "grad_norm": 2.0402878486865084,
2541
+ "learning_rate": 2.7587041794766012e-08,
2542
+ "loss": 0.3428,
2543
+ "step": 1805
2544
+ },
2545
+ {
2546
+ "epoch": 0.9725953788285868,
2547
+ "grad_norm": 2.1613154681131386,
2548
+ "learning_rate": 2.2884300208378395e-08,
2549
+ "loss": 0.3389,
2550
+ "step": 1810
2551
+ },
2552
+ {
2553
+ "epoch": 0.9752821063944116,
2554
+ "grad_norm": 2.190787226227149,
2555
+ "learning_rate": 1.8619789925608534e-08,
2556
+ "loss": 0.3487,
2557
+ "step": 1815
2558
+ },
2559
+ {
2560
+ "epoch": 0.9779688339602365,
2561
+ "grad_norm": 1.9274721887684194,
2562
+ "learning_rate": 1.4793886433387417e-08,
2563
+ "loss": 0.3248,
2564
+ "step": 1820
2565
+ },
2566
+ {
2567
+ "epoch": 0.9806555615260613,
2568
+ "grad_norm": 2.0401602016541296,
2569
+ "learning_rate": 1.1406926599646373e-08,
2570
+ "loss": 0.3378,
2571
+ "step": 1825
2572
+ },
2573
+ {
2574
+ "epoch": 0.983342289091886,
2575
+ "grad_norm": 1.9245890826575305,
2576
+ "learning_rate": 8.459208643659122e-09,
2577
+ "loss": 0.3301,
2578
+ "step": 1830
2579
+ },
2580
+ {
2581
+ "epoch": 0.9860290166577109,
2582
+ "grad_norm": 2.145271841454969,
2583
+ "learning_rate": 5.950992109779452e-09,
2584
+ "loss": 0.3337,
2585
+ "step": 1835
2586
+ },
2587
+ {
2588
+ "epoch": 0.9887157442235357,
2589
+ "grad_norm": 2.102840117283832,
2590
+ "learning_rate": 3.88249784459227e-09,
2591
+ "loss": 0.3436,
2592
+ "step": 1840
2593
+ },
2594
+ {
2595
+ "epoch": 0.9914024717893606,
2596
+ "grad_norm": 1.8642178563070946,
2597
+ "learning_rate": 2.2539079774658303e-09,
2598
+ "loss": 0.3346,
2599
+ "step": 1845
2600
+ },
2601
+ {
2602
+ "epoch": 0.9940891993551854,
2603
+ "grad_norm": 2.0754130978586462,
2604
+ "learning_rate": 1.0653659045156695e-09,
2605
+ "loss": 0.323,
2606
+ "step": 1850
2607
+ },
2608
+ {
2609
+ "epoch": 0.9967759269210102,
2610
+ "grad_norm": 2.1177194452551293,
2611
+ "learning_rate": 3.1697627597970794e-10,
2612
+ "loss": 0.3273,
2613
+ "step": 1855
2614
+ },
2615
+ {
2616
+ "epoch": 0.999462654486835,
2617
+ "grad_norm": 2.036609175873343,
2618
+ "learning_rate": 8.804987003951937e-12,
2619
+ "loss": 0.3344,
2620
+ "step": 1860
2621
+ },
2622
+ {
2623
+ "epoch": 1.0,
2624
+ "eval_runtime": 3.3729,
2625
+ "eval_samples_per_second": 2.965,
2626
+ "eval_steps_per_second": 0.889,
2627
+ "step": 1861
2628
+ },
2629
+ {
2630
+ "epoch": 1.0,
2631
+ "step": 1861,
2632
+ "total_flos": 194827769610240.0,
2633
+ "train_loss": 0.5009698675307838,
2634
+ "train_runtime": 16706.09,
2635
+ "train_samples_per_second": 1.782,
2636
+ "train_steps_per_second": 0.111
2637
+ }
2638
+ ],
2639
+ "logging_steps": 5,
2640
+ "max_steps": 1861,
2641
+ "num_input_tokens_seen": 0,
2642
+ "num_train_epochs": 1,
2643
+ "save_steps": 100,
2644
+ "stateful_callbacks": {
2645
+ "TrainerControl": {
2646
+ "args": {
2647
+ "should_epoch_stop": false,
2648
+ "should_evaluate": false,
2649
+ "should_log": false,
2650
+ "should_save": true,
2651
+ "should_training_stop": true
2652
+ },
2653
+ "attributes": {}
2654
+ }
2655
+ },
2656
+ "total_flos": 194827769610240.0,
2657
+ "train_batch_size": 4,
2658
+ "trial_name": null,
2659
+ "trial_params": null
2660
+ }