Hugging Face's logo

obiwit
/
gemma-3-4b-sft-full

Text Generation
Transformers
Safetensors
gemma3_text
Generated from Trainer
trl
sft
conversational
text-generation-inference
Model card Files
xet
 Community
obiwit commited on
Commit
eb2cd80
·
verified ·
1 Parent(s): d5be5ef

Model save

Browse files
Files changed (7) hide show
  1. README.md +57 -0
  2. all_results.json +9 -0
  3. generation_config.json +13 -0
  4. model-00001-of-00002.safetensors +1 -1
  5. model-00002-of-00002.safetensors +1 -1
  6. train_results.json +9 -0
  7. trainer_state.json +2328 -0
README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: google/gemma-3-4b-pt
3
+ library_name: transformers
4
+ model_name: gemma-3-4b-sft-full
5
+ tags:
6
+ - generated_from_trainer
7
+ - trl
8
+ - sft
9
+ licence: license
10
+ ---
11
+
12
+ # Model Card for gemma-3-4b-sft-full
13
+
14
+ This model is a fine-tuned version of [google/gemma-3-4b-pt](https://huggingface.co/google/gemma-3-4b-pt).
15
+ It has been trained using [TRL](https://github.com/huggingface/trl).
16
+
17
+ ## Quick start
18
+
19
+ ```python
20
+ from transformers import pipeline
21
+
22
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
23
+ generator = pipeline("text-generation", model="obiwit/gemma-3-4b-sft-full", device="cuda")
24
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
25
+ print(output["generated_text"])
26
+ ```
27
+
28
+ ## Training procedure
29
+
30
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/bborges/L3-8B_preferences/runs/tvflz42t)
31
+
32
+ This model was trained with SFT.
33
+
34
+ ### Framework versions
35
+
36
+ - TRL: 0.12.2
37
+ - Transformers: 4.51.0.dev0
38
+ - Pytorch: 2.1.2+cu121
39
+ - Datasets: 3.1.0
40
+ - Tokenizers: 0.21.1
41
+
42
+ ## Citations
43
+
44
+
45
+
46
+ Cite TRL as:
47
+
48
+ ```bibtex
49
+ @misc{vonwerra2022trl,
50
+ title = {{TRL: Transformer Reinforcement Learning}},
51
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
52
+ year = 2020,
53
+ journal = {GitHub repository},
54
+ publisher = {GitHub},
55
+ howpublished = {\url{https://github.com/huggingface/trl}}
56
+ }
57
+ ```
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 1137765022433280.0,
4
+ "train_loss": 0.3699118922533273,
5
+ "train_runtime": 20589.7922,
6
+ "train_samples": 164653,
7
+ "train_samples_per_second": 24.417,
8
+ "train_steps_per_second": 0.763
9
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 2,
3
+ "cache_implementation": "hybrid",
4
+ "do_sample": true,
5
+ "eos_token_id": [
6
+ 1,
7
+ 106
8
+ ],
9
+ "pad_token_id": 0,
10
+ "top_k": 64,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.51.0.dev0"
13
+ }
model-00001-of-00002.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1cf7df42415b643f775162a5a675fde22755aaf6e933ce2a3032842e29716517
3
  size 4960531344
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a3c14f3824b5d91359fc72f690d5e3a2f4a5a78f8124e8ecfe29f2bd53cebfe
3
  size 4960531344
model-00002-of-00002.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a3f325d55e3e41b29db30ae72926d517fa9d9bcaa5c267bd4f0422b256560476
3
  size 2800046672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:904b16aa6877bed5a132dcdc335094c86f9873a2f98a7b1c73a9640e582f37c5
3
  size 2800046672
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 1137765022433280.0,
4
+ "train_loss": 0.3699118922533273,
5
+ "train_runtime": 20589.7922,
6
+ "train_samples": 164653,
7
+ "train_samples_per_second": 24.417,
8
+ "train_steps_per_second": 0.763
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,2328 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 3144,
3
+ "best_metric": 1.1658307313919067,
4
+ "best_model_checkpoint": "models/gemma-3-4b-sft-full/checkpoint-3144",
5
+ "epoch": 10.0,
6
+ "eval_steps": 500,
7
+ "global_step": 15720,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0006361323155216285,
14
+ "grad_norm": 31.319606519809206,
15
+ "learning_rate": 1.2722646310432571e-08,
16
+ "loss": 2.0248,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.031806615776081425,
21
+ "grad_norm": 13.2120799093862,
22
+ "learning_rate": 6.361323155216286e-07,
23
+ "loss": 1.9103,
24
+ "step": 50
25
+ },
26
+ {
27
+ "epoch": 0.06361323155216285,
28
+ "grad_norm": 2.8305292907887694,
29
+ "learning_rate": 1.2722646310432571e-06,
30
+ "loss": 1.4434,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.09541984732824428,
35
+ "grad_norm": 2.3110831279704738,
36
+ "learning_rate": 1.908396946564886e-06,
37
+ "loss": 1.3196,
38
+ "step": 150
39
+ },
40
+ {
41
+ "epoch": 0.1272264631043257,
42
+ "grad_norm": 2.3096762225567056,
43
+ "learning_rate": 2.5445292620865143e-06,
44
+ "loss": 1.3039,
45
+ "step": 200
46
+ },
47
+ {
48
+ "epoch": 0.15903307888040713,
49
+ "grad_norm": 2.2782572106396306,
50
+ "learning_rate": 3.1806615776081427e-06,
51
+ "loss": 1.2618,
52
+ "step": 250
53
+ },
54
+ {
55
+ "epoch": 0.19083969465648856,
56
+ "grad_norm": 2.2420875359580132,
57
+ "learning_rate": 3.816793893129772e-06,
58
+ "loss": 1.2501,
59
+ "step": 300
60
+ },
61
+ {
62
+ "epoch": 0.22264631043256997,
63
+ "grad_norm": 2.0330974831105215,
64
+ "learning_rate": 4.4529262086514e-06,
65
+ "loss": 1.2541,
66
+ "step": 350
67
+ },
68
+ {
69
+ "epoch": 0.2544529262086514,
70
+ "grad_norm": 2.1026569258639043,
71
+ "learning_rate": 5.0890585241730285e-06,
72
+ "loss": 1.2278,
73
+ "step": 400
74
+ },
75
+ {
76
+ "epoch": 0.2862595419847328,
77
+ "grad_norm": 2.0803892623652196,
78
+ "learning_rate": 5.725190839694656e-06,
79
+ "loss": 1.2173,
80
+ "step": 450
81
+ },
82
+ {
83
+ "epoch": 0.31806615776081426,
84
+ "grad_norm": 2.5887368846264684,
85
+ "learning_rate": 6.3613231552162854e-06,
86
+ "loss": 1.2241,
87
+ "step": 500
88
+ },
89
+ {
90
+ "epoch": 0.34987277353689566,
91
+ "grad_norm": 1.8616362535769346,
92
+ "learning_rate": 6.997455470737914e-06,
93
+ "loss": 1.1954,
94
+ "step": 550
95
+ },
96
+ {
97
+ "epoch": 0.3816793893129771,
98
+ "grad_norm": 2.2198054581544153,
99
+ "learning_rate": 7.633587786259543e-06,
100
+ "loss": 1.2207,
101
+ "step": 600
102
+ },
103
+ {
104
+ "epoch": 0.41348600508905853,
105
+ "grad_norm": 1.9458297082843083,
106
+ "learning_rate": 8.26972010178117e-06,
107
+ "loss": 1.2104,
108
+ "step": 650
109
+ },
110
+ {
111
+ "epoch": 0.44529262086513993,
112
+ "grad_norm": 1.754441697698081,
113
+ "learning_rate": 8.9058524173028e-06,
114
+ "loss": 1.1954,
115
+ "step": 700
116
+ },
117
+ {
118
+ "epoch": 0.4770992366412214,
119
+ "grad_norm": 1.9516730885650273,
120
+ "learning_rate": 9.54198473282443e-06,
121
+ "loss": 1.1962,
122
+ "step": 750
123
+ },
124
+ {
125
+ "epoch": 0.5089058524173028,
126
+ "grad_norm": 1.8788578410476755,
127
+ "learning_rate": 1.0178117048346057e-05,
128
+ "loss": 1.1955,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 0.5407124681933843,
133
+ "grad_norm": 1.7660250423975214,
134
+ "learning_rate": 1.0814249363867686e-05,
135
+ "loss": 1.2029,
136
+ "step": 850
137
+ },
138
+ {
139
+ "epoch": 0.5725190839694656,
140
+ "grad_norm": 1.7319081555721738,
141
+ "learning_rate": 1.1450381679389312e-05,
142
+ "loss": 1.201,
143
+ "step": 900
144
+ },
145
+ {
146
+ "epoch": 0.6043256997455471,
147
+ "grad_norm": 1.7433405435098388,
148
+ "learning_rate": 1.2086513994910942e-05,
149
+ "loss": 1.1945,
150
+ "step": 950
151
+ },
152
+ {
153
+ "epoch": 0.6361323155216285,
154
+ "grad_norm": 1.6584922549922605,
155
+ "learning_rate": 1.2722646310432571e-05,
156
+ "loss": 1.188,
157
+ "step": 1000
158
+ },
159
+ {
160
+ "epoch": 0.6679389312977099,
161
+ "grad_norm": 1.694934894298546,
162
+ "learning_rate": 1.3358778625954198e-05,
163
+ "loss": 1.1853,
164
+ "step": 1050
165
+ },
166
+ {
167
+ "epoch": 0.6997455470737913,
168
+ "grad_norm": 1.8972752727827624,
169
+ "learning_rate": 1.3994910941475828e-05,
170
+ "loss": 1.1796,
171
+ "step": 1100
172
+ },
173
+ {
174
+ "epoch": 0.7315521628498728,
175
+ "grad_norm": 1.7794214888108801,
176
+ "learning_rate": 1.4631043256997457e-05,
177
+ "loss": 1.1879,
178
+ "step": 1150
179
+ },
180
+ {
181
+ "epoch": 0.7633587786259542,
182
+ "grad_norm": 1.7080167758006621,
183
+ "learning_rate": 1.5267175572519086e-05,
184
+ "loss": 1.2033,
185
+ "step": 1200
186
+ },
187
+ {
188
+ "epoch": 0.7951653944020356,
189
+ "grad_norm": 1.6732561680746716,
190
+ "learning_rate": 1.5903307888040712e-05,
191
+ "loss": 1.1729,
192
+ "step": 1250
193
+ },
194
+ {
195
+ "epoch": 0.8269720101781171,
196
+ "grad_norm": 2.0115920286242472,
197
+ "learning_rate": 1.653944020356234e-05,
198
+ "loss": 1.1798,
199
+ "step": 1300
200
+ },
201
+ {
202
+ "epoch": 0.8587786259541985,
203
+ "grad_norm": 1.5883913583214553,
204
+ "learning_rate": 1.717557251908397e-05,
205
+ "loss": 1.1761,
206
+ "step": 1350
207
+ },
208
+ {
209
+ "epoch": 0.8905852417302799,
210
+ "grad_norm": 1.5615231326127277,
211
+ "learning_rate": 1.78117048346056e-05,
212
+ "loss": 1.1807,
213
+ "step": 1400
214
+ },
215
+ {
216
+ "epoch": 0.9223918575063613,
217
+ "grad_norm": 1.6052692336601109,
218
+ "learning_rate": 1.844783715012723e-05,
219
+ "loss": 1.1872,
220
+ "step": 1450
221
+ },
222
+ {
223
+ "epoch": 0.9541984732824428,
224
+ "grad_norm": 1.6293394603925617,
225
+ "learning_rate": 1.908396946564886e-05,
226
+ "loss": 1.1821,
227
+ "step": 1500
228
+ },
229
+ {
230
+ "epoch": 0.9860050890585241,
231
+ "grad_norm": 1.9511097309507746,
232
+ "learning_rate": 1.9720101781170485e-05,
233
+ "loss": 1.193,
234
+ "step": 1550
235
+ },
236
+ {
237
+ "epoch": 1.0,
238
+ "eval_loss": 1.1915197372436523,
239
+ "eval_runtime": 50.604,
240
+ "eval_samples_per_second": 55.45,
241
+ "eval_steps_per_second": 1.739,
242
+ "step": 1572
243
+ },
244
+ {
245
+ "epoch": 1.0178117048346056,
246
+ "grad_norm": 1.699246916566911,
247
+ "learning_rate": 1.9999806716709255e-05,
248
+ "loss": 1.0668,
249
+ "step": 1600
250
+ },
251
+ {
252
+ "epoch": 1.049618320610687,
253
+ "grad_norm": 1.6215378174021484,
254
+ "learning_rate": 1.999850011488216e-05,
255
+ "loss": 0.9829,
256
+ "step": 1650
257
+ },
258
+ {
259
+ "epoch": 1.0814249363867685,
260
+ "grad_norm": 1.7868804206457551,
261
+ "learning_rate": 1.9995961032584046e-05,
262
+ "loss": 0.9782,
263
+ "step": 1700
264
+ },
265
+ {
266
+ "epoch": 1.11323155216285,
267
+ "grad_norm": 1.824863693326858,
268
+ "learning_rate": 1.9992189782798795e-05,
269
+ "loss": 0.9649,
270
+ "step": 1750
271
+ },
272
+ {
273
+ "epoch": 1.1450381679389312,
274
+ "grad_norm": 1.9389315988555975,
275
+ "learning_rate": 1.99871868303953e-05,
276
+ "loss": 0.9859,
277
+ "step": 1800
278
+ },
279
+ {
280
+ "epoch": 1.1768447837150127,
281
+ "grad_norm": 1.8613552819265144,
282
+ "learning_rate": 1.9980952792070175e-05,
283
+ "loss": 0.97,
284
+ "step": 1850
285
+ },
286
+ {
287
+ "epoch": 1.2086513994910941,
288
+ "grad_norm": 1.6290767219311002,
289
+ "learning_rate": 1.9973488436271728e-05,
290
+ "loss": 0.9898,
291
+ "step": 1900
292
+ },
293
+ {
294
+ "epoch": 1.2404580152671756,
295
+ "grad_norm": 1.9280005053128177,
296
+ "learning_rate": 1.996479468310524e-05,
297
+ "loss": 0.977,
298
+ "step": 1950
299
+ },
300
+ {
301
+ "epoch": 1.272264631043257,
302
+ "grad_norm": 1.8021715712875992,
303
+ "learning_rate": 1.9954872604219543e-05,
304
+ "loss": 0.9778,
305
+ "step": 2000
306
+ },
307
+ {
308
+ "epoch": 1.3040712468193385,
309
+ "grad_norm": 1.778983300178611,
310
+ "learning_rate": 1.994372342267493e-05,
311
+ "loss": 0.9754,
312
+ "step": 2050
313
+ },
314
+ {
315
+ "epoch": 1.33587786259542,
316
+ "grad_norm": 1.6139758020504216,
317
+ "learning_rate": 1.993134851279238e-05,
318
+ "loss": 0.9768,
319
+ "step": 2100
320
+ },
321
+ {
322
+ "epoch": 1.3676844783715012,
323
+ "grad_norm": 1.6159993769878525,
324
+ "learning_rate": 1.991774939998417e-05,
325
+ "loss": 0.977,
326
+ "step": 2150
327
+ },
328
+ {
329
+ "epoch": 1.3994910941475827,
330
+ "grad_norm": 1.7346584119107982,
331
+ "learning_rate": 1.9902927760565824e-05,
332
+ "loss": 1.0021,
333
+ "step": 2200
334
+ },
335
+ {
336
+ "epoch": 1.4312977099236641,
337
+ "grad_norm": 1.6348257679838059,
338
+ "learning_rate": 1.988688542154948e-05,
339
+ "loss": 0.9911,
340
+ "step": 2250
341
+ },
342
+ {
343
+ "epoch": 1.4631043256997456,
344
+ "grad_norm": 2.005161271222442,
345
+ "learning_rate": 1.98696243604187e-05,
346
+ "loss": 0.98,
347
+ "step": 2300
348
+ },
349
+ {
350
+ "epoch": 1.494910941475827,
351
+ "grad_norm": 1.6947935478149847,
352
+ "learning_rate": 1.9851146704884684e-05,
353
+ "loss": 0.9933,
354
+ "step": 2350
355
+ },
356
+ {
357
+ "epoch": 1.5267175572519083,
358
+ "grad_norm": 1.559288613818951,
359
+ "learning_rate": 1.9831454732624023e-05,
360
+ "loss": 0.9812,
361
+ "step": 2400
362
+ },
363
+ {
364
+ "epoch": 1.55852417302799,
365
+ "grad_norm": 1.6147458399643977,
366
+ "learning_rate": 1.9810550870997914e-05,
367
+ "loss": 0.9829,
368
+ "step": 2450
369
+ },
370
+ {
371
+ "epoch": 1.5903307888040712,
372
+ "grad_norm": 1.7200525728774254,
373
+ "learning_rate": 1.9788437696752965e-05,
374
+ "loss": 0.9827,
375
+ "step": 2500
376
+ },
377
+ {
378
+ "epoch": 1.6221374045801527,
379
+ "grad_norm": 1.5679464105011003,
380
+ "learning_rate": 1.9765117935703556e-05,
381
+ "loss": 0.9918,
382
+ "step": 2550
383
+ },
384
+ {
385
+ "epoch": 1.6539440203562341,
386
+ "grad_norm": 1.5684761038610553,
387
+ "learning_rate": 1.9740594462395844e-05,
388
+ "loss": 1.0035,
389
+ "step": 2600
390
+ },
391
+ {
392
+ "epoch": 1.6857506361323156,
393
+ "grad_norm": 1.6525710526384763,
394
+ "learning_rate": 1.9714870299753425e-05,
395
+ "loss": 0.9757,
396
+ "step": 2650
397
+ },
398
+ {
399
+ "epoch": 1.717557251908397,
400
+ "grad_norm": 1.61635439544328,
401
+ "learning_rate": 1.9687948618704713e-05,
402
+ "loss": 0.9878,
403
+ "step": 2700
404
+ },
405
+ {
406
+ "epoch": 1.7493638676844783,
407
+ "grad_norm": 1.552931766301823,
408
+ "learning_rate": 1.9659832737792065e-05,
409
+ "loss": 0.9926,
410
+ "step": 2750
411
+ },
412
+ {
413
+ "epoch": 1.78117048346056,
414
+ "grad_norm": 1.7462958660917196,
415
+ "learning_rate": 1.963052612276272e-05,
416
+ "loss": 0.9923,
417
+ "step": 2800
418
+ },
419
+ {
420
+ "epoch": 1.8129770992366412,
421
+ "grad_norm": 1.541467107392074,
422
+ "learning_rate": 1.9600032386141578e-05,
423
+ "loss": 0.9883,
424
+ "step": 2850
425
+ },
426
+ {
427
+ "epoch": 1.8447837150127226,
428
+ "grad_norm": 1.60142808575721,
429
+ "learning_rate": 1.9568355286785916e-05,
430
+ "loss": 0.9848,
431
+ "step": 2900
432
+ },
433
+ {
434
+ "epoch": 1.876590330788804,
435
+ "grad_norm": 1.628212808465854,
436
+ "learning_rate": 1.9535498729422034e-05,
437
+ "loss": 0.981,
438
+ "step": 2950
439
+ },
440
+ {
441
+ "epoch": 1.9083969465648853,
442
+ "grad_norm": 1.589079219019998,
443
+ "learning_rate": 1.950146676416393e-05,
444
+ "loss": 0.9938,
445
+ "step": 3000
446
+ },
447
+ {
448
+ "epoch": 1.940203562340967,
449
+ "grad_norm": 1.5927647305457868,
450
+ "learning_rate": 1.9466263586014062e-05,
451
+ "loss": 0.9831,
452
+ "step": 3050
453
+ },
454
+ {
455
+ "epoch": 1.9720101781170483,
456
+ "grad_norm": 1.6181088935396841,
457
+ "learning_rate": 1.9429893534346248e-05,
458
+ "loss": 0.9738,
459
+ "step": 3100
460
+ },
461
+ {
462
+ "epoch": 2.0,
463
+ "eval_loss": 1.1658307313919067,
464
+ "eval_runtime": 57.664,
465
+ "eval_samples_per_second": 48.661,
466
+ "eval_steps_per_second": 1.526,
467
+ "step": 3144
468
+ },
469
+ {
470
+ "epoch": 2.00381679389313,
471
+ "grad_norm": 2.8157430444252833,
472
+ "learning_rate": 1.9392361092370756e-05,
473
+ "loss": 0.9372,
474
+ "step": 3150
475
+ },
476
+ {
477
+ "epoch": 2.035623409669211,
478
+ "grad_norm": 1.8202205896718766,
479
+ "learning_rate": 1.9353670886581683e-05,
480
+ "loss": 0.6118,
481
+ "step": 3200
482
+ },
483
+ {
484
+ "epoch": 2.0674300254452924,
485
+ "grad_norm": 1.8024719083066718,
486
+ "learning_rate": 1.9313827686186664e-05,
487
+ "loss": 0.5956,
488
+ "step": 3250
489
+ },
490
+ {
491
+ "epoch": 2.099236641221374,
492
+ "grad_norm": 1.8065831151097012,
493
+ "learning_rate": 1.927283640251898e-05,
494
+ "loss": 0.615,
495
+ "step": 3300
496
+ },
497
+ {
498
+ "epoch": 2.1310432569974553,
499
+ "grad_norm": 1.93182684100521,
500
+ "learning_rate": 1.923070208843216e-05,
501
+ "loss": 0.6079,
502
+ "step": 3350
503
+ },
504
+ {
505
+ "epoch": 2.162849872773537,
506
+ "grad_norm": 1.8738788734317153,
507
+ "learning_rate": 1.9187429937677136e-05,
508
+ "loss": 0.607,
509
+ "step": 3400
510
+ },
511
+ {
512
+ "epoch": 2.1946564885496183,
513
+ "grad_norm": 1.8040300513160983,
514
+ "learning_rate": 1.9143025284262022e-05,
515
+ "loss": 0.6085,
516
+ "step": 3450
517
+ },
518
+ {
519
+ "epoch": 2.2264631043257,
520
+ "grad_norm": 1.8986773569695647,
521
+ "learning_rate": 1.909749360179461e-05,
522
+ "loss": 0.6145,
523
+ "step": 3500
524
+ },
525
+ {
526
+ "epoch": 2.258269720101781,
527
+ "grad_norm": 1.9163165829127622,
528
+ "learning_rate": 1.9050840502807665e-05,
529
+ "loss": 0.6169,
530
+ "step": 3550
531
+ },
532
+ {
533
+ "epoch": 2.2900763358778624,
534
+ "grad_norm": 2.0342511222836657,
535
+ "learning_rate": 1.9003071738067073e-05,
536
+ "loss": 0.6181,
537
+ "step": 3600
538
+ },
539
+ {
540
+ "epoch": 2.321882951653944,
541
+ "grad_norm": 1.9022311954341746,
542
+ "learning_rate": 1.895419319586298e-05,
543
+ "loss": 0.6322,
544
+ "step": 3650
545
+ },
546
+ {
547
+ "epoch": 2.3536895674300253,
548
+ "grad_norm": 1.947735727576319,
549
+ "learning_rate": 1.890421090128395e-05,
550
+ "loss": 0.6261,
551
+ "step": 3700
552
+ },
553
+ {
554
+ "epoch": 2.385496183206107,
555
+ "grad_norm": 1.8908602175645888,
556
+ "learning_rate": 1.8853131015474278e-05,
557
+ "loss": 0.6241,
558
+ "step": 3750
559
+ },
560
+ {
561
+ "epoch": 2.4173027989821882,
562
+ "grad_norm": 1.8428847331642595,
563
+ "learning_rate": 1.8800959834874534e-05,
564
+ "loss": 0.6247,
565
+ "step": 3800
566
+ },
567
+ {
568
+ "epoch": 2.4491094147582695,
569
+ "grad_norm": 1.9386784496016072,
570
+ "learning_rate": 1.8747703790445412e-05,
571
+ "loss": 0.6369,
572
+ "step": 3850
573
+ },
574
+ {
575
+ "epoch": 2.480916030534351,
576
+ "grad_norm": 1.8110474855626102,
577
+ "learning_rate": 1.8693369446875008e-05,
578
+ "loss": 0.6352,
579
+ "step": 3900
580
+ },
581
+ {
582
+ "epoch": 2.5127226463104324,
583
+ "grad_norm": 1.8744360271519491,
584
+ "learning_rate": 1.8637963501769625e-05,
585
+ "loss": 0.6402,
586
+ "step": 3950
587
+ },
588
+ {
589
+ "epoch": 2.544529262086514,
590
+ "grad_norm": 1.858724398900357,
591
+ "learning_rate": 1.858149278482817e-05,
592
+ "loss": 0.6459,
593
+ "step": 4000
594
+ },
595
+ {
596
+ "epoch": 2.5763358778625953,
597
+ "grad_norm": 1.8627524401678055,
598
+ "learning_rate": 1.8523964257000288e-05,
599
+ "loss": 0.6276,
600
+ "step": 4050
601
+ },
602
+ {
603
+ "epoch": 2.608142493638677,
604
+ "grad_norm": 1.9220180062265788,
605
+ "learning_rate": 1.8465385009628308e-05,
606
+ "loss": 0.6481,
607
+ "step": 4100
608
+ },
609
+ {
610
+ "epoch": 2.6399491094147582,
611
+ "grad_norm": 1.9319620445548449,
612
+ "learning_rate": 1.8405762263573108e-05,
613
+ "loss": 0.6344,
614
+ "step": 4150
615
+ },
616
+ {
617
+ "epoch": 2.67175572519084,
618
+ "grad_norm": 1.8442743167506148,
619
+ "learning_rate": 1.834510336832405e-05,
620
+ "loss": 0.6418,
621
+ "step": 4200
622
+ },
623
+ {
624
+ "epoch": 2.703562340966921,
625
+ "grad_norm": 1.8919128966016239,
626
+ "learning_rate": 1.8283415801093007e-05,
627
+ "loss": 0.6455,
628
+ "step": 4250
629
+ },
630
+ {
631
+ "epoch": 2.7353689567430024,
632
+ "grad_norm": 1.79572731114352,
633
+ "learning_rate": 1.8220707165892682e-05,
634
+ "loss": 0.6474,
635
+ "step": 4300
636
+ },
637
+ {
638
+ "epoch": 2.767175572519084,
639
+ "grad_norm": 1.8916208552532916,
640
+ "learning_rate": 1.815698519259929e-05,
641
+ "loss": 0.6479,
642
+ "step": 4350
643
+ },
644
+ {
645
+ "epoch": 2.7989821882951653,
646
+ "grad_norm": 1.8754600469553322,
647
+ "learning_rate": 1.8092257735999734e-05,
648
+ "loss": 0.6549,
649
+ "step": 4400
650
+ },
651
+ {
652
+ "epoch": 2.830788804071247,
653
+ "grad_norm": 1.8972086051601613,
654
+ "learning_rate": 1.8026532774823343e-05,
655
+ "loss": 0.6397,
656
+ "step": 4450
657
+ },
658
+ {
659
+ "epoch": 2.8625954198473282,
660
+ "grad_norm": 1.8335920924146587,
661
+ "learning_rate": 1.7959818410758395e-05,
662
+ "loss": 0.6379,
663
+ "step": 4500
664
+ },
665
+ {
666
+ "epoch": 2.8944020356234095,
667
+ "grad_norm": 2.010899629666033,
668
+ "learning_rate": 1.789212286745342e-05,
669
+ "loss": 0.645,
670
+ "step": 4550
671
+ },
672
+ {
673
+ "epoch": 2.926208651399491,
674
+ "grad_norm": 1.854046640562392,
675
+ "learning_rate": 1.7823454489503526e-05,
676
+ "loss": 0.6491,
677
+ "step": 4600
678
+ },
679
+ {
680
+ "epoch": 2.9580152671755724,
681
+ "grad_norm": 1.9582134927711392,
682
+ "learning_rate": 1.775382174142177e-05,
683
+ "loss": 0.6542,
684
+ "step": 4650
685
+ },
686
+ {
687
+ "epoch": 2.989821882951654,
688
+ "grad_norm": 1.851650468210065,
689
+ "learning_rate": 1.768323320659578e-05,
690
+ "loss": 0.6542,
691
+ "step": 4700
692
+ },
693
+ {
694
+ "epoch": 3.0,
695
+ "eval_loss": 1.25302255153656,
696
+ "eval_runtime": 57.2963,
697
+ "eval_samples_per_second": 48.973,
698
+ "eval_steps_per_second": 1.536,
699
+ "step": 4716
700
+ },
701
+ {
702
+ "epoch": 3.0216284987277353,
703
+ "grad_norm": 1.9776148010713264,
704
+ "learning_rate": 1.7611697586229695e-05,
705
+ "loss": 0.4254,
706
+ "step": 4750
707
+ },
708
+ {
709
+ "epoch": 3.053435114503817,
710
+ "grad_norm": 2.1156326922920994,
711
+ "learning_rate": 1.753922369827162e-05,
712
+ "loss": 0.3248,
713
+ "step": 4800
714
+ },
715
+ {
716
+ "epoch": 3.0852417302798982,
717
+ "grad_norm": 1.927754824109064,
718
+ "learning_rate": 1.7465820476326656e-05,
719
+ "loss": 0.328,
720
+ "step": 4850
721
+ },
722
+ {
723
+ "epoch": 3.1170483460559795,
724
+ "grad_norm": 1.984505722526154,
725
+ "learning_rate": 1.7391496968555667e-05,
726
+ "loss": 0.3325,
727
+ "step": 4900
728
+ },
729
+ {
730
+ "epoch": 3.148854961832061,
731
+ "grad_norm": 2.070364334889199,
732
+ "learning_rate": 1.7316262336559978e-05,
733
+ "loss": 0.3348,
734
+ "step": 4950
735
+ },
736
+ {
737
+ "epoch": 3.1806615776081424,
738
+ "grad_norm": 1.9450509022734594,
739
+ "learning_rate": 1.7240125854252043e-05,
740
+ "loss": 0.3413,
741
+ "step": 5000
742
+ },
743
+ {
744
+ "epoch": 3.212468193384224,
745
+ "grad_norm": 2.0171683252659323,
746
+ "learning_rate": 1.7163096906712267e-05,
747
+ "loss": 0.3353,
748
+ "step": 5050
749
+ },
750
+ {
751
+ "epoch": 3.2442748091603053,
752
+ "grad_norm": 2.0051713529489046,
753
+ "learning_rate": 1.708518498903216e-05,
754
+ "loss": 0.3411,
755
+ "step": 5100
756
+ },
757
+ {
758
+ "epoch": 3.276081424936387,
759
+ "grad_norm": 2.0973923846500213,
760
+ "learning_rate": 1.7006399705143905e-05,
761
+ "loss": 0.3421,
762
+ "step": 5150
763
+ },
764
+ {
765
+ "epoch": 3.3078880407124682,
766
+ "grad_norm": 2.0572445637964103,
767
+ "learning_rate": 1.692675076663651e-05,
768
+ "loss": 0.338,
769
+ "step": 5200
770
+ },
771
+ {
772
+ "epoch": 3.3396946564885495,
773
+ "grad_norm": 2.1760429565142223,
774
+ "learning_rate": 1.6846247991558686e-05,
775
+ "loss": 0.3506,
776
+ "step": 5250
777
+ },
778
+ {
779
+ "epoch": 3.371501272264631,
780
+ "grad_norm": 1.9297734638867776,
781
+ "learning_rate": 1.6764901303208632e-05,
782
+ "loss": 0.344,
783
+ "step": 5300
784
+ },
785
+ {
786
+ "epoch": 3.4033078880407124,
787
+ "grad_norm": 2.051646120204668,
788
+ "learning_rate": 1.6682720728910815e-05,
789
+ "loss": 0.3531,
790
+ "step": 5350
791
+ },
792
+ {
793
+ "epoch": 3.435114503816794,
794
+ "grad_norm": 2.053007809243884,
795
+ "learning_rate": 1.659971639877992e-05,
796
+ "loss": 0.356,
797
+ "step": 5400
798
+ },
799
+ {
800
+ "epoch": 3.4669211195928753,
801
+ "grad_norm": 2.113810517440616,
802
+ "learning_rate": 1.6515898544472172e-05,
803
+ "loss": 0.3544,
804
+ "step": 5450
805
+ },
806
+ {
807
+ "epoch": 3.4987277353689565,
808
+ "grad_norm": 2.0372048460483207,
809
+ "learning_rate": 1.6431277497924093e-05,
810
+ "loss": 0.3461,
811
+ "step": 5500
812
+ },
813
+ {
814
+ "epoch": 3.530534351145038,
815
+ "grad_norm": 2.0430461667046753,
816
+ "learning_rate": 1.6345863690078942e-05,
817
+ "loss": 0.3527,
818
+ "step": 5550
819
+ },
820
+ {
821
+ "epoch": 3.5623409669211195,
822
+ "grad_norm": 2.0399250101984485,
823
+ "learning_rate": 1.6259667649600907e-05,
824
+ "loss": 0.3584,
825
+ "step": 5600
826
+ },
827
+ {
828
+ "epoch": 3.594147582697201,
829
+ "grad_norm": 2.1539893126413165,
830
+ "learning_rate": 1.6172700001577286e-05,
831
+ "loss": 0.3599,
832
+ "step": 5650
833
+ },
834
+ {
835
+ "epoch": 3.6259541984732824,
836
+ "grad_norm": 2.158545963475489,
837
+ "learning_rate": 1.6084971466208764e-05,
838
+ "loss": 0.3639,
839
+ "step": 5700
840
+ },
841
+ {
842
+ "epoch": 3.6577608142493636,
843
+ "grad_norm": 2.133349813061679,
844
+ "learning_rate": 1.599649285748798e-05,
845
+ "loss": 0.3604,
846
+ "step": 5750
847
+ },
848
+ {
849
+ "epoch": 3.6895674300254453,
850
+ "grad_norm": 2.1126907045423136,
851
+ "learning_rate": 1.5907275081866504e-05,
852
+ "loss": 0.3572,
853
+ "step": 5800
854
+ },
855
+ {
856
+ "epoch": 3.721374045801527,
857
+ "grad_norm": 2.1536592654492006,
858
+ "learning_rate": 1.5817329136910463e-05,
859
+ "loss": 0.3597,
860
+ "step": 5850
861
+ },
862
+ {
863
+ "epoch": 3.753180661577608,
864
+ "grad_norm": 1.9820017146238096,
865
+ "learning_rate": 1.5726666109944887e-05,
866
+ "loss": 0.366,
867
+ "step": 5900
868
+ },
869
+ {
870
+ "epoch": 3.7849872773536894,
871
+ "grad_norm": 2.0394074001285167,
872
+ "learning_rate": 1.563529717668702e-05,
873
+ "loss": 0.3586,
874
+ "step": 5950
875
+ },
876
+ {
877
+ "epoch": 3.816793893129771,
878
+ "grad_norm": 2.0797434739007548,
879
+ "learning_rate": 1.5543233599868744e-05,
880
+ "loss": 0.3611,
881
+ "step": 6000
882
+ },
883
+ {
884
+ "epoch": 3.8486005089058524,
885
+ "grad_norm": 1.9847509894940687,
886
+ "learning_rate": 1.5450486727848217e-05,
887
+ "loss": 0.3682,
888
+ "step": 6050
889
+ },
890
+ {
891
+ "epoch": 3.880407124681934,
892
+ "grad_norm": 2.0762467778933806,
893
+ "learning_rate": 1.535706799321106e-05,
894
+ "loss": 0.367,
895
+ "step": 6100
896
+ },
897
+ {
898
+ "epoch": 3.9122137404580153,
899
+ "grad_norm": 2.08727307746701,
900
+ "learning_rate": 1.526298891136105e-05,
901
+ "loss": 0.3661,
902
+ "step": 6150
903
+ },
904
+ {
905
+ "epoch": 3.9440203562340965,
906
+ "grad_norm": 2.2966942638832544,
907
+ "learning_rate": 1.5168261079100695e-05,
908
+ "loss": 0.362,
909
+ "step": 6200
910
+ },
911
+ {
912
+ "epoch": 3.975826972010178,
913
+ "grad_norm": 2.052981094095626,
914
+ "learning_rate": 1.5072896173201697e-05,
915
+ "loss": 0.3692,
916
+ "step": 6250
917
+ },
918
+ {
919
+ "epoch": 4.0,
920
+ "eval_loss": 1.4977455139160156,
921
+ "eval_runtime": 51.4362,
922
+ "eval_samples_per_second": 54.553,
923
+ "eval_steps_per_second": 1.711,
924
+ "step": 6288
925
+ },
926
+ {
927
+ "epoch": 4.00763358778626,
928
+ "grad_norm": 2.107958347254252,
929
+ "learning_rate": 1.4976905948965637e-05,
930
+ "loss": 0.3142,
931
+ "step": 6300
932
+ },
933
+ {
934
+ "epoch": 4.039440203562341,
935
+ "grad_norm": 1.9505610066311394,
936
+ "learning_rate": 1.4880302238774911e-05,
937
+ "loss": 0.1694,
938
+ "step": 6350
939
+ },
940
+ {
941
+ "epoch": 4.071246819338422,
942
+ "grad_norm": 1.8629359372754337,
943
+ "learning_rate": 1.4783096950634211e-05,
944
+ "loss": 0.1727,
945
+ "step": 6400
946
+ },
947
+ {
948
+ "epoch": 4.103053435114504,
949
+ "grad_norm": 1.8272931243832953,
950
+ "learning_rate": 1.468530206670265e-05,
951
+ "loss": 0.1707,
952
+ "step": 6450
953
+ },
954
+ {
955
+ "epoch": 4.134860050890585,
956
+ "grad_norm": 1.982558356194926,
957
+ "learning_rate": 1.4586929641816783e-05,
958
+ "loss": 0.1757,
959
+ "step": 6500
960
+ },
961
+ {
962
+ "epoch": 4.166666666666667,
963
+ "grad_norm": 1.7448326286779277,
964
+ "learning_rate": 1.4487991802004625e-05,
965
+ "loss": 0.1777,
966
+ "step": 6550
967
+ },
968
+ {
969
+ "epoch": 4.198473282442748,
970
+ "grad_norm": 1.9280680517187911,
971
+ "learning_rate": 1.4388500742990934e-05,
972
+ "loss": 0.1785,
973
+ "step": 6600
974
+ },
975
+ {
976
+ "epoch": 4.230279898218829,
977
+ "grad_norm": 1.9089795547388508,
978
+ "learning_rate": 1.4288468728693889e-05,
979
+ "loss": 0.181,
980
+ "step": 6650
981
+ },
982
+ {
983
+ "epoch": 4.262086513994911,
984
+ "grad_norm": 2.0037836680476566,
985
+ "learning_rate": 1.4187908089713348e-05,
986
+ "loss": 0.1823,
987
+ "step": 6700
988
+ },
989
+ {
990
+ "epoch": 4.293893129770993,
991
+ "grad_norm": 1.8739930764604456,
992
+ "learning_rate": 1.4086831221810897e-05,
993
+ "loss": 0.1812,
994
+ "step": 6750
995
+ },
996
+ {
997
+ "epoch": 4.325699745547074,
998
+ "grad_norm": 1.9039560558559352,
999
+ "learning_rate": 1.3985250584381884e-05,
1000
+ "loss": 0.1848,
1001
+ "step": 6800
1002
+ },
1003
+ {
1004
+ "epoch": 4.357506361323155,
1005
+ "grad_norm": 1.979148934201314,
1006
+ "learning_rate": 1.3883178698919578e-05,
1007
+ "loss": 0.183,
1008
+ "step": 6850
1009
+ },
1010
+ {
1011
+ "epoch": 4.3893129770992365,
1012
+ "grad_norm": 2.037387611365519,
1013
+ "learning_rate": 1.378062814747168e-05,
1014
+ "loss": 0.1858,
1015
+ "step": 6900
1016
+ },
1017
+ {
1018
+ "epoch": 4.421119592875318,
1019
+ "grad_norm": 2.081816352916778,
1020
+ "learning_rate": 1.3677611571089406e-05,
1021
+ "loss": 0.1889,
1022
+ "step": 6950
1023
+ },
1024
+ {
1025
+ "epoch": 4.4529262086514,
1026
+ "grad_norm": 2.0722431553233993,
1027
+ "learning_rate": 1.3574141668269235e-05,
1028
+ "loss": 0.1876,
1029
+ "step": 7000
1030
+ },
1031
+ {
1032
+ "epoch": 4.484732824427481,
1033
+ "grad_norm": 1.893880597719728,
1034
+ "learning_rate": 1.3470231193387639e-05,
1035
+ "loss": 0.1868,
1036
+ "step": 7050
1037
+ },
1038
+ {
1039
+ "epoch": 4.516539440203562,
1040
+ "grad_norm": 2.136980665093255,
1041
+ "learning_rate": 1.3365892955128876e-05,
1042
+ "loss": 0.1925,
1043
+ "step": 7100
1044
+ },
1045
+ {
1046
+ "epoch": 4.548346055979644,
1047
+ "grad_norm": 2.2126003717690144,
1048
+ "learning_rate": 1.326113981490611e-05,
1049
+ "loss": 0.1868,
1050
+ "step": 7150
1051
+ },
1052
+ {
1053
+ "epoch": 4.580152671755725,
1054
+ "grad_norm": 2.295568251011161,
1055
+ "learning_rate": 1.315598468527604e-05,
1056
+ "loss": 0.1855,
1057
+ "step": 7200
1058
+ },
1059
+ {
1060
+ "epoch": 4.611959287531807,
1061
+ "grad_norm": 1.886004237984628,
1062
+ "learning_rate": 1.30504405283472e-05,
1063
+ "loss": 0.1891,
1064
+ "step": 7250
1065
+ },
1066
+ {
1067
+ "epoch": 4.643765903307888,
1068
+ "grad_norm": 2.0731100810122065,
1069
+ "learning_rate": 1.294452035418218e-05,
1070
+ "loss": 0.1901,
1071
+ "step": 7300
1072
+ },
1073
+ {
1074
+ "epoch": 4.675572519083969,
1075
+ "grad_norm": 1.8758598657873944,
1076
+ "learning_rate": 1.2838237219193897e-05,
1077
+ "loss": 0.1898,
1078
+ "step": 7350
1079
+ },
1080
+ {
1081
+ "epoch": 4.707379134860051,
1082
+ "grad_norm": 1.9515874051409456,
1083
+ "learning_rate": 1.2731604224536208e-05,
1084
+ "loss": 0.1895,
1085
+ "step": 7400
1086
+ },
1087
+ {
1088
+ "epoch": 4.739185750636132,
1089
+ "grad_norm": 1.972736566907763,
1090
+ "learning_rate": 1.262463451448895e-05,
1091
+ "loss": 0.1888,
1092
+ "step": 7450
1093
+ },
1094
+ {
1095
+ "epoch": 4.770992366412214,
1096
+ "grad_norm": 1.9482783400297305,
1097
+ "learning_rate": 1.2517341274837702e-05,
1098
+ "loss": 0.1931,
1099
+ "step": 7500
1100
+ },
1101
+ {
1102
+ "epoch": 4.802798982188295,
1103
+ "grad_norm": 1.8471591343739595,
1104
+ "learning_rate": 1.2409737731248418e-05,
1105
+ "loss": 0.1903,
1106
+ "step": 7550
1107
+ },
1108
+ {
1109
+ "epoch": 4.8346055979643765,
1110
+ "grad_norm": 2.025410052096641,
1111
+ "learning_rate": 1.2301837147637137e-05,
1112
+ "loss": 0.1926,
1113
+ "step": 7600
1114
+ },
1115
+ {
1116
+ "epoch": 4.866412213740458,
1117
+ "grad_norm": 1.8904775058623584,
1118
+ "learning_rate": 1.2193652824535e-05,
1119
+ "loss": 0.1909,
1120
+ "step": 7650
1121
+ },
1122
+ {
1123
+ "epoch": 4.898218829516539,
1124
+ "grad_norm": 2.0404591880691405,
1125
+ "learning_rate": 1.2085198097448732e-05,
1126
+ "loss": 0.1909,
1127
+ "step": 7700
1128
+ },
1129
+ {
1130
+ "epoch": 4.930025445292621,
1131
+ "grad_norm": 1.9452174397216788,
1132
+ "learning_rate": 1.197648633521681e-05,
1133
+ "loss": 0.19,
1134
+ "step": 7750
1135
+ },
1136
+ {
1137
+ "epoch": 4.961832061068702,
1138
+ "grad_norm": 2.098087417526516,
1139
+ "learning_rate": 1.1867530938361557e-05,
1140
+ "loss": 0.1953,
1141
+ "step": 7800
1142
+ },
1143
+ {
1144
+ "epoch": 4.993638676844784,
1145
+ "grad_norm": 2.028699161436086,
1146
+ "learning_rate": 1.1758345337437284e-05,
1147
+ "loss": 0.1932,
1148
+ "step": 7850
1149
+ },
1150
+ {
1151
+ "epoch": 5.0,
1152
+ "eval_loss": 1.913898229598999,
1153
+ "eval_runtime": 54.0702,
1154
+ "eval_samples_per_second": 51.896,
1155
+ "eval_steps_per_second": 1.628,
1156
+ "step": 7860
1157
+ },
1158
+ {
1159
+ "epoch": 5.025445292620865,
1160
+ "grad_norm": 1.4793683076824136,
1161
+ "learning_rate": 1.164894299137476e-05,
1162
+ "loss": 0.1166,
1163
+ "step": 7900
1164
+ },
1165
+ {
1166
+ "epoch": 5.057251908396947,
1167
+ "grad_norm": 1.5651227153942533,
1168
+ "learning_rate": 1.1539337385822179e-05,
1169
+ "loss": 0.1006,
1170
+ "step": 7950
1171
+ },
1172
+ {
1173
+ "epoch": 5.089058524173028,
1174
+ "grad_norm": 1.7359295760816373,
1175
+ "learning_rate": 1.1429542031482828e-05,
1176
+ "loss": 0.1037,
1177
+ "step": 8000
1178
+ },
1179
+ {
1180
+ "epoch": 5.120865139949109,
1181
+ "grad_norm": 1.5516562484547498,
1182
+ "learning_rate": 1.1319570462449664e-05,
1183
+ "loss": 0.1073,
1184
+ "step": 8050
1185
+ },
1186
+ {
1187
+ "epoch": 5.152671755725191,
1188
+ "grad_norm": 1.7147421352890893,
1189
+ "learning_rate": 1.120943623453703e-05,
1190
+ "loss": 0.1048,
1191
+ "step": 8100
1192
+ },
1193
+ {
1194
+ "epoch": 5.184478371501272,
1195
+ "grad_norm": 1.588020821919146,
1196
+ "learning_rate": 1.1099152923609654e-05,
1197
+ "loss": 0.1046,
1198
+ "step": 8150
1199
+ },
1200
+ {
1201
+ "epoch": 5.216284987277354,
1202
+ "grad_norm": 1.4744529210130621,
1203
+ "learning_rate": 1.0988734123909218e-05,
1204
+ "loss": 0.1053,
1205
+ "step": 8200
1206
+ },
1207
+ {
1208
+ "epoch": 5.248091603053435,
1209
+ "grad_norm": 1.5149467562017078,
1210
+ "learning_rate": 1.0878193446378633e-05,
1211
+ "loss": 0.1067,
1212
+ "step": 8250
1213
+ },
1214
+ {
1215
+ "epoch": 5.2798982188295165,
1216
+ "grad_norm": 1.641740858676932,
1217
+ "learning_rate": 1.076754451698427e-05,
1218
+ "loss": 0.1052,
1219
+ "step": 8300
1220
+ },
1221
+ {
1222
+ "epoch": 5.311704834605598,
1223
+ "grad_norm": 1.9805138911324567,
1224
+ "learning_rate": 1.0656800975036328e-05,
1225
+ "loss": 0.1073,
1226
+ "step": 8350
1227
+ },
1228
+ {
1229
+ "epoch": 5.34351145038168,
1230
+ "grad_norm": 1.538007502423292,
1231
+ "learning_rate": 1.0545976471507573e-05,
1232
+ "loss": 0.1092,
1233
+ "step": 8400
1234
+ },
1235
+ {
1236
+ "epoch": 5.375318066157761,
1237
+ "grad_norm": 1.5971589586731525,
1238
+ "learning_rate": 1.0435084667350619e-05,
1239
+ "loss": 0.1075,
1240
+ "step": 8450
1241
+ },
1242
+ {
1243
+ "epoch": 5.407124681933842,
1244
+ "grad_norm": 1.690135861247903,
1245
+ "learning_rate": 1.0324139231813997e-05,
1246
+ "loss": 0.1074,
1247
+ "step": 8500
1248
+ },
1249
+ {
1250
+ "epoch": 5.438931297709924,
1251
+ "grad_norm": 1.6897524323080446,
1252
+ "learning_rate": 1.0213153840757198e-05,
1253
+ "loss": 0.1099,
1254
+ "step": 8550
1255
+ },
1256
+ {
1257
+ "epoch": 5.470737913486005,
1258
+ "grad_norm": 1.6020111115696878,
1259
+ "learning_rate": 1.0102142174964883e-05,
1260
+ "loss": 0.1089,
1261
+ "step": 8600
1262
+ },
1263
+ {
1264
+ "epoch": 5.502544529262087,
1265
+ "grad_norm": 1.721827372559917,
1266
+ "learning_rate": 9.991117918460518e-06,
1267
+ "loss": 0.1085,
1268
+ "step": 8650
1269
+ },
1270
+ {
1271
+ "epoch": 5.534351145038168,
1272
+ "grad_norm": 1.5374549183894768,
1273
+ "learning_rate": 9.880094756819572e-06,
1274
+ "loss": 0.1088,
1275
+ "step": 8700
1276
+ },
1277
+ {
1278
+ "epoch": 5.566157760814249,
1279
+ "grad_norm": 1.63155554721324,
1280
+ "learning_rate": 9.769086375482561e-06,
1281
+ "loss": 0.1095,
1282
+ "step": 8750
1283
+ },
1284
+ {
1285
+ "epoch": 5.597964376590331,
1286
+ "grad_norm": 1.6722391499109936,
1287
+ "learning_rate": 9.658106458068086e-06,
1288
+ "loss": 0.1097,
1289
+ "step": 8800
1290
+ },
1291
+ {
1292
+ "epoch": 5.629770992366412,
1293
+ "grad_norm": 1.6914082156675518,
1294
+ "learning_rate": 9.547168684686088e-06,
1295
+ "loss": 0.1092,
1296
+ "step": 8850
1297
+ },
1298
+ {
1299
+ "epoch": 5.661577608142494,
1300
+ "grad_norm": 1.6060594589970834,
1301
+ "learning_rate": 9.436286730251568e-06,
1302
+ "loss": 0.1109,
1303
+ "step": 8900
1304
+ },
1305
+ {
1306
+ "epoch": 5.693384223918575,
1307
+ "grad_norm": 1.6457178552761271,
1308
+ "learning_rate": 9.32547426279892e-06,
1309
+ "loss": 0.1101,
1310
+ "step": 8950
1311
+ },
1312
+ {
1313
+ "epoch": 5.7251908396946565,
1314
+ "grad_norm": 1.6736941545247992,
1315
+ "learning_rate": 9.214744941797115e-06,
1316
+ "loss": 0.1087,
1317
+ "step": 9000
1318
+ },
1319
+ {
1320
+ "epoch": 5.756997455470738,
1321
+ "grad_norm": 1.6655682373835654,
1322
+ "learning_rate": 9.104112416465949e-06,
1323
+ "loss": 0.1072,
1324
+ "step": 9050
1325
+ },
1326
+ {
1327
+ "epoch": 5.788804071246819,
1328
+ "grad_norm": 1.716312631900298,
1329
+ "learning_rate": 8.993590324093548e-06,
1330
+ "loss": 0.1096,
1331
+ "step": 9100
1332
+ },
1333
+ {
1334
+ "epoch": 5.820610687022901,
1335
+ "grad_norm": 1.6302159083496506,
1336
+ "learning_rate": 8.883192288355362e-06,
1337
+ "loss": 0.1093,
1338
+ "step": 9150
1339
+ },
1340
+ {
1341
+ "epoch": 5.852417302798982,
1342
+ "grad_norm": 1.6265328321818522,
1343
+ "learning_rate": 8.772931917634792e-06,
1344
+ "loss": 0.1101,
1345
+ "step": 9200
1346
+ },
1347
+ {
1348
+ "epoch": 5.8842239185750635,
1349
+ "grad_norm": 1.611412246032975,
1350
+ "learning_rate": 8.662822803345762e-06,
1351
+ "loss": 0.1082,
1352
+ "step": 9250
1353
+ },
1354
+ {
1355
+ "epoch": 5.916030534351145,
1356
+ "grad_norm": 1.523038058167952,
1357
+ "learning_rate": 8.552878518257335e-06,
1358
+ "loss": 0.1098,
1359
+ "step": 9300
1360
+ },
1361
+ {
1362
+ "epoch": 5.947837150127226,
1363
+ "grad_norm": 1.652523299337976,
1364
+ "learning_rate": 8.44311261482065e-06,
1365
+ "loss": 0.1093,
1366
+ "step": 9350
1367
+ },
1368
+ {
1369
+ "epoch": 5.979643765903308,
1370
+ "grad_norm": 1.6687963754361035,
1371
+ "learning_rate": 8.333538623498357e-06,
1372
+ "loss": 0.1083,
1373
+ "step": 9400
1374
+ },
1375
+ {
1376
+ "epoch": 6.0,
1377
+ "eval_loss": 2.39013671875,
1378
+ "eval_runtime": 57.4954,
1379
+ "eval_samples_per_second": 48.804,
1380
+ "eval_steps_per_second": 1.531,
1381
+ "step": 9432
1382
+ },
1383
+ {
1384
+ "epoch": 6.011450381679389,
1385
+ "grad_norm": 1.1640024621937262,
1386
+ "learning_rate": 8.224170051096769e-06,
1387
+ "loss": 0.0926,
1388
+ "step": 9450
1389
+ },
1390
+ {
1391
+ "epoch": 6.043256997455471,
1392
+ "grad_norm": 1.0821873479243533,
1393
+ "learning_rate": 8.115020379100913e-06,
1394
+ "loss": 0.0686,
1395
+ "step": 9500
1396
+ },
1397
+ {
1398
+ "epoch": 6.075063613231552,
1399
+ "grad_norm": 1.0429744336325093,
1400
+ "learning_rate": 8.006103062012725e-06,
1401
+ "loss": 0.0709,
1402
+ "step": 9550
1403
+ },
1404
+ {
1405
+ "epoch": 6.106870229007634,
1406
+ "grad_norm": 1.0982634834958693,
1407
+ "learning_rate": 7.897431525692557e-06,
1408
+ "loss": 0.0699,
1409
+ "step": 9600
1410
+ },
1411
+ {
1412
+ "epoch": 6.138676844783715,
1413
+ "grad_norm": 1.1260866233749833,
1414
+ "learning_rate": 7.789019165704218e-06,
1415
+ "loss": 0.0721,
1416
+ "step": 9650
1417
+ },
1418
+ {
1419
+ "epoch": 6.1704834605597965,
1420
+ "grad_norm": 1.2094196230310894,
1421
+ "learning_rate": 7.680879345663745e-06,
1422
+ "loss": 0.0717,
1423
+ "step": 9700
1424
+ },
1425
+ {
1426
+ "epoch": 6.202290076335878,
1427
+ "grad_norm": 1.1634423083927459,
1428
+ "learning_rate": 7.573025395592125e-06,
1429
+ "loss": 0.0715,
1430
+ "step": 9750
1431
+ },
1432
+ {
1433
+ "epoch": 6.234096692111959,
1434
+ "grad_norm": 1.2985863539363118,
1435
+ "learning_rate": 7.4654706102721405e-06,
1436
+ "loss": 0.0728,
1437
+ "step": 9800
1438
+ },
1439
+ {
1440
+ "epoch": 6.265903307888041,
1441
+ "grad_norm": 1.2070636203209166,
1442
+ "learning_rate": 7.358228247609569e-06,
1443
+ "loss": 0.0733,
1444
+ "step": 9850
1445
+ },
1446
+ {
1447
+ "epoch": 6.297709923664122,
1448
+ "grad_norm": 1.160714182767047,
1449
+ "learning_rate": 7.251311526998934e-06,
1450
+ "loss": 0.0721,
1451
+ "step": 9900
1452
+ },
1453
+ {
1454
+ "epoch": 6.3295165394402035,
1455
+ "grad_norm": 1.2885727319815767,
1456
+ "learning_rate": 7.1447336276939915e-06,
1457
+ "loss": 0.073,
1458
+ "step": 9950
1459
+ },
1460
+ {
1461
+ "epoch": 6.361323155216285,
1462
+ "grad_norm": 1.1465122232062648,
1463
+ "learning_rate": 7.038507687183167e-06,
1464
+ "loss": 0.0718,
1465
+ "step": 10000
1466
+ },
1467
+ {
1468
+ "epoch": 6.393129770992366,
1469
+ "grad_norm": 1.2099805716340462,
1470
+ "learning_rate": 6.932646799570144e-06,
1471
+ "loss": 0.0744,
1472
+ "step": 10050
1473
+ },
1474
+ {
1475
+ "epoch": 6.424936386768448,
1476
+ "grad_norm": 1.1587707031129502,
1477
+ "learning_rate": 6.827164013959805e-06,
1478
+ "loss": 0.0725,
1479
+ "step": 10100
1480
+ },
1481
+ {
1482
+ "epoch": 6.456743002544529,
1483
+ "grad_norm": 1.182892310121918,
1484
+ "learning_rate": 6.722072332849697e-06,
1485
+ "loss": 0.0735,
1486
+ "step": 10150
1487
+ },
1488
+ {
1489
+ "epoch": 6.488549618320611,
1490
+ "grad_norm": 1.2622584554849223,
1491
+ "learning_rate": 6.617384710527282e-06,
1492
+ "loss": 0.0733,
1493
+ "step": 10200
1494
+ },
1495
+ {
1496
+ "epoch": 6.520356234096692,
1497
+ "grad_norm": 1.3226325470322322,
1498
+ "learning_rate": 6.513114051473094e-06,
1499
+ "loss": 0.0742,
1500
+ "step": 10250
1501
+ },
1502
+ {
1503
+ "epoch": 6.552162849872774,
1504
+ "grad_norm": 1.3036627900457751,
1505
+ "learning_rate": 6.409273208770039e-06,
1506
+ "loss": 0.0733,
1507
+ "step": 10300
1508
+ },
1509
+ {
1510
+ "epoch": 6.583969465648855,
1511
+ "grad_norm": 1.2326022863178456,
1512
+ "learning_rate": 6.305874982519064e-06,
1513
+ "loss": 0.0748,
1514
+ "step": 10350
1515
+ },
1516
+ {
1517
+ "epoch": 6.6157760814249365,
1518
+ "grad_norm": 1.1888251941386172,
1519
+ "learning_rate": 6.202932118261309e-06,
1520
+ "loss": 0.0735,
1521
+ "step": 10400
1522
+ },
1523
+ {
1524
+ "epoch": 6.647582697201018,
1525
+ "grad_norm": 1.2979512300254676,
1526
+ "learning_rate": 6.100457305407024e-06,
1527
+ "loss": 0.0742,
1528
+ "step": 10450
1529
+ },
1530
+ {
1531
+ "epoch": 6.679389312977099,
1532
+ "grad_norm": 1.2201598913375877,
1533
+ "learning_rate": 5.998463175671382e-06,
1534
+ "loss": 0.0731,
1535
+ "step": 10500
1536
+ },
1537
+ {
1538
+ "epoch": 6.711195928753181,
1539
+ "grad_norm": 1.074538323760813,
1540
+ "learning_rate": 5.896962301517415e-06,
1541
+ "loss": 0.072,
1542
+ "step": 10550
1543
+ },
1544
+ {
1545
+ "epoch": 6.743002544529262,
1546
+ "grad_norm": 1.154410840799108,
1547
+ "learning_rate": 5.795967194606249e-06,
1548
+ "loss": 0.0733,
1549
+ "step": 10600
1550
+ },
1551
+ {
1552
+ "epoch": 6.7748091603053435,
1553
+ "grad_norm": 1.1746045784185184,
1554
+ "learning_rate": 5.695490304254825e-06,
1555
+ "loss": 0.0722,
1556
+ "step": 10650
1557
+ },
1558
+ {
1559
+ "epoch": 6.806615776081425,
1560
+ "grad_norm": 1.1366587055886472,
1561
+ "learning_rate": 5.59554401590134e-06,
1562
+ "loss": 0.072,
1563
+ "step": 10700
1564
+ },
1565
+ {
1566
+ "epoch": 6.838422391857506,
1567
+ "grad_norm": 1.1414915705802602,
1568
+ "learning_rate": 5.496140649578507e-06,
1569
+ "loss": 0.073,
1570
+ "step": 10750
1571
+ },
1572
+ {
1573
+ "epoch": 6.870229007633588,
1574
+ "grad_norm": 1.0658028472882173,
1575
+ "learning_rate": 5.397292458394923e-06,
1576
+ "loss": 0.0711,
1577
+ "step": 10800
1578
+ },
1579
+ {
1580
+ "epoch": 6.902035623409669,
1581
+ "grad_norm": 1.13284721647744,
1582
+ "learning_rate": 5.2990116270246795e-06,
1583
+ "loss": 0.0713,
1584
+ "step": 10850
1585
+ },
1586
+ {
1587
+ "epoch": 6.933842239185751,
1588
+ "grad_norm": 1.1850532152524302,
1589
+ "learning_rate": 5.201310270205375e-06,
1590
+ "loss": 0.0714,
1591
+ "step": 10900
1592
+ },
1593
+ {
1594
+ "epoch": 6.965648854961832,
1595
+ "grad_norm": 1.4139501578857867,
1596
+ "learning_rate": 5.104200431244802e-06,
1597
+ "loss": 0.0716,
1598
+ "step": 10950
1599
+ },
1600
+ {
1601
+ "epoch": 6.997455470737913,
1602
+ "grad_norm": 1.3206202357844146,
1603
+ "learning_rate": 5.007694080536379e-06,
1604
+ "loss": 0.0721,
1605
+ "step": 11000
1606
+ },
1607
+ {
1608
+ "epoch": 7.0,
1609
+ "eval_loss": 2.679978132247925,
1610
+ "eval_runtime": 55.9717,
1611
+ "eval_samples_per_second": 50.132,
1612
+ "eval_steps_per_second": 1.572,
1613
+ "step": 11004
1614
+ },
1615
+ {
1616
+ "epoch": 7.029262086513995,
1617
+ "grad_norm": 0.7594215283173359,
1618
+ "learning_rate": 4.911803114083635e-06,
1619
+ "loss": 0.0532,
1620
+ "step": 11050
1621
+ },
1622
+ {
1623
+ "epoch": 7.061068702290076,
1624
+ "grad_norm": 0.7570171860957418,
1625
+ "learning_rate": 4.816539352033806e-06,
1626
+ "loss": 0.0509,
1627
+ "step": 11100
1628
+ },
1629
+ {
1630
+ "epoch": 7.092875318066158,
1631
+ "grad_norm": 0.7549673159769185,
1632
+ "learning_rate": 4.721914537220807e-06,
1633
+ "loss": 0.0522,
1634
+ "step": 11150
1635
+ },
1636
+ {
1637
+ "epoch": 7.124681933842239,
1638
+ "grad_norm": 0.8233969961008896,
1639
+ "learning_rate": 4.627940333717758e-06,
1640
+ "loss": 0.0527,
1641
+ "step": 11200
1642
+ },
1643
+ {
1644
+ "epoch": 7.156488549618321,
1645
+ "grad_norm": 0.8166861593202606,
1646
+ "learning_rate": 4.534628325399157e-06,
1647
+ "loss": 0.052,
1648
+ "step": 11250
1649
+ },
1650
+ {
1651
+ "epoch": 7.188295165394402,
1652
+ "grad_norm": 0.9851243027512826,
1653
+ "learning_rate": 4.441990014513016e-06,
1654
+ "loss": 0.0524,
1655
+ "step": 11300
1656
+ },
1657
+ {
1658
+ "epoch": 7.2201017811704835,
1659
+ "grad_norm": 0.8447465274214352,
1660
+ "learning_rate": 4.3500368202629775e-06,
1661
+ "loss": 0.0522,
1662
+ "step": 11350
1663
+ },
1664
+ {
1665
+ "epoch": 7.251908396946565,
1666
+ "grad_norm": 0.750732927712184,
1667
+ "learning_rate": 4.2587800774007485e-06,
1668
+ "loss": 0.0528,
1669
+ "step": 11400
1670
+ },
1671
+ {
1672
+ "epoch": 7.283715012722646,
1673
+ "grad_norm": 0.7801419309981809,
1674
+ "learning_rate": 4.168231034828873e-06,
1675
+ "loss": 0.0528,
1676
+ "step": 11450
1677
+ },
1678
+ {
1679
+ "epoch": 7.315521628498728,
1680
+ "grad_norm": 0.6873017424208359,
1681
+ "learning_rate": 4.078400854214136e-06,
1682
+ "loss": 0.052,
1683
+ "step": 11500
1684
+ },
1685
+ {
1686
+ "epoch": 7.347328244274809,
1687
+ "grad_norm": 0.8809132112218713,
1688
+ "learning_rate": 3.989300608611709e-06,
1689
+ "loss": 0.0538,
1690
+ "step": 11550
1691
+ },
1692
+ {
1693
+ "epoch": 7.379134860050891,
1694
+ "grad_norm": 0.8614536390106059,
1695
+ "learning_rate": 3.90094128110018e-06,
1696
+ "loss": 0.0532,
1697
+ "step": 11600
1698
+ },
1699
+ {
1700
+ "epoch": 7.410941475826972,
1701
+ "grad_norm": 0.7727143215643426,
1702
+ "learning_rate": 3.8133337634277556e-06,
1703
+ "loss": 0.0534,
1704
+ "step": 11650
1705
+ },
1706
+ {
1707
+ "epoch": 7.442748091603053,
1708
+ "grad_norm": 0.8389043129325592,
1709
+ "learning_rate": 3.726488854669631e-06,
1710
+ "loss": 0.0535,
1711
+ "step": 11700
1712
+ },
1713
+ {
1714
+ "epoch": 7.474554707379135,
1715
+ "grad_norm": 0.7673983015748496,
1716
+ "learning_rate": 3.640417259896856e-06,
1717
+ "loss": 0.0525,
1718
+ "step": 11750
1719
+ },
1720
+ {
1721
+ "epoch": 7.506361323155216,
1722
+ "grad_norm": 0.8586943513972485,
1723
+ "learning_rate": 3.5551295888567304e-06,
1724
+ "loss": 0.0527,
1725
+ "step": 11800
1726
+ },
1727
+ {
1728
+ "epoch": 7.538167938931298,
1729
+ "grad_norm": 0.8250658330704663,
1730
+ "learning_rate": 3.470636354665006e-06,
1731
+ "loss": 0.0528,
1732
+ "step": 11850
1733
+ },
1734
+ {
1735
+ "epoch": 7.569974554707379,
1736
+ "grad_norm": 0.9181462088501849,
1737
+ "learning_rate": 3.386947972509944e-06,
1738
+ "loss": 0.0531,
1739
+ "step": 11900
1740
+ },
1741
+ {
1742
+ "epoch": 7.601781170483461,
1743
+ "grad_norm": 0.7612511386277396,
1744
+ "learning_rate": 3.3040747583684864e-06,
1745
+ "loss": 0.0534,
1746
+ "step": 11950
1747
+ },
1748
+ {
1749
+ "epoch": 7.633587786259542,
1750
+ "grad_norm": 0.8374071182256133,
1751
+ "learning_rate": 3.2220269277346437e-06,
1752
+ "loss": 0.0525,
1753
+ "step": 12000
1754
+ },
1755
+ {
1756
+ "epoch": 7.6653944020356235,
1757
+ "grad_norm": 0.6843857705551388,
1758
+ "learning_rate": 3.140814594360254e-06,
1759
+ "loss": 0.0532,
1760
+ "step": 12050
1761
+ },
1762
+ {
1763
+ "epoch": 7.697201017811705,
1764
+ "grad_norm": 0.7472725928560873,
1765
+ "learning_rate": 3.060447769008311e-06,
1766
+ "loss": 0.053,
1767
+ "step": 12100
1768
+ },
1769
+ {
1770
+ "epoch": 7.729007633587786,
1771
+ "grad_norm": 0.6742611901517995,
1772
+ "learning_rate": 2.980936358218951e-06,
1773
+ "loss": 0.0521,
1774
+ "step": 12150
1775
+ },
1776
+ {
1777
+ "epoch": 7.760814249363868,
1778
+ "grad_norm": 0.7447558302371876,
1779
+ "learning_rate": 2.902290163088334e-06,
1780
+ "loss": 0.0523,
1781
+ "step": 12200
1782
+ },
1783
+ {
1784
+ "epoch": 7.792620865139949,
1785
+ "grad_norm": 0.8357691068645717,
1786
+ "learning_rate": 2.824518878060475e-06,
1787
+ "loss": 0.0522,
1788
+ "step": 12250
1789
+ },
1790
+ {
1791
+ "epoch": 7.824427480916031,
1792
+ "grad_norm": 0.7615949867158718,
1793
+ "learning_rate": 2.7476320897322507e-06,
1794
+ "loss": 0.0528,
1795
+ "step": 12300
1796
+ },
1797
+ {
1798
+ "epoch": 7.856234096692112,
1799
+ "grad_norm": 0.6736658957587341,
1800
+ "learning_rate": 2.6716392756717025e-06,
1801
+ "loss": 0.0528,
1802
+ "step": 12350
1803
+ },
1804
+ {
1805
+ "epoch": 7.888040712468193,
1806
+ "grad_norm": 0.8585452571929305,
1807
+ "learning_rate": 2.596549803249748e-06,
1808
+ "loss": 0.0523,
1809
+ "step": 12400
1810
+ },
1811
+ {
1812
+ "epoch": 7.919847328244275,
1813
+ "grad_norm": 0.7813934967634093,
1814
+ "learning_rate": 2.522372928485526e-06,
1815
+ "loss": 0.052,
1816
+ "step": 12450
1817
+ },
1818
+ {
1819
+ "epoch": 7.951653944020356,
1820
+ "grad_norm": 0.6924594723451242,
1821
+ "learning_rate": 2.4491177949054066e-06,
1822
+ "loss": 0.0526,
1823
+ "step": 12500
1824
+ },
1825
+ {
1826
+ "epoch": 7.983460559796438,
1827
+ "grad_norm": 0.797811753846389,
1828
+ "learning_rate": 2.376793432415935e-06,
1829
+ "loss": 0.0521,
1830
+ "step": 12550
1831
+ },
1832
+ {
1833
+ "epoch": 8.0,
1834
+ "eval_loss": 2.9158363342285156,
1835
+ "eval_runtime": 54.0838,
1836
+ "eval_samples_per_second": 51.882,
1837
+ "eval_steps_per_second": 1.627,
1838
+ "step": 12576
1839
+ },
1840
+ {
1841
+ "epoch": 8.01526717557252,
1842
+ "grad_norm": 0.47699575150025136,
1843
+ "learning_rate": 2.3054087561907133e-06,
1844
+ "loss": 0.0476,
1845
+ "step": 12600
1846
+ },
1847
+ {
1848
+ "epoch": 8.0470737913486,
1849
+ "grad_norm": 0.44472989078715447,
1850
+ "learning_rate": 2.2349725655714784e-06,
1851
+ "loss": 0.0408,
1852
+ "step": 12650
1853
+ },
1854
+ {
1855
+ "epoch": 8.078880407124682,
1856
+ "grad_norm": 0.4166634413980581,
1857
+ "learning_rate": 2.165493542983439e-06,
1858
+ "loss": 0.04,
1859
+ "step": 12700
1860
+ },
1861
+ {
1862
+ "epoch": 8.110687022900763,
1863
+ "grad_norm": 0.4826499882370959,
1864
+ "learning_rate": 2.0969802528650052e-06,
1865
+ "loss": 0.0406,
1866
+ "step": 12750
1867
+ },
1868
+ {
1869
+ "epoch": 8.142493638676845,
1870
+ "grad_norm": 0.5525649043803899,
1871
+ "learning_rate": 2.0294411406121017e-06,
1872
+ "loss": 0.0403,
1873
+ "step": 12800
1874
+ },
1875
+ {
1876
+ "epoch": 8.174300254452927,
1877
+ "grad_norm": 0.6770167907516378,
1878
+ "learning_rate": 1.9628845315371135e-06,
1879
+ "loss": 0.0416,
1880
+ "step": 12850
1881
+ },
1882
+ {
1883
+ "epoch": 8.206106870229007,
1884
+ "grad_norm": 0.5609786348847312,
1885
+ "learning_rate": 1.8973186298426715e-06,
1886
+ "loss": 0.04,
1887
+ "step": 12900
1888
+ },
1889
+ {
1890
+ "epoch": 8.23791348600509,
1891
+ "grad_norm": 1.2377244048034484,
1892
+ "learning_rate": 1.8327515176103339e-06,
1893
+ "loss": 0.0409,
1894
+ "step": 12950
1895
+ },
1896
+ {
1897
+ "epoch": 8.26972010178117,
1898
+ "grad_norm": 0.5811829212233038,
1899
+ "learning_rate": 1.7691911538043426e-06,
1900
+ "loss": 0.0414,
1901
+ "step": 13000
1902
+ },
1903
+ {
1904
+ "epoch": 8.301526717557252,
1905
+ "grad_norm": 0.404578030905123,
1906
+ "learning_rate": 1.7066453732905497e-06,
1907
+ "loss": 0.0406,
1908
+ "step": 13050
1909
+ },
1910
+ {
1911
+ "epoch": 8.333333333333334,
1912
+ "grad_norm": 0.5099055257542866,
1913
+ "learning_rate": 1.6451218858706374e-06,
1914
+ "loss": 0.0413,
1915
+ "step": 13100
1916
+ },
1917
+ {
1918
+ "epoch": 8.365139949109414,
1919
+ "grad_norm": 0.4999951785478943,
1920
+ "learning_rate": 1.5846282753317665e-06,
1921
+ "loss": 0.0403,
1922
+ "step": 13150
1923
+ },
1924
+ {
1925
+ "epoch": 8.396946564885496,
1926
+ "grad_norm": 0.48048243299669846,
1927
+ "learning_rate": 1.525171998511733e-06,
1928
+ "loss": 0.0404,
1929
+ "step": 13200
1930
+ },
1931
+ {
1932
+ "epoch": 8.428753180661577,
1933
+ "grad_norm": 0.5268405348490426,
1934
+ "learning_rate": 1.4667603843798106e-06,
1935
+ "loss": 0.0412,
1936
+ "step": 13250
1937
+ },
1938
+ {
1939
+ "epoch": 8.460559796437659,
1940
+ "grad_norm": 0.48606935124003653,
1941
+ "learning_rate": 1.40940063313331e-06,
1942
+ "loss": 0.0407,
1943
+ "step": 13300
1944
+ },
1945
+ {
1946
+ "epoch": 8.492366412213741,
1947
+ "grad_norm": 0.4586801501366044,
1948
+ "learning_rate": 1.3530998153100584e-06,
1949
+ "loss": 0.041,
1950
+ "step": 13350
1951
+ },
1952
+ {
1953
+ "epoch": 8.524173027989821,
1954
+ "grad_norm": 0.46212200000809905,
1955
+ "learning_rate": 1.2978648709168218e-06,
1956
+ "loss": 0.0415,
1957
+ "step": 13400
1958
+ },
1959
+ {
1960
+ "epoch": 8.555979643765903,
1961
+ "grad_norm": 0.5230101492785741,
1962
+ "learning_rate": 1.2437026085738413e-06,
1963
+ "loss": 0.0412,
1964
+ "step": 13450
1965
+ },
1966
+ {
1967
+ "epoch": 8.587786259541986,
1968
+ "grad_norm": 0.5010710891320053,
1969
+ "learning_rate": 1.190619704675564e-06,
1970
+ "loss": 0.0407,
1971
+ "step": 13500
1972
+ },
1973
+ {
1974
+ "epoch": 8.619592875318066,
1975
+ "grad_norm": 0.5337226775595767,
1976
+ "learning_rate": 1.1386227025676533e-06,
1977
+ "loss": 0.0411,
1978
+ "step": 13550
1979
+ },
1980
+ {
1981
+ "epoch": 8.651399491094148,
1982
+ "grad_norm": 0.49748450214540363,
1983
+ "learning_rate": 1.0877180117404262e-06,
1984
+ "loss": 0.041,
1985
+ "step": 13600
1986
+ },
1987
+ {
1988
+ "epoch": 8.683206106870228,
1989
+ "grad_norm": 0.5478966127927775,
1990
+ "learning_rate": 1.0379119070387678e-06,
1991
+ "loss": 0.0408,
1992
+ "step": 13650
1993
+ },
1994
+ {
1995
+ "epoch": 8.71501272264631,
1996
+ "grad_norm": 0.5724410891992745,
1997
+ "learning_rate": 9.892105278886633e-07,
1998
+ "loss": 0.0413,
1999
+ "step": 13700
2000
+ },
2001
+ {
2002
+ "epoch": 8.746819338422393,
2003
+ "grad_norm": 0.5129565444894096,
2004
+ "learning_rate": 9.416198775403995e-07,
2005
+ "loss": 0.0416,
2006
+ "step": 13750
2007
+ },
2008
+ {
2009
+ "epoch": 8.778625954198473,
2010
+ "grad_norm": 0.4919521234854214,
2011
+ "learning_rate": 8.951458223285747e-07,
2012
+ "loss": 0.041,
2013
+ "step": 13800
2014
+ },
2015
+ {
2016
+ "epoch": 8.810432569974555,
2017
+ "grad_norm": 0.5202619264425508,
2018
+ "learning_rate": 8.497940909489766e-07,
2019
+ "loss": 0.0409,
2020
+ "step": 13850
2021
+ },
2022
+ {
2023
+ "epoch": 8.842239185750635,
2024
+ "grad_norm": 0.5737719301526714,
2025
+ "learning_rate": 8.05570273752414e-07,
2026
+ "loss": 0.0409,
2027
+ "step": 13900
2028
+ },
2029
+ {
2030
+ "epoch": 8.874045801526718,
2031
+ "grad_norm": 0.5125697208888668,
2032
+ "learning_rate": 7.624798220556307e-07,
2033
+ "loss": 0.0416,
2034
+ "step": 13950
2035
+ },
2036
+ {
2037
+ "epoch": 8.9058524173028,
2038
+ "grad_norm": 0.4752912481647863,
2039
+ "learning_rate": 7.205280474693255e-07,
2040
+ "loss": 0.0408,
2041
+ "step": 14000
2042
+ },
2043
+ {
2044
+ "epoch": 8.93765903307888,
2045
+ "grad_norm": 0.46889034532949214,
2046
+ "learning_rate": 6.797201212434179e-07,
2047
+ "loss": 0.0414,
2048
+ "step": 14050
2049
+ },
2050
+ {
2051
+ "epoch": 8.969465648854962,
2052
+ "grad_norm": 0.5191849271721021,
2053
+ "learning_rate": 6.40061073629602e-07,
2054
+ "loss": 0.0407,
2055
+ "step": 14100
2056
+ },
2057
+ {
2058
+ "epoch": 9.0,
2059
+ "eval_loss": 3.1603267192840576,
2060
+ "eval_runtime": 41.6298,
2061
+ "eval_samples_per_second": 67.404,
2062
+ "eval_steps_per_second": 2.114,
2063
+ "step": 14148
2064
+ },
2065
+ {
2066
+ "epoch": 9.001272264631043,
2067
+ "grad_norm": 0.3119408951667528,
2068
+ "learning_rate": 6.015557932612814e-07,
2069
+ "loss": 0.0406,
2070
+ "step": 14150
2071
+ },
2072
+ {
2073
+ "epoch": 9.033078880407125,
2074
+ "grad_norm": 0.40226216369582235,
2075
+ "learning_rate": 5.642090265509758e-07,
2076
+ "loss": 0.0339,
2077
+ "step": 14200
2078
+ },
2079
+ {
2080
+ "epoch": 9.064885496183207,
2081
+ "grad_norm": 0.4523677357722474,
2082
+ "learning_rate": 5.280253771052335e-07,
2083
+ "loss": 0.0345,
2084
+ "step": 14250
2085
+ },
2086
+ {
2087
+ "epoch": 9.096692111959287,
2088
+ "grad_norm": 0.4305698289148337,
2089
+ "learning_rate": 4.930093051571727e-07,
2090
+ "loss": 0.034,
2091
+ "step": 14300
2092
+ },
2093
+ {
2094
+ "epoch": 9.12849872773537,
2095
+ "grad_norm": 0.391062079240868,
2096
+ "learning_rate": 4.5916512701667194e-07,
2097
+ "loss": 0.0331,
2098
+ "step": 14350
2099
+ },
2100
+ {
2101
+ "epoch": 9.16030534351145,
2102
+ "grad_norm": 0.4320929587892914,
2103
+ "learning_rate": 4.264970145383218e-07,
2104
+ "loss": 0.0338,
2105
+ "step": 14400
2106
+ },
2107
+ {
2108
+ "epoch": 9.192111959287532,
2109
+ "grad_norm": 0.4600987494145122,
2110
+ "learning_rate": 3.950089946071789e-07,
2111
+ "loss": 0.0338,
2112
+ "step": 14450
2113
+ },
2114
+ {
2115
+ "epoch": 9.223918575063614,
2116
+ "grad_norm": 0.4522601727238207,
2117
+ "learning_rate": 3.647049486423715e-07,
2118
+ "loss": 0.0341,
2119
+ "step": 14500
2120
+ },
2121
+ {
2122
+ "epoch": 9.255725190839694,
2123
+ "grad_norm": 0.5578268300468956,
2124
+ "learning_rate": 3.3558861211866465e-07,
2125
+ "loss": 0.034,
2126
+ "step": 14550
2127
+ },
2128
+ {
2129
+ "epoch": 9.287531806615776,
2130
+ "grad_norm": 0.4469673191217148,
2131
+ "learning_rate": 3.076635741059897e-07,
2132
+ "loss": 0.0339,
2133
+ "step": 14600
2134
+ },
2135
+ {
2136
+ "epoch": 9.319338422391857,
2137
+ "grad_norm": 0.3715355931773751,
2138
+ "learning_rate": 2.8093327682704455e-07,
2139
+ "loss": 0.0336,
2140
+ "step": 14650
2141
+ },
2142
+ {
2143
+ "epoch": 9.351145038167939,
2144
+ "grad_norm": 0.45563517363253375,
2145
+ "learning_rate": 2.554010152329689e-07,
2146
+ "loss": 0.0338,
2147
+ "step": 14700
2148
+ },
2149
+ {
2150
+ "epoch": 9.382951653944021,
2151
+ "grad_norm": 0.439182546045708,
2152
+ "learning_rate": 2.3106993659719912e-07,
2153
+ "loss": 0.0341,
2154
+ "step": 14750
2155
+ },
2156
+ {
2157
+ "epoch": 9.414758269720101,
2158
+ "grad_norm": 0.477249284039544,
2159
+ "learning_rate": 2.079430401275062e-07,
2160
+ "loss": 0.0337,
2161
+ "step": 14800
2162
+ },
2163
+ {
2164
+ "epoch": 9.446564885496183,
2165
+ "grad_norm": 0.46561188379582136,
2166
+ "learning_rate": 1.8602317659630164e-07,
2167
+ "loss": 0.0341,
2168
+ "step": 14850
2169
+ },
2170
+ {
2171
+ "epoch": 9.478371501272264,
2172
+ "grad_norm": 0.43267746862828027,
2173
+ "learning_rate": 1.6531304798922175e-07,
2174
+ "loss": 0.0334,
2175
+ "step": 14900
2176
+ },
2177
+ {
2178
+ "epoch": 9.510178117048346,
2179
+ "grad_norm": 0.4469433294529979,
2180
+ "learning_rate": 1.4581520717207532e-07,
2181
+ "loss": 0.0338,
2182
+ "step": 14950
2183
+ },
2184
+ {
2185
+ "epoch": 9.541984732824428,
2186
+ "grad_norm": 0.471710246057724,
2187
+ "learning_rate": 1.2753205757615184e-07,
2188
+ "loss": 0.0342,
2189
+ "step": 15000
2190
+ },
2191
+ {
2192
+ "epoch": 9.573791348600508,
2193
+ "grad_norm": 0.45324554344467166,
2194
+ "learning_rate": 1.1046585290196199e-07,
2195
+ "loss": 0.0344,
2196
+ "step": 15050
2197
+ },
2198
+ {
2199
+ "epoch": 9.60559796437659,
2200
+ "grad_norm": 0.44380469046920124,
2201
+ "learning_rate": 9.461869684143532e-08,
2202
+ "loss": 0.0337,
2203
+ "step": 15100
2204
+ },
2205
+ {
2206
+ "epoch": 9.637404580152673,
2207
+ "grad_norm": 0.43526204289234377,
2208
+ "learning_rate": 7.99925428185988e-08,
2209
+ "loss": 0.0336,
2210
+ "step": 15150
2211
+ },
2212
+ {
2213
+ "epoch": 9.669211195928753,
2214
+ "grad_norm": 0.48131870263398113,
2215
+ "learning_rate": 6.658919374878836e-08,
2216
+ "loss": 0.0338,
2217
+ "step": 15200
2218
+ },
2219
+ {
2220
+ "epoch": 9.701017811704835,
2221
+ "grad_norm": 0.51605738105091,
2222
+ "learning_rate": 5.4410301816409936e-08,
2223
+ "loss": 0.0346,
2224
+ "step": 15250
2225
+ },
2226
+ {
2227
+ "epoch": 9.732824427480915,
2228
+ "grad_norm": 0.5246279101214187,
2229
+ "learning_rate": 4.345736827128133e-08,
2230
+ "loss": 0.0338,
2231
+ "step": 15300
2232
+ },
2233
+ {
2234
+ "epoch": 9.764631043256998,
2235
+ "grad_norm": 0.4253195146423773,
2236
+ "learning_rate": 3.373174324357464e-08,
2237
+ "loss": 0.034,
2238
+ "step": 15350
2239
+ },
2240
+ {
2241
+ "epoch": 9.796437659033078,
2242
+ "grad_norm": 0.4147726333463597,
2243
+ "learning_rate": 2.523462557739609e-08,
2244
+ "loss": 0.034,
2245
+ "step": 15400
2246
+ },
2247
+ {
2248
+ "epoch": 9.82824427480916,
2249
+ "grad_norm": 0.4712720308828737,
2250
+ "learning_rate": 1.7967062683001968e-08,
2251
+ "loss": 0.0338,
2252
+ "step": 15450
2253
+ },
2254
+ {
2255
+ "epoch": 9.860050890585242,
2256
+ "grad_norm": 0.4668311393279567,
2257
+ "learning_rate": 1.192995040769307e-08,
2258
+ "loss": 0.0331,
2259
+ "step": 15500
2260
+ },
2261
+ {
2262
+ "epoch": 9.891857506361323,
2263
+ "grad_norm": 0.5257019319363953,
2264
+ "learning_rate": 7.1240329253852155e-09,
2265
+ "loss": 0.0342,
2266
+ "step": 15550
2267
+ },
2268
+ {
2269
+ "epoch": 9.923664122137405,
2270
+ "grad_norm": 0.5539605952740027,
2271
+ "learning_rate": 3.5499026448782006e-09,
2272
+ "loss": 0.0337,
2273
+ "step": 15600
2274
+ },
2275
+ {
2276
+ "epoch": 9.955470737913487,
2277
+ "grad_norm": 0.4268133146505169,
2278
+ "learning_rate": 1.2080001368286466e-09,
2279
+ "loss": 0.0339,
2280
+ "step": 15650
2281
+ },
2282
+ {
2283
+ "epoch": 9.987277353689567,
2284
+ "grad_norm": 0.47264194038520635,
2285
+ "learning_rate": 9.861407944566914e-11,
2286
+ "loss": 0.034,
2287
+ "step": 15700
2288
+ },
2289
+ {
2290
+ "epoch": 10.0,
2291
+ "eval_loss": 3.2902276515960693,
2292
+ "eval_runtime": 52.6381,
2293
+ "eval_samples_per_second": 53.307,
2294
+ "eval_steps_per_second": 1.672,
2295
+ "step": 15720
2296
+ },
2297
+ {
2298
+ "epoch": 10.0,
2299
+ "step": 15720,
2300
+ "total_flos": 1137765022433280.0,
2301
+ "train_loss": 0.3699118922533273,
2302
+ "train_runtime": 20589.7922,
2303
+ "train_samples_per_second": 24.417,
2304
+ "train_steps_per_second": 0.763
2305
+ }
2306
+ ],
2307
+ "logging_steps": 50,
2308
+ "max_steps": 15720,
2309
+ "num_input_tokens_seen": 0,
2310
+ "num_train_epochs": 10,
2311
+ "save_steps": 500,
2312
+ "stateful_callbacks": {
2313
+ "TrainerControl": {
2314
+ "args": {
2315
+ "should_epoch_stop": false,
2316
+ "should_evaluate": false,
2317
+ "should_log": false,
2318
+ "should_save": true,
2319
+ "should_training_stop": true
2320
+ },
2321
+ "attributes": {}
2322
+ }
2323
+ },
2324
+ "total_flos": 1137765022433280.0,
2325
+ "train_batch_size": 4,
2326
+ "trial_name": null,
2327
+ "trial_params": null
2328
+ }