Commit
•
e0612de
1
Parent(s):
9fdcb4c
End of training
Browse files- README.md +19 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1720578050.ki-g0010 +3 -0
- train_results.json +9 -0
- trainer_state.json +728 -0
README.md
CHANGED
|
@@ -3,9 +3,23 @@ license: mit
|
|
| 3 |
base_model: gokulsrinivasagan/gpt_84
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: gpt_96
|
| 8 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -14,7 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/gokulsrinivasagan/huggingface/runs/wwtzrg2y)
|
| 15 |
# gpt_96
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [gokulsrinivasagan/gpt_84](https://huggingface.co/gokulsrinivasagan/gpt_84) on
|
|
|
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 3 |
base_model: gokulsrinivasagan/gpt_84
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- gokuls/wiki_book_corpus_complete_raw_dataset
|
| 8 |
+
metrics:
|
| 9 |
+
- accuracy
|
| 10 |
model-index:
|
| 11 |
- name: gpt_96
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
name: Causal Language Modeling
|
| 15 |
+
type: text-generation
|
| 16 |
+
dataset:
|
| 17 |
+
name: gokuls/wiki_book_corpus_complete_raw_dataset
|
| 18 |
+
type: gokuls/wiki_book_corpus_complete_raw_dataset
|
| 19 |
+
metrics:
|
| 20 |
+
- name: Accuracy
|
| 21 |
+
type: accuracy
|
| 22 |
+
value: 0.37965929269827176
|
| 23 |
---
|
| 24 |
|
| 25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 28 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/gokulsrinivasagan/huggingface/runs/wwtzrg2y)
|
| 29 |
# gpt_96
|
| 30 |
|
| 31 |
+
This model is a fine-tuned version of [gokulsrinivasagan/gpt_84](https://huggingface.co/gokulsrinivasagan/gpt_84) on the gokuls/wiki_book_corpus_complete_raw_dataset dataset.
|
| 32 |
+
It achieves the following results on the evaluation set:
|
| 33 |
+
- Loss: 3.1287
|
| 34 |
+
- Accuracy: 0.3797
|
| 35 |
|
| 36 |
## Model description
|
| 37 |
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.4298328355080438,
|
| 3 |
+
"eval_accuracy": 0.37965929269827176,
|
| 4 |
+
"eval_loss": 3.1287243366241455,
|
| 5 |
+
"eval_perplexity": 22.844818648175387,
|
| 6 |
+
"eval_runtime": 523.5836,
|
| 7 |
+
"eval_samples": 55176,
|
| 8 |
+
"eval_samples_per_second": 105.381,
|
| 9 |
+
"eval_steps_per_second": 2.196,
|
| 10 |
+
"total_flos": 1.2345107794414797e+18,
|
| 11 |
+
"train_loss": 3.067183213959159,
|
| 12 |
+
"train_runtime": 46797.6916,
|
| 13 |
+
"train_samples": 5495866,
|
| 14 |
+
"train_samples_per_second": 11743.883,
|
| 15 |
+
"train_steps_per_second": 244.666
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.4298328355080438,
|
| 3 |
+
"eval_accuracy": 0.37965929269827176,
|
| 4 |
+
"eval_loss": 3.1287243366241455,
|
| 5 |
+
"eval_perplexity": 22.844818648175387,
|
| 6 |
+
"eval_runtime": 523.5836,
|
| 7 |
+
"eval_samples": 55176,
|
| 8 |
+
"eval_samples_per_second": 105.381,
|
| 9 |
+
"eval_steps_per_second": 2.196
|
| 10 |
+
}
|
logs/events.out.tfevents.1720578050.ki-g0010
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:07859b5fed076de6ac4dbf52a1feacc1702dfb0ad2e861268b38aa80e6d30f87
|
| 3 |
+
size 40
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.4298328355080438,
|
| 3 |
+
"total_flos": 1.2345107794414797e+18,
|
| 4 |
+
"train_loss": 3.067183213959159,
|
| 5 |
+
"train_runtime": 46797.6916,
|
| 6 |
+
"train_samples": 5495866,
|
| 7 |
+
"train_samples_per_second": 11743.883,
|
| 8 |
+
"train_steps_per_second": 244.666
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,728 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.4298328355080438,
|
| 5 |
+
"eval_steps": 1000000,
|
| 6 |
+
"global_step": 49215,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0043668885046027,
|
| 13 |
+
"grad_norm": 1.499011516571045,
|
| 14 |
+
"learning_rate": 9.99956331114954e-06,
|
| 15 |
+
"loss": 3.0752,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0087337770092054,
|
| 20 |
+
"grad_norm": 1.530051350593567,
|
| 21 |
+
"learning_rate": 9.99912662229908e-06,
|
| 22 |
+
"loss": 3.0792,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.013100665513808101,
|
| 27 |
+
"grad_norm": 1.5715222358703613,
|
| 28 |
+
"learning_rate": 9.99868993344862e-06,
|
| 29 |
+
"loss": 3.0762,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0174675540184108,
|
| 34 |
+
"grad_norm": 1.519605040550232,
|
| 35 |
+
"learning_rate": 9.99825324459816e-06,
|
| 36 |
+
"loss": 3.0838,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.021834442523013503,
|
| 41 |
+
"grad_norm": 1.5175423622131348,
|
| 42 |
+
"learning_rate": 9.9978165557477e-06,
|
| 43 |
+
"loss": 3.0795,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.026201331027616202,
|
| 48 |
+
"grad_norm": 1.503777027130127,
|
| 49 |
+
"learning_rate": 9.997379866897238e-06,
|
| 50 |
+
"loss": 3.0768,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.030568219532218905,
|
| 55 |
+
"grad_norm": 1.493525743484497,
|
| 56 |
+
"learning_rate": 9.996943178046778e-06,
|
| 57 |
+
"loss": 3.0818,
|
| 58 |
+
"step": 3500
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0349351080368216,
|
| 62 |
+
"grad_norm": 1.5032507181167603,
|
| 63 |
+
"learning_rate": 9.996506489196318e-06,
|
| 64 |
+
"loss": 3.0838,
|
| 65 |
+
"step": 4000
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.03930199654142431,
|
| 69 |
+
"grad_norm": 1.5484732389450073,
|
| 70 |
+
"learning_rate": 9.996069800345858e-06,
|
| 71 |
+
"loss": 3.0798,
|
| 72 |
+
"step": 4500
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.043668885046027006,
|
| 76 |
+
"grad_norm": 1.5356857776641846,
|
| 77 |
+
"learning_rate": 9.995633111495399e-06,
|
| 78 |
+
"loss": 3.08,
|
| 79 |
+
"step": 5000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.048035773550629705,
|
| 83 |
+
"grad_norm": 1.5570900440216064,
|
| 84 |
+
"learning_rate": 9.995196422644939e-06,
|
| 85 |
+
"loss": 3.0784,
|
| 86 |
+
"step": 5500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.052402662055232405,
|
| 90 |
+
"grad_norm": 1.5267707109451294,
|
| 91 |
+
"learning_rate": 9.994759733794479e-06,
|
| 92 |
+
"loss": 3.0775,
|
| 93 |
+
"step": 6000
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.056769550559835104,
|
| 97 |
+
"grad_norm": 1.5429790019989014,
|
| 98 |
+
"learning_rate": 9.994323044944017e-06,
|
| 99 |
+
"loss": 3.0695,
|
| 100 |
+
"step": 6500
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.06113643906443781,
|
| 104 |
+
"grad_norm": 1.8057048320770264,
|
| 105 |
+
"learning_rate": 9.993886356093557e-06,
|
| 106 |
+
"loss": 3.0802,
|
| 107 |
+
"step": 7000
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.06550332756904051,
|
| 111 |
+
"grad_norm": 1.5101138353347778,
|
| 112 |
+
"learning_rate": 9.993449667243097e-06,
|
| 113 |
+
"loss": 3.0753,
|
| 114 |
+
"step": 7500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0698702160736432,
|
| 118 |
+
"grad_norm": 1.5532760620117188,
|
| 119 |
+
"learning_rate": 9.993012978392636e-06,
|
| 120 |
+
"loss": 3.0767,
|
| 121 |
+
"step": 8000
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.07423710457824591,
|
| 125 |
+
"grad_norm": 1.5693330764770508,
|
| 126 |
+
"learning_rate": 9.992576289542176e-06,
|
| 127 |
+
"loss": 3.0792,
|
| 128 |
+
"step": 8500
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.07860399308284861,
|
| 132 |
+
"grad_norm": 1.5401012897491455,
|
| 133 |
+
"learning_rate": 9.992139600691716e-06,
|
| 134 |
+
"loss": 3.069,
|
| 135 |
+
"step": 9000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.0829708815874513,
|
| 139 |
+
"grad_norm": 1.5863893032073975,
|
| 140 |
+
"learning_rate": 9.991702911841256e-06,
|
| 141 |
+
"loss": 3.0701,
|
| 142 |
+
"step": 9500
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.08733777009205401,
|
| 146 |
+
"grad_norm": 1.588409185409546,
|
| 147 |
+
"learning_rate": 9.991266222990796e-06,
|
| 148 |
+
"loss": 3.0735,
|
| 149 |
+
"step": 10000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.0917046585966567,
|
| 153 |
+
"grad_norm": 1.5264829397201538,
|
| 154 |
+
"learning_rate": 9.990829534140335e-06,
|
| 155 |
+
"loss": 3.0825,
|
| 156 |
+
"step": 10500
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.09607154710125941,
|
| 160 |
+
"grad_norm": 1.5645649433135986,
|
| 161 |
+
"learning_rate": 9.990392845289875e-06,
|
| 162 |
+
"loss": 3.0802,
|
| 163 |
+
"step": 11000
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.10043843560586212,
|
| 167 |
+
"grad_norm": 1.536049485206604,
|
| 168 |
+
"learning_rate": 9.989956156439415e-06,
|
| 169 |
+
"loss": 3.0739,
|
| 170 |
+
"step": 11500
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.10480532411046481,
|
| 174 |
+
"grad_norm": 1.5308794975280762,
|
| 175 |
+
"learning_rate": 9.989519467588953e-06,
|
| 176 |
+
"loss": 3.0606,
|
| 177 |
+
"step": 12000
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.10917221261506752,
|
| 181 |
+
"grad_norm": 1.5116829872131348,
|
| 182 |
+
"learning_rate": 9.989082778738493e-06,
|
| 183 |
+
"loss": 3.0734,
|
| 184 |
+
"step": 12500
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.11353910111967021,
|
| 188 |
+
"grad_norm": 1.5693246126174927,
|
| 189 |
+
"learning_rate": 9.988646089888033e-06,
|
| 190 |
+
"loss": 3.0732,
|
| 191 |
+
"step": 13000
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.11790598962427291,
|
| 195 |
+
"grad_norm": 1.524153709411621,
|
| 196 |
+
"learning_rate": 9.988209401037573e-06,
|
| 197 |
+
"loss": 3.0743,
|
| 198 |
+
"step": 13500
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.12227287812887562,
|
| 202 |
+
"grad_norm": 1.5216927528381348,
|
| 203 |
+
"learning_rate": 9.987772712187114e-06,
|
| 204 |
+
"loss": 3.0668,
|
| 205 |
+
"step": 14000
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.1266397666334783,
|
| 209 |
+
"grad_norm": 1.5442315340042114,
|
| 210 |
+
"learning_rate": 9.987336023336654e-06,
|
| 211 |
+
"loss": 3.0755,
|
| 212 |
+
"step": 14500
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.13100665513808102,
|
| 216 |
+
"grad_norm": 1.555234670639038,
|
| 217 |
+
"learning_rate": 9.986899334486194e-06,
|
| 218 |
+
"loss": 3.0704,
|
| 219 |
+
"step": 15000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.13537354364268372,
|
| 223 |
+
"grad_norm": 1.5696550607681274,
|
| 224 |
+
"learning_rate": 9.986462645635732e-06,
|
| 225 |
+
"loss": 3.0757,
|
| 226 |
+
"step": 15500
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.1397404321472864,
|
| 230 |
+
"grad_norm": 1.531101107597351,
|
| 231 |
+
"learning_rate": 9.986025956785272e-06,
|
| 232 |
+
"loss": 3.0655,
|
| 233 |
+
"step": 16000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.1441073206518891,
|
| 237 |
+
"grad_norm": 1.544026494026184,
|
| 238 |
+
"learning_rate": 9.985589267934812e-06,
|
| 239 |
+
"loss": 3.0747,
|
| 240 |
+
"step": 16500
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.14847420915649182,
|
| 244 |
+
"grad_norm": 1.5147799253463745,
|
| 245 |
+
"learning_rate": 9.985152579084352e-06,
|
| 246 |
+
"loss": 3.0649,
|
| 247 |
+
"step": 17000
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.15284109766109452,
|
| 251 |
+
"grad_norm": 1.5733822584152222,
|
| 252 |
+
"learning_rate": 9.984715890233891e-06,
|
| 253 |
+
"loss": 3.0663,
|
| 254 |
+
"step": 17500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.15720798616569723,
|
| 258 |
+
"grad_norm": 1.590242862701416,
|
| 259 |
+
"learning_rate": 9.984279201383431e-06,
|
| 260 |
+
"loss": 3.0663,
|
| 261 |
+
"step": 18000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.1615748746702999,
|
| 265 |
+
"grad_norm": 1.5203492641448975,
|
| 266 |
+
"learning_rate": 9.983842512532971e-06,
|
| 267 |
+
"loss": 3.0747,
|
| 268 |
+
"step": 18500
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.1659417631749026,
|
| 272 |
+
"grad_norm": 1.5461294651031494,
|
| 273 |
+
"learning_rate": 9.98340582368251e-06,
|
| 274 |
+
"loss": 3.0689,
|
| 275 |
+
"step": 19000
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.17030865167950532,
|
| 279 |
+
"grad_norm": 1.5351060628890991,
|
| 280 |
+
"learning_rate": 9.98296913483205e-06,
|
| 281 |
+
"loss": 3.0689,
|
| 282 |
+
"step": 19500
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.17467554018410802,
|
| 286 |
+
"grad_norm": 1.5561175346374512,
|
| 287 |
+
"learning_rate": 9.98253244598159e-06,
|
| 288 |
+
"loss": 3.0756,
|
| 289 |
+
"step": 20000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.17904242868871073,
|
| 293 |
+
"grad_norm": 1.51571524143219,
|
| 294 |
+
"learning_rate": 9.982095757131129e-06,
|
| 295 |
+
"loss": 3.0644,
|
| 296 |
+
"step": 20500
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.1834093171933134,
|
| 300 |
+
"grad_norm": 1.5357000827789307,
|
| 301 |
+
"learning_rate": 9.981659068280668e-06,
|
| 302 |
+
"loss": 3.0745,
|
| 303 |
+
"step": 21000
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.18777620569791612,
|
| 307 |
+
"grad_norm": 1.5208464860916138,
|
| 308 |
+
"learning_rate": 9.981222379430208e-06,
|
| 309 |
+
"loss": 3.0661,
|
| 310 |
+
"step": 21500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.19214309420251882,
|
| 314 |
+
"grad_norm": 1.4807689189910889,
|
| 315 |
+
"learning_rate": 9.980785690579748e-06,
|
| 316 |
+
"loss": 3.0718,
|
| 317 |
+
"step": 22000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.19650998270712153,
|
| 321 |
+
"grad_norm": 1.5423370599746704,
|
| 322 |
+
"learning_rate": 9.980349001729288e-06,
|
| 323 |
+
"loss": 3.0672,
|
| 324 |
+
"step": 22500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.20087687121172423,
|
| 328 |
+
"grad_norm": 1.5475423336029053,
|
| 329 |
+
"learning_rate": 9.97991231287883e-06,
|
| 330 |
+
"loss": 3.0707,
|
| 331 |
+
"step": 23000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.2052437597163269,
|
| 335 |
+
"grad_norm": 1.5928481817245483,
|
| 336 |
+
"learning_rate": 9.97947562402837e-06,
|
| 337 |
+
"loss": 3.0704,
|
| 338 |
+
"step": 23500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.20961064822092962,
|
| 342 |
+
"grad_norm": 1.5184266567230225,
|
| 343 |
+
"learning_rate": 9.979038935177907e-06,
|
| 344 |
+
"loss": 3.0668,
|
| 345 |
+
"step": 24000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.21397753672553232,
|
| 349 |
+
"grad_norm": 1.6194623708724976,
|
| 350 |
+
"learning_rate": 9.978602246327447e-06,
|
| 351 |
+
"loss": 3.0604,
|
| 352 |
+
"step": 24500
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.21834442523013503,
|
| 356 |
+
"grad_norm": 1.5114210844039917,
|
| 357 |
+
"learning_rate": 9.978165557476987e-06,
|
| 358 |
+
"loss": 3.0643,
|
| 359 |
+
"step": 25000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.22271131373473774,
|
| 363 |
+
"grad_norm": 1.4907346963882446,
|
| 364 |
+
"learning_rate": 9.977728868626527e-06,
|
| 365 |
+
"loss": 3.0627,
|
| 366 |
+
"step": 25500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.22707820223934042,
|
| 370 |
+
"grad_norm": 1.55216383934021,
|
| 371 |
+
"learning_rate": 9.977292179776067e-06,
|
| 372 |
+
"loss": 3.0705,
|
| 373 |
+
"step": 26000
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.23144509074394312,
|
| 377 |
+
"grad_norm": 1.5280052423477173,
|
| 378 |
+
"learning_rate": 9.976855490925607e-06,
|
| 379 |
+
"loss": 3.0642,
|
| 380 |
+
"step": 26500
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.23581197924854583,
|
| 384 |
+
"grad_norm": 1.6076959371566772,
|
| 385 |
+
"learning_rate": 9.976418802075146e-06,
|
| 386 |
+
"loss": 3.0607,
|
| 387 |
+
"step": 27000
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.24017886775314853,
|
| 391 |
+
"grad_norm": 1.5258777141571045,
|
| 392 |
+
"learning_rate": 9.975982113224686e-06,
|
| 393 |
+
"loss": 3.0711,
|
| 394 |
+
"step": 27500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.24454575625775124,
|
| 398 |
+
"grad_norm": 1.5106350183486938,
|
| 399 |
+
"learning_rate": 9.975545424374226e-06,
|
| 400 |
+
"loss": 3.0659,
|
| 401 |
+
"step": 28000
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.24891264476235392,
|
| 405 |
+
"grad_norm": 1.5026884078979492,
|
| 406 |
+
"learning_rate": 9.975108735523766e-06,
|
| 407 |
+
"loss": 3.0629,
|
| 408 |
+
"step": 28500
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.2532795332669566,
|
| 412 |
+
"grad_norm": 1.4955607652664185,
|
| 413 |
+
"learning_rate": 9.974672046673306e-06,
|
| 414 |
+
"loss": 3.0642,
|
| 415 |
+
"step": 29000
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.25764642177155933,
|
| 419 |
+
"grad_norm": 1.5555437803268433,
|
| 420 |
+
"learning_rate": 9.974235357822844e-06,
|
| 421 |
+
"loss": 3.0525,
|
| 422 |
+
"step": 29500
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.26201331027616204,
|
| 426 |
+
"grad_norm": 1.5264055728912354,
|
| 427 |
+
"learning_rate": 9.973798668972384e-06,
|
| 428 |
+
"loss": 3.0656,
|
| 429 |
+
"step": 30000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.26638019878076474,
|
| 433 |
+
"grad_norm": 1.5161739587783813,
|
| 434 |
+
"learning_rate": 9.973361980121923e-06,
|
| 435 |
+
"loss": 3.067,
|
| 436 |
+
"step": 30500
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.27074708728536745,
|
| 440 |
+
"grad_norm": 1.640349268913269,
|
| 441 |
+
"learning_rate": 9.972925291271463e-06,
|
| 442 |
+
"loss": 3.0617,
|
| 443 |
+
"step": 31000
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.27511397578997016,
|
| 447 |
+
"grad_norm": 1.5388609170913696,
|
| 448 |
+
"learning_rate": 9.972488602421003e-06,
|
| 449 |
+
"loss": 3.0584,
|
| 450 |
+
"step": 31500
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2794808642945728,
|
| 454 |
+
"grad_norm": 1.5143171548843384,
|
| 455 |
+
"learning_rate": 9.972051913570545e-06,
|
| 456 |
+
"loss": 3.0563,
|
| 457 |
+
"step": 32000
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.2838477527991755,
|
| 461 |
+
"grad_norm": 1.5235260725021362,
|
| 462 |
+
"learning_rate": 9.971615224720084e-06,
|
| 463 |
+
"loss": 3.0601,
|
| 464 |
+
"step": 32500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.2882146413037782,
|
| 468 |
+
"grad_norm": 1.4914684295654297,
|
| 469 |
+
"learning_rate": 9.971178535869623e-06,
|
| 470 |
+
"loss": 3.052,
|
| 471 |
+
"step": 33000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.2925815298083809,
|
| 475 |
+
"grad_norm": 1.4766864776611328,
|
| 476 |
+
"learning_rate": 9.970741847019162e-06,
|
| 477 |
+
"loss": 3.0549,
|
| 478 |
+
"step": 33500
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.29694841831298363,
|
| 482 |
+
"grad_norm": 1.5566754341125488,
|
| 483 |
+
"learning_rate": 9.970305158168702e-06,
|
| 484 |
+
"loss": 3.055,
|
| 485 |
+
"step": 34000
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.30131530681758634,
|
| 489 |
+
"grad_norm": 1.546927809715271,
|
| 490 |
+
"learning_rate": 9.969868469318242e-06,
|
| 491 |
+
"loss": 3.063,
|
| 492 |
+
"step": 34500
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.30568219532218904,
|
| 496 |
+
"grad_norm": 1.5629053115844727,
|
| 497 |
+
"learning_rate": 9.969431780467782e-06,
|
| 498 |
+
"loss": 3.059,
|
| 499 |
+
"step": 35000
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.31004908382679175,
|
| 503 |
+
"grad_norm": 1.538415789604187,
|
| 504 |
+
"learning_rate": 9.968995091617322e-06,
|
| 505 |
+
"loss": 3.054,
|
| 506 |
+
"step": 35500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.31441597233139446,
|
| 510 |
+
"grad_norm": 1.541513442993164,
|
| 511 |
+
"learning_rate": 9.968558402766862e-06,
|
| 512 |
+
"loss": 3.0538,
|
| 513 |
+
"step": 36000
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.31878286083599716,
|
| 517 |
+
"grad_norm": 1.5637692213058472,
|
| 518 |
+
"learning_rate": 9.968121713916401e-06,
|
| 519 |
+
"loss": 3.0538,
|
| 520 |
+
"step": 36500
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.3231497493405998,
|
| 524 |
+
"grad_norm": 1.5472180843353271,
|
| 525 |
+
"learning_rate": 9.967685025065941e-06,
|
| 526 |
+
"loss": 3.0539,
|
| 527 |
+
"step": 37000
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.3275166378452025,
|
| 531 |
+
"grad_norm": 1.4945605993270874,
|
| 532 |
+
"learning_rate": 9.967248336215481e-06,
|
| 533 |
+
"loss": 3.0576,
|
| 534 |
+
"step": 37500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.3318835263498052,
|
| 538 |
+
"grad_norm": 1.4775537252426147,
|
| 539 |
+
"learning_rate": 9.96681164736502e-06,
|
| 540 |
+
"loss": 3.0553,
|
| 541 |
+
"step": 38000
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.33625041485440793,
|
| 545 |
+
"grad_norm": 1.487927794456482,
|
| 546 |
+
"learning_rate": 9.966374958514559e-06,
|
| 547 |
+
"loss": 3.0577,
|
| 548 |
+
"step": 38500
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.34061730335901064,
|
| 552 |
+
"grad_norm": 1.538345456123352,
|
| 553 |
+
"learning_rate": 9.965938269664099e-06,
|
| 554 |
+
"loss": 3.0541,
|
| 555 |
+
"step": 39000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.34498419186361334,
|
| 559 |
+
"grad_norm": 1.543130874633789,
|
| 560 |
+
"learning_rate": 9.965501580813639e-06,
|
| 561 |
+
"loss": 3.0559,
|
| 562 |
+
"step": 39500
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.34935108036821605,
|
| 566 |
+
"grad_norm": 1.5487135648727417,
|
| 567 |
+
"learning_rate": 9.965064891963178e-06,
|
| 568 |
+
"loss": 3.0514,
|
| 569 |
+
"step": 40000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.35371796887281876,
|
| 573 |
+
"grad_norm": 1.5321663618087769,
|
| 574 |
+
"learning_rate": 9.964628203112718e-06,
|
| 575 |
+
"loss": 3.0524,
|
| 576 |
+
"step": 40500
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.35808485737742146,
|
| 580 |
+
"grad_norm": 1.5257816314697266,
|
| 581 |
+
"learning_rate": 9.96419151426226e-06,
|
| 582 |
+
"loss": 3.056,
|
| 583 |
+
"step": 41000
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.36245174588202417,
|
| 587 |
+
"grad_norm": 1.478402018547058,
|
| 588 |
+
"learning_rate": 9.9637548254118e-06,
|
| 589 |
+
"loss": 3.0518,
|
| 590 |
+
"step": 41500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.3668186343866268,
|
| 594 |
+
"grad_norm": 1.5002671480178833,
|
| 595 |
+
"learning_rate": 9.963318136561338e-06,
|
| 596 |
+
"loss": 3.0531,
|
| 597 |
+
"step": 42000
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.3711855228912295,
|
| 601 |
+
"grad_norm": 1.5446417331695557,
|
| 602 |
+
"learning_rate": 9.962881447710878e-06,
|
| 603 |
+
"loss": 3.0483,
|
| 604 |
+
"step": 42500
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.37555241139583223,
|
| 608 |
+
"grad_norm": 1.4993116855621338,
|
| 609 |
+
"learning_rate": 9.962444758860417e-06,
|
| 610 |
+
"loss": 3.0522,
|
| 611 |
+
"step": 43000
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.37991929990043494,
|
| 615 |
+
"grad_norm": 1.576460838317871,
|
| 616 |
+
"learning_rate": 9.962008070009957e-06,
|
| 617 |
+
"loss": 3.0547,
|
| 618 |
+
"step": 43500
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.38428618840503764,
|
| 622 |
+
"grad_norm": 1.5173957347869873,
|
| 623 |
+
"learning_rate": 9.961571381159497e-06,
|
| 624 |
+
"loss": 3.0484,
|
| 625 |
+
"step": 44000
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.38865307690964035,
|
| 629 |
+
"grad_norm": 1.5036677122116089,
|
| 630 |
+
"learning_rate": 9.961134692309037e-06,
|
| 631 |
+
"loss": 3.0432,
|
| 632 |
+
"step": 44500
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.39301996541424306,
|
| 636 |
+
"grad_norm": 1.4855741262435913,
|
| 637 |
+
"learning_rate": 9.960698003458577e-06,
|
| 638 |
+
"loss": 3.0552,
|
| 639 |
+
"step": 45000
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.39738685391884576,
|
| 643 |
+
"grad_norm": 1.4877578020095825,
|
| 644 |
+
"learning_rate": 9.960261314608117e-06,
|
| 645 |
+
"loss": 3.077,
|
| 646 |
+
"step": 45500
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.40175374242344847,
|
| 650 |
+
"grad_norm": 1.5206501483917236,
|
| 651 |
+
"learning_rate": 9.959824625757656e-06,
|
| 652 |
+
"loss": 3.0821,
|
| 653 |
+
"step": 46000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.4061206309280511,
|
| 657 |
+
"grad_norm": 1.4510574340820312,
|
| 658 |
+
"learning_rate": 9.959387936907196e-06,
|
| 659 |
+
"loss": 3.0795,
|
| 660 |
+
"step": 46500
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.4104875194326538,
|
| 664 |
+
"grad_norm": 1.5214266777038574,
|
| 665 |
+
"learning_rate": 9.958951248056736e-06,
|
| 666 |
+
"loss": 3.076,
|
| 667 |
+
"step": 47000
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.41485440793725653,
|
| 671 |
+
"grad_norm": 1.553749442100525,
|
| 672 |
+
"learning_rate": 9.958514559206274e-06,
|
| 673 |
+
"loss": 3.0868,
|
| 674 |
+
"step": 47500
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.41922129644185924,
|
| 678 |
+
"grad_norm": 1.5479093790054321,
|
| 679 |
+
"learning_rate": 9.958077870355814e-06,
|
| 680 |
+
"loss": 3.0771,
|
| 681 |
+
"step": 48000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.42358818494646194,
|
| 685 |
+
"grad_norm": 1.4554359912872314,
|
| 686 |
+
"learning_rate": 9.957641181505354e-06,
|
| 687 |
+
"loss": 3.0783,
|
| 688 |
+
"step": 48500
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.42795507345106465,
|
| 692 |
+
"grad_norm": 1.482832908630371,
|
| 693 |
+
"learning_rate": 9.957204492654894e-06,
|
| 694 |
+
"loss": 3.074,
|
| 695 |
+
"step": 49000
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.4298328355080438,
|
| 699 |
+
"step": 49215,
|
| 700 |
+
"total_flos": 1.2345107794414797e+18,
|
| 701 |
+
"train_loss": 3.067183213959159,
|
| 702 |
+
"train_runtime": 46797.6916,
|
| 703 |
+
"train_samples_per_second": 11743.883,
|
| 704 |
+
"train_steps_per_second": 244.666
|
| 705 |
+
}
|
| 706 |
+
],
|
| 707 |
+
"logging_steps": 500,
|
| 708 |
+
"max_steps": 11449800,
|
| 709 |
+
"num_input_tokens_seen": 0,
|
| 710 |
+
"num_train_epochs": 100,
|
| 711 |
+
"save_steps": 1000000,
|
| 712 |
+
"stateful_callbacks": {
|
| 713 |
+
"TrainerControl": {
|
| 714 |
+
"args": {
|
| 715 |
+
"should_epoch_stop": false,
|
| 716 |
+
"should_evaluate": false,
|
| 717 |
+
"should_log": false,
|
| 718 |
+
"should_save": false,
|
| 719 |
+
"should_training_stop": false
|
| 720 |
+
},
|
| 721 |
+
"attributes": {}
|
| 722 |
+
}
|
| 723 |
+
},
|
| 724 |
+
"total_flos": 1.2345107794414797e+18,
|
| 725 |
+
"train_batch_size": 48,
|
| 726 |
+
"trial_name": null,
|
| 727 |
+
"trial_params": null
|
| 728 |
+
}
|