Commit
•
bc548b6
1
Parent(s):
1c5ef95
End of training
Browse files- README.md +19 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1720019581.s_003_m.242502.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +938 -0
README.md
CHANGED
|
@@ -3,9 +3,23 @@ license: mit
|
|
| 3 |
base_model: openai-community/gpt2
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: gpt_train_2_768_new
|
| 8 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -13,7 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
|
| 14 |
# gpt_train_2_768_new
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on
|
|
|
|
|
|
|
|
|
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
|
|
| 3 |
base_model: openai-community/gpt2
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- gokuls/wiki_book_corpus_raw_dataset_tiny
|
| 8 |
+
metrics:
|
| 9 |
+
- accuracy
|
| 10 |
model-index:
|
| 11 |
- name: gpt_train_2_768_new
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
name: Causal Language Modeling
|
| 15 |
+
type: text-generation
|
| 16 |
+
dataset:
|
| 17 |
+
name: gokuls/wiki_book_corpus_raw_dataset_tiny
|
| 18 |
+
type: gokuls/wiki_book_corpus_raw_dataset_tiny
|
| 19 |
+
metrics:
|
| 20 |
+
- name: Accuracy
|
| 21 |
+
type: accuracy
|
| 22 |
+
value: 0.3345458864628659
|
| 23 |
---
|
| 24 |
|
| 25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 27 |
|
| 28 |
# gpt_train_2_768_new
|
| 29 |
|
| 30 |
+
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the gokuls/wiki_book_corpus_raw_dataset_tiny dataset.
|
| 31 |
+
It achieves the following results on the evaluation set:
|
| 32 |
+
- Loss: 3.9456
|
| 33 |
+
- Accuracy: 0.3345
|
| 34 |
|
| 35 |
## Model description
|
| 36 |
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.321127579192096,
|
| 3 |
+
"eval_accuracy": 0.3345458864628659,
|
| 4 |
+
"eval_loss": 3.945629119873047,
|
| 5 |
+
"eval_runtime": 233.188,
|
| 6 |
+
"eval_samples": 33767,
|
| 7 |
+
"eval_samples_per_second": 144.806,
|
| 8 |
+
"eval_steps_per_second": 1.51,
|
| 9 |
+
"perplexity": 51.70885895206038,
|
| 10 |
+
"total_flos": 5.363892569191219e+17,
|
| 11 |
+
"train_loss": 4.763968430426513,
|
| 12 |
+
"train_runtime": 93599.1484,
|
| 13 |
+
"train_samples": 660643,
|
| 14 |
+
"train_samples_per_second": 705.822,
|
| 15 |
+
"train_steps_per_second": 7.353
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.321127579192096,
|
| 3 |
+
"eval_accuracy": 0.3345458864628659,
|
| 4 |
+
"eval_loss": 3.945629119873047,
|
| 5 |
+
"eval_runtime": 233.188,
|
| 6 |
+
"eval_samples": 33767,
|
| 7 |
+
"eval_samples_per_second": 144.806,
|
| 8 |
+
"eval_steps_per_second": 1.51,
|
| 9 |
+
"perplexity": 51.70885895206038
|
| 10 |
+
}
|
logs/events.out.tfevents.1720019581.s_003_m.242502.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9e54bd39e5890b8512d1de62d32b836ffb20f55180a5bc6bc1b53432cd78069
|
| 3 |
+
size 369
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.321127579192096,
|
| 3 |
+
"total_flos": 5.363892569191219e+17,
|
| 4 |
+
"train_loss": 4.763968430426513,
|
| 5 |
+
"train_runtime": 93599.1484,
|
| 6 |
+
"train_samples": 660643,
|
| 7 |
+
"train_samples_per_second": 705.822,
|
| 8 |
+
"train_steps_per_second": 7.353
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,938 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 9.321127579192096,
|
| 5 |
+
"eval_steps": 1000000,
|
| 6 |
+
"global_step": 64148,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.07265329845975008,
|
| 13 |
+
"grad_norm": 0.39395979046821594,
|
| 14 |
+
"learning_rate": 9.992734670154026e-06,
|
| 15 |
+
"loss": 8.1621,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.14530659691950015,
|
| 20 |
+
"grad_norm": 0.5780870318412781,
|
| 21 |
+
"learning_rate": 9.985469340308051e-06,
|
| 22 |
+
"loss": 7.0196,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.21795989537925023,
|
| 27 |
+
"grad_norm": 0.5540204048156738,
|
| 28 |
+
"learning_rate": 9.978204010462076e-06,
|
| 29 |
+
"loss": 6.6142,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.2906131938390003,
|
| 34 |
+
"grad_norm": 0.5443109273910522,
|
| 35 |
+
"learning_rate": 9.970938680616102e-06,
|
| 36 |
+
"loss": 6.3813,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.36326649229875035,
|
| 41 |
+
"grad_norm": 0.6196579337120056,
|
| 42 |
+
"learning_rate": 9.963673350770125e-06,
|
| 43 |
+
"loss": 6.2207,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.43591979075850046,
|
| 48 |
+
"grad_norm": 0.5789604187011719,
|
| 49 |
+
"learning_rate": 9.95640802092415e-06,
|
| 50 |
+
"loss": 6.0957,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.5085730892182505,
|
| 55 |
+
"grad_norm": 0.63157719373703,
|
| 56 |
+
"learning_rate": 9.949142691078175e-06,
|
| 57 |
+
"loss": 5.9962,
|
| 58 |
+
"step": 3500
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.5812263876780006,
|
| 62 |
+
"grad_norm": 0.5619252920150757,
|
| 63 |
+
"learning_rate": 9.9418773612322e-06,
|
| 64 |
+
"loss": 5.9116,
|
| 65 |
+
"step": 4000
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.6538796861377506,
|
| 69 |
+
"grad_norm": 0.6025997996330261,
|
| 70 |
+
"learning_rate": 9.934612031386226e-06,
|
| 71 |
+
"loss": 5.8332,
|
| 72 |
+
"step": 4500
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.7265329845975007,
|
| 76 |
+
"grad_norm": 0.6860383152961731,
|
| 77 |
+
"learning_rate": 9.927346701540251e-06,
|
| 78 |
+
"loss": 5.7695,
|
| 79 |
+
"step": 5000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.7991862830572508,
|
| 83 |
+
"grad_norm": 0.7735297679901123,
|
| 84 |
+
"learning_rate": 9.920081371694276e-06,
|
| 85 |
+
"loss": 5.7068,
|
| 86 |
+
"step": 5500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.8718395815170009,
|
| 90 |
+
"grad_norm": 0.6047775745391846,
|
| 91 |
+
"learning_rate": 9.912816041848301e-06,
|
| 92 |
+
"loss": 5.65,
|
| 93 |
+
"step": 6000
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.9444928799767509,
|
| 97 |
+
"grad_norm": 0.8214231133460999,
|
| 98 |
+
"learning_rate": 9.905550712002325e-06,
|
| 99 |
+
"loss": 5.6052,
|
| 100 |
+
"step": 6500
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 1.017146178436501,
|
| 104 |
+
"grad_norm": 0.8017473816871643,
|
| 105 |
+
"learning_rate": 9.89828538215635e-06,
|
| 106 |
+
"loss": 5.5515,
|
| 107 |
+
"step": 7000
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 1.0897994768962511,
|
| 111 |
+
"grad_norm": 0.7803598642349243,
|
| 112 |
+
"learning_rate": 9.891020052310377e-06,
|
| 113 |
+
"loss": 5.5058,
|
| 114 |
+
"step": 7500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 1.1624527753560012,
|
| 118 |
+
"grad_norm": 0.7102193236351013,
|
| 119 |
+
"learning_rate": 9.8837547224644e-06,
|
| 120 |
+
"loss": 5.4684,
|
| 121 |
+
"step": 8000
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 1.2351060738157513,
|
| 125 |
+
"grad_norm": 0.7121894359588623,
|
| 126 |
+
"learning_rate": 9.876489392618425e-06,
|
| 127 |
+
"loss": 5.4271,
|
| 128 |
+
"step": 8500
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.3077593722755014,
|
| 132 |
+
"grad_norm": 0.7547861337661743,
|
| 133 |
+
"learning_rate": 9.86922406277245e-06,
|
| 134 |
+
"loss": 5.397,
|
| 135 |
+
"step": 9000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 1.3804126707352513,
|
| 139 |
+
"grad_norm": 0.7697557210922241,
|
| 140 |
+
"learning_rate": 9.861958732926476e-06,
|
| 141 |
+
"loss": 5.3563,
|
| 142 |
+
"step": 9500
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 1.4530659691950014,
|
| 146 |
+
"grad_norm": 0.8195068836212158,
|
| 147 |
+
"learning_rate": 9.854693403080501e-06,
|
| 148 |
+
"loss": 5.3228,
|
| 149 |
+
"step": 10000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.5257192676547515,
|
| 153 |
+
"grad_norm": 0.7637478113174438,
|
| 154 |
+
"learning_rate": 9.847428073234524e-06,
|
| 155 |
+
"loss": 5.2946,
|
| 156 |
+
"step": 10500
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 1.5983725661145016,
|
| 160 |
+
"grad_norm": 0.8972837328910828,
|
| 161 |
+
"learning_rate": 9.840162743388551e-06,
|
| 162 |
+
"loss": 5.2588,
|
| 163 |
+
"step": 11000
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 1.6710258645742515,
|
| 167 |
+
"grad_norm": 0.9061026573181152,
|
| 168 |
+
"learning_rate": 9.832897413542576e-06,
|
| 169 |
+
"loss": 5.2321,
|
| 170 |
+
"step": 11500
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.7436791630340016,
|
| 174 |
+
"grad_norm": 0.7589295506477356,
|
| 175 |
+
"learning_rate": 9.8256320836966e-06,
|
| 176 |
+
"loss": 5.2065,
|
| 177 |
+
"step": 12000
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.8163324614937517,
|
| 181 |
+
"grad_norm": 0.8363276720046997,
|
| 182 |
+
"learning_rate": 9.818366753850625e-06,
|
| 183 |
+
"loss": 5.1819,
|
| 184 |
+
"step": 12500
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.8889857599535018,
|
| 188 |
+
"grad_norm": 0.8336675763130188,
|
| 189 |
+
"learning_rate": 9.81110142400465e-06,
|
| 190 |
+
"loss": 5.1575,
|
| 191 |
+
"step": 13000
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.961639058413252,
|
| 195 |
+
"grad_norm": 0.8027577996253967,
|
| 196 |
+
"learning_rate": 9.803836094158675e-06,
|
| 197 |
+
"loss": 5.1314,
|
| 198 |
+
"step": 13500
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 2.034292356873002,
|
| 202 |
+
"grad_norm": 0.7707503437995911,
|
| 203 |
+
"learning_rate": 9.7965707643127e-06,
|
| 204 |
+
"loss": 5.1088,
|
| 205 |
+
"step": 14000
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 2.106945655332752,
|
| 209 |
+
"grad_norm": 0.8998398184776306,
|
| 210 |
+
"learning_rate": 9.789305434466726e-06,
|
| 211 |
+
"loss": 5.0808,
|
| 212 |
+
"step": 14500
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 2.1795989537925022,
|
| 216 |
+
"grad_norm": 0.8320822715759277,
|
| 217 |
+
"learning_rate": 9.782040104620751e-06,
|
| 218 |
+
"loss": 5.0634,
|
| 219 |
+
"step": 15000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 2.2522522522522523,
|
| 223 |
+
"grad_norm": 0.8281899094581604,
|
| 224 |
+
"learning_rate": 9.774774774774776e-06,
|
| 225 |
+
"loss": 5.0444,
|
| 226 |
+
"step": 15500
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 2.3249055507120024,
|
| 230 |
+
"grad_norm": 0.8026254177093506,
|
| 231 |
+
"learning_rate": 9.767509444928801e-06,
|
| 232 |
+
"loss": 5.0179,
|
| 233 |
+
"step": 16000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 2.3975588491717525,
|
| 237 |
+
"grad_norm": 0.776054322719574,
|
| 238 |
+
"learning_rate": 9.760244115082825e-06,
|
| 239 |
+
"loss": 5.0009,
|
| 240 |
+
"step": 16500
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 2.4702121476315027,
|
| 244 |
+
"grad_norm": 0.8994656801223755,
|
| 245 |
+
"learning_rate": 9.75297878523685e-06,
|
| 246 |
+
"loss": 4.9812,
|
| 247 |
+
"step": 17000
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 2.5428654460912528,
|
| 251 |
+
"grad_norm": 0.8583637475967407,
|
| 252 |
+
"learning_rate": 9.745713455390875e-06,
|
| 253 |
+
"loss": 4.9628,
|
| 254 |
+
"step": 17500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 2.615518744551003,
|
| 258 |
+
"grad_norm": 0.893622636795044,
|
| 259 |
+
"learning_rate": 9.7384481255449e-06,
|
| 260 |
+
"loss": 4.9464,
|
| 261 |
+
"step": 18000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 2.688172043010753,
|
| 265 |
+
"grad_norm": 0.8372634053230286,
|
| 266 |
+
"learning_rate": 9.731182795698925e-06,
|
| 267 |
+
"loss": 4.9304,
|
| 268 |
+
"step": 18500
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 2.7608253414705026,
|
| 272 |
+
"grad_norm": 0.9035200476646423,
|
| 273 |
+
"learning_rate": 9.72391746585295e-06,
|
| 274 |
+
"loss": 4.9127,
|
| 275 |
+
"step": 19000
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 2.8334786399302527,
|
| 279 |
+
"grad_norm": 0.8660902380943298,
|
| 280 |
+
"learning_rate": 9.716652136006976e-06,
|
| 281 |
+
"loss": 4.8998,
|
| 282 |
+
"step": 19500
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 2.906131938390003,
|
| 286 |
+
"grad_norm": 0.9463688731193542,
|
| 287 |
+
"learning_rate": 9.709386806161001e-06,
|
| 288 |
+
"loss": 4.8778,
|
| 289 |
+
"step": 20000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 2.978785236849753,
|
| 293 |
+
"grad_norm": 0.8671707510948181,
|
| 294 |
+
"learning_rate": 9.702121476315024e-06,
|
| 295 |
+
"loss": 4.8658,
|
| 296 |
+
"step": 20500
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 3.051438535309503,
|
| 300 |
+
"grad_norm": 0.9653003215789795,
|
| 301 |
+
"learning_rate": 9.69485614646905e-06,
|
| 302 |
+
"loss": 4.853,
|
| 303 |
+
"step": 21000
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 3.124091833769253,
|
| 307 |
+
"grad_norm": 0.8984787464141846,
|
| 308 |
+
"learning_rate": 9.687590816623077e-06,
|
| 309 |
+
"loss": 4.8364,
|
| 310 |
+
"step": 21500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 3.1967451322290033,
|
| 314 |
+
"grad_norm": 0.8803947567939758,
|
| 315 |
+
"learning_rate": 9.6803254867771e-06,
|
| 316 |
+
"loss": 4.8177,
|
| 317 |
+
"step": 22000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 3.2693984306887534,
|
| 321 |
+
"grad_norm": 0.8390781283378601,
|
| 322 |
+
"learning_rate": 9.673060156931125e-06,
|
| 323 |
+
"loss": 4.8077,
|
| 324 |
+
"step": 22500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 3.3420517291485035,
|
| 328 |
+
"grad_norm": 0.9399817585945129,
|
| 329 |
+
"learning_rate": 9.66579482708515e-06,
|
| 330 |
+
"loss": 4.7942,
|
| 331 |
+
"step": 23000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 3.4147050276082536,
|
| 335 |
+
"grad_norm": 0.864647626876831,
|
| 336 |
+
"learning_rate": 9.658529497239176e-06,
|
| 337 |
+
"loss": 4.7819,
|
| 338 |
+
"step": 23500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 3.4873583260680037,
|
| 342 |
+
"grad_norm": 0.863230288028717,
|
| 343 |
+
"learning_rate": 9.6512641673932e-06,
|
| 344 |
+
"loss": 4.7675,
|
| 345 |
+
"step": 24000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 3.5600116245277533,
|
| 349 |
+
"grad_norm": 0.9053711891174316,
|
| 350 |
+
"learning_rate": 9.643998837547224e-06,
|
| 351 |
+
"loss": 4.7562,
|
| 352 |
+
"step": 24500
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 3.6326649229875034,
|
| 356 |
+
"grad_norm": 0.9143590331077576,
|
| 357 |
+
"learning_rate": 9.636733507701251e-06,
|
| 358 |
+
"loss": 4.7408,
|
| 359 |
+
"step": 25000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 3.7053182214472535,
|
| 363 |
+
"grad_norm": 0.8819567561149597,
|
| 364 |
+
"learning_rate": 9.629468177855276e-06,
|
| 365 |
+
"loss": 4.7347,
|
| 366 |
+
"step": 25500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 3.7779715199070036,
|
| 370 |
+
"grad_norm": 0.9433513283729553,
|
| 371 |
+
"learning_rate": 9.6222028480093e-06,
|
| 372 |
+
"loss": 4.7227,
|
| 373 |
+
"step": 26000
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 3.8506248183667537,
|
| 377 |
+
"grad_norm": 0.9881005883216858,
|
| 378 |
+
"learning_rate": 9.614937518163325e-06,
|
| 379 |
+
"loss": 4.7096,
|
| 380 |
+
"step": 26500
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 3.923278116826504,
|
| 384 |
+
"grad_norm": 0.890139639377594,
|
| 385 |
+
"learning_rate": 9.60767218831735e-06,
|
| 386 |
+
"loss": 4.7,
|
| 387 |
+
"step": 27000
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 3.995931415286254,
|
| 391 |
+
"grad_norm": 0.9619746804237366,
|
| 392 |
+
"learning_rate": 9.600406858471375e-06,
|
| 393 |
+
"loss": 4.6879,
|
| 394 |
+
"step": 27500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 4.068584713746004,
|
| 398 |
+
"grad_norm": 0.8994712233543396,
|
| 399 |
+
"learning_rate": 9.5931415286254e-06,
|
| 400 |
+
"loss": 4.6762,
|
| 401 |
+
"step": 28000
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 4.141238012205754,
|
| 405 |
+
"grad_norm": 0.9636611938476562,
|
| 406 |
+
"learning_rate": 9.585876198779426e-06,
|
| 407 |
+
"loss": 4.6643,
|
| 408 |
+
"step": 28500
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 4.213891310665504,
|
| 412 |
+
"grad_norm": 0.8346700072288513,
|
| 413 |
+
"learning_rate": 9.57861086893345e-06,
|
| 414 |
+
"loss": 4.6541,
|
| 415 |
+
"step": 29000
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 4.286544609125254,
|
| 419 |
+
"grad_norm": 0.8618379831314087,
|
| 420 |
+
"learning_rate": 9.571345539087476e-06,
|
| 421 |
+
"loss": 4.6473,
|
| 422 |
+
"step": 29500
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 4.3591979075850045,
|
| 426 |
+
"grad_norm": 0.9965615272521973,
|
| 427 |
+
"learning_rate": 9.564080209241501e-06,
|
| 428 |
+
"loss": 4.636,
|
| 429 |
+
"step": 30000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 4.431851206044755,
|
| 433 |
+
"grad_norm": 0.9595836400985718,
|
| 434 |
+
"learning_rate": 9.556814879395525e-06,
|
| 435 |
+
"loss": 4.6262,
|
| 436 |
+
"step": 30500
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 4.504504504504505,
|
| 440 |
+
"grad_norm": 0.918498694896698,
|
| 441 |
+
"learning_rate": 9.54954954954955e-06,
|
| 442 |
+
"loss": 4.6139,
|
| 443 |
+
"step": 31000
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 4.577157802964255,
|
| 447 |
+
"grad_norm": 0.9323708415031433,
|
| 448 |
+
"learning_rate": 9.542284219703575e-06,
|
| 449 |
+
"loss": 4.6138,
|
| 450 |
+
"step": 31500
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 4.649811101424005,
|
| 454 |
+
"grad_norm": 0.9415541291236877,
|
| 455 |
+
"learning_rate": 9.5350188898576e-06,
|
| 456 |
+
"loss": 4.6008,
|
| 457 |
+
"step": 32000
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 4.722464399883755,
|
| 461 |
+
"grad_norm": 0.9424421787261963,
|
| 462 |
+
"learning_rate": 9.527753560011625e-06,
|
| 463 |
+
"loss": 4.5893,
|
| 464 |
+
"step": 32500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 4.795117698343505,
|
| 468 |
+
"grad_norm": 0.942669689655304,
|
| 469 |
+
"learning_rate": 9.52048823016565e-06,
|
| 470 |
+
"loss": 4.5866,
|
| 471 |
+
"step": 33000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 4.867770996803255,
|
| 475 |
+
"grad_norm": 0.9807618856430054,
|
| 476 |
+
"learning_rate": 9.513222900319676e-06,
|
| 477 |
+
"loss": 4.5736,
|
| 478 |
+
"step": 33500
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 4.940424295263005,
|
| 482 |
+
"grad_norm": 0.960895299911499,
|
| 483 |
+
"learning_rate": 9.5059575704737e-06,
|
| 484 |
+
"loss": 4.5619,
|
| 485 |
+
"step": 34000
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 5.013077593722755,
|
| 489 |
+
"grad_norm": 0.9801125526428223,
|
| 490 |
+
"learning_rate": 9.498692240627724e-06,
|
| 491 |
+
"loss": 4.5551,
|
| 492 |
+
"step": 34500
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 5.0857308921825055,
|
| 496 |
+
"grad_norm": 0.9244375228881836,
|
| 497 |
+
"learning_rate": 9.49142691078175e-06,
|
| 498 |
+
"loss": 4.5408,
|
| 499 |
+
"step": 35000
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 5.158384190642255,
|
| 503 |
+
"grad_norm": 0.9349271059036255,
|
| 504 |
+
"learning_rate": 9.484161580935776e-06,
|
| 505 |
+
"loss": 4.5358,
|
| 506 |
+
"step": 35500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 5.231037489102005,
|
| 510 |
+
"grad_norm": 0.9496700763702393,
|
| 511 |
+
"learning_rate": 9.4768962510898e-06,
|
| 512 |
+
"loss": 4.5284,
|
| 513 |
+
"step": 36000
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 5.303690787561755,
|
| 517 |
+
"grad_norm": 0.8824469447135925,
|
| 518 |
+
"learning_rate": 9.469630921243825e-06,
|
| 519 |
+
"loss": 4.5225,
|
| 520 |
+
"step": 36500
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 5.376344086021505,
|
| 524 |
+
"grad_norm": 0.9746178984642029,
|
| 525 |
+
"learning_rate": 9.46236559139785e-06,
|
| 526 |
+
"loss": 4.5084,
|
| 527 |
+
"step": 37000
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 5.448997384481255,
|
| 531 |
+
"grad_norm": 0.9742151498794556,
|
| 532 |
+
"learning_rate": 9.455100261551875e-06,
|
| 533 |
+
"loss": 4.5036,
|
| 534 |
+
"step": 37500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 5.521650682941005,
|
| 538 |
+
"grad_norm": 1.0122525691986084,
|
| 539 |
+
"learning_rate": 9.4478349317059e-06,
|
| 540 |
+
"loss": 4.4951,
|
| 541 |
+
"step": 38000
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 5.594303981400755,
|
| 545 |
+
"grad_norm": 0.9454242587089539,
|
| 546 |
+
"learning_rate": 9.440569601859924e-06,
|
| 547 |
+
"loss": 4.4844,
|
| 548 |
+
"step": 38500
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 5.6669572798605055,
|
| 552 |
+
"grad_norm": 0.9594370722770691,
|
| 553 |
+
"learning_rate": 9.43330427201395e-06,
|
| 554 |
+
"loss": 4.4776,
|
| 555 |
+
"step": 39000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 5.739610578320256,
|
| 559 |
+
"grad_norm": 0.9644564986228943,
|
| 560 |
+
"learning_rate": 9.426038942167976e-06,
|
| 561 |
+
"loss": 4.4748,
|
| 562 |
+
"step": 39500
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 5.812263876780006,
|
| 566 |
+
"grad_norm": 0.9564418792724609,
|
| 567 |
+
"learning_rate": 9.418773612322e-06,
|
| 568 |
+
"loss": 4.4592,
|
| 569 |
+
"step": 40000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 5.884917175239756,
|
| 573 |
+
"grad_norm": 0.9269986152648926,
|
| 574 |
+
"learning_rate": 9.411508282476025e-06,
|
| 575 |
+
"loss": 4.455,
|
| 576 |
+
"step": 40500
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 5.957570473699506,
|
| 580 |
+
"grad_norm": 0.9712278842926025,
|
| 581 |
+
"learning_rate": 9.40424295263005e-06,
|
| 582 |
+
"loss": 4.4455,
|
| 583 |
+
"step": 41000
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 6.030223772159256,
|
| 587 |
+
"grad_norm": 0.9372689723968506,
|
| 588 |
+
"learning_rate": 9.396977622784075e-06,
|
| 589 |
+
"loss": 4.4318,
|
| 590 |
+
"step": 41500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 6.102877070619006,
|
| 594 |
+
"grad_norm": 0.942115843296051,
|
| 595 |
+
"learning_rate": 9.3897122929381e-06,
|
| 596 |
+
"loss": 4.4264,
|
| 597 |
+
"step": 42000
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 6.175530369078756,
|
| 601 |
+
"grad_norm": 1.0541362762451172,
|
| 602 |
+
"learning_rate": 9.382446963092125e-06,
|
| 603 |
+
"loss": 4.4163,
|
| 604 |
+
"step": 42500
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 6.248183667538506,
|
| 608 |
+
"grad_norm": 0.9615015387535095,
|
| 609 |
+
"learning_rate": 9.37518163324615e-06,
|
| 610 |
+
"loss": 4.4096,
|
| 611 |
+
"step": 43000
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 6.320836965998256,
|
| 615 |
+
"grad_norm": 1.0179786682128906,
|
| 616 |
+
"learning_rate": 9.367916303400176e-06,
|
| 617 |
+
"loss": 4.4034,
|
| 618 |
+
"step": 43500
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 6.3934902644580065,
|
| 622 |
+
"grad_norm": 0.9816853404045105,
|
| 623 |
+
"learning_rate": 9.360650973554201e-06,
|
| 624 |
+
"loss": 4.3956,
|
| 625 |
+
"step": 44000
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 6.466143562917757,
|
| 629 |
+
"grad_norm": 1.0108842849731445,
|
| 630 |
+
"learning_rate": 9.353385643708224e-06,
|
| 631 |
+
"loss": 4.3811,
|
| 632 |
+
"step": 44500
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 6.538796861377507,
|
| 636 |
+
"grad_norm": 1.0273536443710327,
|
| 637 |
+
"learning_rate": 9.34612031386225e-06,
|
| 638 |
+
"loss": 4.3748,
|
| 639 |
+
"step": 45000
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 6.611450159837257,
|
| 643 |
+
"grad_norm": 0.9984000325202942,
|
| 644 |
+
"learning_rate": 9.338854984016275e-06,
|
| 645 |
+
"loss": 4.3711,
|
| 646 |
+
"step": 45500
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 6.684103458297007,
|
| 650 |
+
"grad_norm": 0.9320149421691895,
|
| 651 |
+
"learning_rate": 9.3315896541703e-06,
|
| 652 |
+
"loss": 4.3621,
|
| 653 |
+
"step": 46000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 6.756756756756757,
|
| 657 |
+
"grad_norm": 1.1042180061340332,
|
| 658 |
+
"learning_rate": 9.324324324324325e-06,
|
| 659 |
+
"loss": 4.3516,
|
| 660 |
+
"step": 46500
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 6.829410055216507,
|
| 664 |
+
"grad_norm": 0.9890114665031433,
|
| 665 |
+
"learning_rate": 9.31705899447835e-06,
|
| 666 |
+
"loss": 4.3464,
|
| 667 |
+
"step": 47000
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 6.902063353676257,
|
| 671 |
+
"grad_norm": 1.034157156944275,
|
| 672 |
+
"learning_rate": 9.309793664632375e-06,
|
| 673 |
+
"loss": 4.3374,
|
| 674 |
+
"step": 47500
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 6.974716652136007,
|
| 678 |
+
"grad_norm": 0.9817051887512207,
|
| 679 |
+
"learning_rate": 9.3025283347864e-06,
|
| 680 |
+
"loss": 4.3284,
|
| 681 |
+
"step": 48000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 7.047369950595757,
|
| 685 |
+
"grad_norm": 1.0558934211730957,
|
| 686 |
+
"learning_rate": 9.295263004940424e-06,
|
| 687 |
+
"loss": 4.3154,
|
| 688 |
+
"step": 48500
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 7.1200232490555075,
|
| 692 |
+
"grad_norm": 0.9428159594535828,
|
| 693 |
+
"learning_rate": 9.28799767509445e-06,
|
| 694 |
+
"loss": 4.3088,
|
| 695 |
+
"step": 49000
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 7.192676547515257,
|
| 699 |
+
"grad_norm": 1.0073195695877075,
|
| 700 |
+
"learning_rate": 9.280732345248476e-06,
|
| 701 |
+
"loss": 4.2983,
|
| 702 |
+
"step": 49500
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 7.265329845975007,
|
| 706 |
+
"grad_norm": 0.9252042174339294,
|
| 707 |
+
"learning_rate": 9.2734670154025e-06,
|
| 708 |
+
"loss": 4.2912,
|
| 709 |
+
"step": 50000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 7.337983144434757,
|
| 713 |
+
"grad_norm": 1.0058454275131226,
|
| 714 |
+
"learning_rate": 9.266201685556525e-06,
|
| 715 |
+
"loss": 4.2814,
|
| 716 |
+
"step": 50500
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 7.410636442894507,
|
| 720 |
+
"grad_norm": 1.0393654108047485,
|
| 721 |
+
"learning_rate": 9.25893635571055e-06,
|
| 722 |
+
"loss": 4.2693,
|
| 723 |
+
"step": 51000
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 7.483289741354257,
|
| 727 |
+
"grad_norm": 0.9429093599319458,
|
| 728 |
+
"learning_rate": 9.251671025864575e-06,
|
| 729 |
+
"loss": 4.2604,
|
| 730 |
+
"step": 51500
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 7.555943039814007,
|
| 734 |
+
"grad_norm": 0.9522086381912231,
|
| 735 |
+
"learning_rate": 9.2444056960186e-06,
|
| 736 |
+
"loss": 4.2499,
|
| 737 |
+
"step": 52000
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 7.628596338273757,
|
| 741 |
+
"grad_norm": 0.9854516386985779,
|
| 742 |
+
"learning_rate": 9.237140366172624e-06,
|
| 743 |
+
"loss": 4.2411,
|
| 744 |
+
"step": 52500
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 7.7012496367335075,
|
| 748 |
+
"grad_norm": 0.9321109056472778,
|
| 749 |
+
"learning_rate": 9.22987503632665e-06,
|
| 750 |
+
"loss": 4.2257,
|
| 751 |
+
"step": 53000
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 7.773902935193258,
|
| 755 |
+
"grad_norm": 0.9426267147064209,
|
| 756 |
+
"learning_rate": 9.222609706480676e-06,
|
| 757 |
+
"loss": 4.2225,
|
| 758 |
+
"step": 53500
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 7.846556233653008,
|
| 762 |
+
"grad_norm": 0.9784730672836304,
|
| 763 |
+
"learning_rate": 9.2153443766347e-06,
|
| 764 |
+
"loss": 4.2077,
|
| 765 |
+
"step": 54000
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 7.919209532112758,
|
| 769 |
+
"grad_norm": 0.9224970936775208,
|
| 770 |
+
"learning_rate": 9.208079046788724e-06,
|
| 771 |
+
"loss": 4.2029,
|
| 772 |
+
"step": 54500
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 7.991862830572508,
|
| 776 |
+
"grad_norm": 0.9461036920547485,
|
| 777 |
+
"learning_rate": 9.20081371694275e-06,
|
| 778 |
+
"loss": 4.1932,
|
| 779 |
+
"step": 55000
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 8.064516129032258,
|
| 783 |
+
"grad_norm": 0.9398289322853088,
|
| 784 |
+
"learning_rate": 9.193548387096775e-06,
|
| 785 |
+
"loss": 4.182,
|
| 786 |
+
"step": 55500
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 8.137169427492008,
|
| 790 |
+
"grad_norm": 0.9409332275390625,
|
| 791 |
+
"learning_rate": 9.1862830572508e-06,
|
| 792 |
+
"loss": 4.1696,
|
| 793 |
+
"step": 56000
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 8.209822725951758,
|
| 797 |
+
"grad_norm": 0.9343535304069519,
|
| 798 |
+
"learning_rate": 9.179017727404825e-06,
|
| 799 |
+
"loss": 4.1627,
|
| 800 |
+
"step": 56500
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 8.282476024411508,
|
| 804 |
+
"grad_norm": 0.96622234582901,
|
| 805 |
+
"learning_rate": 9.17175239755885e-06,
|
| 806 |
+
"loss": 4.1569,
|
| 807 |
+
"step": 57000
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 8.355129322871258,
|
| 811 |
+
"grad_norm": 0.9742193818092346,
|
| 812 |
+
"learning_rate": 9.164487067712876e-06,
|
| 813 |
+
"loss": 4.1494,
|
| 814 |
+
"step": 57500
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 8.427782621331009,
|
| 818 |
+
"grad_norm": 0.9126195907592773,
|
| 819 |
+
"learning_rate": 9.1572217378669e-06,
|
| 820 |
+
"loss": 4.1413,
|
| 821 |
+
"step": 58000
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 8.500435919790759,
|
| 825 |
+
"grad_norm": 0.978380024433136,
|
| 826 |
+
"learning_rate": 9.149956408020924e-06,
|
| 827 |
+
"loss": 4.1355,
|
| 828 |
+
"step": 58500
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 8.573089218250509,
|
| 832 |
+
"grad_norm": 0.943013608455658,
|
| 833 |
+
"learning_rate": 9.14269107817495e-06,
|
| 834 |
+
"loss": 4.1277,
|
| 835 |
+
"step": 59000
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 8.645742516710259,
|
| 839 |
+
"grad_norm": 0.9417549967765808,
|
| 840 |
+
"learning_rate": 9.135425748328975e-06,
|
| 841 |
+
"loss": 4.1254,
|
| 842 |
+
"step": 59500
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 8.718395815170009,
|
| 846 |
+
"grad_norm": 0.9427275061607361,
|
| 847 |
+
"learning_rate": 9.128160418483e-06,
|
| 848 |
+
"loss": 4.1183,
|
| 849 |
+
"step": 60000
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 8.791049113629759,
|
| 853 |
+
"grad_norm": 0.972618818283081,
|
| 854 |
+
"learning_rate": 9.120895088637025e-06,
|
| 855 |
+
"loss": 4.1094,
|
| 856 |
+
"step": 60500
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 8.86370241208951,
|
| 860 |
+
"grad_norm": 0.9143289923667908,
|
| 861 |
+
"learning_rate": 9.11362975879105e-06,
|
| 862 |
+
"loss": 4.1035,
|
| 863 |
+
"step": 61000
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 8.93635571054926,
|
| 867 |
+
"grad_norm": 0.961862325668335,
|
| 868 |
+
"learning_rate": 9.106364428945075e-06,
|
| 869 |
+
"loss": 4.1035,
|
| 870 |
+
"step": 61500
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 9.00900900900901,
|
| 874 |
+
"grad_norm": 0.9252375960350037,
|
| 875 |
+
"learning_rate": 9.0990990990991e-06,
|
| 876 |
+
"loss": 4.0923,
|
| 877 |
+
"step": 62000
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 9.08166230746876,
|
| 881 |
+
"grad_norm": 0.9321468472480774,
|
| 882 |
+
"learning_rate": 9.091833769253124e-06,
|
| 883 |
+
"loss": 4.0855,
|
| 884 |
+
"step": 62500
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 9.15431560592851,
|
| 888 |
+
"grad_norm": 0.9290264844894409,
|
| 889 |
+
"learning_rate": 9.084568439407149e-06,
|
| 890 |
+
"loss": 4.0847,
|
| 891 |
+
"step": 63000
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 9.22696890438826,
|
| 895 |
+
"grad_norm": 1.0008461475372314,
|
| 896 |
+
"learning_rate": 9.077303109561176e-06,
|
| 897 |
+
"loss": 4.0791,
|
| 898 |
+
"step": 63500
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 9.29962220284801,
|
| 902 |
+
"grad_norm": 1.0144729614257812,
|
| 903 |
+
"learning_rate": 9.0700377797152e-06,
|
| 904 |
+
"loss": 4.0724,
|
| 905 |
+
"step": 64000
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 9.321127579192096,
|
| 909 |
+
"step": 64148,
|
| 910 |
+
"total_flos": 5.363892569191219e+17,
|
| 911 |
+
"train_loss": 4.763968430426513,
|
| 912 |
+
"train_runtime": 93599.1484,
|
| 913 |
+
"train_samples_per_second": 705.822,
|
| 914 |
+
"train_steps_per_second": 7.353
|
| 915 |
+
}
|
| 916 |
+
],
|
| 917 |
+
"logging_steps": 500,
|
| 918 |
+
"max_steps": 688200,
|
| 919 |
+
"num_input_tokens_seen": 0,
|
| 920 |
+
"num_train_epochs": 100,
|
| 921 |
+
"save_steps": 1000000,
|
| 922 |
+
"stateful_callbacks": {
|
| 923 |
+
"TrainerControl": {
|
| 924 |
+
"args": {
|
| 925 |
+
"should_epoch_stop": false,
|
| 926 |
+
"should_evaluate": false,
|
| 927 |
+
"should_log": false,
|
| 928 |
+
"should_save": false,
|
| 929 |
+
"should_training_stop": false
|
| 930 |
+
},
|
| 931 |
+
"attributes": {}
|
| 932 |
+
}
|
| 933 |
+
},
|
| 934 |
+
"total_flos": 5.363892569191219e+17,
|
| 935 |
+
"train_batch_size": 96,
|
| 936 |
+
"trial_name": null,
|
| 937 |
+
"trial_params": null
|
| 938 |
+
}
|