Commit
•
c5f7dd4
1
Parent(s):
e4d16de
End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +836 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: mistralai/Mistral-7B-v0.1
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: hp_ablations_mistral_adambeta1_0.92_dcftv1.2
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# hp_ablations_mistral_adambeta1_0.92_dcftv1.2
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.0765
|
| 21 |
|
|
|
|
| 4 |
base_model: mistralai/Mistral-7B-v0.1
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: hp_ablations_mistral_adambeta1_0.92_dcftv1.2
|
|
|
|
| 16 |
|
| 17 |
# hp_ablations_mistral_adambeta1_0.92_dcftv1.2
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.0765
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.99695843190267,
|
| 3 |
+
"eval_loss": 0.07649821043014526,
|
| 4 |
+
"eval_runtime": 384.4835,
|
| 5 |
+
"eval_samples_per_second": 25.918,
|
| 6 |
+
"eval_steps_per_second": 0.406,
|
| 7 |
+
"total_flos": 1854056851046400.0,
|
| 8 |
+
"train_loss": 0.49201587243670264,
|
| 9 |
+
"train_runtime": 63342.9422,
|
| 10 |
+
"train_samples_per_second": 8.967,
|
| 11 |
+
"train_steps_per_second": 0.017
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.99695843190267,
|
| 3 |
+
"eval_loss": 0.07649821043014526,
|
| 4 |
+
"eval_runtime": 384.4835,
|
| 5 |
+
"eval_samples_per_second": 25.918,
|
| 6 |
+
"eval_steps_per_second": 0.406
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.99695843190267,
|
| 3 |
+
"total_flos": 1854056851046400.0,
|
| 4 |
+
"train_loss": 0.49201587243670264,
|
| 5 |
+
"train_runtime": 63342.9422,
|
| 6 |
+
"train_samples_per_second": 8.967,
|
| 7 |
+
"train_steps_per_second": 0.017
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,836 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.99695843190267,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1107,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.027036160865157147,
|
| 13 |
+
"grad_norm": 3.3627634794530086,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.8839,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.054072321730314295,
|
| 20 |
+
"grad_norm": 1.9703511972746102,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.6886,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.08110848259547145,
|
| 27 |
+
"grad_norm": 1.895618934030067,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.649,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.10814464346062859,
|
| 34 |
+
"grad_norm": 3.018653004689794,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.6375,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.13518080432578575,
|
| 41 |
+
"grad_norm": 2.253174703767421,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.6233,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1622169651909429,
|
| 48 |
+
"grad_norm": 2.5770804247981793,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.6164,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.18925312605610004,
|
| 55 |
+
"grad_norm": 1.9685443465813035,
|
| 56 |
+
"learning_rate": 5e-06,
|
| 57 |
+
"loss": 0.6127,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.21628928692125718,
|
| 62 |
+
"grad_norm": 2.1325268775254034,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.6039,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.24332544778641432,
|
| 69 |
+
"grad_norm": 1.4745840951249662,
|
| 70 |
+
"learning_rate": 5e-06,
|
| 71 |
+
"loss": 0.601,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.2703616086515715,
|
| 76 |
+
"grad_norm": 1.971048371029162,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.6032,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.29739776951672864,
|
| 83 |
+
"grad_norm": 1.6569004063408272,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.6012,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.3244339303818858,
|
| 90 |
+
"grad_norm": 2.057401724353791,
|
| 91 |
+
"learning_rate": 5e-06,
|
| 92 |
+
"loss": 0.5971,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.3514700912470429,
|
| 97 |
+
"grad_norm": 1.525579699451329,
|
| 98 |
+
"learning_rate": 5e-06,
|
| 99 |
+
"loss": 0.5993,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.37850625211220007,
|
| 104 |
+
"grad_norm": 1.60308792852181,
|
| 105 |
+
"learning_rate": 5e-06,
|
| 106 |
+
"loss": 0.5985,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.4055424129773572,
|
| 111 |
+
"grad_norm": 1.6398129211146073,
|
| 112 |
+
"learning_rate": 5e-06,
|
| 113 |
+
"loss": 0.5895,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.43257857384251436,
|
| 118 |
+
"grad_norm": 1.9310976828981994,
|
| 119 |
+
"learning_rate": 5e-06,
|
| 120 |
+
"loss": 0.5918,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.4596147347076715,
|
| 125 |
+
"grad_norm": 1.385584059931609,
|
| 126 |
+
"learning_rate": 5e-06,
|
| 127 |
+
"loss": 0.593,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.48665089557282865,
|
| 132 |
+
"grad_norm": 1.2861159852159507,
|
| 133 |
+
"learning_rate": 5e-06,
|
| 134 |
+
"loss": 0.5918,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.5136870564379858,
|
| 139 |
+
"grad_norm": 1.444176832285908,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.5885,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.540723217303143,
|
| 146 |
+
"grad_norm": 1.4862672671337698,
|
| 147 |
+
"learning_rate": 5e-06,
|
| 148 |
+
"loss": 0.5867,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.5677593781683001,
|
| 153 |
+
"grad_norm": 1.5075706410261351,
|
| 154 |
+
"learning_rate": 5e-06,
|
| 155 |
+
"loss": 0.5885,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.5947955390334573,
|
| 160 |
+
"grad_norm": 1.2766576640698686,
|
| 161 |
+
"learning_rate": 5e-06,
|
| 162 |
+
"loss": 0.5831,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.6218316998986144,
|
| 167 |
+
"grad_norm": 1.3449220128756942,
|
| 168 |
+
"learning_rate": 5e-06,
|
| 169 |
+
"loss": 0.5853,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.6488678607637716,
|
| 174 |
+
"grad_norm": 1.2820825044433828,
|
| 175 |
+
"learning_rate": 5e-06,
|
| 176 |
+
"loss": 0.5816,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.6759040216289287,
|
| 181 |
+
"grad_norm": 2.0436410705486927,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.575,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.7029401824940859,
|
| 188 |
+
"grad_norm": 1.5111257680075043,
|
| 189 |
+
"learning_rate": 5e-06,
|
| 190 |
+
"loss": 0.5781,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.729976343359243,
|
| 195 |
+
"grad_norm": 1.4284810364538454,
|
| 196 |
+
"learning_rate": 5e-06,
|
| 197 |
+
"loss": 0.5805,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.7570125042244001,
|
| 202 |
+
"grad_norm": 1.2912410275065467,
|
| 203 |
+
"learning_rate": 5e-06,
|
| 204 |
+
"loss": 0.5753,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.7840486650895573,
|
| 209 |
+
"grad_norm": 1.3589332122580937,
|
| 210 |
+
"learning_rate": 5e-06,
|
| 211 |
+
"loss": 0.5757,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.8110848259547144,
|
| 216 |
+
"grad_norm": 1.4270507706028406,
|
| 217 |
+
"learning_rate": 5e-06,
|
| 218 |
+
"loss": 0.5759,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.8381209868198716,
|
| 223 |
+
"grad_norm": 1.4167431698605149,
|
| 224 |
+
"learning_rate": 5e-06,
|
| 225 |
+
"loss": 0.5728,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.8651571476850287,
|
| 230 |
+
"grad_norm": 1.476127949628171,
|
| 231 |
+
"learning_rate": 5e-06,
|
| 232 |
+
"loss": 0.5711,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.8921933085501859,
|
| 237 |
+
"grad_norm": 1.3615337414773585,
|
| 238 |
+
"learning_rate": 5e-06,
|
| 239 |
+
"loss": 0.5729,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.919229469415343,
|
| 244 |
+
"grad_norm": 1.3530496841079478,
|
| 245 |
+
"learning_rate": 5e-06,
|
| 246 |
+
"loss": 0.5797,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.9462656302805001,
|
| 251 |
+
"grad_norm": 1.6939163932161898,
|
| 252 |
+
"learning_rate": 5e-06,
|
| 253 |
+
"loss": 0.5713,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.9733017911456573,
|
| 258 |
+
"grad_norm": 1.2503611827765622,
|
| 259 |
+
"learning_rate": 5e-06,
|
| 260 |
+
"loss": 0.5711,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.9976343359242987,
|
| 265 |
+
"eval_loss": 0.07110526412725449,
|
| 266 |
+
"eval_runtime": 379.7453,
|
| 267 |
+
"eval_samples_per_second": 26.241,
|
| 268 |
+
"eval_steps_per_second": 0.411,
|
| 269 |
+
"step": 369
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.0023656640757013,
|
| 273 |
+
"grad_norm": 2.951009083063046,
|
| 274 |
+
"learning_rate": 5e-06,
|
| 275 |
+
"loss": 0.5659,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.0294018249408583,
|
| 280 |
+
"grad_norm": 2.275911553065513,
|
| 281 |
+
"learning_rate": 5e-06,
|
| 282 |
+
"loss": 0.4791,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.0564379858060156,
|
| 287 |
+
"grad_norm": 1.9146887520712665,
|
| 288 |
+
"learning_rate": 5e-06,
|
| 289 |
+
"loss": 0.4742,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.0834741466711728,
|
| 294 |
+
"grad_norm": 1.7060151561064856,
|
| 295 |
+
"learning_rate": 5e-06,
|
| 296 |
+
"loss": 0.4754,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.1105103075363298,
|
| 301 |
+
"grad_norm": 1.4307333510541713,
|
| 302 |
+
"learning_rate": 5e-06,
|
| 303 |
+
"loss": 0.4723,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.1375464684014869,
|
| 308 |
+
"grad_norm": 1.3914100165165024,
|
| 309 |
+
"learning_rate": 5e-06,
|
| 310 |
+
"loss": 0.4744,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.1645826292666441,
|
| 315 |
+
"grad_norm": 1.7655561621577454,
|
| 316 |
+
"learning_rate": 5e-06,
|
| 317 |
+
"loss": 0.4823,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.1916187901318014,
|
| 322 |
+
"grad_norm": 1.750541560120252,
|
| 323 |
+
"learning_rate": 5e-06,
|
| 324 |
+
"loss": 0.4746,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.2186549509969584,
|
| 329 |
+
"grad_norm": 1.3542180298546558,
|
| 330 |
+
"learning_rate": 5e-06,
|
| 331 |
+
"loss": 0.4795,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.2456911118621157,
|
| 336 |
+
"grad_norm": 1.3487709786995525,
|
| 337 |
+
"learning_rate": 5e-06,
|
| 338 |
+
"loss": 0.4811,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.2727272727272727,
|
| 343 |
+
"grad_norm": 1.4890081594482487,
|
| 344 |
+
"learning_rate": 5e-06,
|
| 345 |
+
"loss": 0.4838,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.29976343359243,
|
| 350 |
+
"grad_norm": 1.6710110403178111,
|
| 351 |
+
"learning_rate": 5e-06,
|
| 352 |
+
"loss": 0.4803,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.326799594457587,
|
| 357 |
+
"grad_norm": 1.3946918887630642,
|
| 358 |
+
"learning_rate": 5e-06,
|
| 359 |
+
"loss": 0.4814,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.3538357553227442,
|
| 364 |
+
"grad_norm": 1.349529389304425,
|
| 365 |
+
"learning_rate": 5e-06,
|
| 366 |
+
"loss": 0.4838,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.3808719161879013,
|
| 371 |
+
"grad_norm": 1.7196111346917198,
|
| 372 |
+
"learning_rate": 5e-06,
|
| 373 |
+
"loss": 0.4834,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.4079080770530585,
|
| 378 |
+
"grad_norm": 1.3671419685233817,
|
| 379 |
+
"learning_rate": 5e-06,
|
| 380 |
+
"loss": 0.4868,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.4349442379182156,
|
| 385 |
+
"grad_norm": 1.6390806735333066,
|
| 386 |
+
"learning_rate": 5e-06,
|
| 387 |
+
"loss": 0.4797,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.4619803987833728,
|
| 392 |
+
"grad_norm": 2.033732375443223,
|
| 393 |
+
"learning_rate": 5e-06,
|
| 394 |
+
"loss": 0.4838,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.4890165596485299,
|
| 399 |
+
"grad_norm": 1.6780750098228978,
|
| 400 |
+
"learning_rate": 5e-06,
|
| 401 |
+
"loss": 0.4828,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.5160527205136871,
|
| 406 |
+
"grad_norm": 1.4650147086655332,
|
| 407 |
+
"learning_rate": 5e-06,
|
| 408 |
+
"loss": 0.4833,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.5430888813788441,
|
| 413 |
+
"grad_norm": 1.6474963909234748,
|
| 414 |
+
"learning_rate": 5e-06,
|
| 415 |
+
"loss": 0.4801,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.5701250422440014,
|
| 420 |
+
"grad_norm": 1.2672048074445312,
|
| 421 |
+
"learning_rate": 5e-06,
|
| 422 |
+
"loss": 0.4821,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.5971612031091587,
|
| 427 |
+
"grad_norm": 1.2455105330473952,
|
| 428 |
+
"learning_rate": 5e-06,
|
| 429 |
+
"loss": 0.4858,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.6241973639743157,
|
| 434 |
+
"grad_norm": 1.3365218119955355,
|
| 435 |
+
"learning_rate": 5e-06,
|
| 436 |
+
"loss": 0.4826,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.6512335248394727,
|
| 441 |
+
"grad_norm": 1.453771936609652,
|
| 442 |
+
"learning_rate": 5e-06,
|
| 443 |
+
"loss": 0.4824,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.67826968570463,
|
| 448 |
+
"grad_norm": 1.3826705153584662,
|
| 449 |
+
"learning_rate": 5e-06,
|
| 450 |
+
"loss": 0.4872,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.7053058465697872,
|
| 455 |
+
"grad_norm": 1.3948399069255963,
|
| 456 |
+
"learning_rate": 5e-06,
|
| 457 |
+
"loss": 0.4923,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.7323420074349443,
|
| 462 |
+
"grad_norm": 1.3015399889788772,
|
| 463 |
+
"learning_rate": 5e-06,
|
| 464 |
+
"loss": 0.4897,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.7593781683001013,
|
| 469 |
+
"grad_norm": 1.5649098361174691,
|
| 470 |
+
"learning_rate": 5e-06,
|
| 471 |
+
"loss": 0.4882,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.7864143291652586,
|
| 476 |
+
"grad_norm": 1.4369334673977943,
|
| 477 |
+
"learning_rate": 5e-06,
|
| 478 |
+
"loss": 0.4856,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.8134504900304158,
|
| 483 |
+
"grad_norm": 1.3582444869164498,
|
| 484 |
+
"learning_rate": 5e-06,
|
| 485 |
+
"loss": 0.4872,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.8404866508955728,
|
| 490 |
+
"grad_norm": 1.4410245166819187,
|
| 491 |
+
"learning_rate": 5e-06,
|
| 492 |
+
"loss": 0.4902,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.8675228117607299,
|
| 497 |
+
"grad_norm": 1.2401548016118424,
|
| 498 |
+
"learning_rate": 5e-06,
|
| 499 |
+
"loss": 0.4876,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.8945589726258871,
|
| 504 |
+
"grad_norm": 1.3435104700539477,
|
| 505 |
+
"learning_rate": 5e-06,
|
| 506 |
+
"loss": 0.4906,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.9215951334910444,
|
| 511 |
+
"grad_norm": 1.4535634930233825,
|
| 512 |
+
"learning_rate": 5e-06,
|
| 513 |
+
"loss": 0.4955,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.9486312943562014,
|
| 518 |
+
"grad_norm": 1.267760090624259,
|
| 519 |
+
"learning_rate": 5e-06,
|
| 520 |
+
"loss": 0.4887,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.9756674552213584,
|
| 525 |
+
"grad_norm": 1.2488776839475728,
|
| 526 |
+
"learning_rate": 5e-06,
|
| 527 |
+
"loss": 0.4845,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.9972963839134843,
|
| 532 |
+
"eval_loss": 0.07172359526157379,
|
| 533 |
+
"eval_runtime": 380.951,
|
| 534 |
+
"eval_samples_per_second": 26.158,
|
| 535 |
+
"eval_steps_per_second": 0.41,
|
| 536 |
+
"step": 738
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.0047313281514025,
|
| 540 |
+
"grad_norm": 3.0892791498740326,
|
| 541 |
+
"learning_rate": 5e-06,
|
| 542 |
+
"loss": 0.4728,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.0317674890165596,
|
| 547 |
+
"grad_norm": 2.0695271423861037,
|
| 548 |
+
"learning_rate": 5e-06,
|
| 549 |
+
"loss": 0.3816,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.0588036498817166,
|
| 554 |
+
"grad_norm": 1.694338271769957,
|
| 555 |
+
"learning_rate": 5e-06,
|
| 556 |
+
"loss": 0.3823,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.085839810746874,
|
| 561 |
+
"grad_norm": 1.492703018660841,
|
| 562 |
+
"learning_rate": 5e-06,
|
| 563 |
+
"loss": 0.3768,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.112875971612031,
|
| 568 |
+
"grad_norm": 1.6552377461262013,
|
| 569 |
+
"learning_rate": 5e-06,
|
| 570 |
+
"loss": 0.3769,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.139912132477188,
|
| 575 |
+
"grad_norm": 1.9420361419361558,
|
| 576 |
+
"learning_rate": 5e-06,
|
| 577 |
+
"loss": 0.3761,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.1669482933423456,
|
| 582 |
+
"grad_norm": 1.5563624108859666,
|
| 583 |
+
"learning_rate": 5e-06,
|
| 584 |
+
"loss": 0.3826,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.1939844542075027,
|
| 589 |
+
"grad_norm": 1.7915429380933352,
|
| 590 |
+
"learning_rate": 5e-06,
|
| 591 |
+
"loss": 0.3804,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.2210206150726597,
|
| 596 |
+
"grad_norm": 1.5584683923881884,
|
| 597 |
+
"learning_rate": 5e-06,
|
| 598 |
+
"loss": 0.3816,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.2480567759378167,
|
| 603 |
+
"grad_norm": 1.60097536516568,
|
| 604 |
+
"learning_rate": 5e-06,
|
| 605 |
+
"loss": 0.3844,
|
| 606 |
+
"step": 830
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.2750929368029738,
|
| 610 |
+
"grad_norm": 1.6548064908062865,
|
| 611 |
+
"learning_rate": 5e-06,
|
| 612 |
+
"loss": 0.3865,
|
| 613 |
+
"step": 840
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.3021290976681312,
|
| 617 |
+
"grad_norm": 1.7027619140998314,
|
| 618 |
+
"learning_rate": 5e-06,
|
| 619 |
+
"loss": 0.3818,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.3291652585332883,
|
| 624 |
+
"grad_norm": 1.6016849568444829,
|
| 625 |
+
"learning_rate": 5e-06,
|
| 626 |
+
"loss": 0.3847,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.3562014193984453,
|
| 631 |
+
"grad_norm": 1.8796231385046944,
|
| 632 |
+
"learning_rate": 5e-06,
|
| 633 |
+
"loss": 0.39,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.3832375802636028,
|
| 638 |
+
"grad_norm": 1.5319470307978418,
|
| 639 |
+
"learning_rate": 5e-06,
|
| 640 |
+
"loss": 0.3892,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.41027374112876,
|
| 645 |
+
"grad_norm": 1.7017719120193255,
|
| 646 |
+
"learning_rate": 5e-06,
|
| 647 |
+
"loss": 0.3881,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.437309901993917,
|
| 652 |
+
"grad_norm": 1.5344718368107968,
|
| 653 |
+
"learning_rate": 5e-06,
|
| 654 |
+
"loss": 0.3873,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.464346062859074,
|
| 659 |
+
"grad_norm": 1.6102507634771308,
|
| 660 |
+
"learning_rate": 5e-06,
|
| 661 |
+
"loss": 0.3854,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.4913822237242313,
|
| 666 |
+
"grad_norm": 1.6690069949519504,
|
| 667 |
+
"learning_rate": 5e-06,
|
| 668 |
+
"loss": 0.3872,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.5184183845893884,
|
| 673 |
+
"grad_norm": 1.5743935677314018,
|
| 674 |
+
"learning_rate": 5e-06,
|
| 675 |
+
"loss": 0.3867,
|
| 676 |
+
"step": 930
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 2.5454545454545454,
|
| 680 |
+
"grad_norm": 1.5720807503966818,
|
| 681 |
+
"learning_rate": 5e-06,
|
| 682 |
+
"loss": 0.394,
|
| 683 |
+
"step": 940
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.5724907063197024,
|
| 687 |
+
"grad_norm": 1.4596744684339498,
|
| 688 |
+
"learning_rate": 5e-06,
|
| 689 |
+
"loss": 0.3896,
|
| 690 |
+
"step": 950
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 2.59952686718486,
|
| 694 |
+
"grad_norm": 1.4774112887538513,
|
| 695 |
+
"learning_rate": 5e-06,
|
| 696 |
+
"loss": 0.3959,
|
| 697 |
+
"step": 960
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 2.626563028050017,
|
| 701 |
+
"grad_norm": 1.6927054304904465,
|
| 702 |
+
"learning_rate": 5e-06,
|
| 703 |
+
"loss": 0.3946,
|
| 704 |
+
"step": 970
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.653599188915174,
|
| 708 |
+
"grad_norm": 1.6990634986226298,
|
| 709 |
+
"learning_rate": 5e-06,
|
| 710 |
+
"loss": 0.399,
|
| 711 |
+
"step": 980
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.6806353497803315,
|
| 715 |
+
"grad_norm": 1.5811069605653503,
|
| 716 |
+
"learning_rate": 5e-06,
|
| 717 |
+
"loss": 0.3968,
|
| 718 |
+
"step": 990
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 2.7076715106454885,
|
| 722 |
+
"grad_norm": 1.929742002611046,
|
| 723 |
+
"learning_rate": 5e-06,
|
| 724 |
+
"loss": 0.3906,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 2.7347076715106455,
|
| 729 |
+
"grad_norm": 1.4332871535309044,
|
| 730 |
+
"learning_rate": 5e-06,
|
| 731 |
+
"loss": 0.3984,
|
| 732 |
+
"step": 1010
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 2.7617438323758026,
|
| 736 |
+
"grad_norm": 1.6711055842838813,
|
| 737 |
+
"learning_rate": 5e-06,
|
| 738 |
+
"loss": 0.4002,
|
| 739 |
+
"step": 1020
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 2.7887799932409596,
|
| 743 |
+
"grad_norm": 1.6261611517040526,
|
| 744 |
+
"learning_rate": 5e-06,
|
| 745 |
+
"loss": 0.3984,
|
| 746 |
+
"step": 1030
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 2.815816154106117,
|
| 750 |
+
"grad_norm": 1.4326621075330992,
|
| 751 |
+
"learning_rate": 5e-06,
|
| 752 |
+
"loss": 0.3972,
|
| 753 |
+
"step": 1040
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 2.842852314971274,
|
| 757 |
+
"grad_norm": 1.4683518261050355,
|
| 758 |
+
"learning_rate": 5e-06,
|
| 759 |
+
"loss": 0.399,
|
| 760 |
+
"step": 1050
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 2.869888475836431,
|
| 764 |
+
"grad_norm": 1.4432147424830148,
|
| 765 |
+
"learning_rate": 5e-06,
|
| 766 |
+
"loss": 0.3953,
|
| 767 |
+
"step": 1060
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 2.8969246367015886,
|
| 771 |
+
"grad_norm": 1.4795447507798194,
|
| 772 |
+
"learning_rate": 5e-06,
|
| 773 |
+
"loss": 0.4029,
|
| 774 |
+
"step": 1070
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 2.9239607975667457,
|
| 778 |
+
"grad_norm": 1.54599126728265,
|
| 779 |
+
"learning_rate": 5e-06,
|
| 780 |
+
"loss": 0.3982,
|
| 781 |
+
"step": 1080
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 2.9509969584319027,
|
| 785 |
+
"grad_norm": 1.4383101466258315,
|
| 786 |
+
"learning_rate": 5e-06,
|
| 787 |
+
"loss": 0.4018,
|
| 788 |
+
"step": 1090
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 2.9780331192970597,
|
| 792 |
+
"grad_norm": 1.3572001471611468,
|
| 793 |
+
"learning_rate": 5e-06,
|
| 794 |
+
"loss": 0.401,
|
| 795 |
+
"step": 1100
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.99695843190267,
|
| 799 |
+
"eval_loss": 0.07649821043014526,
|
| 800 |
+
"eval_runtime": 382.4679,
|
| 801 |
+
"eval_samples_per_second": 26.054,
|
| 802 |
+
"eval_steps_per_second": 0.408,
|
| 803 |
+
"step": 1107
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 2.99695843190267,
|
| 807 |
+
"step": 1107,
|
| 808 |
+
"total_flos": 1854056851046400.0,
|
| 809 |
+
"train_loss": 0.49201587243670264,
|
| 810 |
+
"train_runtime": 63342.9422,
|
| 811 |
+
"train_samples_per_second": 8.967,
|
| 812 |
+
"train_steps_per_second": 0.017
|
| 813 |
+
}
|
| 814 |
+
],
|
| 815 |
+
"logging_steps": 10,
|
| 816 |
+
"max_steps": 1107,
|
| 817 |
+
"num_input_tokens_seen": 0,
|
| 818 |
+
"num_train_epochs": 3,
|
| 819 |
+
"save_steps": 500,
|
| 820 |
+
"stateful_callbacks": {
|
| 821 |
+
"TrainerControl": {
|
| 822 |
+
"args": {
|
| 823 |
+
"should_epoch_stop": false,
|
| 824 |
+
"should_evaluate": false,
|
| 825 |
+
"should_log": false,
|
| 826 |
+
"should_save": true,
|
| 827 |
+
"should_training_stop": true
|
| 828 |
+
},
|
| 829 |
+
"attributes": {}
|
| 830 |
+
}
|
| 831 |
+
},
|
| 832 |
+
"total_flos": 1854056851046400.0,
|
| 833 |
+
"train_batch_size": 8,
|
| 834 |
+
"trial_name": null,
|
| 835 |
+
"trial_params": null
|
| 836 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|