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 +780 -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: Qwen/Qwen2.5-7B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: hp_ablations_qwen_lr5e-6_dcftv1.2
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# hp_ablations_qwen_lr5e-6_dcftv1.2
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.6331
|
| 21 |
|
|
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: hp_ablations_qwen_lr5e-6_dcftv1.2
|
|
|
|
| 16 |
|
| 17 |
# hp_ablations_qwen_lr5e-6_dcftv1.2
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) 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: 0.6331
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9956108266276518,
|
| 3 |
+
"eval_loss": 0.6330604553222656,
|
| 4 |
+
"eval_runtime": 349.8916,
|
| 5 |
+
"eval_samples_per_second": 26.32,
|
| 6 |
+
"eval_steps_per_second": 0.412,
|
| 7 |
+
"total_flos": 2144987064041472.0,
|
| 8 |
+
"train_loss": 0.6141412728925837,
|
| 9 |
+
"train_runtime": 55205.9507,
|
| 10 |
+
"train_samples_per_second": 9.507,
|
| 11 |
+
"train_steps_per_second": 0.019
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9956108266276518,
|
| 3 |
+
"eval_loss": 0.6330604553222656,
|
| 4 |
+
"eval_runtime": 349.8916,
|
| 5 |
+
"eval_samples_per_second": 26.32,
|
| 6 |
+
"eval_steps_per_second": 0.412
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9956108266276518,
|
| 3 |
+
"total_flos": 2144987064041472.0,
|
| 4 |
+
"train_loss": 0.6141412728925837,
|
| 5 |
+
"train_runtime": 55205.9507,
|
| 6 |
+
"train_samples_per_second": 9.507,
|
| 7 |
+
"train_steps_per_second": 0.019
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,780 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9956108266276518,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1023,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.029261155815654718,
|
| 13 |
+
"grad_norm": 2.817451946105921,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.7976,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.058522311631309436,
|
| 20 |
+
"grad_norm": 1.284434355820121,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.7389,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.08778346744696415,
|
| 27 |
+
"grad_norm": 1.2876126989168348,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.7071,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.11704462326261887,
|
| 34 |
+
"grad_norm": 1.094058121641866,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.6965,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.14630577907827358,
|
| 41 |
+
"grad_norm": 1.148621345747248,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.687,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1755669348939283,
|
| 48 |
+
"grad_norm": 0.9050464163153896,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.6765,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.20482809070958302,
|
| 55 |
+
"grad_norm": 0.5948745622322165,
|
| 56 |
+
"learning_rate": 5e-06,
|
| 57 |
+
"loss": 0.6699,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.23408924652523774,
|
| 62 |
+
"grad_norm": 0.4179284598235861,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.6647,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.26335040234089246,
|
| 69 |
+
"grad_norm": 0.4320197149625007,
|
| 70 |
+
"learning_rate": 5e-06,
|
| 71 |
+
"loss": 0.6619,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.29261155815654716,
|
| 76 |
+
"grad_norm": 0.45765152029005024,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.6543,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.3218727139722019,
|
| 83 |
+
"grad_norm": 0.4044893755849006,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.6632,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.3511338697878566,
|
| 90 |
+
"grad_norm": 0.35821605431124326,
|
| 91 |
+
"learning_rate": 5e-06,
|
| 92 |
+
"loss": 0.668,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.38039502560351135,
|
| 97 |
+
"grad_norm": 0.3756878575578981,
|
| 98 |
+
"learning_rate": 5e-06,
|
| 99 |
+
"loss": 0.6518,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.40965618141916604,
|
| 104 |
+
"grad_norm": 0.3621384928557948,
|
| 105 |
+
"learning_rate": 5e-06,
|
| 106 |
+
"loss": 0.6525,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.4389173372348208,
|
| 111 |
+
"grad_norm": 0.3496185059505636,
|
| 112 |
+
"learning_rate": 5e-06,
|
| 113 |
+
"loss": 0.648,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.4681784930504755,
|
| 118 |
+
"grad_norm": 0.3872142083182003,
|
| 119 |
+
"learning_rate": 5e-06,
|
| 120 |
+
"loss": 0.6498,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.49743964886613024,
|
| 125 |
+
"grad_norm": 0.3658858276235106,
|
| 126 |
+
"learning_rate": 5e-06,
|
| 127 |
+
"loss": 0.6549,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5267008046817849,
|
| 132 |
+
"grad_norm": 0.3357007312829614,
|
| 133 |
+
"learning_rate": 5e-06,
|
| 134 |
+
"loss": 0.6546,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.5559619604974396,
|
| 139 |
+
"grad_norm": 0.3562481959188732,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.6431,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.5852231163130943,
|
| 146 |
+
"grad_norm": 0.344934498132061,
|
| 147 |
+
"learning_rate": 5e-06,
|
| 148 |
+
"loss": 0.6443,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6144842721287491,
|
| 153 |
+
"grad_norm": 0.34218669140197133,
|
| 154 |
+
"learning_rate": 5e-06,
|
| 155 |
+
"loss": 0.6509,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.6437454279444038,
|
| 160 |
+
"grad_norm": 0.35256592076055937,
|
| 161 |
+
"learning_rate": 5e-06,
|
| 162 |
+
"loss": 0.6389,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.6730065837600585,
|
| 167 |
+
"grad_norm": 0.36473082870109524,
|
| 168 |
+
"learning_rate": 5e-06,
|
| 169 |
+
"loss": 0.6388,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7022677395757132,
|
| 174 |
+
"grad_norm": 0.3299100883057849,
|
| 175 |
+
"learning_rate": 5e-06,
|
| 176 |
+
"loss": 0.6456,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.731528895391368,
|
| 181 |
+
"grad_norm": 0.3416365052817771,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.644,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.7607900512070227,
|
| 188 |
+
"grad_norm": 0.34197703127811097,
|
| 189 |
+
"learning_rate": 5e-06,
|
| 190 |
+
"loss": 0.6466,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.7900512070226774,
|
| 195 |
+
"grad_norm": 0.37223452358809667,
|
| 196 |
+
"learning_rate": 5e-06,
|
| 197 |
+
"loss": 0.6489,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.8193123628383321,
|
| 202 |
+
"grad_norm": 0.33976179205185286,
|
| 203 |
+
"learning_rate": 5e-06,
|
| 204 |
+
"loss": 0.6477,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.8485735186539868,
|
| 209 |
+
"grad_norm": 0.3398894606792935,
|
| 210 |
+
"learning_rate": 5e-06,
|
| 211 |
+
"loss": 0.6399,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.8778346744696416,
|
| 216 |
+
"grad_norm": 0.3510531345907806,
|
| 217 |
+
"learning_rate": 5e-06,
|
| 218 |
+
"loss": 0.6318,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.9070958302852963,
|
| 223 |
+
"grad_norm": 0.3558397390544605,
|
| 224 |
+
"learning_rate": 5e-06,
|
| 225 |
+
"loss": 0.6449,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.936356986100951,
|
| 230 |
+
"grad_norm": 0.3356596511911474,
|
| 231 |
+
"learning_rate": 5e-06,
|
| 232 |
+
"loss": 0.6369,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.9656181419166057,
|
| 237 |
+
"grad_norm": 0.37733017841506045,
|
| 238 |
+
"learning_rate": 5e-06,
|
| 239 |
+
"loss": 0.6401,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.9948792977322605,
|
| 244 |
+
"grad_norm": 0.34951561267640846,
|
| 245 |
+
"learning_rate": 5e-06,
|
| 246 |
+
"loss": 0.6361,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.9978054133138259,
|
| 251 |
+
"eval_loss": 0.6406562924385071,
|
| 252 |
+
"eval_runtime": 346.2688,
|
| 253 |
+
"eval_samples_per_second": 26.595,
|
| 254 |
+
"eval_steps_per_second": 0.416,
|
| 255 |
+
"step": 341
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.025237746891002,
|
| 259 |
+
"grad_norm": 0.3690522380396755,
|
| 260 |
+
"learning_rate": 5e-06,
|
| 261 |
+
"loss": 0.6513,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.054498902706657,
|
| 266 |
+
"grad_norm": 0.34935298880477006,
|
| 267 |
+
"learning_rate": 5e-06,
|
| 268 |
+
"loss": 0.6055,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.0837600585223117,
|
| 273 |
+
"grad_norm": 0.4071561749341452,
|
| 274 |
+
"learning_rate": 5e-06,
|
| 275 |
+
"loss": 0.6089,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.1130212143379663,
|
| 280 |
+
"grad_norm": 0.3423935118081486,
|
| 281 |
+
"learning_rate": 5e-06,
|
| 282 |
+
"loss": 0.6063,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.142282370153621,
|
| 287 |
+
"grad_norm": 0.40033069734559046,
|
| 288 |
+
"learning_rate": 5e-06,
|
| 289 |
+
"loss": 0.6116,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.1715435259692757,
|
| 294 |
+
"grad_norm": 0.35662843692652024,
|
| 295 |
+
"learning_rate": 5e-06,
|
| 296 |
+
"loss": 0.613,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.2008046817849305,
|
| 301 |
+
"grad_norm": 0.3579810712341978,
|
| 302 |
+
"learning_rate": 5e-06,
|
| 303 |
+
"loss": 0.6127,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.2300658376005853,
|
| 308 |
+
"grad_norm": 0.4145283245344341,
|
| 309 |
+
"learning_rate": 5e-06,
|
| 310 |
+
"loss": 0.6009,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.2593269934162399,
|
| 315 |
+
"grad_norm": 0.3559214339096793,
|
| 316 |
+
"learning_rate": 5e-06,
|
| 317 |
+
"loss": 0.611,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.2885881492318947,
|
| 322 |
+
"grad_norm": 0.3413599580993331,
|
| 323 |
+
"learning_rate": 5e-06,
|
| 324 |
+
"loss": 0.6037,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.3178493050475493,
|
| 329 |
+
"grad_norm": 0.3622841783657278,
|
| 330 |
+
"learning_rate": 5e-06,
|
| 331 |
+
"loss": 0.6074,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.347110460863204,
|
| 336 |
+
"grad_norm": 0.3746581322669035,
|
| 337 |
+
"learning_rate": 5e-06,
|
| 338 |
+
"loss": 0.6051,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.3763716166788589,
|
| 343 |
+
"grad_norm": 0.31849740102906093,
|
| 344 |
+
"learning_rate": 5e-06,
|
| 345 |
+
"loss": 0.6024,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.4056327724945135,
|
| 350 |
+
"grad_norm": 0.3734761795611288,
|
| 351 |
+
"learning_rate": 5e-06,
|
| 352 |
+
"loss": 0.6033,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.4348939283101683,
|
| 357 |
+
"grad_norm": 0.34675275832571,
|
| 358 |
+
"learning_rate": 5e-06,
|
| 359 |
+
"loss": 0.6097,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.464155084125823,
|
| 364 |
+
"grad_norm": 0.33843498837923025,
|
| 365 |
+
"learning_rate": 5e-06,
|
| 366 |
+
"loss": 0.598,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.4934162399414777,
|
| 371 |
+
"grad_norm": 0.350146725219343,
|
| 372 |
+
"learning_rate": 5e-06,
|
| 373 |
+
"loss": 0.606,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.5226773957571325,
|
| 378 |
+
"grad_norm": 0.39166843083583675,
|
| 379 |
+
"learning_rate": 5e-06,
|
| 380 |
+
"loss": 0.6084,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.5519385515727873,
|
| 385 |
+
"grad_norm": 0.350003587462171,
|
| 386 |
+
"learning_rate": 5e-06,
|
| 387 |
+
"loss": 0.607,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.5811997073884418,
|
| 392 |
+
"grad_norm": 0.3667439111520098,
|
| 393 |
+
"learning_rate": 5e-06,
|
| 394 |
+
"loss": 0.6135,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.6104608632040964,
|
| 399 |
+
"grad_norm": 0.3537244934912836,
|
| 400 |
+
"learning_rate": 5e-06,
|
| 401 |
+
"loss": 0.6046,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.6397220190197512,
|
| 406 |
+
"grad_norm": 0.3530231160276065,
|
| 407 |
+
"learning_rate": 5e-06,
|
| 408 |
+
"loss": 0.6063,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.668983174835406,
|
| 413 |
+
"grad_norm": 0.323025619993113,
|
| 414 |
+
"learning_rate": 5e-06,
|
| 415 |
+
"loss": 0.5969,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.6982443306510606,
|
| 420 |
+
"grad_norm": 0.349358548931987,
|
| 421 |
+
"learning_rate": 5e-06,
|
| 422 |
+
"loss": 0.6062,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.7275054864667154,
|
| 427 |
+
"grad_norm": 0.39980408460241657,
|
| 428 |
+
"learning_rate": 5e-06,
|
| 429 |
+
"loss": 0.6065,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.7567666422823702,
|
| 434 |
+
"grad_norm": 0.34113313353194774,
|
| 435 |
+
"learning_rate": 5e-06,
|
| 436 |
+
"loss": 0.6033,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.7860277980980248,
|
| 441 |
+
"grad_norm": 0.34531388262994633,
|
| 442 |
+
"learning_rate": 5e-06,
|
| 443 |
+
"loss": 0.6058,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.8152889539136796,
|
| 448 |
+
"grad_norm": 0.32514799592510446,
|
| 449 |
+
"learning_rate": 5e-06,
|
| 450 |
+
"loss": 0.6062,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.8445501097293344,
|
| 455 |
+
"grad_norm": 0.35614080019739464,
|
| 456 |
+
"learning_rate": 5e-06,
|
| 457 |
+
"loss": 0.6053,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.873811265544989,
|
| 462 |
+
"grad_norm": 0.3300616433320744,
|
| 463 |
+
"learning_rate": 5e-06,
|
| 464 |
+
"loss": 0.6002,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.9030724213606436,
|
| 469 |
+
"grad_norm": 0.3622402238263096,
|
| 470 |
+
"learning_rate": 5e-06,
|
| 471 |
+
"loss": 0.6058,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.9323335771762986,
|
| 476 |
+
"grad_norm": 0.3444768451054272,
|
| 477 |
+
"learning_rate": 5e-06,
|
| 478 |
+
"loss": 0.6064,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.9615947329919532,
|
| 483 |
+
"grad_norm": 0.32853379599999255,
|
| 484 |
+
"learning_rate": 5e-06,
|
| 485 |
+
"loss": 0.5952,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.9908558888076078,
|
| 490 |
+
"grad_norm": 0.3587293884689086,
|
| 491 |
+
"learning_rate": 5e-06,
|
| 492 |
+
"loss": 0.6097,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.9967081199707388,
|
| 497 |
+
"eval_loss": 0.6332100629806519,
|
| 498 |
+
"eval_runtime": 347.8152,
|
| 499 |
+
"eval_samples_per_second": 26.477,
|
| 500 |
+
"eval_steps_per_second": 0.414,
|
| 501 |
+
"step": 682
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.0212143379663496,
|
| 505 |
+
"grad_norm": 0.3914747236499232,
|
| 506 |
+
"learning_rate": 5e-06,
|
| 507 |
+
"loss": 0.6197,
|
| 508 |
+
"step": 690
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.050475493782004,
|
| 512 |
+
"grad_norm": 0.4451317704931522,
|
| 513 |
+
"learning_rate": 5e-06,
|
| 514 |
+
"loss": 0.5673,
|
| 515 |
+
"step": 700
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.0797366495976592,
|
| 519 |
+
"grad_norm": 0.35310727796985897,
|
| 520 |
+
"learning_rate": 5e-06,
|
| 521 |
+
"loss": 0.5694,
|
| 522 |
+
"step": 710
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.108997805413314,
|
| 526 |
+
"grad_norm": 0.3748176044370228,
|
| 527 |
+
"learning_rate": 5e-06,
|
| 528 |
+
"loss": 0.5704,
|
| 529 |
+
"step": 720
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.1382589612289684,
|
| 533 |
+
"grad_norm": 0.3494354561294143,
|
| 534 |
+
"learning_rate": 5e-06,
|
| 535 |
+
"loss": 0.5723,
|
| 536 |
+
"step": 730
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.1675201170446234,
|
| 540 |
+
"grad_norm": 0.35129264971107693,
|
| 541 |
+
"learning_rate": 5e-06,
|
| 542 |
+
"loss": 0.5775,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.196781272860278,
|
| 547 |
+
"grad_norm": 0.31508074197114816,
|
| 548 |
+
"learning_rate": 5e-06,
|
| 549 |
+
"loss": 0.5763,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.2260424286759326,
|
| 554 |
+
"grad_norm": 0.3670643138923896,
|
| 555 |
+
"learning_rate": 5e-06,
|
| 556 |
+
"loss": 0.5737,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.255303584491587,
|
| 561 |
+
"grad_norm": 0.3304298759476488,
|
| 562 |
+
"learning_rate": 5e-06,
|
| 563 |
+
"loss": 0.5725,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.284564740307242,
|
| 568 |
+
"grad_norm": 0.3388699840011243,
|
| 569 |
+
"learning_rate": 5e-06,
|
| 570 |
+
"loss": 0.5716,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.313825896122897,
|
| 575 |
+
"grad_norm": 0.3280155833683051,
|
| 576 |
+
"learning_rate": 5e-06,
|
| 577 |
+
"loss": 0.5699,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.3430870519385514,
|
| 582 |
+
"grad_norm": 0.35970533064711685,
|
| 583 |
+
"learning_rate": 5e-06,
|
| 584 |
+
"loss": 0.5777,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.3723482077542064,
|
| 589 |
+
"grad_norm": 0.33656864947696286,
|
| 590 |
+
"learning_rate": 5e-06,
|
| 591 |
+
"loss": 0.5728,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.401609363569861,
|
| 596 |
+
"grad_norm": 0.33260691432954365,
|
| 597 |
+
"learning_rate": 5e-06,
|
| 598 |
+
"loss": 0.5791,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.4308705193855156,
|
| 603 |
+
"grad_norm": 0.3167221056111725,
|
| 604 |
+
"learning_rate": 5e-06,
|
| 605 |
+
"loss": 0.5714,
|
| 606 |
+
"step": 830
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.4601316752011706,
|
| 610 |
+
"grad_norm": 0.3552708228986059,
|
| 611 |
+
"learning_rate": 5e-06,
|
| 612 |
+
"loss": 0.5719,
|
| 613 |
+
"step": 840
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.489392831016825,
|
| 617 |
+
"grad_norm": 0.3504786037960249,
|
| 618 |
+
"learning_rate": 5e-06,
|
| 619 |
+
"loss": 0.5741,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.5186539868324798,
|
| 624 |
+
"grad_norm": 0.35601444454617853,
|
| 625 |
+
"learning_rate": 5e-06,
|
| 626 |
+
"loss": 0.5671,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.547915142648135,
|
| 631 |
+
"grad_norm": 0.3992627060706797,
|
| 632 |
+
"learning_rate": 5e-06,
|
| 633 |
+
"loss": 0.5696,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.5771762984637894,
|
| 638 |
+
"grad_norm": 0.3511848795894042,
|
| 639 |
+
"learning_rate": 5e-06,
|
| 640 |
+
"loss": 0.5738,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.606437454279444,
|
| 645 |
+
"grad_norm": 0.3640553368412107,
|
| 646 |
+
"learning_rate": 5e-06,
|
| 647 |
+
"loss": 0.5731,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.6356986100950985,
|
| 652 |
+
"grad_norm": 0.3426464519086621,
|
| 653 |
+
"learning_rate": 5e-06,
|
| 654 |
+
"loss": 0.5777,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.6649597659107536,
|
| 659 |
+
"grad_norm": 0.3610877908075611,
|
| 660 |
+
"learning_rate": 5e-06,
|
| 661 |
+
"loss": 0.5778,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.694220921726408,
|
| 666 |
+
"grad_norm": 0.3556310393337805,
|
| 667 |
+
"learning_rate": 5e-06,
|
| 668 |
+
"loss": 0.5722,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.723482077542063,
|
| 673 |
+
"grad_norm": 0.3504629693430583,
|
| 674 |
+
"learning_rate": 5e-06,
|
| 675 |
+
"loss": 0.5758,
|
| 676 |
+
"step": 930
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 2.7527432333577178,
|
| 680 |
+
"grad_norm": 0.3486578461965166,
|
| 681 |
+
"learning_rate": 5e-06,
|
| 682 |
+
"loss": 0.5748,
|
| 683 |
+
"step": 940
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.7820043891733723,
|
| 687 |
+
"grad_norm": 0.3422817889043645,
|
| 688 |
+
"learning_rate": 5e-06,
|
| 689 |
+
"loss": 0.5735,
|
| 690 |
+
"step": 950
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 2.811265544989027,
|
| 694 |
+
"grad_norm": 0.37588989818519764,
|
| 695 |
+
"learning_rate": 5e-06,
|
| 696 |
+
"loss": 0.5774,
|
| 697 |
+
"step": 960
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 2.840526700804682,
|
| 701 |
+
"grad_norm": 0.34577188011968074,
|
| 702 |
+
"learning_rate": 5e-06,
|
| 703 |
+
"loss": 0.5731,
|
| 704 |
+
"step": 970
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.8697878566203365,
|
| 708 |
+
"grad_norm": 0.3788340529933626,
|
| 709 |
+
"learning_rate": 5e-06,
|
| 710 |
+
"loss": 0.5729,
|
| 711 |
+
"step": 980
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.899049012435991,
|
| 715 |
+
"grad_norm": 0.3263212597720765,
|
| 716 |
+
"learning_rate": 5e-06,
|
| 717 |
+
"loss": 0.5659,
|
| 718 |
+
"step": 990
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 2.928310168251646,
|
| 722 |
+
"grad_norm": 0.32654471141276226,
|
| 723 |
+
"learning_rate": 5e-06,
|
| 724 |
+
"loss": 0.5737,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 2.9575713240673007,
|
| 729 |
+
"grad_norm": 0.350030993954914,
|
| 730 |
+
"learning_rate": 5e-06,
|
| 731 |
+
"loss": 0.5654,
|
| 732 |
+
"step": 1010
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 2.9868324798829553,
|
| 736 |
+
"grad_norm": 0.33894932153015206,
|
| 737 |
+
"learning_rate": 5e-06,
|
| 738 |
+
"loss": 0.5771,
|
| 739 |
+
"step": 1020
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 2.9956108266276518,
|
| 743 |
+
"eval_loss": 0.6330604553222656,
|
| 744 |
+
"eval_runtime": 347.7245,
|
| 745 |
+
"eval_samples_per_second": 26.484,
|
| 746 |
+
"eval_steps_per_second": 0.414,
|
| 747 |
+
"step": 1023
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 2.9956108266276518,
|
| 751 |
+
"step": 1023,
|
| 752 |
+
"total_flos": 2144987064041472.0,
|
| 753 |
+
"train_loss": 0.6141412728925837,
|
| 754 |
+
"train_runtime": 55205.9507,
|
| 755 |
+
"train_samples_per_second": 9.507,
|
| 756 |
+
"train_steps_per_second": 0.019
|
| 757 |
+
}
|
| 758 |
+
],
|
| 759 |
+
"logging_steps": 10,
|
| 760 |
+
"max_steps": 1023,
|
| 761 |
+
"num_input_tokens_seen": 0,
|
| 762 |
+
"num_train_epochs": 3,
|
| 763 |
+
"save_steps": 500,
|
| 764 |
+
"stateful_callbacks": {
|
| 765 |
+
"TrainerControl": {
|
| 766 |
+
"args": {
|
| 767 |
+
"should_epoch_stop": false,
|
| 768 |
+
"should_evaluate": false,
|
| 769 |
+
"should_log": false,
|
| 770 |
+
"should_save": true,
|
| 771 |
+
"should_training_stop": true
|
| 772 |
+
},
|
| 773 |
+
"attributes": {}
|
| 774 |
+
}
|
| 775 |
+
},
|
| 776 |
+
"total_flos": 2144987064041472.0,
|
| 777 |
+
"train_batch_size": 8,
|
| 778 |
+
"trial_name": null,
|
| 779 |
+
"trial_params": null
|
| 780 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|