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 +766 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: gemma
|
|
| 4 |
base_model: google/gemma-2-9b
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: hp_ablations_gemma_bsz512_dcftv1.2
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# hp_ablations_gemma_bsz512_dcftv1.2
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.6347
|
| 21 |
|
|
|
|
| 4 |
base_model: google/gemma-2-9b
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: hp_ablations_gemma_bsz512_dcftv1.2
|
|
|
|
| 16 |
|
| 17 |
# hp_ablations_gemma_bsz512_dcftv1.2
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) 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: 0.6347
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.999438727782975,
|
| 3 |
+
"eval_loss": 0.6347318887710571,
|
| 4 |
+
"eval_runtime": 516.1922,
|
| 5 |
+
"eval_samples_per_second": 17.437,
|
| 6 |
+
"eval_steps_per_second": 0.546,
|
| 7 |
+
"total_flos": 3818092983484416.0,
|
| 8 |
+
"train_loss": 0.5628350560298699,
|
| 9 |
+
"train_runtime": 90903.3937,
|
| 10 |
+
"train_samples_per_second": 5.644,
|
| 11 |
+
"train_steps_per_second": 0.011
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.999438727782975,
|
| 3 |
+
"eval_loss": 0.6347318887710571,
|
| 4 |
+
"eval_runtime": 516.1922,
|
| 5 |
+
"eval_samples_per_second": 17.437,
|
| 6 |
+
"eval_steps_per_second": 0.546
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.999438727782975,
|
| 3 |
+
"total_flos": 3818092983484416.0,
|
| 4 |
+
"train_loss": 0.5628350560298699,
|
| 5 |
+
"train_runtime": 90903.3937,
|
| 6 |
+
"train_samples_per_second": 5.644,
|
| 7 |
+
"train_steps_per_second": 0.011
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,766 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.999438727782975,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1002,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.029934518241347054,
|
| 13 |
+
"grad_norm": 1.3387344639766428,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.7726,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.05986903648269411,
|
| 20 |
+
"grad_norm": 0.7768397662301797,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.6941,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.08980355472404115,
|
| 27 |
+
"grad_norm": 0.707220098018675,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.669,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.11973807296538821,
|
| 34 |
+
"grad_norm": 0.6673639225008394,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.6651,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.14967259120673526,
|
| 41 |
+
"grad_norm": 0.931884409826821,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.6563,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1796071094480823,
|
| 48 |
+
"grad_norm": 0.7248290568232586,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.6486,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.20954162768942938,
|
| 55 |
+
"grad_norm": 0.7317021024341339,
|
| 56 |
+
"learning_rate": 5e-06,
|
| 57 |
+
"loss": 0.6456,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.23947614593077643,
|
| 62 |
+
"grad_norm": 0.7878073380412045,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.647,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2694106641721235,
|
| 69 |
+
"grad_norm": 0.9477711469098681,
|
| 70 |
+
"learning_rate": 5e-06,
|
| 71 |
+
"loss": 0.638,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.2993451824134705,
|
| 76 |
+
"grad_norm": 0.7824185434647374,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.6395,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.3292797006548176,
|
| 83 |
+
"grad_norm": 0.7691665877451451,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.6352,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.3592142188961646,
|
| 90 |
+
"grad_norm": 0.85227640579011,
|
| 91 |
+
"learning_rate": 5e-06,
|
| 92 |
+
"loss": 0.6344,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.3891487371375117,
|
| 97 |
+
"grad_norm": 0.7349060200879011,
|
| 98 |
+
"learning_rate": 5e-06,
|
| 99 |
+
"loss": 0.6343,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.41908325537885877,
|
| 104 |
+
"grad_norm": 0.7948303412589806,
|
| 105 |
+
"learning_rate": 5e-06,
|
| 106 |
+
"loss": 0.628,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.4490177736202058,
|
| 111 |
+
"grad_norm": 0.6403554998368226,
|
| 112 |
+
"learning_rate": 5e-06,
|
| 113 |
+
"loss": 0.6296,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.47895229186155286,
|
| 118 |
+
"grad_norm": 0.6579875234047781,
|
| 119 |
+
"learning_rate": 5e-06,
|
| 120 |
+
"loss": 0.6286,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.5088868101028999,
|
| 125 |
+
"grad_norm": 0.6635988202382727,
|
| 126 |
+
"learning_rate": 5e-06,
|
| 127 |
+
"loss": 0.6228,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.538821328344247,
|
| 132 |
+
"grad_norm": 0.6766189913752628,
|
| 133 |
+
"learning_rate": 5e-06,
|
| 134 |
+
"loss": 0.6242,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.568755846585594,
|
| 139 |
+
"grad_norm": 0.7350593528596518,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.6221,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.598690364826941,
|
| 146 |
+
"grad_norm": 0.7042346638489535,
|
| 147 |
+
"learning_rate": 5e-06,
|
| 148 |
+
"loss": 0.6299,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6286248830682881,
|
| 153 |
+
"grad_norm": 0.7310808118757001,
|
| 154 |
+
"learning_rate": 5e-06,
|
| 155 |
+
"loss": 0.6238,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.6585594013096352,
|
| 160 |
+
"grad_norm": 0.915027325723907,
|
| 161 |
+
"learning_rate": 5e-06,
|
| 162 |
+
"loss": 0.622,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.6884939195509823,
|
| 167 |
+
"grad_norm": 0.7146070049162939,
|
| 168 |
+
"learning_rate": 5e-06,
|
| 169 |
+
"loss": 0.6245,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7184284377923292,
|
| 174 |
+
"grad_norm": 0.6682750595418552,
|
| 175 |
+
"learning_rate": 5e-06,
|
| 176 |
+
"loss": 0.6234,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.7483629560336763,
|
| 181 |
+
"grad_norm": 0.6075185838844738,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.6199,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.7782974742750234,
|
| 188 |
+
"grad_norm": 0.6614005815451841,
|
| 189 |
+
"learning_rate": 5e-06,
|
| 190 |
+
"loss": 0.6186,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.8082319925163705,
|
| 195 |
+
"grad_norm": 0.7431404889886319,
|
| 196 |
+
"learning_rate": 5e-06,
|
| 197 |
+
"loss": 0.6261,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.8381665107577175,
|
| 202 |
+
"grad_norm": 0.6659051677024307,
|
| 203 |
+
"learning_rate": 5e-06,
|
| 204 |
+
"loss": 0.6163,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.8681010289990645,
|
| 209 |
+
"grad_norm": 0.761848043492867,
|
| 210 |
+
"learning_rate": 5e-06,
|
| 211 |
+
"loss": 0.6131,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.8980355472404116,
|
| 216 |
+
"grad_norm": 0.7790121000018401,
|
| 217 |
+
"learning_rate": 5e-06,
|
| 218 |
+
"loss": 0.6145,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.9279700654817586,
|
| 223 |
+
"grad_norm": 0.700122187157476,
|
| 224 |
+
"learning_rate": 5e-06,
|
| 225 |
+
"loss": 0.6131,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.9579045837231057,
|
| 230 |
+
"grad_norm": 0.6439594670749554,
|
| 231 |
+
"learning_rate": 5e-06,
|
| 232 |
+
"loss": 0.6152,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.9878391019644528,
|
| 237 |
+
"grad_norm": 0.9505341757424101,
|
| 238 |
+
"learning_rate": 5e-06,
|
| 239 |
+
"loss": 0.6082,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.9998129092609915,
|
| 244 |
+
"eval_loss": 0.619162917137146,
|
| 245 |
+
"eval_runtime": 516.7234,
|
| 246 |
+
"eval_samples_per_second": 17.419,
|
| 247 |
+
"eval_steps_per_second": 0.546,
|
| 248 |
+
"step": 334
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.0177736202057999,
|
| 252 |
+
"grad_norm": 1.0078817159156914,
|
| 253 |
+
"learning_rate": 5e-06,
|
| 254 |
+
"loss": 0.6383,
|
| 255 |
+
"step": 340
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.047708138447147,
|
| 259 |
+
"grad_norm": 0.9933360913511419,
|
| 260 |
+
"learning_rate": 5e-06,
|
| 261 |
+
"loss": 0.5523,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.077642656688494,
|
| 266 |
+
"grad_norm": 0.7284101974086702,
|
| 267 |
+
"learning_rate": 5e-06,
|
| 268 |
+
"loss": 0.5478,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.1075771749298409,
|
| 273 |
+
"grad_norm": 0.8279225421843056,
|
| 274 |
+
"learning_rate": 5e-06,
|
| 275 |
+
"loss": 0.5481,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.137511693171188,
|
| 280 |
+
"grad_norm": 0.7632668730408979,
|
| 281 |
+
"learning_rate": 5e-06,
|
| 282 |
+
"loss": 0.5484,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.167446211412535,
|
| 287 |
+
"grad_norm": 0.6939352572415957,
|
| 288 |
+
"learning_rate": 5e-06,
|
| 289 |
+
"loss": 0.5501,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.197380729653882,
|
| 294 |
+
"grad_norm": 0.702668433385052,
|
| 295 |
+
"learning_rate": 5e-06,
|
| 296 |
+
"loss": 0.5501,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.2273152478952292,
|
| 301 |
+
"grad_norm": 0.6478605176631643,
|
| 302 |
+
"learning_rate": 5e-06,
|
| 303 |
+
"loss": 0.5524,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.2572497661365762,
|
| 308 |
+
"grad_norm": 0.7369685315266656,
|
| 309 |
+
"learning_rate": 5e-06,
|
| 310 |
+
"loss": 0.5567,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.2871842843779233,
|
| 315 |
+
"grad_norm": 0.6753735200396593,
|
| 316 |
+
"learning_rate": 5e-06,
|
| 317 |
+
"loss": 0.5514,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.3171188026192704,
|
| 322 |
+
"grad_norm": 0.6984955164701175,
|
| 323 |
+
"learning_rate": 5e-06,
|
| 324 |
+
"loss": 0.5534,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.3470533208606175,
|
| 329 |
+
"grad_norm": 0.6720392032007318,
|
| 330 |
+
"learning_rate": 5e-06,
|
| 331 |
+
"loss": 0.5475,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.3769878391019645,
|
| 336 |
+
"grad_norm": 0.6876544426761866,
|
| 337 |
+
"learning_rate": 5e-06,
|
| 338 |
+
"loss": 0.5581,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.4069223573433116,
|
| 343 |
+
"grad_norm": 0.7559712718072091,
|
| 344 |
+
"learning_rate": 5e-06,
|
| 345 |
+
"loss": 0.5573,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.4368568755846587,
|
| 350 |
+
"grad_norm": 0.7543483123276029,
|
| 351 |
+
"learning_rate": 5e-06,
|
| 352 |
+
"loss": 0.5592,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.4667913938260055,
|
| 357 |
+
"grad_norm": 0.670230242807614,
|
| 358 |
+
"learning_rate": 5e-06,
|
| 359 |
+
"loss": 0.5587,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.4967259120673526,
|
| 364 |
+
"grad_norm": 0.793302321148842,
|
| 365 |
+
"learning_rate": 5e-06,
|
| 366 |
+
"loss": 0.5549,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.5266604303086997,
|
| 371 |
+
"grad_norm": 0.6636753856100917,
|
| 372 |
+
"learning_rate": 5e-06,
|
| 373 |
+
"loss": 0.5577,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.5565949485500468,
|
| 378 |
+
"grad_norm": 0.6821579825224984,
|
| 379 |
+
"learning_rate": 5e-06,
|
| 380 |
+
"loss": 0.5557,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.5865294667913938,
|
| 385 |
+
"grad_norm": 0.7552762189905546,
|
| 386 |
+
"learning_rate": 5e-06,
|
| 387 |
+
"loss": 0.5563,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.616463985032741,
|
| 392 |
+
"grad_norm": 0.6729733301722461,
|
| 393 |
+
"learning_rate": 5e-06,
|
| 394 |
+
"loss": 0.5599,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.646398503274088,
|
| 399 |
+
"grad_norm": 0.631104770625896,
|
| 400 |
+
"learning_rate": 5e-06,
|
| 401 |
+
"loss": 0.5593,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.6763330215154348,
|
| 406 |
+
"grad_norm": 0.6474672113131026,
|
| 407 |
+
"learning_rate": 5e-06,
|
| 408 |
+
"loss": 0.5499,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.706267539756782,
|
| 413 |
+
"grad_norm": 0.8000532776371828,
|
| 414 |
+
"learning_rate": 5e-06,
|
| 415 |
+
"loss": 0.5517,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.736202057998129,
|
| 420 |
+
"grad_norm": 0.7694340841619645,
|
| 421 |
+
"learning_rate": 5e-06,
|
| 422 |
+
"loss": 0.5529,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.766136576239476,
|
| 427 |
+
"grad_norm": 0.6621277045994409,
|
| 428 |
+
"learning_rate": 5e-06,
|
| 429 |
+
"loss": 0.5558,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.7960710944808231,
|
| 434 |
+
"grad_norm": 0.715383547152723,
|
| 435 |
+
"learning_rate": 5e-06,
|
| 436 |
+
"loss": 0.5565,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.8260056127221702,
|
| 441 |
+
"grad_norm": 0.625130733885464,
|
| 442 |
+
"learning_rate": 5e-06,
|
| 443 |
+
"loss": 0.5542,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.8559401309635173,
|
| 448 |
+
"grad_norm": 0.6823486917509712,
|
| 449 |
+
"learning_rate": 5e-06,
|
| 450 |
+
"loss": 0.5524,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.8858746492048644,
|
| 455 |
+
"grad_norm": 0.6881561256441558,
|
| 456 |
+
"learning_rate": 5e-06,
|
| 457 |
+
"loss": 0.5542,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.9158091674462114,
|
| 462 |
+
"grad_norm": 0.7622942086873891,
|
| 463 |
+
"learning_rate": 5e-06,
|
| 464 |
+
"loss": 0.5557,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.9457436856875585,
|
| 469 |
+
"grad_norm": 0.665050257763723,
|
| 470 |
+
"learning_rate": 5e-06,
|
| 471 |
+
"loss": 0.5539,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.9756782039289056,
|
| 476 |
+
"grad_norm": 0.7758483897762515,
|
| 477 |
+
"learning_rate": 5e-06,
|
| 478 |
+
"loss": 0.5587,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.999625818521983,
|
| 483 |
+
"eval_loss": 0.6155834197998047,
|
| 484 |
+
"eval_runtime": 516.9866,
|
| 485 |
+
"eval_samples_per_second": 17.411,
|
| 486 |
+
"eval_steps_per_second": 0.545,
|
| 487 |
+
"step": 668
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 2.0056127221702527,
|
| 491 |
+
"grad_norm": 1.1722347519510599,
|
| 492 |
+
"learning_rate": 5e-06,
|
| 493 |
+
"loss": 0.6006,
|
| 494 |
+
"step": 670
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.0355472404115997,
|
| 498 |
+
"grad_norm": 0.8414624124662551,
|
| 499 |
+
"learning_rate": 5e-06,
|
| 500 |
+
"loss": 0.4846,
|
| 501 |
+
"step": 680
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.065481758652947,
|
| 505 |
+
"grad_norm": 0.6931245660591268,
|
| 506 |
+
"learning_rate": 5e-06,
|
| 507 |
+
"loss": 0.4808,
|
| 508 |
+
"step": 690
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.095416276894294,
|
| 512 |
+
"grad_norm": 0.7117529793838588,
|
| 513 |
+
"learning_rate": 5e-06,
|
| 514 |
+
"loss": 0.4855,
|
| 515 |
+
"step": 700
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.125350795135641,
|
| 519 |
+
"grad_norm": 0.7331820893440362,
|
| 520 |
+
"learning_rate": 5e-06,
|
| 521 |
+
"loss": 0.4858,
|
| 522 |
+
"step": 710
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.155285313376988,
|
| 526 |
+
"grad_norm": 0.8754972222725035,
|
| 527 |
+
"learning_rate": 5e-06,
|
| 528 |
+
"loss": 0.4893,
|
| 529 |
+
"step": 720
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.185219831618335,
|
| 533 |
+
"grad_norm": 0.7192523205414377,
|
| 534 |
+
"learning_rate": 5e-06,
|
| 535 |
+
"loss": 0.4894,
|
| 536 |
+
"step": 730
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.2151543498596817,
|
| 540 |
+
"grad_norm": 0.7815473273248343,
|
| 541 |
+
"learning_rate": 5e-06,
|
| 542 |
+
"loss": 0.49,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.245088868101029,
|
| 547 |
+
"grad_norm": 0.7224517891086425,
|
| 548 |
+
"learning_rate": 5e-06,
|
| 549 |
+
"loss": 0.4925,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.275023386342376,
|
| 554 |
+
"grad_norm": 0.6941146001457271,
|
| 555 |
+
"learning_rate": 5e-06,
|
| 556 |
+
"loss": 0.4882,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.304957904583723,
|
| 561 |
+
"grad_norm": 0.7516859140116606,
|
| 562 |
+
"learning_rate": 5e-06,
|
| 563 |
+
"loss": 0.4935,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.33489242282507,
|
| 568 |
+
"grad_norm": 0.6995328412478509,
|
| 569 |
+
"learning_rate": 5e-06,
|
| 570 |
+
"loss": 0.4892,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.364826941066417,
|
| 575 |
+
"grad_norm": 0.6450052032271214,
|
| 576 |
+
"learning_rate": 5e-06,
|
| 577 |
+
"loss": 0.4909,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.394761459307764,
|
| 582 |
+
"grad_norm": 0.7383031235734733,
|
| 583 |
+
"learning_rate": 5e-06,
|
| 584 |
+
"loss": 0.4936,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.4246959775491113,
|
| 589 |
+
"grad_norm": 0.9052311314704138,
|
| 590 |
+
"learning_rate": 5e-06,
|
| 591 |
+
"loss": 0.5006,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.4546304957904583,
|
| 596 |
+
"grad_norm": 0.744817569114051,
|
| 597 |
+
"learning_rate": 5e-06,
|
| 598 |
+
"loss": 0.4978,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.4845650140318054,
|
| 603 |
+
"grad_norm": 0.8333667937918693,
|
| 604 |
+
"learning_rate": 5e-06,
|
| 605 |
+
"loss": 0.4976,
|
| 606 |
+
"step": 830
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.5144995322731525,
|
| 610 |
+
"grad_norm": 0.7032740125894698,
|
| 611 |
+
"learning_rate": 5e-06,
|
| 612 |
+
"loss": 0.4947,
|
| 613 |
+
"step": 840
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.5444340505144996,
|
| 617 |
+
"grad_norm": 0.7332627913564072,
|
| 618 |
+
"learning_rate": 5e-06,
|
| 619 |
+
"loss": 0.4984,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.5743685687558466,
|
| 624 |
+
"grad_norm": 0.7267448308374836,
|
| 625 |
+
"learning_rate": 5e-06,
|
| 626 |
+
"loss": 0.4964,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.6043030869971937,
|
| 631 |
+
"grad_norm": 0.6783409226329004,
|
| 632 |
+
"learning_rate": 5e-06,
|
| 633 |
+
"loss": 0.4941,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.634237605238541,
|
| 638 |
+
"grad_norm": 0.7177369341898473,
|
| 639 |
+
"learning_rate": 5e-06,
|
| 640 |
+
"loss": 0.4922,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.664172123479888,
|
| 645 |
+
"grad_norm": 0.7220986253572231,
|
| 646 |
+
"learning_rate": 5e-06,
|
| 647 |
+
"loss": 0.4983,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.694106641721235,
|
| 652 |
+
"grad_norm": 0.6703622867889978,
|
| 653 |
+
"learning_rate": 5e-06,
|
| 654 |
+
"loss": 0.501,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.724041159962582,
|
| 659 |
+
"grad_norm": 0.6964496953277525,
|
| 660 |
+
"learning_rate": 5e-06,
|
| 661 |
+
"loss": 0.4944,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.753975678203929,
|
| 666 |
+
"grad_norm": 0.6590985545988255,
|
| 667 |
+
"learning_rate": 5e-06,
|
| 668 |
+
"loss": 0.4957,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.7839101964452757,
|
| 673 |
+
"grad_norm": 0.6904019401527591,
|
| 674 |
+
"learning_rate": 5e-06,
|
| 675 |
+
"loss": 0.5015,
|
| 676 |
+
"step": 930
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 2.8138447146866232,
|
| 680 |
+
"grad_norm": 0.6886972345963736,
|
| 681 |
+
"learning_rate": 5e-06,
|
| 682 |
+
"loss": 0.4996,
|
| 683 |
+
"step": 940
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.84377923292797,
|
| 687 |
+
"grad_norm": 0.699334830976579,
|
| 688 |
+
"learning_rate": 5e-06,
|
| 689 |
+
"loss": 0.4991,
|
| 690 |
+
"step": 950
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 2.8737137511693174,
|
| 694 |
+
"grad_norm": 0.8229628219796593,
|
| 695 |
+
"learning_rate": 5e-06,
|
| 696 |
+
"loss": 0.5011,
|
| 697 |
+
"step": 960
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 2.903648269410664,
|
| 701 |
+
"grad_norm": 0.773910899786262,
|
| 702 |
+
"learning_rate": 5e-06,
|
| 703 |
+
"loss": 0.4967,
|
| 704 |
+
"step": 970
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.933582787652011,
|
| 708 |
+
"grad_norm": 0.7347626406072614,
|
| 709 |
+
"learning_rate": 5e-06,
|
| 710 |
+
"loss": 0.5024,
|
| 711 |
+
"step": 980
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.963517305893358,
|
| 715 |
+
"grad_norm": 0.7149658597566454,
|
| 716 |
+
"learning_rate": 5e-06,
|
| 717 |
+
"loss": 0.504,
|
| 718 |
+
"step": 990
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 2.9934518241347052,
|
| 722 |
+
"grad_norm": 0.6938231808502269,
|
| 723 |
+
"learning_rate": 5e-06,
|
| 724 |
+
"loss": 0.505,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 2.999438727782975,
|
| 729 |
+
"eval_loss": 0.6347318887710571,
|
| 730 |
+
"eval_runtime": 516.7784,
|
| 731 |
+
"eval_samples_per_second": 17.418,
|
| 732 |
+
"eval_steps_per_second": 0.546,
|
| 733 |
+
"step": 1002
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 2.999438727782975,
|
| 737 |
+
"step": 1002,
|
| 738 |
+
"total_flos": 3818092983484416.0,
|
| 739 |
+
"train_loss": 0.5628350560298699,
|
| 740 |
+
"train_runtime": 90903.3937,
|
| 741 |
+
"train_samples_per_second": 5.644,
|
| 742 |
+
"train_steps_per_second": 0.011
|
| 743 |
+
}
|
| 744 |
+
],
|
| 745 |
+
"logging_steps": 10,
|
| 746 |
+
"max_steps": 1002,
|
| 747 |
+
"num_input_tokens_seen": 0,
|
| 748 |
+
"num_train_epochs": 3,
|
| 749 |
+
"save_steps": 500,
|
| 750 |
+
"stateful_callbacks": {
|
| 751 |
+
"TrainerControl": {
|
| 752 |
+
"args": {
|
| 753 |
+
"should_epoch_stop": false,
|
| 754 |
+
"should_evaluate": false,
|
| 755 |
+
"should_log": false,
|
| 756 |
+
"should_save": true,
|
| 757 |
+
"should_training_stop": true
|
| 758 |
+
},
|
| 759 |
+
"attributes": {}
|
| 760 |
+
}
|
| 761 |
+
},
|
| 762 |
+
"total_flos": 3818092983484416.0,
|
| 763 |
+
"train_batch_size": 4,
|
| 764 |
+
"trial_name": null,
|
| 765 |
+
"trial_params": null
|
| 766 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|