End of training
Browse files- README.md +6 -4
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +726 -0
README.md
CHANGED
|
@@ -1,8 +1,10 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
license: apache-2.0
|
| 4 |
-
base_model:
|
| 5 |
tags:
|
|
|
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
|
@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
# beit-base-patch16-224_alpha0.7_temp5.0
|
| 18 |
|
| 19 |
-
This model is a fine-tuned version of [
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
-
- Loss: 0.
|
| 22 |
-
- Accuracy: 0.
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
license: apache-2.0
|
| 4 |
+
base_model: c14kevincardenas/ClimBEiTv2
|
| 5 |
tags:
|
| 6 |
+
- knowledge_distillation
|
| 7 |
+
- vision
|
| 8 |
- generated_from_trainer
|
| 9 |
metrics:
|
| 10 |
- accuracy
|
|
|
|
| 18 |
|
| 19 |
# beit-base-patch16-224_alpha0.7_temp5.0
|
| 20 |
|
| 21 |
+
This model is a fine-tuned version of [c14kevincardenas/ClimBEiTv2](https://huggingface.co/c14kevincardenas/ClimBEiTv2) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset.
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.5587
|
| 24 |
+
- Accuracy: 0.8014
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"eval_accuracy": 0.8013833992094862,
|
| 4 |
+
"eval_loss": 0.5586743354797363,
|
| 5 |
+
"eval_runtime": 32.6262,
|
| 6 |
+
"eval_samples_per_second": 31.018,
|
| 7 |
+
"eval_steps_per_second": 0.49,
|
| 8 |
+
"total_flos": 0.0,
|
| 9 |
+
"train_loss": 0.2787140127023061,
|
| 10 |
+
"train_runtime": 10963.1372,
|
| 11 |
+
"train_samples_per_second": 10.453,
|
| 12 |
+
"train_steps_per_second": 0.164
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"eval_accuracy": 0.8013833992094862,
|
| 4 |
+
"eval_loss": 0.5586743354797363,
|
| 5 |
+
"eval_runtime": 32.6262,
|
| 6 |
+
"eval_samples_per_second": 31.018,
|
| 7 |
+
"eval_steps_per_second": 0.49
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"total_flos": 0.0,
|
| 4 |
+
"train_loss": 0.2787140127023061,
|
| 5 |
+
"train_runtime": 10963.1372,
|
| 6 |
+
"train_samples_per_second": 10.453,
|
| 7 |
+
"train_steps_per_second": 0.164
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,726 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.5586743354797363,
|
| 3 |
+
"best_model_checkpoint": "./kd_results/microsoft/beit-base-patch16-224_alpha0.7_temp5.0/checkpoint-1440",
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1800,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.2777777777777778,
|
| 13 |
+
"grad_norm": 4.854953765869141,
|
| 14 |
+
"learning_rate": 6.944444444444445e-06,
|
| 15 |
+
"loss": 1.1971,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.5555555555555556,
|
| 20 |
+
"grad_norm": 4.132758140563965,
|
| 21 |
+
"learning_rate": 1.388888888888889e-05,
|
| 22 |
+
"loss": 1.1345,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.8333333333333334,
|
| 27 |
+
"grad_norm": 7.529750347137451,
|
| 28 |
+
"learning_rate": 2.0833333333333336e-05,
|
| 29 |
+
"loss": 1.1179,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 1.0,
|
| 34 |
+
"eval_accuracy": 0.2875494071146245,
|
| 35 |
+
"eval_loss": 1.4253844022750854,
|
| 36 |
+
"eval_runtime": 31.7768,
|
| 37 |
+
"eval_samples_per_second": 31.847,
|
| 38 |
+
"eval_steps_per_second": 0.504,
|
| 39 |
+
"step": 90
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.1111111111111112,
|
| 43 |
+
"grad_norm": 5.156152248382568,
|
| 44 |
+
"learning_rate": 2.777777777777778e-05,
|
| 45 |
+
"loss": 1.0713,
|
| 46 |
+
"step": 100
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 1.3888888888888888,
|
| 50 |
+
"grad_norm": 3.974464178085327,
|
| 51 |
+
"learning_rate": 3.472222222222222e-05,
|
| 52 |
+
"loss": 1.0127,
|
| 53 |
+
"step": 125
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 1.6666666666666665,
|
| 57 |
+
"grad_norm": 6.480051517486572,
|
| 58 |
+
"learning_rate": 4.166666666666667e-05,
|
| 59 |
+
"loss": 0.9649,
|
| 60 |
+
"step": 150
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 1.9444444444444444,
|
| 64 |
+
"grad_norm": 5.899675369262695,
|
| 65 |
+
"learning_rate": 4.8611111111111115e-05,
|
| 66 |
+
"loss": 0.8879,
|
| 67 |
+
"step": 175
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 2.0,
|
| 71 |
+
"eval_accuracy": 0.5632411067193676,
|
| 72 |
+
"eval_loss": 1.0517464876174927,
|
| 73 |
+
"eval_runtime": 31.398,
|
| 74 |
+
"eval_samples_per_second": 32.231,
|
| 75 |
+
"eval_steps_per_second": 0.51,
|
| 76 |
+
"step": 180
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 2.2222222222222223,
|
| 80 |
+
"grad_norm": 8.341927528381348,
|
| 81 |
+
"learning_rate": 4.938271604938271e-05,
|
| 82 |
+
"loss": 0.6881,
|
| 83 |
+
"step": 200
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 2.5,
|
| 87 |
+
"grad_norm": 5.7711968421936035,
|
| 88 |
+
"learning_rate": 4.8611111111111115e-05,
|
| 89 |
+
"loss": 0.6336,
|
| 90 |
+
"step": 225
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 2.7777777777777777,
|
| 94 |
+
"grad_norm": 5.359498500823975,
|
| 95 |
+
"learning_rate": 4.783950617283951e-05,
|
| 96 |
+
"loss": 0.5644,
|
| 97 |
+
"step": 250
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 3.0,
|
| 101 |
+
"eval_accuracy": 0.7430830039525692,
|
| 102 |
+
"eval_loss": 0.7063300609588623,
|
| 103 |
+
"eval_runtime": 31.3401,
|
| 104 |
+
"eval_samples_per_second": 32.291,
|
| 105 |
+
"eval_steps_per_second": 0.511,
|
| 106 |
+
"step": 270
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 3.0555555555555554,
|
| 110 |
+
"grad_norm": 3.9833033084869385,
|
| 111 |
+
"learning_rate": 4.70679012345679e-05,
|
| 112 |
+
"loss": 0.4968,
|
| 113 |
+
"step": 275
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 3.3333333333333335,
|
| 117 |
+
"grad_norm": 4.732687473297119,
|
| 118 |
+
"learning_rate": 4.62962962962963e-05,
|
| 119 |
+
"loss": 0.4054,
|
| 120 |
+
"step": 300
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 3.611111111111111,
|
| 124 |
+
"grad_norm": 6.728626251220703,
|
| 125 |
+
"learning_rate": 4.5524691358024696e-05,
|
| 126 |
+
"loss": 0.3964,
|
| 127 |
+
"step": 325
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 3.888888888888889,
|
| 131 |
+
"grad_norm": 4.665893077850342,
|
| 132 |
+
"learning_rate": 4.4753086419753084e-05,
|
| 133 |
+
"loss": 0.3909,
|
| 134 |
+
"step": 350
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 4.0,
|
| 138 |
+
"eval_accuracy": 0.7727272727272727,
|
| 139 |
+
"eval_loss": 0.6420592069625854,
|
| 140 |
+
"eval_runtime": 30.3488,
|
| 141 |
+
"eval_samples_per_second": 33.346,
|
| 142 |
+
"eval_steps_per_second": 0.527,
|
| 143 |
+
"step": 360
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 4.166666666666667,
|
| 147 |
+
"grad_norm": 4.054627418518066,
|
| 148 |
+
"learning_rate": 4.3981481481481486e-05,
|
| 149 |
+
"loss": 0.3229,
|
| 150 |
+
"step": 375
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 4.444444444444445,
|
| 154 |
+
"grad_norm": 4.525479316711426,
|
| 155 |
+
"learning_rate": 4.3209876543209875e-05,
|
| 156 |
+
"loss": 0.2746,
|
| 157 |
+
"step": 400
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 4.722222222222222,
|
| 161 |
+
"grad_norm": 3.628028392791748,
|
| 162 |
+
"learning_rate": 4.243827160493827e-05,
|
| 163 |
+
"loss": 0.2708,
|
| 164 |
+
"step": 425
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 5.0,
|
| 168 |
+
"grad_norm": 4.1524553298950195,
|
| 169 |
+
"learning_rate": 4.166666666666667e-05,
|
| 170 |
+
"loss": 0.2787,
|
| 171 |
+
"step": 450
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 5.0,
|
| 175 |
+
"eval_accuracy": 0.7875494071146245,
|
| 176 |
+
"eval_loss": 0.6018449664115906,
|
| 177 |
+
"eval_runtime": 30.9616,
|
| 178 |
+
"eval_samples_per_second": 32.686,
|
| 179 |
+
"eval_steps_per_second": 0.517,
|
| 180 |
+
"step": 450
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 5.277777777777778,
|
| 184 |
+
"grad_norm": 3.271401882171631,
|
| 185 |
+
"learning_rate": 4.089506172839506e-05,
|
| 186 |
+
"loss": 0.2339,
|
| 187 |
+
"step": 475
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 5.555555555555555,
|
| 191 |
+
"grad_norm": 3.5659079551696777,
|
| 192 |
+
"learning_rate": 4.012345679012346e-05,
|
| 193 |
+
"loss": 0.2227,
|
| 194 |
+
"step": 500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 5.833333333333333,
|
| 198 |
+
"grad_norm": 3.4077155590057373,
|
| 199 |
+
"learning_rate": 3.935185185185186e-05,
|
| 200 |
+
"loss": 0.2167,
|
| 201 |
+
"step": 525
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 6.0,
|
| 205 |
+
"eval_accuracy": 0.7687747035573123,
|
| 206 |
+
"eval_loss": 0.657771646976471,
|
| 207 |
+
"eval_runtime": 31.3505,
|
| 208 |
+
"eval_samples_per_second": 32.28,
|
| 209 |
+
"eval_steps_per_second": 0.51,
|
| 210 |
+
"step": 540
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 6.111111111111111,
|
| 214 |
+
"grad_norm": 2.961601734161377,
|
| 215 |
+
"learning_rate": 3.8580246913580246e-05,
|
| 216 |
+
"loss": 0.2173,
|
| 217 |
+
"step": 550
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 6.388888888888889,
|
| 221 |
+
"grad_norm": 3.4833714962005615,
|
| 222 |
+
"learning_rate": 3.780864197530865e-05,
|
| 223 |
+
"loss": 0.2049,
|
| 224 |
+
"step": 575
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 6.666666666666667,
|
| 228 |
+
"grad_norm": 3.0653741359710693,
|
| 229 |
+
"learning_rate": 3.7037037037037037e-05,
|
| 230 |
+
"loss": 0.2048,
|
| 231 |
+
"step": 600
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 6.944444444444445,
|
| 235 |
+
"grad_norm": 2.5728049278259277,
|
| 236 |
+
"learning_rate": 3.626543209876543e-05,
|
| 237 |
+
"loss": 0.1982,
|
| 238 |
+
"step": 625
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 7.0,
|
| 242 |
+
"eval_accuracy": 0.782608695652174,
|
| 243 |
+
"eval_loss": 0.6106678247451782,
|
| 244 |
+
"eval_runtime": 32.139,
|
| 245 |
+
"eval_samples_per_second": 31.488,
|
| 246 |
+
"eval_steps_per_second": 0.498,
|
| 247 |
+
"step": 630
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 7.222222222222222,
|
| 251 |
+
"grad_norm": 3.3970484733581543,
|
| 252 |
+
"learning_rate": 3.5493827160493834e-05,
|
| 253 |
+
"loss": 0.1764,
|
| 254 |
+
"step": 650
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 7.5,
|
| 258 |
+
"grad_norm": 2.866818904876709,
|
| 259 |
+
"learning_rate": 3.472222222222222e-05,
|
| 260 |
+
"loss": 0.1784,
|
| 261 |
+
"step": 675
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 7.777777777777778,
|
| 265 |
+
"grad_norm": 2.679239273071289,
|
| 266 |
+
"learning_rate": 3.395061728395062e-05,
|
| 267 |
+
"loss": 0.1799,
|
| 268 |
+
"step": 700
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 8.0,
|
| 272 |
+
"eval_accuracy": 0.8132411067193676,
|
| 273 |
+
"eval_loss": 0.5741682648658752,
|
| 274 |
+
"eval_runtime": 31.3562,
|
| 275 |
+
"eval_samples_per_second": 32.274,
|
| 276 |
+
"eval_steps_per_second": 0.51,
|
| 277 |
+
"step": 720
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 8.055555555555555,
|
| 281 |
+
"grad_norm": 2.2661197185516357,
|
| 282 |
+
"learning_rate": 3.317901234567901e-05,
|
| 283 |
+
"loss": 0.1873,
|
| 284 |
+
"step": 725
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 8.333333333333334,
|
| 288 |
+
"grad_norm": 1.946643590927124,
|
| 289 |
+
"learning_rate": 3.240740740740741e-05,
|
| 290 |
+
"loss": 0.1704,
|
| 291 |
+
"step": 750
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 8.61111111111111,
|
| 295 |
+
"grad_norm": 1.6869217157363892,
|
| 296 |
+
"learning_rate": 3.16358024691358e-05,
|
| 297 |
+
"loss": 0.1652,
|
| 298 |
+
"step": 775
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 8.88888888888889,
|
| 302 |
+
"grad_norm": 3.4906277656555176,
|
| 303 |
+
"learning_rate": 3.08641975308642e-05,
|
| 304 |
+
"loss": 0.1689,
|
| 305 |
+
"step": 800
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 9.0,
|
| 309 |
+
"eval_accuracy": 0.7944664031620553,
|
| 310 |
+
"eval_loss": 0.6021401882171631,
|
| 311 |
+
"eval_runtime": 31.727,
|
| 312 |
+
"eval_samples_per_second": 31.897,
|
| 313 |
+
"eval_steps_per_second": 0.504,
|
| 314 |
+
"step": 810
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 9.166666666666666,
|
| 318 |
+
"grad_norm": 2.9145889282226562,
|
| 319 |
+
"learning_rate": 3.0092592592592593e-05,
|
| 320 |
+
"loss": 0.1589,
|
| 321 |
+
"step": 825
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 9.444444444444445,
|
| 325 |
+
"grad_norm": 1.5670665502548218,
|
| 326 |
+
"learning_rate": 2.9320987654320992e-05,
|
| 327 |
+
"loss": 0.1537,
|
| 328 |
+
"step": 850
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 9.722222222222221,
|
| 332 |
+
"grad_norm": 1.8959583044052124,
|
| 333 |
+
"learning_rate": 2.8549382716049384e-05,
|
| 334 |
+
"loss": 0.1528,
|
| 335 |
+
"step": 875
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 10.0,
|
| 339 |
+
"grad_norm": 1.9776724576950073,
|
| 340 |
+
"learning_rate": 2.777777777777778e-05,
|
| 341 |
+
"loss": 0.1555,
|
| 342 |
+
"step": 900
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 10.0,
|
| 346 |
+
"eval_accuracy": 0.7895256916996047,
|
| 347 |
+
"eval_loss": 0.587110698223114,
|
| 348 |
+
"eval_runtime": 30.4121,
|
| 349 |
+
"eval_samples_per_second": 33.276,
|
| 350 |
+
"eval_steps_per_second": 0.526,
|
| 351 |
+
"step": 900
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 10.277777777777779,
|
| 355 |
+
"grad_norm": 2.025183916091919,
|
| 356 |
+
"learning_rate": 2.700617283950617e-05,
|
| 357 |
+
"loss": 0.1562,
|
| 358 |
+
"step": 925
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 10.555555555555555,
|
| 362 |
+
"grad_norm": 1.173431634902954,
|
| 363 |
+
"learning_rate": 2.623456790123457e-05,
|
| 364 |
+
"loss": 0.1538,
|
| 365 |
+
"step": 950
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 10.833333333333334,
|
| 369 |
+
"grad_norm": 3.4991841316223145,
|
| 370 |
+
"learning_rate": 2.5462962962962965e-05,
|
| 371 |
+
"loss": 0.1514,
|
| 372 |
+
"step": 975
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 11.0,
|
| 376 |
+
"eval_accuracy": 0.791501976284585,
|
| 377 |
+
"eval_loss": 0.5836030840873718,
|
| 378 |
+
"eval_runtime": 32.0032,
|
| 379 |
+
"eval_samples_per_second": 31.622,
|
| 380 |
+
"eval_steps_per_second": 0.5,
|
| 381 |
+
"step": 990
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 11.11111111111111,
|
| 385 |
+
"grad_norm": 1.008795142173767,
|
| 386 |
+
"learning_rate": 2.4691358024691357e-05,
|
| 387 |
+
"loss": 0.1416,
|
| 388 |
+
"step": 1000
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 11.38888888888889,
|
| 392 |
+
"grad_norm": 3.103557586669922,
|
| 393 |
+
"learning_rate": 2.3919753086419755e-05,
|
| 394 |
+
"loss": 0.1361,
|
| 395 |
+
"step": 1025
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 11.666666666666666,
|
| 399 |
+
"grad_norm": 1.1227365732192993,
|
| 400 |
+
"learning_rate": 2.314814814814815e-05,
|
| 401 |
+
"loss": 0.1444,
|
| 402 |
+
"step": 1050
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 11.944444444444445,
|
| 406 |
+
"grad_norm": 1.0779048204421997,
|
| 407 |
+
"learning_rate": 2.2376543209876542e-05,
|
| 408 |
+
"loss": 0.1418,
|
| 409 |
+
"step": 1075
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 12.0,
|
| 413 |
+
"eval_accuracy": 0.7964426877470355,
|
| 414 |
+
"eval_loss": 0.5684204697608948,
|
| 415 |
+
"eval_runtime": 31.8178,
|
| 416 |
+
"eval_samples_per_second": 31.806,
|
| 417 |
+
"eval_steps_per_second": 0.503,
|
| 418 |
+
"step": 1080
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 12.222222222222221,
|
| 422 |
+
"grad_norm": 1.3879923820495605,
|
| 423 |
+
"learning_rate": 2.1604938271604937e-05,
|
| 424 |
+
"loss": 0.1366,
|
| 425 |
+
"step": 1100
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 12.5,
|
| 429 |
+
"grad_norm": 2.631446123123169,
|
| 430 |
+
"learning_rate": 2.0833333333333336e-05,
|
| 431 |
+
"loss": 0.145,
|
| 432 |
+
"step": 1125
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 12.777777777777779,
|
| 436 |
+
"grad_norm": 1.33954656124115,
|
| 437 |
+
"learning_rate": 2.006172839506173e-05,
|
| 438 |
+
"loss": 0.1356,
|
| 439 |
+
"step": 1150
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 13.0,
|
| 443 |
+
"eval_accuracy": 0.7974308300395256,
|
| 444 |
+
"eval_loss": 0.568759024143219,
|
| 445 |
+
"eval_runtime": 31.3892,
|
| 446 |
+
"eval_samples_per_second": 32.24,
|
| 447 |
+
"eval_steps_per_second": 0.51,
|
| 448 |
+
"step": 1170
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 13.055555555555555,
|
| 452 |
+
"grad_norm": 1.1815236806869507,
|
| 453 |
+
"learning_rate": 1.9290123456790123e-05,
|
| 454 |
+
"loss": 0.1306,
|
| 455 |
+
"step": 1175
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 13.333333333333334,
|
| 459 |
+
"grad_norm": 1.3230443000793457,
|
| 460 |
+
"learning_rate": 1.8518518518518518e-05,
|
| 461 |
+
"loss": 0.1382,
|
| 462 |
+
"step": 1200
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 13.61111111111111,
|
| 466 |
+
"grad_norm": 1.0125420093536377,
|
| 467 |
+
"learning_rate": 1.7746913580246917e-05,
|
| 468 |
+
"loss": 0.1309,
|
| 469 |
+
"step": 1225
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 13.88888888888889,
|
| 473 |
+
"grad_norm": 0.9248207807540894,
|
| 474 |
+
"learning_rate": 1.697530864197531e-05,
|
| 475 |
+
"loss": 0.1262,
|
| 476 |
+
"step": 1250
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 14.0,
|
| 480 |
+
"eval_accuracy": 0.8053359683794467,
|
| 481 |
+
"eval_loss": 0.5782861709594727,
|
| 482 |
+
"eval_runtime": 31.6992,
|
| 483 |
+
"eval_samples_per_second": 31.925,
|
| 484 |
+
"eval_steps_per_second": 0.505,
|
| 485 |
+
"step": 1260
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 14.166666666666666,
|
| 489 |
+
"grad_norm": 1.0868349075317383,
|
| 490 |
+
"learning_rate": 1.6203703703703704e-05,
|
| 491 |
+
"loss": 0.1308,
|
| 492 |
+
"step": 1275
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 14.444444444444445,
|
| 496 |
+
"grad_norm": 0.8695051670074463,
|
| 497 |
+
"learning_rate": 1.54320987654321e-05,
|
| 498 |
+
"loss": 0.129,
|
| 499 |
+
"step": 1300
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 14.722222222222221,
|
| 503 |
+
"grad_norm": 1.301735520362854,
|
| 504 |
+
"learning_rate": 1.4660493827160496e-05,
|
| 505 |
+
"loss": 0.1255,
|
| 506 |
+
"step": 1325
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 15.0,
|
| 510 |
+
"grad_norm": 2.268371105194092,
|
| 511 |
+
"learning_rate": 1.388888888888889e-05,
|
| 512 |
+
"loss": 0.128,
|
| 513 |
+
"step": 1350
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 15.0,
|
| 517 |
+
"eval_accuracy": 0.7924901185770751,
|
| 518 |
+
"eval_loss": 0.5665250420570374,
|
| 519 |
+
"eval_runtime": 31.6739,
|
| 520 |
+
"eval_samples_per_second": 31.951,
|
| 521 |
+
"eval_steps_per_second": 0.505,
|
| 522 |
+
"step": 1350
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 15.277777777777779,
|
| 526 |
+
"grad_norm": 0.8186533451080322,
|
| 527 |
+
"learning_rate": 1.3117283950617285e-05,
|
| 528 |
+
"loss": 0.1268,
|
| 529 |
+
"step": 1375
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 15.555555555555555,
|
| 533 |
+
"grad_norm": 1.092484474182129,
|
| 534 |
+
"learning_rate": 1.2345679012345678e-05,
|
| 535 |
+
"loss": 0.1225,
|
| 536 |
+
"step": 1400
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 15.833333333333334,
|
| 540 |
+
"grad_norm": 0.8935237526893616,
|
| 541 |
+
"learning_rate": 1.1574074074074075e-05,
|
| 542 |
+
"loss": 0.1211,
|
| 543 |
+
"step": 1425
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 16.0,
|
| 547 |
+
"eval_accuracy": 0.8013833992094862,
|
| 548 |
+
"eval_loss": 0.5586743354797363,
|
| 549 |
+
"eval_runtime": 31.5109,
|
| 550 |
+
"eval_samples_per_second": 32.116,
|
| 551 |
+
"eval_steps_per_second": 0.508,
|
| 552 |
+
"step": 1440
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 16.11111111111111,
|
| 556 |
+
"grad_norm": 0.5855790376663208,
|
| 557 |
+
"learning_rate": 1.0802469135802469e-05,
|
| 558 |
+
"loss": 0.1195,
|
| 559 |
+
"step": 1450
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 16.38888888888889,
|
| 563 |
+
"grad_norm": 0.7036534547805786,
|
| 564 |
+
"learning_rate": 1.0030864197530866e-05,
|
| 565 |
+
"loss": 0.1181,
|
| 566 |
+
"step": 1475
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 16.666666666666668,
|
| 570 |
+
"grad_norm": 0.7655908465385437,
|
| 571 |
+
"learning_rate": 9.259259259259259e-06,
|
| 572 |
+
"loss": 0.1217,
|
| 573 |
+
"step": 1500
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 16.944444444444443,
|
| 577 |
+
"grad_norm": 1.5623362064361572,
|
| 578 |
+
"learning_rate": 8.487654320987654e-06,
|
| 579 |
+
"loss": 0.1223,
|
| 580 |
+
"step": 1525
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 17.0,
|
| 584 |
+
"eval_accuracy": 0.8033596837944664,
|
| 585 |
+
"eval_loss": 0.5643883347511292,
|
| 586 |
+
"eval_runtime": 31.1811,
|
| 587 |
+
"eval_samples_per_second": 32.456,
|
| 588 |
+
"eval_steps_per_second": 0.513,
|
| 589 |
+
"step": 1530
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 17.22222222222222,
|
| 593 |
+
"grad_norm": 0.7560245394706726,
|
| 594 |
+
"learning_rate": 7.71604938271605e-06,
|
| 595 |
+
"loss": 0.1207,
|
| 596 |
+
"step": 1550
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 17.5,
|
| 600 |
+
"grad_norm": 0.9252073764801025,
|
| 601 |
+
"learning_rate": 6.944444444444445e-06,
|
| 602 |
+
"loss": 0.1168,
|
| 603 |
+
"step": 1575
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 17.77777777777778,
|
| 607 |
+
"grad_norm": 0.8090717196464539,
|
| 608 |
+
"learning_rate": 6.172839506172839e-06,
|
| 609 |
+
"loss": 0.1133,
|
| 610 |
+
"step": 1600
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 18.0,
|
| 614 |
+
"eval_accuracy": 0.808300395256917,
|
| 615 |
+
"eval_loss": 0.5634317398071289,
|
| 616 |
+
"eval_runtime": 31.5051,
|
| 617 |
+
"eval_samples_per_second": 32.122,
|
| 618 |
+
"eval_steps_per_second": 0.508,
|
| 619 |
+
"step": 1620
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 18.055555555555557,
|
| 623 |
+
"grad_norm": 0.8598595261573792,
|
| 624 |
+
"learning_rate": 5.401234567901234e-06,
|
| 625 |
+
"loss": 0.122,
|
| 626 |
+
"step": 1625
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 18.333333333333332,
|
| 630 |
+
"grad_norm": 0.6354872584342957,
|
| 631 |
+
"learning_rate": 4.6296296296296296e-06,
|
| 632 |
+
"loss": 0.1203,
|
| 633 |
+
"step": 1650
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 18.61111111111111,
|
| 637 |
+
"grad_norm": 0.6701659560203552,
|
| 638 |
+
"learning_rate": 3.858024691358025e-06,
|
| 639 |
+
"loss": 0.1113,
|
| 640 |
+
"step": 1675
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 18.88888888888889,
|
| 644 |
+
"grad_norm": 0.6543203592300415,
|
| 645 |
+
"learning_rate": 3.0864197530864196e-06,
|
| 646 |
+
"loss": 0.1158,
|
| 647 |
+
"step": 1700
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 19.0,
|
| 651 |
+
"eval_accuracy": 0.8063241106719368,
|
| 652 |
+
"eval_loss": 0.5711103677749634,
|
| 653 |
+
"eval_runtime": 31.1447,
|
| 654 |
+
"eval_samples_per_second": 32.493,
|
| 655 |
+
"eval_steps_per_second": 0.514,
|
| 656 |
+
"step": 1710
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 19.166666666666668,
|
| 660 |
+
"grad_norm": 0.8226360082626343,
|
| 661 |
+
"learning_rate": 2.3148148148148148e-06,
|
| 662 |
+
"loss": 0.113,
|
| 663 |
+
"step": 1725
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 19.444444444444443,
|
| 667 |
+
"grad_norm": 0.611422061920166,
|
| 668 |
+
"learning_rate": 1.5432098765432098e-06,
|
| 669 |
+
"loss": 0.1178,
|
| 670 |
+
"step": 1750
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"epoch": 19.72222222222222,
|
| 674 |
+
"grad_norm": 0.5451157689094543,
|
| 675 |
+
"learning_rate": 7.716049382716049e-07,
|
| 676 |
+
"loss": 0.1157,
|
| 677 |
+
"step": 1775
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 20.0,
|
| 681 |
+
"grad_norm": 0.8388997912406921,
|
| 682 |
+
"learning_rate": 0.0,
|
| 683 |
+
"loss": 0.1119,
|
| 684 |
+
"step": 1800
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 20.0,
|
| 688 |
+
"eval_accuracy": 0.808300395256917,
|
| 689 |
+
"eval_loss": 0.5648430585861206,
|
| 690 |
+
"eval_runtime": 32.2673,
|
| 691 |
+
"eval_samples_per_second": 31.363,
|
| 692 |
+
"eval_steps_per_second": 0.496,
|
| 693 |
+
"step": 1800
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 20.0,
|
| 697 |
+
"step": 1800,
|
| 698 |
+
"total_flos": 0.0,
|
| 699 |
+
"train_loss": 0.2787140127023061,
|
| 700 |
+
"train_runtime": 10963.1372,
|
| 701 |
+
"train_samples_per_second": 10.453,
|
| 702 |
+
"train_steps_per_second": 0.164
|
| 703 |
+
}
|
| 704 |
+
],
|
| 705 |
+
"logging_steps": 25,
|
| 706 |
+
"max_steps": 1800,
|
| 707 |
+
"num_input_tokens_seen": 0,
|
| 708 |
+
"num_train_epochs": 20,
|
| 709 |
+
"save_steps": 500,
|
| 710 |
+
"stateful_callbacks": {
|
| 711 |
+
"TrainerControl": {
|
| 712 |
+
"args": {
|
| 713 |
+
"should_epoch_stop": false,
|
| 714 |
+
"should_evaluate": false,
|
| 715 |
+
"should_log": false,
|
| 716 |
+
"should_save": true,
|
| 717 |
+
"should_training_stop": true
|
| 718 |
+
},
|
| 719 |
+
"attributes": {}
|
| 720 |
+
}
|
| 721 |
+
},
|
| 722 |
+
"total_flos": 0.0,
|
| 723 |
+
"train_batch_size": 64,
|
| 724 |
+
"trial_name": null,
|
| 725 |
+
"trial_params": null
|
| 726 |
+
}
|