🍻 cheers
Browse files- README.md +12 -11
- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Aug14_21-07-55_d6feb5af6e29/events.out.tfevents.1755206129.d6feb5af6e29.604.7 +3 -0
- train_results.json +8 -0
- trainer_state.json +544 -0
README.md
CHANGED
|
@@ -3,6 +3,7 @@ library_name: transformers
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: google/vit-base-patch16-224-in21k
|
| 5 |
tags:
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
- imagefolder
|
|
@@ -18,7 +19,7 @@ model-index:
|
|
| 18 |
name: Image Classification
|
| 19 |
type: image-classification
|
| 20 |
dataset:
|
| 21 |
-
name:
|
| 22 |
type: imagefolder
|
| 23 |
config: default
|
| 24 |
split: validation
|
|
@@ -26,16 +27,16 @@ model-index:
|
|
| 26 |
metrics:
|
| 27 |
- name: Accuracy
|
| 28 |
type: accuracy
|
| 29 |
-
value: 0.
|
| 30 |
- name: F1
|
| 31 |
type: f1
|
| 32 |
-
value: 0.
|
| 33 |
- name: Precision
|
| 34 |
type: precision
|
| 35 |
-
value: 0.
|
| 36 |
- name: Recall
|
| 37 |
type: recall
|
| 38 |
-
value: 0.
|
| 39 |
---
|
| 40 |
|
| 41 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -43,13 +44,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 43 |
|
| 44 |
# vit-tom-jerry-model
|
| 45 |
|
| 46 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the
|
| 47 |
It achieves the following results on the evaluation set:
|
| 48 |
-
- Loss: 0.
|
| 49 |
-
- Accuracy: 0.
|
| 50 |
-
- F1: 0.
|
| 51 |
-
- Precision: 0.
|
| 52 |
-
- Recall: 0.
|
| 53 |
|
| 54 |
## Model description
|
| 55 |
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: google/vit-base-patch16-224-in21k
|
| 5 |
tags:
|
| 6 |
+
- image-classification
|
| 7 |
- generated_from_trainer
|
| 8 |
datasets:
|
| 9 |
- imagefolder
|
|
|
|
| 19 |
name: Image Classification
|
| 20 |
type: image-classification
|
| 21 |
dataset:
|
| 22 |
+
name: tom_and_jerry
|
| 23 |
type: imagefolder
|
| 24 |
config: default
|
| 25 |
split: validation
|
|
|
|
| 27 |
metrics:
|
| 28 |
- name: Accuracy
|
| 29 |
type: accuracy
|
| 30 |
+
value: 0.991578947368421
|
| 31 |
- name: F1
|
| 32 |
type: f1
|
| 33 |
+
value: 0.9911287912744658
|
| 34 |
- name: Precision
|
| 35 |
type: precision
|
| 36 |
+
value: 0.9911287912744658
|
| 37 |
- name: Recall
|
| 38 |
type: recall
|
| 39 |
+
value: 0.9911287912744658
|
| 40 |
---
|
| 41 |
|
| 42 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 44 |
|
| 45 |
# vit-tom-jerry-model
|
| 46 |
|
| 47 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the tom_and_jerry dataset.
|
| 48 |
It achieves the following results on the evaluation set:
|
| 49 |
+
- Loss: 0.0403
|
| 50 |
+
- Accuracy: 0.9916
|
| 51 |
+
- F1: 0.9911
|
| 52 |
+
- Precision: 0.9911
|
| 53 |
+
- Recall: 0.9911
|
| 54 |
|
| 55 |
## Model description
|
| 56 |
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.158273381294964,
|
| 3 |
+
"eval_accuracy": 0.991578947368421,
|
| 4 |
+
"eval_f1": 0.9911287912744658,
|
| 5 |
+
"eval_loss": 0.0403330959379673,
|
| 6 |
+
"eval_precision": 0.9911287912744658,
|
| 7 |
+
"eval_recall": 0.9911287912744658,
|
| 8 |
+
"eval_runtime": 6.3358,
|
| 9 |
+
"eval_samples_per_second": 74.97,
|
| 10 |
+
"eval_steps_per_second": 9.47,
|
| 11 |
+
"total_flos": 3.711866302538957e+17,
|
| 12 |
+
"train_loss": 0.03943447194062173,
|
| 13 |
+
"train_runtime": 362.7821,
|
| 14 |
+
"train_samples_per_second": 30.583,
|
| 15 |
+
"train_steps_per_second": 3.832
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.158273381294964,
|
| 3 |
+
"eval_accuracy": 0.991578947368421,
|
| 4 |
+
"eval_f1": 0.9911287912744658,
|
| 5 |
+
"eval_loss": 0.0403330959379673,
|
| 6 |
+
"eval_precision": 0.9911287912744658,
|
| 7 |
+
"eval_recall": 0.9911287912744658,
|
| 8 |
+
"eval_runtime": 6.3358,
|
| 9 |
+
"eval_samples_per_second": 74.97,
|
| 10 |
+
"eval_steps_per_second": 9.47
|
| 11 |
+
}
|
runs/Aug14_21-07-55_d6feb5af6e29/events.out.tfevents.1755206129.d6feb5af6e29.604.7
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cde1bb4fc51e0558d14865eca52c8a362ae4087d398bdd4c7bef90b4abbabb0a
|
| 3 |
+
size 560
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.158273381294964,
|
| 3 |
+
"total_flos": 3.711866302538957e+17,
|
| 4 |
+
"train_loss": 0.03943447194062173,
|
| 5 |
+
"train_runtime": 362.7821,
|
| 6 |
+
"train_samples_per_second": 30.583,
|
| 7 |
+
"train_steps_per_second": 3.832
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,544 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 300,
|
| 3 |
+
"best_metric": 0.991578947368421,
|
| 4 |
+
"best_model_checkpoint": "./vit-tom-jerry-model/checkpoint-300",
|
| 5 |
+
"epoch": 2.158273381294964,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 600,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.03597122302158273,
|
| 14 |
+
"grad_norm": 0.00730751920491457,
|
| 15 |
+
"learning_rate": 0.00019870503597122302,
|
| 16 |
+
"loss": 0.0425,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.07194244604316546,
|
| 21 |
+
"grad_norm": 0.005511483643203974,
|
| 22 |
+
"learning_rate": 0.00019726618705035972,
|
| 23 |
+
"loss": 0.0008,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.1079136690647482,
|
| 28 |
+
"grad_norm": 0.004138847813010216,
|
| 29 |
+
"learning_rate": 0.00019582733812949641,
|
| 30 |
+
"loss": 0.0006,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.14388489208633093,
|
| 35 |
+
"grad_norm": 0.003660564310848713,
|
| 36 |
+
"learning_rate": 0.00019453237410071942,
|
| 37 |
+
"loss": 0.025,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.17985611510791366,
|
| 42 |
+
"grad_norm": 0.002617336343973875,
|
| 43 |
+
"learning_rate": 0.00019309352517985612,
|
| 44 |
+
"loss": 0.0005,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.2158273381294964,
|
| 49 |
+
"grad_norm": 20.51651382446289,
|
| 50 |
+
"learning_rate": 0.0001916546762589928,
|
| 51 |
+
"loss": 0.0691,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.2517985611510791,
|
| 56 |
+
"grad_norm": 1.180568814277649,
|
| 57 |
+
"learning_rate": 0.0001902158273381295,
|
| 58 |
+
"loss": 0.3193,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.28776978417266186,
|
| 63 |
+
"grad_norm": 0.008585783652961254,
|
| 64 |
+
"learning_rate": 0.00018892086330935253,
|
| 65 |
+
"loss": 0.0207,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.3237410071942446,
|
| 70 |
+
"grad_norm": 0.009863360784947872,
|
| 71 |
+
"learning_rate": 0.00018748201438848923,
|
| 72 |
+
"loss": 0.105,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.3597122302158273,
|
| 77 |
+
"grad_norm": 0.12301458418369293,
|
| 78 |
+
"learning_rate": 0.0001860431654676259,
|
| 79 |
+
"loss": 0.0808,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.3597122302158273,
|
| 84 |
+
"eval_accuracy": 0.9705263157894737,
|
| 85 |
+
"eval_f1": 0.9693514490081853,
|
| 86 |
+
"eval_loss": 0.1167958602309227,
|
| 87 |
+
"eval_precision": 0.9646464646464646,
|
| 88 |
+
"eval_recall": 0.9759450171821306,
|
| 89 |
+
"eval_runtime": 5.9396,
|
| 90 |
+
"eval_samples_per_second": 79.972,
|
| 91 |
+
"eval_steps_per_second": 10.102,
|
| 92 |
+
"step": 100
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.39568345323741005,
|
| 96 |
+
"grad_norm": 0.0395534411072731,
|
| 97 |
+
"learning_rate": 0.0001846043165467626,
|
| 98 |
+
"loss": 0.0784,
|
| 99 |
+
"step": 110
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.4316546762589928,
|
| 103 |
+
"grad_norm": 0.007597455754876137,
|
| 104 |
+
"learning_rate": 0.0001831654676258993,
|
| 105 |
+
"loss": 0.1622,
|
| 106 |
+
"step": 120
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 0.4676258992805755,
|
| 110 |
+
"grad_norm": 0.008104625158011913,
|
| 111 |
+
"learning_rate": 0.000181726618705036,
|
| 112 |
+
"loss": 0.0327,
|
| 113 |
+
"step": 130
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 0.5035971223021583,
|
| 117 |
+
"grad_norm": 0.012004414573311806,
|
| 118 |
+
"learning_rate": 0.0001802877697841727,
|
| 119 |
+
"loss": 0.0899,
|
| 120 |
+
"step": 140
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.539568345323741,
|
| 124 |
+
"grad_norm": 0.023231692612171173,
|
| 125 |
+
"learning_rate": 0.00017884892086330936,
|
| 126 |
+
"loss": 0.153,
|
| 127 |
+
"step": 150
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 0.5755395683453237,
|
| 131 |
+
"grad_norm": 0.04413440078496933,
|
| 132 |
+
"learning_rate": 0.00017741007194244606,
|
| 133 |
+
"loss": 0.1071,
|
| 134 |
+
"step": 160
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.6115107913669064,
|
| 138 |
+
"grad_norm": 0.032176461070775986,
|
| 139 |
+
"learning_rate": 0.00017597122302158273,
|
| 140 |
+
"loss": 0.0832,
|
| 141 |
+
"step": 170
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.6474820143884892,
|
| 145 |
+
"grad_norm": 0.01023666001856327,
|
| 146 |
+
"learning_rate": 0.00017453237410071943,
|
| 147 |
+
"loss": 0.0437,
|
| 148 |
+
"step": 180
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"epoch": 0.6834532374100719,
|
| 152 |
+
"grad_norm": 1.4527229070663452,
|
| 153 |
+
"learning_rate": 0.00017309352517985612,
|
| 154 |
+
"loss": 0.0117,
|
| 155 |
+
"step": 190
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.7194244604316546,
|
| 159 |
+
"grad_norm": 0.05816151946783066,
|
| 160 |
+
"learning_rate": 0.0001716546762589928,
|
| 161 |
+
"loss": 0.212,
|
| 162 |
+
"step": 200
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.7194244604316546,
|
| 166 |
+
"eval_accuracy": 0.9705263157894737,
|
| 167 |
+
"eval_f1": 0.9691306446821153,
|
| 168 |
+
"eval_loss": 0.12086797505617142,
|
| 169 |
+
"eval_precision": 0.9666666666666666,
|
| 170 |
+
"eval_recall": 0.9719483041984163,
|
| 171 |
+
"eval_runtime": 5.9309,
|
| 172 |
+
"eval_samples_per_second": 80.089,
|
| 173 |
+
"eval_steps_per_second": 10.116,
|
| 174 |
+
"step": 200
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.7553956834532374,
|
| 178 |
+
"grad_norm": 0.013493811711668968,
|
| 179 |
+
"learning_rate": 0.00017021582733812952,
|
| 180 |
+
"loss": 0.1312,
|
| 181 |
+
"step": 210
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.7913669064748201,
|
| 185 |
+
"grad_norm": 0.01136984582990408,
|
| 186 |
+
"learning_rate": 0.0001687769784172662,
|
| 187 |
+
"loss": 0.0076,
|
| 188 |
+
"step": 220
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.8273381294964028,
|
| 192 |
+
"grad_norm": 0.010255228728055954,
|
| 193 |
+
"learning_rate": 0.0001673381294964029,
|
| 194 |
+
"loss": 0.0016,
|
| 195 |
+
"step": 230
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.8633093525179856,
|
| 199 |
+
"grad_norm": 0.006183688063174486,
|
| 200 |
+
"learning_rate": 0.0001658992805755396,
|
| 201 |
+
"loss": 0.0021,
|
| 202 |
+
"step": 240
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 0.8992805755395683,
|
| 206 |
+
"grad_norm": 0.006337467581033707,
|
| 207 |
+
"learning_rate": 0.00016446043165467626,
|
| 208 |
+
"loss": 0.055,
|
| 209 |
+
"step": 250
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.935251798561151,
|
| 213 |
+
"grad_norm": 0.005062475800514221,
|
| 214 |
+
"learning_rate": 0.00016302158273381296,
|
| 215 |
+
"loss": 0.0747,
|
| 216 |
+
"step": 260
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.9712230215827338,
|
| 220 |
+
"grad_norm": 0.02078184485435486,
|
| 221 |
+
"learning_rate": 0.00016158273381294963,
|
| 222 |
+
"loss": 0.0664,
|
| 223 |
+
"step": 270
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 1.0071942446043165,
|
| 227 |
+
"grad_norm": 0.008888340555131435,
|
| 228 |
+
"learning_rate": 0.00016014388489208632,
|
| 229 |
+
"loss": 0.0019,
|
| 230 |
+
"step": 280
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 1.0431654676258992,
|
| 234 |
+
"grad_norm": 0.008093398064374924,
|
| 235 |
+
"learning_rate": 0.00015870503597122305,
|
| 236 |
+
"loss": 0.0011,
|
| 237 |
+
"step": 290
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 1.079136690647482,
|
| 241 |
+
"grad_norm": 0.004925600253045559,
|
| 242 |
+
"learning_rate": 0.00015726618705035972,
|
| 243 |
+
"loss": 0.0008,
|
| 244 |
+
"step": 300
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 1.079136690647482,
|
| 248 |
+
"eval_accuracy": 0.991578947368421,
|
| 249 |
+
"eval_f1": 0.9911287912744658,
|
| 250 |
+
"eval_loss": 0.0403330959379673,
|
| 251 |
+
"eval_precision": 0.9911287912744658,
|
| 252 |
+
"eval_recall": 0.9911287912744658,
|
| 253 |
+
"eval_runtime": 6.5468,
|
| 254 |
+
"eval_samples_per_second": 72.555,
|
| 255 |
+
"eval_steps_per_second": 9.165,
|
| 256 |
+
"step": 300
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 1.1151079136690647,
|
| 260 |
+
"grad_norm": 0.0044704582542181015,
|
| 261 |
+
"learning_rate": 0.00015582733812949642,
|
| 262 |
+
"loss": 0.0005,
|
| 263 |
+
"step": 310
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.1510791366906474,
|
| 267 |
+
"grad_norm": 0.005276895128190517,
|
| 268 |
+
"learning_rate": 0.0001543884892086331,
|
| 269 |
+
"loss": 0.0006,
|
| 270 |
+
"step": 320
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.1870503597122302,
|
| 274 |
+
"grad_norm": 0.004525118041783571,
|
| 275 |
+
"learning_rate": 0.0001529496402877698,
|
| 276 |
+
"loss": 0.0261,
|
| 277 |
+
"step": 330
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 1.223021582733813,
|
| 281 |
+
"grad_norm": 0.1290452778339386,
|
| 282 |
+
"learning_rate": 0.00015151079136690649,
|
| 283 |
+
"loss": 0.0008,
|
| 284 |
+
"step": 340
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.2589928057553956,
|
| 288 |
+
"grad_norm": 0.09148821979761124,
|
| 289 |
+
"learning_rate": 0.00015007194244604316,
|
| 290 |
+
"loss": 0.0008,
|
| 291 |
+
"step": 350
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.2949640287769784,
|
| 295 |
+
"grad_norm": 0.0038220672868192196,
|
| 296 |
+
"learning_rate": 0.00014863309352517985,
|
| 297 |
+
"loss": 0.0008,
|
| 298 |
+
"step": 360
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 1.330935251798561,
|
| 302 |
+
"grad_norm": 0.0043488466180861,
|
| 303 |
+
"learning_rate": 0.00014719424460431655,
|
| 304 |
+
"loss": 0.0536,
|
| 305 |
+
"step": 370
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 1.3669064748201438,
|
| 309 |
+
"grad_norm": 0.007121060974895954,
|
| 310 |
+
"learning_rate": 0.00014575539568345325,
|
| 311 |
+
"loss": 0.01,
|
| 312 |
+
"step": 380
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 1.4028776978417266,
|
| 316 |
+
"grad_norm": 0.0033652805723249912,
|
| 317 |
+
"learning_rate": 0.00014431654676258995,
|
| 318 |
+
"loss": 0.0023,
|
| 319 |
+
"step": 390
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 1.4388489208633093,
|
| 323 |
+
"grad_norm": 9.669677734375,
|
| 324 |
+
"learning_rate": 0.00014287769784172662,
|
| 325 |
+
"loss": 0.0041,
|
| 326 |
+
"step": 400
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 1.4388489208633093,
|
| 330 |
+
"eval_accuracy": 0.9894736842105263,
|
| 331 |
+
"eval_f1": 0.9889220062596495,
|
| 332 |
+
"eval_loss": 0.04642796143889427,
|
| 333 |
+
"eval_precision": 0.9884436160298229,
|
| 334 |
+
"eval_recall": 0.9894105782160466,
|
| 335 |
+
"eval_runtime": 6.793,
|
| 336 |
+
"eval_samples_per_second": 69.925,
|
| 337 |
+
"eval_steps_per_second": 8.833,
|
| 338 |
+
"step": 400
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.474820143884892,
|
| 342 |
+
"grad_norm": 0.003309508552774787,
|
| 343 |
+
"learning_rate": 0.00014143884892086332,
|
| 344 |
+
"loss": 0.0004,
|
| 345 |
+
"step": 410
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.5107913669064748,
|
| 349 |
+
"grad_norm": 0.0035187567118555307,
|
| 350 |
+
"learning_rate": 0.00014,
|
| 351 |
+
"loss": 0.0005,
|
| 352 |
+
"step": 420
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.5467625899280577,
|
| 356 |
+
"grad_norm": 0.0034841764718294144,
|
| 357 |
+
"learning_rate": 0.00013856115107913669,
|
| 358 |
+
"loss": 0.0005,
|
| 359 |
+
"step": 430
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.5827338129496402,
|
| 363 |
+
"grad_norm": 0.04978319630026817,
|
| 364 |
+
"learning_rate": 0.00013712230215827338,
|
| 365 |
+
"loss": 0.0006,
|
| 366 |
+
"step": 440
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.6187050359712232,
|
| 370 |
+
"grad_norm": 11.15152645111084,
|
| 371 |
+
"learning_rate": 0.00013568345323741008,
|
| 372 |
+
"loss": 0.0305,
|
| 373 |
+
"step": 450
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.6546762589928057,
|
| 377 |
+
"grad_norm": 0.0030082084704190493,
|
| 378 |
+
"learning_rate": 0.00013424460431654678,
|
| 379 |
+
"loss": 0.0003,
|
| 380 |
+
"step": 460
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.6906474820143886,
|
| 384 |
+
"grad_norm": 0.002781275659799576,
|
| 385 |
+
"learning_rate": 0.00013280575539568345,
|
| 386 |
+
"loss": 0.0003,
|
| 387 |
+
"step": 470
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.7266187050359711,
|
| 391 |
+
"grad_norm": 0.0027191194240003824,
|
| 392 |
+
"learning_rate": 0.00013136690647482015,
|
| 393 |
+
"loss": 0.0005,
|
| 394 |
+
"step": 480
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.762589928057554,
|
| 398 |
+
"grad_norm": 0.0029242518357932568,
|
| 399 |
+
"learning_rate": 0.00012992805755395685,
|
| 400 |
+
"loss": 0.0494,
|
| 401 |
+
"step": 490
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.7985611510791366,
|
| 405 |
+
"grad_norm": 0.0035123827401548624,
|
| 406 |
+
"learning_rate": 0.00012848920863309352,
|
| 407 |
+
"loss": 0.0004,
|
| 408 |
+
"step": 500
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.7985611510791366,
|
| 412 |
+
"eval_accuracy": 0.968421052631579,
|
| 413 |
+
"eval_f1": 0.9671339412977595,
|
| 414 |
+
"eval_loss": 0.1312914788722992,
|
| 415 |
+
"eval_precision": 0.962668443925063,
|
| 416 |
+
"eval_recall": 0.9732276258777828,
|
| 417 |
+
"eval_runtime": 6.6073,
|
| 418 |
+
"eval_samples_per_second": 71.89,
|
| 419 |
+
"eval_steps_per_second": 9.081,
|
| 420 |
+
"step": 500
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.8345323741007196,
|
| 424 |
+
"grad_norm": 0.0036016402300447226,
|
| 425 |
+
"learning_rate": 0.00012705035971223022,
|
| 426 |
+
"loss": 0.0997,
|
| 427 |
+
"step": 510
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"epoch": 1.870503597122302,
|
| 431 |
+
"grad_norm": 0.004752186127007008,
|
| 432 |
+
"learning_rate": 0.0001256115107913669,
|
| 433 |
+
"loss": 0.0297,
|
| 434 |
+
"step": 520
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 1.906474820143885,
|
| 438 |
+
"grad_norm": 0.005383871030062437,
|
| 439 |
+
"learning_rate": 0.0001241726618705036,
|
| 440 |
+
"loss": 0.0007,
|
| 441 |
+
"step": 530
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.9424460431654675,
|
| 445 |
+
"grad_norm": 0.0036646986845880747,
|
| 446 |
+
"learning_rate": 0.0001227338129496403,
|
| 447 |
+
"loss": 0.004,
|
| 448 |
+
"step": 540
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 1.9784172661870505,
|
| 452 |
+
"grad_norm": 0.00526112737134099,
|
| 453 |
+
"learning_rate": 0.00012129496402877698,
|
| 454 |
+
"loss": 0.0652,
|
| 455 |
+
"step": 550
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 2.014388489208633,
|
| 459 |
+
"grad_norm": 0.004464145749807358,
|
| 460 |
+
"learning_rate": 0.00011985611510791368,
|
| 461 |
+
"loss": 0.0006,
|
| 462 |
+
"step": 560
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 2.050359712230216,
|
| 466 |
+
"grad_norm": 0.006042866501957178,
|
| 467 |
+
"learning_rate": 0.00011841726618705036,
|
| 468 |
+
"loss": 0.0007,
|
| 469 |
+
"step": 570
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 2.0863309352517985,
|
| 473 |
+
"grad_norm": 0.1046941950917244,
|
| 474 |
+
"learning_rate": 0.00011697841726618706,
|
| 475 |
+
"loss": 0.001,
|
| 476 |
+
"step": 580
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.1223021582733814,
|
| 480 |
+
"grad_norm": 0.0033078379929065704,
|
| 481 |
+
"learning_rate": 0.00011553956834532376,
|
| 482 |
+
"loss": 0.0004,
|
| 483 |
+
"step": 590
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 2.158273381294964,
|
| 487 |
+
"grad_norm": 0.016841504722833633,
|
| 488 |
+
"learning_rate": 0.00011410071942446043,
|
| 489 |
+
"loss": 0.0005,
|
| 490 |
+
"step": 600
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 2.158273381294964,
|
| 494 |
+
"eval_accuracy": 0.9810526315789474,
|
| 495 |
+
"eval_f1": 0.9802102573360923,
|
| 496 |
+
"eval_loss": 0.08548920601606369,
|
| 497 |
+
"eval_precision": 0.9766839378238341,
|
| 498 |
+
"eval_recall": 0.9845360824742269,
|
| 499 |
+
"eval_runtime": 6.6607,
|
| 500 |
+
"eval_samples_per_second": 71.314,
|
| 501 |
+
"eval_steps_per_second": 9.008,
|
| 502 |
+
"step": 600
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 2.158273381294964,
|
| 506 |
+
"step": 600,
|
| 507 |
+
"total_flos": 3.711866302538957e+17,
|
| 508 |
+
"train_loss": 0.03943447194062173,
|
| 509 |
+
"train_runtime": 362.7821,
|
| 510 |
+
"train_samples_per_second": 30.583,
|
| 511 |
+
"train_steps_per_second": 3.832
|
| 512 |
+
}
|
| 513 |
+
],
|
| 514 |
+
"logging_steps": 10,
|
| 515 |
+
"max_steps": 1390,
|
| 516 |
+
"num_input_tokens_seen": 0,
|
| 517 |
+
"num_train_epochs": 5,
|
| 518 |
+
"save_steps": 100,
|
| 519 |
+
"stateful_callbacks": {
|
| 520 |
+
"EarlyStoppingCallback": {
|
| 521 |
+
"args": {
|
| 522 |
+
"early_stopping_patience": 3,
|
| 523 |
+
"early_stopping_threshold": 0.0
|
| 524 |
+
},
|
| 525 |
+
"attributes": {
|
| 526 |
+
"early_stopping_patience_counter": 3
|
| 527 |
+
}
|
| 528 |
+
},
|
| 529 |
+
"TrainerControl": {
|
| 530 |
+
"args": {
|
| 531 |
+
"should_epoch_stop": false,
|
| 532 |
+
"should_evaluate": false,
|
| 533 |
+
"should_log": false,
|
| 534 |
+
"should_save": true,
|
| 535 |
+
"should_training_stop": true
|
| 536 |
+
},
|
| 537 |
+
"attributes": {}
|
| 538 |
+
}
|
| 539 |
+
},
|
| 540 |
+
"total_flos": 3.711866302538957e+17,
|
| 541 |
+
"train_batch_size": 8,
|
| 542 |
+
"trial_name": null,
|
| 543 |
+
"trial_params": null
|
| 544 |
+
}
|