kkoba commited on
Commit
f8921b7
1 Parent(s): 92c7de8

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -8
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: F1
23
  type: f1
24
- value: 0.37298165525403665
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.4076
35
- - F1: 0.3730
36
 
37
  ## Model description
38
 
@@ -52,8 +52,8 @@ More information needed
52
 
53
  The following hyperparameters were used during training:
54
  - learning_rate: 5e-05
55
- - train_batch_size: 24
56
- - eval_batch_size: 24
57
  - seed: 42
58
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
59
  - lr_scheduler_type: linear
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | F1 |
65
  |:-------------:|:-----:|:----:|:---------------:|:------:|
66
- | 0.6084 | 1.0 | 876 | 0.5353 | 0.2118 |
67
- | 0.3911 | 2.0 | 1752 | 0.4691 | 0.3041 |
68
- | 0.2855 | 3.0 | 2628 | 0.4076 | 0.3730 |
69
 
70
 
71
  ### Framework versions
 
21
  metrics:
22
  - name: F1
23
  type: f1
24
+ value: 0.7508346444606471
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.2576
35
+ - F1: 0.7508
36
 
37
  ## Model description
38
 
 
52
 
53
  The following hyperparameters were used during training:
54
  - learning_rate: 5e-05
55
+ - train_batch_size: 16
56
+ - eval_batch_size: 16
57
  - seed: 42
58
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
59
  - lr_scheduler_type: linear
 
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | F1 |
65
  |:-------------:|:-----:|:----:|:---------------:|:------:|
66
+ | 0.2639 | 1.0 | 1313 | 0.2454 | 0.7213 |
67
+ | 0.1623 | 2.0 | 2626 | 0.2428 | 0.7449 |
68
+ | 0.1047 | 3.0 | 3939 | 0.2576 | 0.7508 |
69
 
70
 
71
  ### Framework versions