Hugging Face's logo

herobyeKung
/
sentic-singletTextWcBerta-Fold1

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Metrics Community
herobyeKung commited on
Commit
adc76bc
·
verified ·
1 Parent(s): e316cb0

End of training

Browse files
Files changed (2) hide show
  1. README.md +21 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,5 +1,4 @@
1
  ---
2
- base_model: airesearch/wangchanberta-base-att-spm-uncased
3
  tags:
4
  - generated_from_trainer
5
  metrics:
@@ -16,13 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  # sentic-singletTextWcBerta-Fold1
18
 
19
- This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.5203
22
- - Accuracy: 0.7207
23
- - Precision: 0.6983
24
- - Recall: 0.7207
25
- - F1 Score: 0.7008
26
 
27
  ## Model description
28
 
@@ -53,21 +52,21 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
56
- | No log | 1.0 | 60 | 0.6400 | 0.7029 | 0.4941 | 0.7029 | 0.5803 |
57
- | 0.6072 | 2.0 | 120 | 0.6084 | 0.7029 | 0.4941 | 0.7029 | 0.5803 |
58
- | 0.6072 | 3.0 | 180 | 0.6384 | 0.7029 | 0.4941 | 0.7029 | 0.5803 |
59
- | 0.6201 | 4.0 | 240 | 0.5914 | 0.7029 | 0.4941 | 0.7029 | 0.5803 |
60
- | 0.6043 | 5.0 | 300 | 0.5983 | 0.7029 | 0.4941 | 0.7029 | 0.5803 |
61
- | 0.6043 | 6.0 | 360 | 0.5838 | 0.7071 | 0.6955 | 0.7071 | 0.5972 |
62
- | 0.5881 | 7.0 | 420 | 0.5963 | 0.6475 | 0.6661 | 0.6475 | 0.6551 |
63
- | 0.5881 | 8.0 | 480 | 0.5525 | 0.7155 | 0.6908 | 0.7155 | 0.6369 |
64
- | 0.5542 | 9.0 | 540 | 0.5241 | 0.7218 | 0.6984 | 0.7218 | 0.7000 |
65
- | 0.5026 | 10.0 | 600 | 0.5230 | 0.7050 | 0.6998 | 0.7050 | 0.7021 |
66
- | 0.5026 | 11.0 | 660 | 0.5373 | 0.7322 | 0.7106 | 0.7322 | 0.6884 |
67
- | 0.5048 | 12.0 | 720 | 0.5205 | 0.7123 | 0.7048 | 0.7123 | 0.7080 |
68
- | 0.5048 | 13.0 | 780 | 0.5207 | 0.7238 | 0.7016 | 0.7238 | 0.7034 |
69
- | 0.4974 | 14.0 | 840 | 0.5190 | 0.7249 | 0.7056 | 0.7249 | 0.7089 |
70
- | 0.4953 | 15.0 | 900 | 0.5203 | 0.7207 | 0.6983 | 0.7207 | 0.7008 |
71
 
72
 
73
  ### Framework versions
 
1
  ---
 
2
  tags:
3
  - generated_from_trainer
4
  metrics:
 
15
 
16
  # sentic-singletTextWcBerta-Fold1
17
 
18
+ This model was trained from scratch on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.5627
21
+ - Accuracy: 0.7510
22
+ - Precision: 0.7401
23
+ - Recall: 0.7510
24
+ - F1 Score: 0.7431
25
 
26
  ## Model description
27
 
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
55
+ | No log | 1.0 | 60 | 0.6901 | 0.7040 | 0.7917 | 0.7040 | 0.5827 |
56
+ | 0.501 | 2.0 | 120 | 0.5192 | 0.7354 | 0.7138 | 0.7354 | 0.6994 |
57
+ | 0.501 | 3.0 | 180 | 0.5411 | 0.7270 | 0.7045 | 0.7270 | 0.7048 |
58
+ | 0.4839 | 4.0 | 240 | 0.8009 | 0.7029 | 0.6429 | 0.7029 | 0.5822 |
59
+ | 0.4849 | 5.0 | 300 | 0.5294 | 0.7374 | 0.7163 | 0.7374 | 0.7066 |
60
+ | 0.4849 | 6.0 | 360 | 0.5430 | 0.7301 | 0.7109 | 0.7301 | 0.7132 |
61
+ | 0.4684 | 7.0 | 420 | 0.5570 | 0.7312 | 0.7104 | 0.7312 | 0.7110 |
62
+ | 0.4684 | 8.0 | 480 | 0.5740 | 0.7416 | 0.7258 | 0.7416 | 0.7006 |
63
+ | 0.4182 | 9.0 | 540 | 0.6109 | 0.7458 | 0.7328 | 0.7458 | 0.7054 |
64
+ | 0.4052 | 10.0 | 600 | 0.5607 | 0.7490 | 0.7357 | 0.7490 | 0.7383 |
65
+ | 0.4052 | 11.0 | 660 | 0.5974 | 0.7510 | 0.7369 | 0.7510 | 0.7182 |
66
+ | 0.3884 | 12.0 | 720 | 0.5715 | 0.7333 | 0.7423 | 0.7333 | 0.7370 |
67
+ | 0.3884 | 13.0 | 780 | 0.5603 | 0.7552 | 0.7463 | 0.7552 | 0.7492 |
68
+ | 0.364 | 14.0 | 840 | 0.5610 | 0.7573 | 0.7511 | 0.7573 | 0.7535 |
69
+ | 0.3564 | 15.0 | 900 | 0.5627 | 0.7510 | 0.7401 | 0.7510 | 0.7431 |
70
 
71
 
72
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:340db5af12ff31a0997e1dbbb11a31833918c2f941014eb830577f6087a8c315
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62a770582752c65ee5d8ed744f8308f34e9e02abc795648425eb03f9b54438ea
3
  size 437958648