Downloads · 30 days
4
10% of all-time downloads
KTB-finetune-wangchan2
jab11769/KTB-finetune-wangchan2
KTB-finetune-wangchan2 is a text classification model from jab11769. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
39
Public
Parameters
105M
1.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors421 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- May 27, 2025
- Updated
- May 27, 2025
- SHA
- 7a1d3f40
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
KTB-finetune-wangchan2
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0846
- Accuracy: 0.4330
- Precision: 0.4624
- Recall: 0.4330
- F1: 0.3956
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 14 | 1.1169 | 0.3608 | 0.2185 | 0.3608 | 0.2722 |
| No log | 2.0 | 28 | 1.1113 | 0.3814 | 0.3102 | 0.3814 | 0.3303 |
| No log | 3.0 | 42 | 1.0851 | 0.4124 | 0.3384 | 0.4124 | 0.3373 |
| No log | 4.0 | 56 | 1.0999 | 0.4227 | 0.3430 | 0.4227 | 0.2880 |
| No log | 5.0 | 70 | 1.0953 | 0.3814 | 0.3760 | 0.3814 | 0.3100 |
| No log | 6.0 | 84 | 1.0783 | 0.4021 | 0.3109 | 0.4021 | 0.3262 |
| No log | 7.0 | 98 | 1.0914 | 0.3918 | 0.3012 | 0.3918 | 0.3218 |
| No log | 8.0 | 112 | 1.0998 | 0.3918 | 0.3676 | 0.3918 | 0.3396 |
| No log | 9.0 | 126 | 1.1017 | 0.4021 | 0.4020 | 0.4021 | 0.3461 |
| No log | 10.0 | 140 | 1.0662 | 0.4227 | 0.4291 | 0.4227 | 0.3448 |
| No log | 11.0 | 154 | 1.0933 | 0.4227 | 0.3507 | 0.4227 | 0.3444 |
| No log | 12.0 | 168 | 1.1042 | 0.3402 | 0.2775 | 0.3402 | 0.3029 |
| No log | 13.0 | 182 | 1.0863 | 0.4330 | 0.3640 | 0.4330 | 0.3515 |
| No log | 14.0 | 196 | 1.0963 | 0.4021 | 0.3690 | 0.4021 | 0.3332 |
| No log | 15.0 | 210 | 1.1130 | 0.4124 | 0.4155 | 0.4124 | 0.3500 |
| No log | 16.0 | 224 | 1.1093 | 0.4227 | 0.4300 | 0.4227 | 0.3810 |
| No log | 17.0 | 238 | 1.1093 | 0.4330 | 0.4527 | 0.4330 | 0.3885 |
| No log | 18.0 | 252 | 1.0891 | 0.4433 | 0.4751 | 0.4433 | 0.4092 |
| No log | 19.0 | 266 | 1.0850 | 0.4330 | 0.4624 | 0.4330 | 0.3956 |
| No log | 20.0 | 280 | 1.0846 | 0.4330 | 0.4624 | 0.4330 | 0.3956 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Created
- May 27, 2025
- Updated
- May 27, 2025