tags: | |
- generated_from_trainer | |
model-index: | |
- name: wangchanberta-base-att-spm-uncased-masking | |
results: [] | |
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# wangchanberta-base-att-spm-uncased-masking | |
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. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.0452 | |
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 1 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 0.097 | 1.0 | 375 | 0.0452 | | |
### Framework versions | |
- Transformers 4.15.0 | |
- Pytorch 2.3.0+cu121 | |
- Datasets 1.17.0 | |
- Tokenizers 0.10.3 | |