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# PCT3F_new_wangchanberta-base-att-spm-uncased

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: 0.4920

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8872        | 1.0   | 4321  | 0.5377          |
| 0.5102        | 2.0   | 8642  | 0.4925          |
| 0.4445        | 3.0   | 12963 | 0.4779          |
| 0.4047        | 4.0   | 17284 | 0.4855          |
| 0.3802        | 5.0   | 21605 | 0.4920          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 1.17.0
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "base_model": "airesearch/wangchanberta-base-att-spm-uncased", "model-index": [{"name": "PCT3F_new_wangchanberta-base-att-spm-uncased", "results": []}]}
transformers tensorboard safetensors camembert fill-mask generated_from_trainer base_model:airesearch/wangchanberta-base-att-spm-uncased autotrain_compatible endpoints_compatible region:us