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# KLTN_CSI_xlm

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0086

## 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: 8
- seed: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 369  | 0.1818          |
| 0.3102        | 2.0   | 738  | 0.1137          |
| 0.1924        | 3.0   | 1107 | 0.0781          |
| 0.1924        | 4.0   | 1476 | 0.0495          |
| 0.1345        | 5.0   | 1845 | 0.0299          |
| 0.0815        | 6.0   | 2214 | 0.0810          |
| 0.0574        | 7.0   | 2583 | 0.0148          |
| 0.0574        | 8.0   | 2952 | 0.0090          |
| 0.0324        | 9.0   | 3321 | 0.0096          |
| 0.0131        | 10.0  | 3690 | 0.0086          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "KLTN_CSI_xlm", "results": []}]}
transformers tensorboard safetensors xlm-roberta text-classification generated_from_trainer base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us