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# KLTN_CSI_COQE_total_v2

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1796

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 308  | 0.2267          |
| 0.2506        | 1.99  | 616  | 0.2477          |
| 0.2506        | 2.99  | 924  | 0.2202          |
| 0.2314        | 3.99  | 1232 | 0.2421          |
| 0.2221        | 4.98  | 1540 | 0.2145          |
| 0.2221        | 5.98  | 1848 | 0.2034          |
| 0.2205        | 6.98  | 2156 | 0.1953          |
| 0.2205        | 7.97  | 2464 | 0.1864          |
| 0.2186        | 8.97  | 2772 | 0.1938          |
| 0.2065        | 9.97  | 3080 | 0.1961          |
| 0.2065        | 10.96 | 3388 | 0.1790          |
| 0.2073        | 11.96 | 3696 | 0.1843          |
| 0.1997        | 12.96 | 4004 | 0.1839          |
| 0.1997        | 13.95 | 4312 | 0.1786          |
| 0.1973        | 14.95 | 4620 | 0.1796          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "KLTN_CSI_COQE_total_v2", "results": []}]}
transformers tensorboard safetensors xlm-roberta text-classification generated_from_trainer base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us