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# FOCALtrain

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2758

## 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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3121        | 1.0   | 474  | 1.3494          |
| 0.9964        | 2.0   | 948  | 1.3077          |
| 1.0453        | 3.0   | 1422 | 1.2758          |
| 0.6379        | 4.0   | 1896 | 1.5232          |
| 0.765         | 5.0   | 2370 | 1.5891          |
| 0.2287        | 6.0   | 2844 | 2.2163          |
| 0.1243        | 7.0   | 3318 | 2.5331          |
| 0.1699        | 8.0   | 3792 | 2.7521          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1

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