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# roberta_classification

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6931

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6884        | 1.0   | 3125  | 0.7034          |
| 0.6953        | 2.0   | 6250  | 0.6931          |
| 0.6901        | 3.0   | 9375  | 0.6980          |
| 0.6982        | 4.0   | 12500 | 0.6935          |
| 0.6963        | 5.0   | 15625 | 0.6935          |
| 0.6904        | 6.0   | 18750 | 0.6932          |
| 0.6876        | 7.0   | 21875 | 0.6932          |
| 0.7063        | 8.0   | 25000 | 0.6933          |
| 0.7211        | 9.0   | 28125 | 0.7049          |
| 0.6967        | 10.0  | 31250 | 0.6933          |
| 0.6903        | 11.0  | 34375 | 0.6932          |
| 0.6945        | 12.0  | 37500 | 0.6945          |
| 0.6899        | 13.0  | 40625 | 0.6932          |
| 0.6883        | 14.0  | 43750 | 0.6936          |
| 0.7075        | 15.0  | 46875 | 0.6931          |


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