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# roberta_regression_final

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5795

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 84   | 0.5795          |
| No log        | 2.0   | 168  | 0.5795          |
| No log        | 3.0   | 252  | 0.5795          |
| No log        | 4.0   | 336  | 0.5795          |
| No log        | 5.0   | 420  | 0.5795          |


### Framework versions

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

{"tags": ["generated_from_trainer"], "model-index": [{"name": "roberta_regression_final", "results": []}]}
transformers tensorboard safetensors generated_from_trainer endpoints_compatible region:us