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# roberta-base_PrefixTuning_lr0.0005_bs4_epoch10_wd0.01

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: 5.0851

## 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: 0.0005
- train_batch_size: 4
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 15.3385       | 1.0   | 157  | 20.7168         |
| 12.9436       | 2.0   | 314  | 18.8931         |
| 10.6675       | 3.0   | 471  | 9.2559          |
| 6.7709        | 4.0   | 628  | 6.2652          |
| 6.4354        | 5.0   | 785  | 5.7066          |
| 5.9426        | 6.0   | 942  | 5.4725          |
| 5.7576        | 7.0   | 1099 | 5.3012          |
| 5.5423        | 8.0   | 1256 | 5.1759          |
| 5.437         | 9.0   | 1413 | 5.1129          |
| 5.388         | 10.0  | 1570 | 5.0851          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base_PrefixTuning_lr0.0005_bs4_epoch10_wd0.01", "results": []}]}
safetensors generated_from_trainer base_model:roberta-base license:mit region:us