
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta-base-RILE-v1_frozen_8

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: 0.6666
- Accuracy: 0.7314
- Recall: 0.7314
- F1: 0.7307

## 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-06
- 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|
| 0.6992        | 1.0   | 15490 | 0.6917          | 0.7119   | 0.7119 | 0.7109 |
| 0.6809        | 2.0   | 30980 | 0.6737          | 0.7205   | 0.7205 | 0.7207 |
| 0.6645        | 3.0   | 46470 | 0.6644          | 0.7256   | 0.7256 | 0.7247 |
| 0.6248        | 4.0   | 61960 | 0.6664          | 0.7292   | 0.7292 | 0.7275 |
| 0.6124        | 5.0   | 77450 | 0.6666          | 0.7314   | 0.7314 | 0.7307 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "f1"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-RILE-v1_frozen_8", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us