---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: roberta-base-finetuned
  results: []
---

<!-- 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-finetuned

This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3330
- F1: 0.9333
- Roc Auc: 0.95
- Accuracy: 0.9333

## 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: 2e-05
- train_batch_size: 3
- eval_batch_size: 3
- 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 | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
| 0.0946        | 1.0   | 6461  | 0.2880          | 0.9    | 0.9250  | 0.9      |
| 0.0686        | 2.0   | 12922 | 0.2729          | 0.9    | 0.9250  | 0.9      |
| 0.0194        | 3.0   | 19383 | 1.0074          | 0.7833 | 0.8375  | 0.7833   |
| 0.0221        | 4.0   | 25844 | 0.3330          | 0.9333 | 0.95    | 0.9333   |
| 0.0036        | 5.0   | 32305 | 0.6225          | 0.85   | 0.8875  | 0.85     |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1