---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
datasets:
- data_loader
model-index:
- name: roberta_finetune_model
  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_finetune_model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the data_loader dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0282

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0006        | 1.0   | 720  | 0.0326          |
| 0.1065        | 2.0   | 1440 | 0.0324          |
| 0.0001        | 3.0   | 2160 | 0.0282          |
| 0.0           | 4.0   | 2880 | 0.0309          |
| 0.0           | 5.0   | 3600 | 0.0317          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1