---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: model02
  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. -->

# model02

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1771

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6058        | 1.0   | 10   | 0.5832          |
| 0.5779        | 2.0   | 20   | 0.5524          |
| 0.528         | 3.0   | 30   | 0.4954          |
| 0.4415        | 4.0   | 40   | 0.3786          |
| 0.2891        | 5.0   | 50   | 0.1771          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.2.0.dev20230907+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2