---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: fire_or_not
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fire_or_not

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: 0.5768

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4667        | 1.0   | 343  | 0.5833          |
| 0.7134        | 2.0   | 686  | 0.5768          |
| 0.3713        | 3.0   | 1029 | 0.6627          |
| 0.2676        | 4.0   | 1372 | 0.5839          |
| 0.5337        | 5.0   | 1715 | 0.9343          |
| 0.2096        | 6.0   | 2058 | 0.8992          |
| 0.0586        | 7.0   | 2401 | 0.9487          |
| 0.0483        | 8.0   | 2744 | 1.0178          |
| 0.0565        | 9.0   | 3087 | 1.0771          |
| 0.1489        | 10.0  | 3430 | 1.0715          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2