---
library_name: transformers
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FNetHateSpeechClassification
  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. -->

# FNetHateSpeechClassification

This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.4802

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6965        | 1.0   | 1137  | 0.6932          | 0.4802   |
| 0.6943        | 2.0   | 2274  | 0.6927          | 0.5198   |
| 0.6949        | 3.0   | 3411  | 0.6949          | 0.4802   |
| 0.6941        | 4.0   | 4548  | 0.6936          | 0.4802   |
| 0.6939        | 5.0   | 5685  | 0.6926          | 0.5198   |
| 0.6937        | 6.0   | 6822  | 0.6926          | 0.5198   |
| 0.6937        | 7.0   | 7959  | 0.6935          | 0.4802   |
| 0.694         | 8.0   | 9096  | 0.6936          | 0.4802   |
| 0.6934        | 9.0   | 10233 | 0.6932          | 0.4802   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0