---
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: HomophobicClassfication_roberta-large_fineTuned_model2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# HomophobicClassfication_roberta-large_fineTuned_model2

This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1747
- Accuracy: 0.6692

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 373  | 1.3208          | 0.7594   |
| 0.2681        | 2.0   | 746  | 1.7243          | 0.7567   |
| 0.0302        | 3.0   | 1119 | 3.1075          | 0.6654   |
| 0.0302        | 4.0   | 1492 | 3.1747          | 0.6692   |


### Framework versions

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