---
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_raid_human_clean
  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. -->

# fine_tuned_raid_human_clean

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: 0.1052
- Accuracy: 0.9825

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4292        | 0.04  | 100  | 0.7224          | 0.81     |
| 0.2732        | 0.09  | 200  | 0.4461          | 0.9015   |
| 0.2239        | 0.13  | 300  | 0.1854          | 0.9685   |
| 0.2331        | 0.18  | 400  | 0.0785          | 0.983    |
| 0.1365        | 0.22  | 500  | 0.1052          | 0.9825   |
| 0.1672        | 0.27  | 600  | 0.1294          | 0.975    |
| 0.1344        | 0.31  | 700  | 0.1861          | 0.9625   |
| 0.0879        | 0.36  | 800  | 0.1234          | 0.978    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0