---
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_2e-5
  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_2e-5

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: 0.0000
- Accuracy: 1.0

## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0632        | 0.25  | 100  | 0.0001          | 1.0      |
| 0.0001        | 0.5   | 200  | 0.0000          | 1.0      |
| 0.0013        | 0.75  | 300  | 0.0000          | 1.0      |
| 0.0001        | 1.01  | 400  | 0.0000          | 1.0      |
| 0.0           | 1.26  | 500  | 0.0000          | 1.0      |
| 0.0           | 1.51  | 600  | 0.0000          | 1.0      |
| 0.0           | 1.76  | 700  | 0.0000          | 1.0      |
| 0.0           | 2.01  | 800  | 0.0000          | 1.0      |
| 0.0           | 2.26  | 900  | 0.0000          | 1.0      |
| 0.0004        | 2.51  | 1000 | 0.0000          | 1.0      |
| 0.0           | 2.76  | 1100 | 0.0000          | 1.0      |


### Framework versions

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