---
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_3e-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_3e-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: 0.0369
- Accuracy: 0.9933

## 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: 3e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4112        | 0.15  | 100  | 0.2334          | 0.96     |
| 0.3366        | 0.3   | 200  | 0.2366          | 0.96     |
| 0.2548        | 0.44  | 300  | 0.3344          | 0.9233   |
| 0.1728        | 0.59  | 400  | 0.5630          | 0.9017   |
| 0.1559        | 0.74  | 500  | 0.1761          | 0.9733   |
| 0.1139        | 0.89  | 600  | 0.9891          | 0.835    |
| 0.1084        | 1.04  | 700  | 0.1377          | 0.9733   |
| 0.0551        | 1.19  | 800  | 0.0782          | 0.9833   |
| 0.0829        | 1.33  | 900  | 0.0325          | 0.9933   |
| 0.0411        | 1.48  | 1000 | 0.0369          | 0.9933   |
| 0.0274        | 1.63  | 1100 | 0.0144          | 0.9983   |
| 0.0242        | 1.78  | 1200 | 0.0524          | 0.9933   |
| 0.0261        | 1.93  | 1300 | 0.1679          | 0.9817   |
| 0.0115        | 2.07  | 1400 | 0.0870          | 0.9883   |


### Framework versions

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