---
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: 0.0598
- Accuracy: 0.99

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.393         | 0.15  | 100  | 0.1670          | 0.97     |
| 0.2681        | 0.3   | 200  | 0.2389          | 0.9583   |
| 0.1241        | 0.44  | 300  | 0.0751          | 0.9883   |
| 0.1371        | 0.59  | 400  | 0.0506          | 0.9867   |
| 0.0888        | 0.74  | 500  | 0.0598          | 0.99     |
| 0.1169        | 0.89  | 600  | 0.0633          | 0.9917   |
| 0.0501        | 1.04  | 700  | 0.0804          | 0.9883   |
| 0.0452        | 1.19  | 800  | 0.1110          | 0.9833   |


### Framework versions

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