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

# roberta-large

This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5329
- Accuracy: 0.9121

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 782   | 0.2406          | 0.8990   |
| 0.3075        | 2.0   | 1564  | 0.2539          | 0.8962   |
| 0.2171        | 3.0   | 2346  | 0.2650          | 0.9031   |
| 0.1697        | 4.0   | 3128  | 0.3427          | 0.8973   |
| 0.1697        | 5.0   | 3910  | 0.3241          | 0.9031   |
| 0.1339        | 6.0   | 4692  | 0.4141          | 0.9049   |
| 0.1038        | 7.0   | 5474  | 0.4572          | 0.8946   |
| 0.0922        | 8.0   | 6256  | 0.4154          | 0.9054   |
| 0.0676        | 9.0   | 7038  | 0.5020          | 0.8982   |
| 0.0676        | 10.0  | 7820  | 0.5070          | 0.9071   |
| 0.0568        | 11.0  | 8602  | 0.4826          | 0.9067   |
| 0.0443        | 12.0  | 9384  | 0.5104          | 0.9086   |
| 0.0313        | 13.0  | 10166 | 0.5456          | 0.9088   |
| 0.0313        | 14.0  | 10948 | 0.4740          | 0.9078   |
| 0.0245        | 15.0  | 11730 | 0.4977          | 0.9071   |
| 0.0227        | 16.0  | 12512 | 0.5136          | 0.9098   |
| 0.0175        | 17.0  | 13294 | 0.5131          | 0.9108   |
| 0.0173        | 18.0  | 14076 | 0.5370          | 0.9109   |
| 0.0173        | 19.0  | 14858 | 0.5344          | 0.9126   |
| 0.0152        | 20.0  | 15640 | 0.5329          | 0.9121   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2