---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: roberta-large
model-index:
- name: dcai2023-roberta
  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. -->

# dcai2023-roberta

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7027
- Accuracy: 0.7383

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9281        | 1.0   | 530  | 0.7301          | 0.7136   |
| 0.6474        | 2.0   | 1060 | 0.7027          | 0.7383   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0.post200
- Datasets 2.9.0
- Tokenizers 0.13.2