---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
datasets:
- swag
metrics:
- accuracy
model-index:
- name: distilroberta_optionsChoose
  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. -->

# distilroberta_optionsChoose

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the swag dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7727
- Accuracy: 0.7381

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9344        | 1.0   | 4597  | 0.7569          | 0.6907   |
| 0.6714        | 2.0   | 9194  | 0.7102          | 0.7233   |
| 0.4522        | 3.0   | 13791 | 0.7727          | 0.7381   |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3