---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
datasets:
- cosmos_qa
metrics:
- accuracy
- f1
model-index:
- name: NLP_HW3_roberta
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# NLP_HW3_roberta

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the cosmos_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1807
- Accuracy: 0.6704
- F1: 0.6703

## 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



### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1