---
license: mit
tags:
- generated_from_trainer
datasets:
- quoref
model-index:
- name: roberta-base_mod
  results: []
---

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

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the quoref dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5400

## 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: 3e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6272        | 1.0   | 1213 | 1.4654          |
| 1.0583        | 2.0   | 2426 | 1.4134          |
| 0.6854        | 3.0   | 3639 | 1.5400          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3