---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distil-roberta-qa
  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. -->

# distil-roberta-qa

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2035

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4583        | 1.0   | 1882 | 1.2882          |
| 1.1301        | 2.0   | 3764 | 1.1917          |
| 0.971         | 3.0   | 5646 | 1.2035          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.11.0+cu102
- Datasets 2.8.0
- Tokenizers 0.13.2