pytorch tensorboard roberta question-answering dataset:squad transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
  results: []
---

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# distilbert-base-uncased-finetuned-squad

This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1272

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.398         | 1.0   | 2767 | 2.2567          |
| 2.0729        | 2.0   | 5534 | 2.1272          |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
