transformers pytorch tensorboard distilbert question-answering generated_from_trainer dataset:squad license:apache-2.0 endpoints_compatible region:us
---
datasets:
- squad
license: apache-2.0
tags:
- generated_from_trainer
model_index:
- name: distilbert-base-uncased-finetuned-squad
  results:
  - task:
      name: Question Answering
      type: question-answering
    dataset:
      name: squad
      type: squad
      args: plain_text
---

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# distilbert-base-uncased-finetuned-squad

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1523

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2171        | 1.0   | 5533  | 1.1511          |
| 0.952         | 2.0   | 11066 | 1.1180          |
| 0.7707        | 3.0   | 16599 | 1.1523          |


### Framework versions

- Transformers 4.9.2
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
