---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-cased-squad
  results: []
---

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

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4144

## 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: 8
- eval_batch_size: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8764        | 1.0   | 1688  | 1.4144          |
| 0.5653        | 2.0   | 3376  | 1.4274          |
| 0.3689        | 3.0   | 5064  | 1.7517          |
| 0.2427        | 4.0   | 6752  | 2.0817          |
| 0.1613        | 5.0   | 8440  | 2.3114          |
| 0.1159        | 6.0   | 10128 | 2.5096          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3