---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-cased-finetuned-squad-bs_16
  results: []
language:
- en
metrics:
- exact_match
- f1
---

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# bert-base-cased-finetuned-squad-bs_16

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3851
- EM: 80.2270 
- F1: 88.0794

## Overview
**Language model:** bert-base-cased  
**Language:** English  
**Downstream-task:** Extractive QA  
**Training data:** SQuAD  
**Eval data:** SQuAD


## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0302        | 1.0   | 5546  | 1.0026          |
| 0.7716        | 2.0   | 11092 | 0.9711          |
| 0.5512        | 3.0   | 16638 | 1.1097          |
| 0.3971        | 4.0   | 22184 | 1.2117          |
| 0.2999        | 5.0   | 27730 | 1.3851          |


### Framework versions

- Transformers 4.34.0
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1