---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bert-base-cased-finetuned-squad_v2-bs_32
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-cased-finetuned-squad_v2-bs_32

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5835

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0646        | 1.0   | 4128  | 1.1130          |
| 0.8143        | 2.0   | 8256  | 1.1558          |
| 0.6028        | 3.0   | 12384 | 1.3857          |
| 0.47          | 4.0   | 16512 | 1.4318          |
| 0.3676        | 5.0   | 20640 | 1.5835          |


### Framework versions

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