---
license: mit
base_model: pierreguillou/bert-base-cased-squad-v1.1-portuguese
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-squad-v1.1-portuguese_v1.1.9
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-base-cased-squad-v1.1-portuguese_v1.1.9

This model is a fine-tuned version of [pierreguillou/bert-base-cased-squad-v1.1-portuguese](https://huggingface.co/pierreguillou/bert-base-cased-squad-v1.1-portuguese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1137

## 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: 3e-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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1529        | 1.0   | 4380  | 1.0271          |
| 0.8121        | 2.0   | 8760  | 1.0192          |
| 0.5718        | 3.0   | 13140 | 1.1137          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1