transformers tensorboard safetensors bert question-answering generated_from_trainer base_model:pierreguillou/bert-base-cased-squad-v1.1-portuguese license:mit endpoints_compatible region:us
---
license: mit
base_model: pierreguillou/bert-base-cased-squad-v1.1-portuguese
tags:
- generated_from_trainer
model-index:
- name: modelo_llm
  results: []
---

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# modelo_llm

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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4656

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 263  | 0.5283          |
| 0.6388        | 2.0   | 526  | 0.5017          |
| 0.6388        | 3.0   | 789  | 0.4508          |
| 0.3642        | 4.0   | 1052 | 0.4479          |
| 0.3642        | 5.0   | 1315 | 0.4656          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1+cpu
- Datasets 2.16.1
- Tokenizers 0.15.1
