
<!-- 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. -->

# buscacerveja-beer

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7803
- Accuracy: 0.8696

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.94  | 8    | 4.0031          | 0.0      |
| No log        | 2.0   | 17   | 3.7600          | 0.1304   |
| No log        | 2.94  | 25   | 3.5740          | 0.1739   |
| No log        | 4.0   | 34   | 3.3585          | 0.4348   |
| No log        | 4.94  | 42   | 3.1771          | 0.6522   |
| No log        | 6.0   | 51   | 3.0414          | 0.6522   |
| No log        | 6.94  | 59   | 2.9490          | 0.7391   |
| No log        | 8.0   | 68   | 2.8559          | 0.8261   |
| No log        | 8.94  | 76   | 2.7900          | 0.8696   |
| No log        | 9.41  | 80   | 2.7803          | 0.8696   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0.dev20230621+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "buscacerveja-beer", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:bert-base-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us