---
base_model: bert-base-cased
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: mi-clase-antes-clase
  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. -->

# mi-clase-antes-clase

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: 2.1648
- Accuracy: 0.47

## 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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5671        | 1.0   | 38   | 1.7266          | 0.2      |
| 1.3401        | 2.0   | 76   | 1.4448          | 0.38     |
| 1.1463        | 3.0   | 114  | 1.2995          | 0.44     |
| 0.9089        | 4.0   | 152  | 1.2523          | 0.48     |
| 0.573         | 5.0   | 190  | 1.5740          | 0.41     |
| 0.3689        | 6.0   | 228  | 1.5738          | 0.52     |
| 0.4487        | 7.0   | 266  | 1.7316          | 0.5      |
| 0.3233        | 8.0   | 304  | 1.8300          | 0.5      |
| 0.023         | 9.0   | 342  | 2.0170          | 0.5      |
| 0.0186        | 10.0  | 380  | 2.1648          | 0.47     |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1