---
license: mit
base_model: desarrolloasesoreslocales/bert-leg-al-corpus
tags:
- generated_from_trainer
model-index:
- name: bert-leg-al-corpus
  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-leg-al-corpus

This model is a fine-tuned version of [desarrolloasesoreslocales/bert-leg-al-corpus](https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4998

## 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: 36
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 54   | 1.5026          |
| No log        | 2.0   | 108  | 1.5195          |
| No log        | 3.0   | 162  | 1.5277          |
| No log        | 4.0   | 216  | 1.5178          |
| No log        | 5.0   | 270  | 1.4960          |
| No log        | 6.0   | 324  | 1.4699          |
| No log        | 7.0   | 378  | 1.5248          |
| No log        | 8.0   | 432  | 1.5095          |
| No log        | 9.0   | 486  | 1.4827          |
| 1.5432        | 10.0  | 540  | 1.4607          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2