---
license: mit
tags:
- generated_from_trainer
base_model: desarrolloasesoreslocales/bert-leg-al-corpus
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: 1.7132

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 54   | 1.7600          |
| No log        | 2.0   | 108  | 1.7598          |
| No log        | 3.0   | 162  | 1.7642          |
| No log        | 4.0   | 216  | 1.7780          |
| No log        | 5.0   | 270  | 1.7340          |
| No log        | 6.0   | 324  | 1.7279          |
| No log        | 7.0   | 378  | 1.7354          |
| No log        | 8.0   | 432  | 1.7241          |
| No log        | 9.0   | 486  | 1.7431          |
| 1.8388        | 10.0  | 540  | 1.7157          |
| 1.8388        | 11.0  | 594  | 1.7248          |
| 1.8388        | 12.0  | 648  | 1.7144          |
| 1.8388        | 13.0  | 702  | 1.6979          |
| 1.8388        | 14.0  | 756  | 1.7217          |
| 1.8388        | 15.0  | 810  | 1.7059          |
| 1.8388        | 16.0  | 864  | 1.7506          |
| 1.8388        | 17.0  | 918  | 1.7058          |
| 1.8388        | 18.0  | 972  | 1.6922          |
| 1.7728        | 19.0  | 1026 | 1.6916          |
| 1.7728        | 20.0  | 1080 | 1.7038          |


### Framework versions

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