---
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: 1.4067

## 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: 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   | 120  | 1.4773          |
| No log        | 2.0   | 240  | 1.4598          |
| No log        | 3.0   | 360  | 1.4620          |
| No log        | 4.0   | 480  | 1.4332          |
| 1.3749        | 5.0   | 600  | 1.4415          |
| 1.3749        | 6.0   | 720  | 1.4439          |
| 1.3749        | 7.0   | 840  | 1.4384          |
| 1.3749        | 8.0   | 960  | 1.4056          |
| 1.4245        | 9.0   | 1080 | 1.4504          |
| 1.4245        | 10.0  | 1200 | 1.3799          |
| 1.4245        | 11.0  | 1320 | 1.4202          |
| 1.4245        | 12.0  | 1440 | 1.4374          |
| 1.4527        | 13.0  | 1560 | 1.4145          |
| 1.4527        | 14.0  | 1680 | 1.4299          |
| 1.4527        | 15.0  | 1800 | 1.3918          |
| 1.4527        | 16.0  | 1920 | 1.4007          |
| 1.447         | 17.0  | 2040 | 1.4476          |
| 1.447         | 18.0  | 2160 | 1.3933          |
| 1.447         | 19.0  | 2280 | 1.4311          |
| 1.447         | 20.0  | 2400 | 1.3902          |


### Framework versions

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