---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
model-index:
- name: bert_adaptation_martin_fierro
  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_adaptation_martin_fierro

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3589

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.7247        | 1.0   | 29   | 5.0114          |
| 4.7766        | 2.0   | 58   | 4.5598          |
| 4.3216        | 3.0   | 87   | 4.3656          |
| 4.0132        | 4.0   | 116  | 4.5464          |
| 3.8366        | 5.0   | 145  | 4.0157          |
| 3.7597        | 6.0   | 174  | 3.8641          |
| 3.6244        | 7.0   | 203  | 3.7634          |
| 3.6043        | 8.0   | 232  | 3.9174          |
| 3.4767        | 9.0   | 261  | 3.7874          |
| 3.2991        | 10.0  | 290  | 3.8620          |
| 3.3156        | 11.0  | 319  | 3.6171          |
| 3.1485        | 12.0  | 348  | 3.7967          |
| 3.0732        | 13.0  | 377  | 3.3494          |
| 3.0403        | 14.0  | 406  | 3.6496          |
| 2.9722        | 15.0  | 435  | 3.9632          |
| 2.9535        | 16.0  | 464  | 3.4333          |
| 2.9057        | 17.0  | 493  | 3.9740          |
| 2.724         | 18.0  | 522  | 3.8314          |
| 2.885         | 19.0  | 551  | 3.7820          |
| 2.861         | 20.0  | 580  | 3.6939          |
| 2.8194        | 21.0  | 609  | 3.9656          |
| 2.7182        | 22.0  | 638  | 3.8121          |
| 2.6446        | 23.0  | 667  | 3.8670          |
| 2.6841        | 24.0  | 696  | 3.6597          |
| 2.793         | 25.0  | 725  | 3.8053          |
| 2.7631        | 26.0  | 754  | 4.1065          |
| 2.5897        | 27.0  | 783  | 3.7100          |
| 2.6229        | 28.0  | 812  | 3.7801          |
| 2.6084        | 29.0  | 841  | 3.7222          |
| 2.634         | 30.0  | 870  | 3.6621          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3