---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
model-index:
- name: bert_adaptation_peppa_pig
  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_peppa_pig

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: 2.1252

## 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: 11
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9988        | 1.0   | 35   | 3.3062          |
| 2.7629        | 2.0   | 70   | 2.5193          |
| 2.4343        | 3.0   | 105  | 2.2689          |
| 2.2476        | 4.0   | 140  | 2.2579          |
| 2.0597        | 5.0   | 175  | 2.0931          |
| 2.0213        | 6.0   | 210  | 2.2532          |
| 1.9664        | 7.0   | 245  | 2.2784          |
| 1.9355        | 8.0   | 280  | 1.9707          |
| 1.823         | 9.0   | 315  | 1.9029          |
| 1.8287        | 10.0  | 350  | 1.9168          |
| 1.7948        | 11.0  | 385  | 1.8101          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0