transformers safetensors bert fill-mask generated_from_trainer base_model:dccuchile/bert-base-spanish-wwm-uncased autotrain_compatible endpoints_compatible region:us
---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
model-index:
- name: bert_adaptation_peppa_pig
  results: []
---

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# 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: 2.1707

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9413        | 1.0   | 35   | 3.4740          |
| 2.9472        | 2.0   | 70   | 2.7919          |
| 2.6305        | 3.0   | 105  | 2.4121          |
| 2.3964        | 4.0   | 140  | 2.4462          |
| 2.3435        | 5.0   | 175  | 2.5296          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
