---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
model-index:
- name: final-ft__bert-base-spanish-wwm-cased__70k-ultrasounds
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# final-ft__bert-base-spanish-wwm-cased__70k-ultrasounds

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5227

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 276  | 0.9156          |
| No log        | 2.0   | 552  | 0.7658          |
| No log        | 3.0   | 828  | 0.7083          |
| 0.9708        | 4.0   | 1104 | 0.6710          |
| 0.9708        | 5.0   | 1380 | 0.6380          |
| 0.9708        | 6.0   | 1656 | 0.6119          |
| 0.9708        | 7.0   | 1932 | 0.6025          |
| 0.6612        | 8.0   | 2208 | 0.5752          |
| 0.6612        | 9.0   | 2484 | 0.5708          |
| 0.6612        | 10.0  | 2760 | 0.5680          |
| 0.6612        | 11.0  | 3036 | 0.5425          |
| 0.6013        | 12.0  | 3312 | 0.5635          |
| 0.6013        | 13.0  | 3588 | 0.5386          |
| 0.6013        | 14.0  | 3864 | 0.5476          |
| 0.6013        | 15.0  | 4140 | 0.5458          |
| 0.5675        | 16.0  | 4416 | 0.5345          |
| 0.5675        | 17.0  | 4692 | 0.5350          |
| 0.5675        | 18.0  | 4968 | 0.5280          |
| 0.5675        | 19.0  | 5244 | 0.5260          |
| 0.5549        | 20.0  | 5520 | 0.5227          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1