---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
model-index:
- name: final-ft__bert-base-spanish-wwm-uncased__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-uncased__70k-ultrasounds

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co./dccuchile/bert-base-spanish-wwm-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5422

## 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        | 0.9990  | 254  | 0.9709          |
| No log        | 1.9980  | 508  | 0.8043          |
| No log        | 2.9971  | 762  | 0.7331          |
| 1.013         | 4.0     | 1017 | 0.6860          |
| 1.013         | 4.9990  | 1271 | 0.6597          |
| 1.013         | 5.9980  | 1525 | 0.6345          |
| 1.013         | 6.9971  | 1779 | 0.6280          |
| 0.6672        | 8.0     | 2034 | 0.5954          |
| 0.6672        | 8.9990  | 2288 | 0.5987          |
| 0.6672        | 9.9980  | 2542 | 0.5802          |
| 0.6672        | 10.9971 | 2796 | 0.5792          |
| 0.6055        | 12.0    | 3051 | 0.5632          |
| 0.6055        | 12.9990 | 3305 | 0.5713          |
| 0.6055        | 13.9980 | 3559 | 0.5545          |
| 0.6055        | 14.9971 | 3813 | 0.5434          |
| 0.5735        | 16.0    | 4068 | 0.5475          |
| 0.5735        | 16.9990 | 4322 | 0.5471          |
| 0.5735        | 17.9980 | 4576 | 0.5377          |
| 0.5735        | 18.9971 | 4830 | 0.5403          |
| 0.5574        | 19.9803 | 5080 | 0.5422          |


### Framework versions

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