---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
model-index:
- name: finetuned__bert-base-spanish-wwm-cased__augmented-ultrasounds
  results: []
---

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# finetuned__bert-base-spanish-wwm-cased__augmented-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: 0.5757

## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- 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        | 0.9979  | 238  | 1.0145          |
| 1.2754        | 2.0     | 477  | 0.8811          |
| 1.2754        | 2.9979  | 715  | 0.7855          |
| 0.8342        | 4.0     | 954  | 0.7440          |
| 0.8342        | 4.9979  | 1192 | 0.7016          |
| 0.7436        | 6.0     | 1431 | 0.6743          |
| 0.7436        | 6.9979  | 1669 | 0.6591          |
| 0.6965        | 8.0     | 1908 | 0.6459          |
| 0.6965        | 8.9979  | 2146 | 0.6354          |
| 0.6619        | 10.0    | 2385 | 0.6243          |
| 0.6619        | 10.9979 | 2623 | 0.6177          |
| 0.6386        | 12.0    | 2862 | 0.6086          |
| 0.6386        | 12.9979 | 3100 | 0.6027          |
| 0.623         | 14.0    | 3339 | 0.5828          |
| 0.623         | 14.9979 | 3577 | 0.5869          |
| 0.6103        | 16.0    | 3816 | 0.5951          |
| 0.6103        | 16.9979 | 4054 | 0.5889          |
| 0.6032        | 18.0    | 4293 | 0.5870          |
| 0.6032        | 18.9979 | 4531 | 0.5818          |
| 0.5967        | 19.9581 | 4760 | 0.5757          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1