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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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