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---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-spanish-wwm-cased-2023-11-13-22-45
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. -->
# bert-base-spanish-wwm-cased-2023-11-13-22-45
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: 0.9028
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5609 | 0.59 | 500 | 1.4228 |
| 1.3889 | 1.19 | 1000 | 1.2819 |
| 1.2838 | 1.78 | 1500 | 1.1785 |
| 1.2015 | 2.38 | 2000 | 1.1307 |
| 1.1542 | 2.97 | 2500 | 1.0848 |
| 1.1251 | 3.56 | 3000 | 1.0549 |
| 1.0841 | 4.16 | 3500 | 1.0211 |
| 1.0549 | 4.75 | 4000 | 0.9953 |
| 1.049 | 5.34 | 4500 | 0.9839 |
| 0.9989 | 5.94 | 5000 | 0.9600 |
| 0.9805 | 6.53 | 5500 | 0.9512 |
| 0.9366 | 7.13 | 6000 | 0.9383 |
| 0.9645 | 7.72 | 6500 | 0.9214 |
| 0.9623 | 8.31 | 7000 | 0.9157 |
| 0.9237 | 8.91 | 7500 | 0.8967 |
| 0.9507 | 9.5 | 8000 | 0.9003 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
|