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---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
model-index:
- name: bert_adaptation_referencias_de_vinos
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_adaptation_referencias_de_vinos
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1276
## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3446 | 1.0 | 375 | 2.7051 |
| 2.6996 | 2.0 | 750 | 2.5966 |
| 2.4801 | 3.0 | 1125 | 2.4287 |
| 2.3533 | 4.0 | 1500 | 2.3303 |
| 2.2513 | 5.0 | 1875 | 2.2400 |
| 2.2163 | 6.0 | 2250 | 2.2903 |
| 2.1477 | 7.0 | 2625 | 2.1481 |
| 2.1131 | 8.0 | 3000 | 2.1569 |
| 2.056 | 9.0 | 3375 | 2.1977 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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