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--- |
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base_model: dccuchile/bert-base-spanish-wwm-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert_adaptation_referencias_de_vinos |
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results: [] |
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widget: |
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- text: "Este [MASK] argentino de altura es una verdadera" |
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example_title: Example 1 |
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- text: "Los sabores de [MASK] persisten" |
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example_title: Example 2 |
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- text: "Con un color profundo e [MASK]" |
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example_title: Example 3 |
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- text: "Hecho 100% de [MASK]" |
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example_title: Example 4 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert_adaptation_referencias_de_vinos |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2653 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.3123 | 1.0 | 375 | 2.7183 | |
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| 2.6604 | 2.0 | 750 | 2.4759 | |
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| 2.448 | 3.0 | 1125 | 2.4108 | |
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| 2.3606 | 4.0 | 1500 | 2.3783 | |
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| 2.2859 | 5.0 | 1875 | 2.2942 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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