README.md

metadata

base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
  - generated_from_trainer
model-index:
  - name: bert_adaptation_referencias_de_vinos
    results: []
widget:
  - text: Este [MASK] argentino de altura es una verdadera
    example_title: Example 1
  - text: Los sabores de [MASK] persisten
    example_title: Example 2
  - text: Con un color profundo e [MASK]
    example_title: Example 3
  - text: Hecho 100% de [MASK]
    example_title: Example 4

bert_adaptation_referencias_de_vinos

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2653

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
3.3123	1.0	375	2.7183
2.6604	2.0	750	2.4759
2.448	3.0	1125	2.4108
2.3606	4.0	1500	2.3783
2.2859	5.0	1875	2.2942

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3