clasificador-anorexia-spanish

This model is a fine-tuned version of Recognai/bert-base-spanish-wwm-cased-xnli on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5353
• Accuracy: 0.7429

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	13	0.7172	0.5429
No log	2.0	26	0.5772	0.7429
No log	3.0	39	0.5353	0.7429

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3