beto-ner-prostata-bs16

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

• Loss: 0.0661
• F1: 0.9644
• Precision: 0.9617
• Recall: 0.9671

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall
No log	1.0	98	0.3147	0.7575	0.7172	0.8026
No log	2.0	196	0.0981	0.9285	0.9322	0.9249
No log	3.0	294	0.0610	0.9483	0.9471	0.9495
No log	4.0	392	0.0475	0.9622	0.9595	0.9650
No log	5.0	490	0.0497	0.9744	0.9741	0.9748
0.3529	6.0	588	0.0514	0.9728	0.9747	0.9709
0.3529	7.0	686	0.0471	0.9792	0.9818	0.9767
0.3529	8.0	784	0.0492	0.9802	0.9824	0.9780
0.3529	9.0	882	0.0482	0.9793	0.9799	0.9786
0.3529	10.0	980	0.0478	0.9802	0.9818	0.9786

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 5.0.0
• Tokenizers 0.22.2