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aatituanav/
bert-spanish-cased-finetuned-ner-6ent

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bert-spanish-cased-finetuned-ner-6ent

This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased-finetuned-ner on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 15

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
2.0733	1.0	10	1.4826	0.0370	0.0256	0.0303	0.6026
1.2303	2.0	20	0.8760	0.3462	0.3077	0.3258	0.8129
0.7278	3.0	30	0.4741	0.6783	0.6667	0.6724	0.8910
0.4241	4.0	40	0.2800	0.8898	0.8974	0.8936	0.9277
0.2709	5.0	50	0.1849	0.9322	0.9402	0.9362	0.9587
0.1881	6.0	60	0.1355	0.9237	0.9316	0.9277	0.9755
0.1397	7.0	70	0.1064	0.9322	0.9402	0.9362	0.9813
0.1043	8.0	80	0.0879	0.9407	0.9487	0.9447	0.9897
0.0871	9.0	90	0.0773	0.9407	0.9487	0.9447	0.9903
0.0761	10.0	100	0.0720	0.9407	0.9487	0.9447	0.9916
0.0685	11.0	110	0.0667	0.9407	0.9487	0.9447	0.9916
0.0631	12.0	120	0.0637	0.9407	0.9487	0.9447	0.9916
0.0584	13.0	130	0.0617	0.9492	0.9573	0.9532	0.9923
0.0546	14.0	140	0.0607	0.9496	0.9658	0.9576	0.9929
0.0532	15.0	150	0.0604	0.9496	0.9658	0.9576	0.9929