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SaulRB/
anon_model

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anon_model

This model is a fine-tuned version of mrm8488/bert-spanish-cased-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: 3e-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: 100

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	36	0.0370	0.7489	0.8258	0.7855
0.1057	2.0	72	0.0356	0.7878	0.8329	0.8097
0.0258	3.0	108	0.0321	0.7805	0.8234	0.8014
0.0258	4.0	144	0.0971	0.7687	0.8091	0.7884
0.0173	5.0	180	0.0295	0.7981	0.8210	0.8094
0.0104	6.0	216	0.0349	0.7724	0.8425	0.8059