nubes_test – AI Model by roscazo | AlphaNeural AI

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roscazo/
nubes_test

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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nubes_test

This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1333
Precision: 0.8783
Recall: 0.9154
F1: 0.8965
Accuracy: 0.9717

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1266	1.0	1726	0.1112	0.8348	0.8856	0.8594	0.9676
0.0731	2.0	3452	0.1175	0.8766	0.9008	0.8885	0.9716
0.0443	3.0	5178	0.1218	0.8829	0.9076	0.8951	0.9717
0.0289	4.0	6904	0.1333	0.8783	0.9154	0.8965	0.9717

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2