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roscazo/
CTEBMSP_ner_test

Name: CTEBMSP_ner_test
Availability: InStock

generated_from_trainer

cc-by-4.0

autotrain_compatible

endpoints_compatible

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CTEBMSP_ner_test

This model is a fine-tuned version of chizhikchi/Spanish_disease_finder on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0560
Diso Precision: 0.8925
Diso Recall: 0.8945
Diso F1: 0.8935
Diso Number: 2645
Overall Precision: 0.8925
Overall Recall: 0.8945
Overall F1: 0.8935
Overall Accuracy: 0.9899

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: 4e-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	Diso Precision	Diso Recall	Diso F1	Diso Number	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.04	1.0	1570	0.0439	0.8410	0.8858	0.8628	2645	0.8410	0.8858	0.8628	0.9877
0.0173	2.0	3140	0.0487	0.8728	0.8843	0.8785	2645	0.8728	0.8843	0.8785	0.9885
0.0071	3.0	4710	0.0496	0.8911	0.8945	0.8928	2645	0.8911	0.8945	0.8928	0.9898
0.0025	4.0	6280	0.0560	0.8925	0.8945	0.8935	2645	0.8925	0.8945	0.8935	0.9899

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

roscazo/CTEBMSP_ner_test

CTEBMSP_ner_test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

roscazo/
CTEBMSP_ner_test