CTEBMSP_ner_test2

This model is a fine-tuned version of chizhikchi/Spanish_disease_finder on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0586
• Diso Precision: 0.8836
• Diso Recall: 0.8902
• Diso F1: 0.8869
• Diso Number: 4052
• Overall Precision: 0.8836
• Overall Recall: 0.8902
• Overall F1: 0.8869
• Overall Accuracy: 0.9885

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
0.0463	1.0	2566	0.0512	0.8791	0.8384	0.8583	4052	0.8791	0.8384	0.8583	0.9859
0.0204	2.0	5132	0.0615	0.8942	0.8655	0.8796	4052	0.8942	0.8655	0.8796	0.9875
0.0095	3.0	7698	0.0545	0.8877	0.8776	0.8826	4052	0.8877	0.8776	0.8826	0.9881
0.0045	4.0	10264	0.0586	0.8836	0.8902	0.8869	4052	0.8836	0.8902	0.8869	0.9885

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2