ec_classfication_0502_emilyalsentzer_Bio_ClinicalBERT

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

• Loss: 1.4827
• F1: 0.7586

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	59	0.6180	0.5075
No log	2.0	118	0.5676	0.6154
No log	3.0	177	0.4982	0.8172
No log	4.0	236	0.8061	0.7826
No log	5.0	295	0.9337	0.7442
No log	6.0	354	1.0500	0.7778
No log	7.0	413	1.4362	0.6829
No log	8.0	472	1.2663	0.7556
0.1798	9.0	531	1.2302	0.8000
0.1798	10.0	590	1.5106	0.7442
0.1798	11.0	649	1.4128	0.7640
0.1798	12.0	708	1.3024	0.8000
0.1798	13.0	767	1.5237	0.7442
0.1798	14.0	826	1.4852	0.7586
0.1798	15.0	885	1.4827	0.7586

Framework versions

• Transformers 4.27.3
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.2