finetuned_ClinicalLongformer_random_2575

This model is a fine-tuned version of yikuan8/Clinical-Longformer on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4830
• F1: 0.8696

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2712	1.0	76	0.2593	0.8276
0.1771	2.0	152	0.3276	0.8414
0.1416	3.0	228	0.3443	0.8148
0.1379	4.0	304	0.4728	0.8235
0.1325	5.0	380	0.4142	0.8392
0.0675	6.0	456	0.4355	0.8451
0.0762	7.0	532	0.5132	0.8392
0.1273	8.0	608	0.4816	0.8511
0.0988	9.0	684	0.4780	0.8485
0.0014	10.0	760	0.4683	0.8633
0.0415	11.0	836	0.4841	0.8633
0.0005	12.0	912	0.5619	0.8451
0.0006	13.0	988	0.4830	0.8696
0.0086	14.0	1064	0.5202	0.8511
0.0009	15.0	1140	0.5262	0.8451

Framework versions

• Transformers 4.48.0
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0