Clinical-Longformer-SurgicalCardiothoracic

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: 0.9943

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1515	1.1133
No log	2.0	3030	1.0476
No log	3.0	4545	1.0114
No log	4.0	6060	0.9958
No log	5.0	7575	0.9928

Framework versions

• Transformers 4.17.0
• Pytorch 1.8.0
• Datasets 2.2.2
• Tokenizers 0.11.6