clinical_longformer_same_tokens_150k

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9999

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: 2
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 64
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1500
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.0953	0.31	65	2.0146
2.1237	0.62	130	2.0092
2.1057	0.92	195	1.9999

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1