clinical_longformer_same_tokens_1epochs_200k

This model is a fine-tuned version of camilon/clinical_longformer_same_tokens_1epochs_150k on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6335

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
1.7514	0.18	65	1.6651
1.8387	0.37	130	1.6634
1.7494	0.55	195	1.6776
1.823	0.74	260	1.6448
1.8833	0.92	325	1.6335

Framework versions

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