clinical_longformer_new_tokens_v2

This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.8474

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.5192	1.42	2	4.9585
2.6002	2.84	4	4.5364
2.0541	4.0	6	5.1700
1.8191	5.0	8	4.7585
1.8123	6.0	10	4.3768
2.0364	7.11	12	4.8248
2.4587	8.53	14	4.9780
2.4665	9.96	16	4.2456
1.7881	11.0	18	4.1161
1.7651	12.0	20	4.8474

Framework versions

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