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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
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