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End of training
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metadata
base_model: lukasdrg/clinical_longformer_same_tokens_220k
tags:
  - generated_from_trainer
model-index:
  - name: clinical_longformer_same_tokens_240k
    results: []

clinical_longformer_same_tokens_240k

This model is a fine-tuned version of lukasdrg/clinical_longformer_same_tokens_220k on the None dataset.

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: 120
  • total_train_batch_size: 240
  • 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

Framework versions

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