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metadata
base_model: lukasdrg/clinical_longformer_same_tokens_3epochs_200k
tags:
  - generated_from_trainer
model-index:
  - name: clinical_longformer_same_tokens_3epochs_260k
    results: []

clinical_longformer_same_tokens_3epochs_260k

This model is a fine-tuned version of lukasdrg/clinical_longformer_same_tokens_3epochs_200k on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3136

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
1.5694 0.16 65 1.3390
1.5048 0.31 130 1.3318
1.5055 0.47 195 1.3332
1.5022 0.63 260 1.3198
1.5237 0.78 325 1.3125
1.4664 0.94 390 1.3136

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0