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End of training
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metadata
base_model: SandriBarros/clinical_longformer_same_tokens_2epochs_150k
tags:
  - generated_from_trainer
model-index:
  - name: clinical_longformer_same_tokens_2epochs_200k
    results: []

clinical_longformer_same_tokens_2epochs_200k

This model is a fine-tuned version of SandriBarros/clinical_longformer_same_tokens_2epochs_150k on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4616

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
1.547 0.18 65 1.4788
1.6257 0.37 130 1.4790
1.5439 0.55 195 1.4934
1.6087 0.74 260 1.4691
1.6618 0.92 325 1.4616

Framework versions

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