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This model is a fine-tuned version of pszemraj/long-t5-tglobal-base-16384-book-summary on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0187

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 700
  • num_epochs: 2
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Validation Loss
3.4444 0.64 400 3.2088
3.2848 1.28 800 3.0546
3.2422 1.92 1200 3.0187

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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