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flan-t5-xl_MeDistill_xl_28

This model is a fine-tuned version of google/flan-t5-xl on an unknown 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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 16
  • seed: 0
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 2
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 12000

Training results

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.0.1
  • Datasets 2.19.1
  • Tokenizers 0.15.2
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