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t2t-gun-nlth-from-base-warmup

This model is a fine-tuned version of tiagoblima/t2t-gun-nlth-from-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 4.2714

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: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
5.5983 0.55 4000 5.4980
4.9836 1.1 8000 4.9345
4.6311 1.65 12000 4.5711
4.2902 2.2 16000 4.3787
4.1916 2.74 20000 4.2714

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.1
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