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virto
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mt_5_small_kook_gen_len_20

Transformers
PyTorch
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Community

mt_5_small_kook_gen_len_20

This model is a fine-tuned version of google/mt5-small on the NLP-MINI-PROJECT/rabbi_kook dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7678
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 47.7155

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

Training results

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.8.1+cu111
  • Datasets 2.9.0
  • Tokenizers 0.11.0
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Dataset used to train virto/mt_5_small_kook_gen_len_20

Evaluation results