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t5-small-finetuned-2024-03-24

This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-23 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0203
  • Rouge1: 34.1604
  • Rouge2: 20.5269
  • Rougel: 30.0414
  • Rougelsum: 30.5345
  • Gen Len: 18.9452

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: 4e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.1072 1.0 288 2.0203 34.1604 20.5269 30.0414 30.5345 18.9452

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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