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T5Model_for_Ecommerce

This model is a fine-tuned version of Praveen76/FinetunedT5Model on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9149
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 0.0

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 27 4.1349 0.27 0.1438 0.2242 0.2247 19.0
No log 2.0 54 1.1710 0.0305 0.0174 0.0291 0.0289 2.1111
No log 3.0 81 1.0663 0.0 0.0 0.0 0.0 0.0
No log 4.0 108 1.0495 0.0 0.0 0.0 0.0 0.0
No log 5.0 135 1.0319 0.0 0.0 0.0 0.0 0.0
No log 6.0 162 1.0120 0.0 0.0 0.0 0.0 0.0
No log 7.0 189 0.9908 0.0 0.0 0.0 0.0 0.0
No log 8.0 216 0.9737 0.0 0.0 0.0 0.0 0.0
No log 9.0 243 0.9559 0.0 0.0 0.0 0.0 0.0
No log 10.0 270 0.9416 0.0 0.0 0.0 0.0 0.0
No log 11.0 297 0.9318 0.0 0.0 0.0 0.0 0.0
No log 12.0 324 0.9246 0.0 0.0 0.0 0.0 0.0
No log 13.0 351 0.9193 0.0 0.0 0.0 0.0 0.0
No log 14.0 378 0.9160 0.0 0.0 0.0 0.0 0.0
No log 15.0 405 0.9149 0.0 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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