BARTModel_for_Ecommerce

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

  • Loss: 0.6511
  • Rouge1: 0.35
  • Rouge2: 0.2527
  • Rougel: 0.3229
  • Rougelsum: 0.323
  • Gen Len: 20.0

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 3.3125 0.2888 0.1482 0.2448 0.2454 20.0
No log 2.0 54 2.2699 0.2926 0.1667 0.2564 0.2574 20.0
No log 3.0 81 1.7686 0.3119 0.1908 0.2752 0.2753 20.0
No log 4.0 108 1.3882 0.324 0.2104 0.2937 0.2939 20.0
No log 5.0 135 1.1275 0.3151 0.2061 0.2871 0.2877 20.0
No log 6.0 162 0.9372 0.3293 0.2231 0.3017 0.3022 20.0
No log 7.0 189 0.8252 0.33 0.2182 0.2982 0.2988 20.0
No log 8.0 216 0.7575 0.3378 0.2317 0.3058 0.3065 20.0
No log 9.0 243 0.7102 0.3498 0.2418 0.3148 0.3149 20.0
No log 10.0 270 0.6890 0.3411 0.2374 0.3119 0.3126 20.0
No log 11.0 297 0.6760 0.3441 0.2394 0.3151 0.3155 20.0
No log 12.0 324 0.6640 0.3442 0.2417 0.3151 0.3152 20.0
No log 13.0 351 0.6520 0.3548 0.2506 0.3242 0.3246 20.0
No log 14.0 378 0.6519 0.3497 0.2506 0.3199 0.3201 20.0
No log 15.0 405 0.6511 0.35 0.2527 0.3229 0.323 20.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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