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LLM_Teached_Bart

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metadata
license: mit
base_model: facebook/bart-large-xsum
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: LLM_Teached_Bart
    results: []

LLM_Teached_Bart

This model is a fine-tuned version of facebook/bart-large-xsum on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7715
  • Rouge1: 0.4781
  • Rouge2: 0.2085
  • Rougel: 0.3718
  • Rougelsum: 0.372
  • Gen Len: 41.3245

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.6623 1.0 1250 1.6705 0.4681 0.2057 0.3632 0.3631 43.4718
1.2986 2.0 2500 1.6330 0.476 0.2105 0.3732 0.3737 39.9745
1.0401 3.0 3750 1.7081 0.4792 0.2134 0.3762 0.3763 40.6155
0.8853 4.0 5000 1.7715 0.4781 0.2085 0.3718 0.372 41.3245

Framework versions

  • Transformers 4.36.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.15.0