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trained-distilbart-abs-2607

Text2Text Generation
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bart
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trained-distilbart-abs-2607 / README.md
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metadata
license: apache-2.0
base_model: sshleifer/distilbart-xsum-12-6
tags:
  - generated_from_trainer
model-index:
  - name: trained-distilbart-abs-2607
    results: []

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trained-distilbart-abs-2607

This model is a fine-tuned version of sshleifer/distilbart-xsum-12-6 on the None dataset.

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • 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 Rouge/rouge1 Rouge/rouge2 Rouge/rougel Rouge/rougelsum Bertscore/bertscore-precision Bertscore/bertscore-recall Bertscore/bertscore-f1 Meteor Gen Len
No log 1.0 8 3.6502 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 80.0

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1