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sibyl/BART-large-commongen

sourceHugging Facemitupdated 5y agoView on Hugging Face
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Model Card

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BART-large-commongen

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

  • —Loss: 1.1409
  • —Spice: 0.4009

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: 0.0001
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —training_steps: 6317

Training results

Training LossEpochStepValidation LossSpice
10.10860.051004.98040.3736
4.41680.092002.44020.4079
1.81580.143001.10960.4258
1.17230.194001.08450.4086
1.08940.245001.07270.423
1.09490.286001.08890.4224
1.07730.337001.09770.4201
1.07080.388001.11570.4213
1.06630.439001.17980.421
1.09850.4710001.16110.4025
1.05610.5211001.10480.421
1.05940.5712001.20440.3626
1.06890.6213001.14090.4009

Framework versions

  • —Transformers 4.9.2
  • —Pytorch 1.9.0+cu102
  • —Datasets 1.11.1.dev0
  • —Tokenizers 0.10.3