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20231205_Bart-lg-samsum_TBD_Summ_Tr01

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

  • Loss: 1.0913

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: 1e-05
  • train_batch_size: 3
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 401 2.8537
5.39 2.0 802 0.8892
0.8114 3.0 1203 0.8283
0.5189 4.0 1604 0.8503
0.3804 5.0 2005 0.9076
0.3804 6.0 2406 0.9787
0.2618 7.0 2807 1.0719
0.2015 8.0 3208 1.0913

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.14.1
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