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metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-base-ckb
    results: []

bart-base-ckb

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: 0.6353
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Cer: 4.7349
  • Gen Len: 13.2035

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: 5e-05
  • train_batch_size: 320
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Cer Gen Len Validation Loss Rouge1 Rouge2 Rougel Rougelsum
3.5765 0.11 500 10.3648 16.358 3.4338 0.0 0.0 0.0 0.0
3.1749 0.22 1000 10.955 15.828 3.0110 0.0 0.0 0.0 0.0
2.8696 0.33 1500 11.2579 15.358 2.6943 0.0 0.0 0.0 0.0
2.6279 0.43 2000 11.6734 14.8565 2.4300 0.0 0.0 0.0 0.0
2.4166 0.54 2500 11.028 14.523 2.2248 0.0 0.0 0.0 0.0
2.2444 0.65 3000 10.4379 14.4185 2.0490 0.0 0.0 0.0 0.0
2.0902 0.76 3500 10.0905 14.242 1.8756 0.0 0.0 0.0 0.0
1.9565 0.87 4000 9.7629 14.042 1.7377 0.0 0.0 0.0 0.0
1.8319 0.98 4500 9.4737 13.877 1.6244 0.0 0.0 0.0 0.0
1.7104 1.09 5000 9.153 13.825 1.5353 0.0 0.0 0.0 0.0
1.6148 1.2 5500 8.8125 13.726 1.4422 0.0 0.0 0.0 0.0
1.5459 1.3 6000 8.5589 13.681 1.3755 0.0 0.0 0.0 0.0
1.4837 1.41 6500 8.2717 13.6225 1.3035 0.0 0.0 0.0 0.0
1.4219 1.52 7000 8.0684 13.549 1.2407 0.0 0.0 0.0 0.0
1.3743 1.63 7500 7.7684 13.502 1.1865 0.0 0.0 0.0 0.0
1.3318 1.74 8000 7.5247 13.509 1.1503 0.0 0.0 0.0 0.0
1.2893 1.85 8500 7.3826 13.456 1.1085 0.0 0.0 0.0 0.0
1.2228 2.0 9198 1.0506 0.0 0.0 0.0 0.0 7.0411 13.3935
0.9343 3.0 13797 0.7769 0.0 0.0 0.0 0.0 5.5303 13.2935
0.7915 4.0 18396 0.6663 0.0 0.0 0.0 0.0 4.8928 13.209
0.7436 5.0 22995 0.6353 0.0 0.0 0.0 0.0 4.7349 13.2035

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3