bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-v10

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

  • Loss: 2.5150
  • Accuracy: 0.6970

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

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 68 3.2639 0.7273
No log 2.0 136 3.3479 0.6970
No log 3.0 204 1.0812 0.8182
No log 4.0 272 3.1943 0.7576
No log 5.0 340 2.3106 0.7576
No log 6.0 408 2.7138 0.7576
No log 7.0 476 2.2989 0.7879
0.0578 8.0 544 2.6486 0.6970
0.0578 9.0 612 2.2460 0.7576
0.0578 10.0 680 2.5150 0.6970

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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