AlienKevin / bert_base_cantonese_pos_hkcancor

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Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: -3
Model's Last Updated: August 07 2024

Introduction of bert_base_cantonese_pos_hkcancor

Model Details of bert_base_cantonese_pos_hkcancor

bert_base_cantonese_pos_hkcancor

This model is a fine-tuned version of indiejoseph/bert-base-cantonese on the hkcancor dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1293
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
Training results
Training Loss Epoch Step Validation Loss
0.1555 1.0 669 0.1348
0.1112 2.0 1338 0.1293
Framework versions
  • Transformers 4.43.3
  • Pytorch 2.4.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1

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2
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7-day runs
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bert_base_cantonese_pos_hkcancor is an open source model from GitHub that offers a free installation service, and any user can find bert_base_cantonese_pos_hkcancor on GitHub to install. At the same time, huggingface.co provides the effect of bert_base_cantonese_pos_hkcancor install, users can directly use bert_base_cantonese_pos_hkcancor installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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