Cafet / w2v-bert-version-final

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Total runs: 14
24-hour runs: 0
7-day runs: 5
30-day runs: 7
Model's Last Updated: May 12 2024
automatic-speech-recognition

Introduction of w2v-bert-version-final

Model Details of w2v-bert-version-final

The following hyperparameters were used during training:

  • learning_rate: 5e-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
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 8
  • mixed_precision_training: Native AMP
Framework versions
  • Transformers 4.40.0
  • Pytorch 2.2.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of Cafet w2v-bert-version-final on huggingface.co

14
Total runs
0
24-hour runs
0
3-day runs
5
7-day runs
7
30-day runs

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w2v-bert-version-final huggingface.co is an AI model on huggingface.co that provides w2v-bert-version-final's model effect (), which can be used instantly with this Cafet w2v-bert-version-final model. huggingface.co supports a free trial of the w2v-bert-version-final model, and also provides paid use of the w2v-bert-version-final. Support call w2v-bert-version-final model through api, including Node.js, Python, http.

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w2v-bert-version-final install

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Updated:June 19 2024
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:June 19 2024