aconeil / w2v-bert-2.0-lmk_man_align_updated

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Total runs: 13
24-hour runs: 1
7-day runs: 8
30-day runs: 10
Model's Last Updated: November 20 2025
automatic-speech-recognition

Introduction of w2v-bert-2.0-lmk_man_align_updated

Model Details of w2v-bert-2.0-lmk_man_align_updated

w2v-bert-2.0-lmk_man_align_updated

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the audiofolder dataset.

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.52.2
  • Pytorch 2.8.0+cu128
  • Datasets 3.0.0
  • Tokenizers 0.21.0

Runs of aconeil w2v-bert-2.0-lmk_man_align_updated on huggingface.co

13
Total runs
1
24-hour runs
3
3-day runs
8
7-day runs
10
30-day runs

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