sudoping01 / bambara-asr-v2

huggingface.co
Total runs: 113
24-hour runs: 4
7-day runs: 23
30-day runs: 93
Model's Last Updated: August 03 2025
automatic-speech-recognition

Introduction of bambara-asr-v2

Model Details of bambara-asr-v2

bambara-asr-v2

This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3517
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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Use 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: 50
  • num_epochs: 6
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
0.4865 1.0 1708 0.4902
0.4231 2.0 3416 0.4316
0.3838 3.0 5124 0.3964
0.3197 4.0 6832 0.3725
0.252 5.0 8540 0.3558
0.2209 5.9969 10242 0.3517
Framework versions
  • PEFT 0.14.1.dev0
  • Transformers 4.49.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of sudoping01 bambara-asr-v2 on huggingface.co

113
Total runs
4
24-hour runs
0
3-day runs
23
7-day runs
93
30-day runs

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bambara-asr-v2 install

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