sudoping01 / asr-bambara

huggingface.co
Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: February 23 2025

Introduction of asr-bambara

Model Details of asr-bambara

asr-bambara

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: 0.2985
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
1.646 1.0 1708 0.4390
1.4284 2.0 3416 0.3806
1.287 3.0 5124 0.3378
1.0537 4.0 6832 0.3140
0.7434 5.0 8540 0.2950
0.6049 5.9969 10242 0.2985
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

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https://choosealicense.com/licenses/apache-2.0

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sudoping01 asr-bambara online free url in huggingface.co:

https://huggingface.co/sudoping01/asr-bambara

asr-bambara install

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asr-bambara install url in huggingface.co:

https://huggingface.co/sudoping01/asr-bambara

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sudoping01
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