songhoy-asr-v1-ic / README.md
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metadata
library_name: peft
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
  - generated_from_trainer
  - multilingual
  - ASR
  - Open-Source
  - african-language
  - Songhoy
language:
  - hsn
  - fr
model-index:
  - name: songhoy-asr-v1
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: songhoy-asr
          type: custom
          split: test
          args:
            language: hsn
        metrics:
          - name: Test WER
            type: wer
            value: 16.58
          - name: Test CER
            type: cer
            value: 4.63
pipeline_tag: automatic-speech-recognition

songhoy-asr-v1-ic

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: 0.1897

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: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.3661 1.0 245 0.3118
0.2712 2.0 490 0.2215
0.2008 3.0 735 0.2011
0.1518 3.9857 976 0.1897

Framework versions

  • PEFT 0.14.1.dev0
  • Transformers 4.50.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0