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