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occitan whisper small ft
caebc78
metadata
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - google/fleurs
metrics:
  - wer
model-index:
  - name: Whisper_small_Occitan
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: google/fleurs
          type: google/fleurs
          config: oc_fr
          split: test
        metrics:
          - name: Wer
            type: wer
            value: 39.84848484848485

Whisper_small_Occitan

This model is a fine-tuned version of bofenghuang/whisper-small-cv11-french on the google/fleurs oc_fr dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1744
  • Wer: 39.8485

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: 8
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0087 30.77 400 1.1744 39.8485
0.001 61.54 800 1.2807 39.8939
0.0005 92.31 1200 1.3227 40.3447
0.0004 123.08 1600 1.3445 40.1098
0.0003 153.85 2000 1.3524 40.0492

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1
  • Tokenizers 0.13.2