whisper-small-mn-7

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3061
• Wer: 32.6469
• Cer: 11.2319

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 15000
• mixed_precision_training: Native AMP

Training script

python train.py \
    --train_datasets "mozilla-foundation/common_voice_11_0|mn|train+validation,google/fleurs|mn_mn|train+validation,bayartsogt/ulaanbal-v0||train" \
    --eval_datasets "mozilla-foundation/common_voice_11_0|mn|test" \
    --whisper-size "small" \
    --language "mn,Mongolian" \
    --keep-chars " абвгдеёжзийклмноөпрстуүфхцчшъыьэюя.,?!" \
    --train-batch-size 32 \
    --eval-batch-size 32 \
    --max-steps 15000 \
    --num-workers 8 \
    --version 7 \

Training results

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2