idiotDeveloper/fineTuning

Whisper Small Korean

This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common_voice_16_1 hi dataset. It achieves the following results on the evaluation set:

• Loss: 0.4670
• Wer: 26.2957

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: 12
• eval_batch_size: 6
• 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: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2366	2.04	1000	0.4182	27.3008
0.0693	4.08	2000	0.4670	26.2957
0.0252	7.03	3000	0.5334	26.9174
0.0052	9.07	4000	0.6184	26.7869
0.0029	12.03	5000	0.6465	26.6853

Framework versions

• Transformers 4.39.0
• Pytorch 2.2.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2