Shamik/distil-whisper-small-polyAI-minds14

Distil Whisper Small finetuned on PolyAI Minds14 English US.

This model is a fine-tuned version of distil-whisper/distil-small.en on the Speech Transcription in English from e-banking domain. dataset. It achieves the following results on the evaluation set:

• Loss: 1.0182
• Wer Ortho: 0.3371
• Wer: 0.3318

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 400
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.2325	3.57	100	0.6222	0.3557	0.3472
0.0196	7.14	200	0.8475	0.3757	0.3689
0.0014	10.71	300	0.9729	0.3630	0.3555
0.0006	14.29	400	1.0182	0.3371	0.3318

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0