ifc0nfig/whisper-small-hi-vyapar_v5_convin

Whisper Small Hi - Vyapar V5

This model is a fine-tuned version of openai/whisper-small on the Vyapar Calling Data 5 calls convin data dataset. It achieves the following results on the evaluation set:

• Loss: 2.2326
• Wer: 54.3222

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: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0262	27.7778	1000	1.9880	59.0373
0.0001	55.5556	2000	2.1718	54.6169
0.0001	83.3333	3000	2.2160	54.3222
0.0001	111.1111	4000	2.2326	54.3222

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu118
• Datasets 3.2.0
• Tokenizers 0.21.0