whisper-tiny-id-v2-new – AI Model by Dhanang12 | AlphaNeural AI

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Dhanang12/
whisper-tiny-id-v2-new

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automatic-speech-recognition

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openai/whisper-tiny

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whisper-tiny-id-v2-new

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7813
eval_wer: 36.7460
eval_runtime: 166.055
eval_samples_per_second: 4.137
eval_steps_per_second: 0.518
epoch: 15.4341
step: 2500

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training Results

Step	Training Loss	Validation Loss	WER
500	1.8105	0.7662	40.45
1000	0.5350	0.7074	35.96
1500	0.1668	0.7277	36.01
2000	0.0645	0.7588	36.04
2500	0.0332	0.7813	36.75

Best checkpoint: Step 1000 with WER 35.96%.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3000
mixed_precision_training: Native AMP

Framework versions

Transformers 5.0.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2