whisper-tiny-id-test – AI Model by Gaffar-21 | AlphaNeural AI

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Gaffar-21/
whisper-tiny-id-test

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_11_0

openai/whisper-small

endpoints_compatible

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Whisper Small Id - Tiny - Test

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 1.2371
Wer: 58.2677

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: 8
seed: 42
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: 2
training_steps: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.8373	0.0625	1	1.6351	93.3071
1.7614	0.125	2	1.5526	90.9449
1.5333	0.1875	3	1.4336	59.4488
1.5874	0.25	4	1.3667	59.4488
1.4808	0.3125	5	1.3238	58.2677
1.5046	0.375	6	1.2933	56.6929
1.3783	0.4375	7	1.2704	57.4803
1.3692	0.5	8	1.2536	57.0866
1.3708	0.5625	9	1.2426	57.0866
1.3299	0.625	10	1.2371	58.2677

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3