whisper-small-dv – AI Model by avnishkanungo | AlphaNeural AI

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avnishkanungo/
whisper-small-dv

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automatic-speech-recognition

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openai/whisper-tiny

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openai/whisper-small-finetuned-gtzan

This model is a fine-tuned version of openai/whisper-tiny on the minds14 dataset. It achieves the following results on the evaluation set:

Loss: 0.7962
Wer Ortho: 0.2622
Wer: 0.2674

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: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0001	17.2414	500	0.6029	0.2548	0.2580
0.0	34.4828	1000	0.6568	0.2480	0.2532
0.0	51.7241	1500	0.6910	0.2498	0.2556
0.0	68.9655	2000	0.7173	0.2480	0.2538
0.0	86.2069	2500	0.7402	0.2486	0.2544
0.0	103.4483	3000	0.7624	0.2566	0.2621
0.0	120.6897	3500	0.7800	0.2640	0.2692
0.0	137.9310	4000	0.7962	0.2622	0.2674

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1