whisper_medium_to_myst55h – AI Model by rishabhjain16 | AlphaNeural AI

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whisper_medium_to_myst55h

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automatic-speech-recognition

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openai/whisper-medium

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5021
Wer: 11.9280

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.3007	1.01	500	0.3027	12.4842
0.0962	2.02	1000	0.3147	11.9450
0.0409	3.03	1500	0.3528	12.9437
0.0298	4.04	2000	0.4015	11.7048
0.0114	5.06	2500	0.4310	12.3353
0.0034	6.07	3000	0.4666	11.6630
0.0014	7.08	3500	0.5117	11.7505
0.0016	8.09	4000	0.5021	11.9280

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.9.1.dev0
Tokenizers 0.13.2