whisper_medium_en_to_myst_pf – AI Model by rishabhjain16 | AlphaNeural AI

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whisper_medium_en_to_myst_pf

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automatic-speech-recognition

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openai/whisper-medium.en

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

Loss: 0.4522
Wer: 10.7946

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
0.2652	0.12	500	0.3042	11.2277
0.2102	1.11	1000	0.2824	10.9156
0.1913	2.1	1500	0.2924	11.2366
0.0249	3.09	2000	0.3386	10.6246
0.031	4.07	2500	0.3798	11.1400
0.0224	5.06	3000	0.4086	10.9767
0.0033	6.05	3500	0.4452	10.3392
0.0028	7.03	4000	0.4522	10.7946

Framework versions

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