whisper_medium_to_myst_pf_ot100 – AI Model by rishabhjain16 | AlphaNeural AI

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whisper_medium_to_myst_pf_ot100

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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: 0.3622
Wer: 10.6091

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
0.5314	0.12	500	0.2762	13.2758
0.1619	1.09	1000	0.2541	11.6909
0.069	2.05	1500	0.2768	10.2892
0.0756	3.02	2000	0.2756	11.6142
0.0324	3.14	2500	0.2961	11.1800
0.0171	4.11	3000	0.3322	11.1689
0.0046	5.07	3500	0.3653	10.5858
0.0091	6.03	4000	0.3622	10.6091

Framework versions

Transformers 4.29.0
Pytorch 1.14.0a0+44dac51
Datasets 2.12.0
Tokenizers 0.13.3