whisper_medium_to_myst_pf_ot50 – AI Model by rishabhjain16 | AlphaNeural AI

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whisper_medium_to_myst_pf_ot50

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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: 0.3853
Wer: 10.4258

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
0.2536	0.12	500	0.2608	11.8586
0.3687	1.1	1000	0.2578	11.4576
0.1522	2.07	1500	0.2613	12.7949
0.0387	3.05	2000	0.2952	10.9378
0.014	4.02	2500	0.3271	10.6813
0.0186	4.14	3000	0.3389	10.3970
0.0057	5.12	3500	0.3670	10.6380
0.0108	6.09	4000	0.3853	10.4258

Framework versions

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