whisper_small_to_myst_pf – AI Model by rishabhjain16 | AlphaNeural AI

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whisper_small_to_myst_pf

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automatic-speech-recognition

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openai/whisper-small

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

Loss: 0.3551
Wer: 12.1862

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
0.2646	0.12	500	0.3028	13.1170
0.2146	1.11	1000	0.2739	13.9555
0.2173	2.1	1500	0.2741	11.9619
0.0458	3.09	2000	0.2948	11.2066
0.0705	4.07	2500	0.3167	12.3373
0.0868	5.06	3000	0.3281	11.9397
0.0164	6.05	3500	0.3605	11.8886
0.0236	7.03	4000	0.3551	12.1862

Framework versions

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