whisper_small_to_pf10h – AI Model by rishabhjain16 | AlphaNeural AI

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whisper_small_to_pf10h

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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: 0.1815
Wer: 206.4766

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: 64
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
0.0065	10.0	500	0.1476	109.2459
0.0006	20.0	1000	0.1683	144.5619
0.0012	30.01	1500	0.1623	205.1738
0.0002	40.01	2000	0.1710	152.7209
0.0001	51.0	2500	0.1760	171.9869
0.0001	61.0	3000	0.1789	193.3447
0.0001	71.01	3500	0.1808	201.9206
0.0001	81.01	4000	0.1815	206.4766

Framework versions

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