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steja/
whisper-small-persian

Name: whisper-small-persian
Availability: InStock

transformers

pytorch

whisper

automatic-speech-recognition

whisper-event

generated_from_trainer

mozilla-foundation/common_voice_11_0

apache-2.0

model-index

endpoints_compatible

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Whisper small Persian

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 fa dataset. It achieves the following results on the evaluation set:

Loss: 0.4924
Wer: 32.8995

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-06
train_batch_size: 8
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5533	1.56	500	0.7044	54.5499
0.3951	3.12	1000	0.5893	47.5210
0.3296	4.67	1500	0.5429	42.6451
0.2662	6.23	2000	0.5223	40.6644
0.2535	7.79	2500	0.5045	38.5304
0.224	9.35	3000	0.5002	36.8822
0.2204	10.9	3500	0.4967	35.3076
0.2024	12.46	4000	0.4951	34.9883
0.2099	14.02	4500	0.4921	34.9842
0.1836	15.58	5000	0.4924	34.8995

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2

steja/whisper-small-persian

Whisper small Persian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

steja/
whisper-small-persian