results – AI Model by sselimcalik | AlphaNeural AI

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automatic-speech-recognition

ar_text_converter

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openai/whisper-small

openai/whisper-small

endpoints_compatible

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whisper Small Ar - mvymodel

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

Loss: 0.0742

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: 3e-05
train_batch_size: 2
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.0638	1.0	2494	0.0655
0.0524	2.0	4988	0.0584
0.0373	3.0	7482	0.0564
0.0287	4.0	9976	0.0600
0.0136	5.0	12470	0.0646
0.0069	6.0	14964	0.0674
0.0031	7.0	17458	0.0700
0.0013	8.0	19952	0.0723
0.0005	9.0	22446	0.0736
0.0002	10.0	24940	0.0742

Framework versions

Transformers 4.32.0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2