whisper-small-fine_tuned-ru – AI Model by artyomboyko | AlphaNeural AI

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artyomboyko/
whisper-small-fine_tuned-ru

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_13_0

openai/whisper-small

endpoints_compatible

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whisper-small-fine_tuned-ru

This model is a fine-tuned version of openai/whisper-small on the Mozilla common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2290
Wer: 17.6336

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: 5e-07
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0286	0.22	500	0.2225	18.0199
0.0287	0.44	1000	0.2235	18.0455
0.0334	0.66	1500	0.2243	18.1956
0.0373	0.88	2000	0.2239	17.9803
0.0261	1.1	2500	0.2268	17.7674
0.0252	1.32	3000	0.2277	17.8221
0.0265	1.54	3500	0.2290	17.6336
0.0271	1.76	4000	0.2293	17.8279
0.0252	1.97	4500	0.2293	17.8744
0.023	2.19	5000	0.2298	17.8930

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3