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whisper-tiny-ru – AI Model by MachineTrofimov | AlphaNeural AI
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whisper-tiny-ru
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ru
bond005/podlodka_speech
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny-ru
This model is a fine-tuned version of
openai/whisper-tiny
on the Podlodka Speech dataset. It achieves the following results on the evaluation set:
Loss: 1.2475
Wer: 83.7270
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: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40
training_steps: 200
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.9999
4.4444
40
1.2054
71.8285
0.4535
8.8889
80
1.1539
73.2283
0.2849
13.3333
120
1.1958
104.5494
0.1674
17.7778
160
1.2341
79.2651
0.1372
22.2222
200
1.2475
83.7270
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
