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whisper-base-ml-ru – AI Model by aangry-mouse | AlphaNeural AI
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ru
aangry-mouse/stepik_ml_ru
openai/whisper-base
finetune
model-index
endpoints_compatible
us
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Whisper Base Ml Ru
This model is a fine-tuned version of
openai/whisper-base
on the ML датасет dataset. It achieves the following results on the evaluation set:
Loss: 0.4705
Wer: 35.2729
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: 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: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6752
0.6649
250
0.6513
39.3404
0.4415
1.3298
500
0.5277
38.4923
0.4037
1.9947
750
0.4766
35.0766
0.2825
2.6596
1000
0.4705
35.2729
Framework versions
Transformers 4.41.0
Pytorch 2.0.1+cu118
Datasets 2.19.1
Tokenizers 0.19.1
