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whisper-small-hi – AI Model by Svetlana0303 | AlphaNeural AI
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Svetlana0303
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whisper-small-hi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
eng
Svetlana0303/my_eng_texts_6
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Eng - Three samples
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice MY dataset. It achieves the following results on the evaluation set:
Loss: 5.1836
Wer: 100.0
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
1000.0
1000
5.0117
100.0
0.0
2000.0
2000
5.0899
100.0
0.0
3000.0
3000
5.1823
100.0
0.0
4000.0
4000
5.1836
100.0
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
