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whisper-small-en-common1 – AI Model by erenozaltun | AlphaNeural AI
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whisper-small-en-common1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
hi
mozilla-foundation/common_voice_1_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
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Whisper Small EN - erenozaltun-common1
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 1.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3868
Wer: 21.9771
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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1749
0.6588
500
0.3715
21.4957
0.0885
1.3175
1000
0.3665
21.5340
0.0905
1.9763
1500
0.3668
21.8322
0.0387
2.6350
2000
0.3868
21.9771
Framework versions
Transformers 4.42.3
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1
