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whisper-small-dv-second – AI Model by Leo1212 | AlphaNeural AI
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whisper-small-dv-second
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
dv
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Dv - Sanchit Gandhi
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.1724
Wer Ortho: 0.6277
Wer: 0.1349
Cer: 0.0967
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: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
Cer
0.21
0.8143
250
0.2355
0.7345
0.1749
0.1235
0.1211
1.6287
500
0.1724
0.6277
0.1349
0.0967
Framework versions
Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.2
