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4320-whisper-small-eng-0.1train-3epoch – AI Model by JerryLearnCode | AlphaNeural AI
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4320-whisper-small-eng-0.1train-3epoch
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Finetune - IERG4320 Project
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: 0.3882
Wer Ortho: 19.0538
Wer: 15.3863
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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use OptimizerNames.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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.2577
0.9994
786
0.3589
18.3396
14.9067
0.1716
2.0
1573
0.3671
18.6104
14.9992
0.1058
2.9981
2358
0.3882
19.0538
15.3863
Framework versions
Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.4
