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whisper-tiny.en-vox – AI Model by David-Mazi | AlphaNeural AI
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whisper-tiny.en-vox
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
David-Mazi/whisper-trial
openai/whisper-tiny.en
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny En Vox - David Mazi
This model is a fine-tuned version of
openai/whisper-tiny.en
on the whisper-trial dataset. It achieves the following results on the evaluation set:
Loss: 0.0019
Wer: 70.0633
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2694
4.0
100
0.1224
77.4886
0.0232
8.0
200
0.0165
69.1336
0.0035
12.0
300
0.0032
80.3548
0.0022
16.0
400
0.0021
68.5044
0.0019
20.0
500
0.0019
70.0633
Framework versions
Transformers 4.47.1
Pytorch 2.5.1
Datasets 3.2.0
Tokenizers 0.21.0