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whisper-tiny-en-cv17 – AI Model by deepdml | AlphaNeural AI
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whisper-tiny-en-cv17
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tensorboard
safetensors
whisper
generated_from_trainer
automatic-speech-recognition
en
mozilla-foundation/common_voice_17_0
openai/whisper-tiny
finetune
apache-2.0
model-index
us
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Whisper Tiny en
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.6106
Wer: 25.8615
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: 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: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4769
1.0974
1000
0.6212
26.6080
0.346
3.0922
2000
0.6184
26.1229
0.3654
5.087
3000
0.6130
26.0782
0.2858
7.0818
4000
0.6196
26.2060
0.3308
9.0766
5000
0.6106
25.8615
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1