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whisper-tiny – AI Model by ckandemir | AlphaNeural AI
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ckandemir
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whisper-tiny
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny-Handy-Pretty - ckandemir
This model is a fine-tuned version of
openai/whisper-small
on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.5197
Wer Ortho: 31.6471
Wer: 0.3117
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: 5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 100
training_steps: 150
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.8427
1.32
50
0.5401
35.9655
0.3566
0.1982
2.63
100
0.5179
35.5336
0.3501
0.0531
3.95
150
0.5197
31.6471
0.3117
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3
