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whisper-tiny-en – AI Model by thiagoms7 | AlphaNeural AI
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whisper-tiny-en
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
pt
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny en - thiagoms
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.7762
Wer Ortho: 0.3658
Wer: 0.3654
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0007
17.86
500
0.6431
0.3578
0.3548
0.0002
35.71
1000
0.7066
0.3664
0.3648
0.0001
53.57
1500
0.7466
0.3683
0.3672
0.0001
71.43
2000
0.7762
0.3658
0.3654
Framework versions
Transformers 4.31.0
Pytorch 2.0.0+cu117
Datasets 2.14.4
Tokenizers 0.13.3
