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test – AI Model by juri17 | AlphaNeural AI
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test
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
de
mozilla-foundation/common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny De
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4460
Wer: 34.3503
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: 3.75e-05
train_batch_size: 16
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: 100
training_steps: 7500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.369
0.33
2500
0.6042
63.0444
0.5022
0.67
5000
0.4967
34.7095
0.271
1.0
7500
0.4460
34.3503
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.6.dev0
Tokenizers 0.13.3
