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test-bycol – AI Model by yos95 | AlphaNeural AI
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yos95
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test-bycol
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
multilingual
apache-2.0
endpoints_compatible
us
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test-bycol
This model is a fine-tuned version of
openai/whisper-tiny
on the ok_bycol dataset.
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: 6.25e-06
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 800
training_steps: 1
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3