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whisper-small-finetuned-iwslt-welsh-no-frozen-decoder – AI Model by jjnhuang | AlphaNeural AI
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jjnhuang
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whisper-small-finetuned-iwslt-welsh-no-frozen-decoder
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
covost2
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-finetuned-iwslt-welsh-no-frozen-decoder
This model is a fine-tuned version of
openai/whisper-small
on the covost2 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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 5000
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Framework versions
Transformers 4.52.0
Pytorch 2.12.1+cu130
Datasets 2.21.0
Tokenizers 0.21.4
