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jem-whisper-lora-v1 – AI Model by ABE101 | AlphaNeural AI
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ABE101
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jem-whisper-lora-v1
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peft
safetensors
adapter
lora
transformers
ivrit-ai/yi-whisper-large-v3-turbo
apache-2.0
us
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jem-whisper-lora-v1
This model is a fine-tuned version of
ivrit-ai/yi-whisper-large-v3-turbo
on an unknown 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: 0.0001
train_batch_size: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: constant_with_warmup
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 20
num_epochs: 8
Training results
Framework versions
PEFT 0.19.1
Transformers 4.48.1
Pytorch 2.4.1+cu124
Datasets 3.6.0
Tokenizers 0.21.4
