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cdli-granite-4-1b-en-atypical – AI Model by KasuleTrevor | AlphaNeural AI
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KasuleTrevor
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cdli-granite-4-1b-en-atypical
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transformers
safetensors
granite_speech
automatic-speech-recognition
generated_from_trainer
ibm-granite/granite-4.0-1b-speech
finetune
apache-2.0
endpoints_compatible
us
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cdli-granite-4-1b-en-atypical
This model is a fine-tuned version of
ibm-granite/granite-4.0-1b-speech
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 2
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.10.0+cu130
Datasets 3.6.0
Tokenizers 0.22.2
