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c_coder_llm – AI Model by vikrant-shanbhag | AlphaNeural AI
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c_coder_llm
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peft
tensorboard
safetensors
generated_from_trainer
Salesforce/codegen-350M-mono
adapter
bsd-3-clause
us
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c_coder_llm
This model is a fine-tuned version of
Salesforce/codegen-350M-mono
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
