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peft-starcoder-lora-a100 – AI Model by FRANKJO | AlphaNeural AI
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FRANKJO
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peft-starcoder-lora-a100
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
bigcode/starcoderbase-1b
bigcode-openrail-m
us
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peft-starcoder-lora-a100
This model is a fine-tuned version of
bigcode/starcoderbase-1b
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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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_steps: 30
training_steps: 40
Framework versions
PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
