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ceescoder – AI Model by krytonguard | AlphaNeural AI
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ceescoder
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peft
safetensors
adapter
lora
transformers
text-generation
bigcode/starcoderbase-1b
bigcode-openrail-m
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ceescoder
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: 0.005
train_batch_size: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 9
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: 2000
Training results
Framework versions
PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.10.0
Datasets 4.6.1
Tokenizers 0.22.2
