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starcoder15b-finetune-35steps – AI Model by Ruthvik2835 | AlphaNeural AI
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starcoder15b-finetune-35steps
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peft
tensorboard
safetensors
generated_from_trainer
bigcode/starcoder
adapter
bigcode-openrail-m
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starcoder-finetune
This model is a fine-tuned version of
bigcode/starcoder
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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 35
Training results
Framework versions
PEFT 0.15.2.dev0
Transformers 4.53.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
