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output – AI Model by jiangweicheng | AlphaNeural AI
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output
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-1.3b-instruct
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: 28
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 112
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: 100
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
