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DeepCoder_1.3_LoRA – AI Model by dugoalberto | AlphaNeural AI | AlphaNeural AI

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DeepCoder_1.3_LoRA

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deepseek-ai/deepseek-coder-1.3b-base

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DeepCoder_1.3_LoRA

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
training_steps: 60
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.2.dev0
Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1