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my-custom-algo-coder – AI Model by yashshah0211 | AlphaNeural AI
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yashshah0211
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my-custom-algo-coder
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-Coder-0.5B
apache-2.0
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my-custom-algo-coder
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-0.5B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1362
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: 8
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: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2128
1.0
9
1.1657
1.0750
2.0
18
1.1424
1.1115
3.0
27
1.1362
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
