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Qwen2.5-1.5B-Instruct-Code-LoRA-r16 – AI Model by bharati2324 | AlphaNeural AI
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Qwen2.5-1.5B-Instruct-Code-LoRA-r16
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peft
safetensors
trl
sft
generated_from_trainer
Qwen/Qwen2.5-1.5B-Instruct
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apache-2.0
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Qwen2.5-1.5B-Instruct-Code-LoRA-r16
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B-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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 2
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1
