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sft_P3_lora-sft – AI Model by MaxwellJryao | AlphaNeural AI

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MaxwellJryao/
sft_P3_lora-sft

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Qwen/Qwen2-0.5B

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sft_P3_lora-sft

This model is a fine-tuned version of Qwen/Qwen2-0.5B on the None 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: 1.41e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 16
total_train_batch_size: 48
total_eval_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.43.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1