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uf-qwen2-7IT-sft_bon – AI Model by nlee-208 | AlphaNeural AI

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nlee-208/
uf-qwen2-7IT-sft_bon

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nlee-208/Qwen2-7B-IT-SFT-bon

Qwen/Qwen2-7B-Instruct

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uf-qwen2-7IT-sft_bon

This model is a fine-tuned version of Qwen/Qwen2-7B-Instruct on the nlee-208/Qwen2-7B-IT-SFT-bon 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: 2e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1