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dpo_model – AI Model by YangyuWu | AlphaNeural AI

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YangyuWu/
dpo_model

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text-generation

Qwen/Qwen2.5-7B-Instruct

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dpo_model

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct 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: 5e-07
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Framework versions

PEFT 0.19.1
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 4.8.4
Tokenizers 0.20.3