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qwen2.5-7B-instruct-simpo – AI Model by lightblue | AlphaNeural AI
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qwen2.5-7B-instruct-simpo
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
zho
eng
fra
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jpn
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simpo_trained_1
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the lightblue_orpo_data 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: 1e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
