Qwen2.5-7B-Instruct-Final_selected_5k_cleaned_hermes_replaced

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Final_selected_5k_cleaned_hermes_replaced

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the Final_selected_5k_cleaned_hermes_replaced dataset. It achieves the following results on the evaluation set:

• Loss: 0.3389

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-06
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• total_eval_batch_size: 4
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 3

Training results

Framework versions

• Transformers 4.55.0
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.1