Bui1dMySea/LongRAG-Qwen2.5-7B-Instruct

LongRAG_qwen2.5-7b-instruct

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

• Loss: 0.6247

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-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 12
• total_train_batch_size: 96
• 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
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.6217	1.0	27	0.5140
0.3082	2.0	54	0.5628
0.1499	3.0	81	0.6247

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.1+cu124
• Datasets 3.0.1
• Tokenizers 0.20.4