Qwen2_5_7B_bfcl_lr8e6_ep3

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the sampled20new_fix2_fix2_toollist_remove_sys_Anyscale_no_tail_dropped dataset. It achieves the following results on the evaluation set:

• Loss: 0.6351

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: 8e-06
• train_batch_size: 1
• eval_batch_size: 1
• 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: cosine
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.0038	1.0	20	0.7327
0.5598	2.0	40	0.6486
0.5533	3.0	60	0.6351

Framework versions

• PEFT 0.17.0
• Transformers 4.55.2
• Pytorch 2.4.1+cu121
• Datasets 4.0.0
• Tokenizers 0.21.4