QAdottech/qwen2.5-7b-custom

Qwen2.5-7B Custom Model

This is a fine-tuned version of Qwen2.5-7B-Instruct optimized for agent tasks.

Dataset Information

• Train Dataset Size: 380 examples
• Test Dataset Size: 94 examples

Model Performance

• Test Accuracy: 0.8811
• Train Accuracy: 0.9912

Training Configuration

• Base Model: Qwen/Qwen2.5-VL-7B-Instruct
• Checkpoint: checkpoints_27feb/run_20250302_224224/checkpoint-5035
• Dataset: AgentEvalDatapointDataset
• Training Script: train_transformer.py
• DeepSpeed Config: deepspeed_config.json

The training configuration files are included in this model repository for reproducibility.