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qwen2.5-7b-custom
QAdottech/qwen2.5-7b-custom
qwen2.5-7b-custom is a machine learning model from QAdottech. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a fine-tuned version of Qwen2.5-7B-Instruct optimized for agent tasks.
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At a glance
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Feb 25, 2025
- Updated
- Mar 5, 2025
- SHA
- ee112192
Model card
From the Hugging Face model README
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.
- Type
- qwen2_5_vl
- Created
- Feb 25, 2025
- Updated
- Mar 5, 2025