| license: apache-2.0 | |
| base_model: Qwen/Qwen3-VL-4B-Instruct | |
| tags: | |
| - robometer | |
| - reward-model | |
| - rbm | |
| - armnet | |
| library_name: transformers | |
| # Robometer-4B FFT finetuned on Armnet benchmark | |
| Full fine-tune (FFT, no LoRA) of [Robometer-4B](https://huggingface.co/robometer/Robometer-4B) on the Armnet benchmark (so101 + bimanual_so101), using Qwen3-VL-4B backbone. | |
| Trained for 1000 steps on 4x H200. | |
| ## Armnet benchmark results (training-time custom eval) | |
| - so101: reward-alignment Pearson 0.766, policy-ranking Kendall 0.973 | |
| - bimanual_so101: reward-alignment Pearson 0.873, policy-ranking Kendall 0.86 | |