Instructions to use aliangdw/robometer-4b-fft-armnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliangdw/robometer-4b-fft-armnet with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("aliangdw/robometer-4b-fft-armnet") model = RBM.from_pretrained("aliangdw/robometer-4b-fft-armnet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "step": 1000, | |
| "metrics": { | |
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| "eval_rew_align/negative_success_acc_villekuosmanen_armnetbench_robometer_v01_so101": 0.9876984126984127, | |
| "eval_rew_align/loss_villekuosmanen_armnetbench_robometer_v01_so101": 1.8137086153030395, | |
| "eval_rew_align/pearson_villekuosmanen_armnetbench_robometer_v01_so101": 0.7661239143280704, | |
| "eval_p_rank/kendall_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.9733333333333334, | |
| "eval_p_rank/kendall_rewind_last_villekuosmanen_armnetbench_robometer_v01_so101": 1.0, | |
| "eval_p_rank/avg_succ_subopt_diff_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.2603318393230438, | |
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| "eval_p_rank/avg_subopt_fail_diff_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.34317512847483156, | |
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| "eval_p_rank/max_succ_fail_diff_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.7333046674728394, | |
| "eval_p_rank/ranking_acc_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.98, | |
| "eval_p_rank/ranking_acc_all_pairs_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.98, | |
| "eval_p_rank/ranking_acc_failure_vs_suboptimal_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.96, | |
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| "eval_p_rank/ranking_acc_all_pairs_sum_villekuosmanen_armnetbench_robometer_v01_bimanual_so101": 0.895, | |
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| "eval_p_rank/ranking_acc_suboptimal_vs_successful_sum_villekuosmanen_armnetbench_robometer_v01_bimanual_so101": 0.58, | |
| "time/custom_evaluations": 33.157642278354615 | |
| } | |
| } |