Instructions to use amburger66/robometer-4b-lora-robotsmith-task03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amburger66/robometer-4b-lora-robotsmith-task03 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03") - Notebooks
- Google Colab
- Kaggle
LoRA fine-tune on RobotSmith task03 tool 12_long_2
Browse files- README.md +2 -2
- metrics.json +55 -7
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- trainer_state.json +0 -0
- training_args.bin +1 -1
README.md
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## Training Run
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- **Wandb Run**: [
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- **Wandb ID**: `
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- **Project**: rbm-finetune-robotsmith
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- **Notes**: fine-tuning Robometer on RobotSmith
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## Training Run
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- **Wandb Run**: [lora_task03_12_long_2](https://wandb.ai/r-pad/rbm-finetune-robotsmith/runs/c18gv1ii)
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- **Wandb ID**: `c18gv1ii`
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- **Project**: rbm-finetune-robotsmith
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- **Notes**: fine-tuning Robometer on RobotSmith
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metrics.json
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{
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"step":
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"metrics": {
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"eval_rew_align/
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"eval_rew_align/
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"eval_rew_align/
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"
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}
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}
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{
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"step": 1000,
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"metrics": {
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"eval_rew_align/success_auprc_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6195081082466317,
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"eval_rew_align/positive_success_acc_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_rew_align/negative_success_acc_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.952161913523459,
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"eval_rew_align/loss_amburger66_robotsmith_rbm_12_long_2_robotsmith": 3.8970178365707397,
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"eval_rew_align/pearson_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.980936971524903,
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"eval_p_rank/kendall_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/kendall_rewind_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/avg_succ_subopt_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/min_succ_subopt_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/max_succ_subopt_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/avg_subopt_fail_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/min_subopt_fail_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/max_subopt_fail_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/avg_succ_fail_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/min_succ_fail_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/max_succ_fail_diff_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/ranking_acc_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_all_pairs_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_failure_vs_suboptimal_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_suboptimal_vs_successful_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_failure_vs_successful_last_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/kendall_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/kendall_rewind_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/avg_succ_subopt_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/min_succ_subopt_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/max_succ_subopt_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/avg_subopt_fail_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/min_subopt_fail_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/max_subopt_fail_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/avg_succ_fail_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/min_succ_fail_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/max_succ_fail_diff_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/ranking_acc_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_all_pairs_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_failure_vs_suboptimal_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_suboptimal_vs_successful_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_failure_vs_successful_avg_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/kendall_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/kendall_rewind_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/avg_succ_subopt_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/min_succ_subopt_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/max_succ_subopt_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.22012983560562138,
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"eval_p_rank/avg_subopt_fail_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/min_subopt_fail_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/max_subopt_fail_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.6151127217337489,
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"eval_p_rank/avg_succ_fail_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/min_succ_fail_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/max_succ_fail_diff_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 0.8352425573393703,
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"eval_p_rank/ranking_acc_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_all_pairs_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_failure_vs_suboptimal_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_suboptimal_vs_successful_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"eval_p_rank/ranking_acc_failure_vs_successful_sum_amburger66_robotsmith_rbm_12_long_2_robotsmith": 1.0,
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"time/custom_evaluations": 42.60612651426345
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}
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}
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model-00001-of-00002.safetensors
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trainer_state.json
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training_args.bin
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