Upload combined SO-101 FFT checkpoint
Browse files- config.json +71 -0
- config.yaml +185 -0
- metrics.json +64 -0
- model.safetensors +3 -0
config.json
ADDED
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{
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"architectures": [
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"RBM"
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],
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"dtype": "bfloat16",
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"image_token_id": 151655,
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"model_name": "unsloth/Qwen3-VL-4B-Instruct",
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"model_type": "qwen3_vl",
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"pad_token_id": 151654,
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"text_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"max_position_embeddings": 262144,
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"model_type": "qwen3_vl_text",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"mrope_interleaved": true,
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"mrope_section": [
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24,
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20,
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20
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],
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"rope_theta": 5000000,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"use_cache": true,
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"vocab_size": 151674
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.3.0",
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"unsloth_fixed": true,
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"unsloth_version": "2026.3.11",
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"use_cache": false,
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"video_token_id": 151656,
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"vision_config": {
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"deepstack_visual_indexes": [
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5,
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11,
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17
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],
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"depth": 24,
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"dtype": "bfloat16",
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1024,
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"in_channels": 3,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"model_type": "qwen3_vl",
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"num_heads": 16,
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"num_position_embeddings": 2304,
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"out_hidden_size": 2560,
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"patch_size": 16,
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"spatial_merge_size": 2,
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"temporal_patch_size": 2
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},
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"vision_end_token_id": 151653,
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"vision_start_token_id": 151652
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}
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config.yaml
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custom_eval:
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comparisons_per_task: 5
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confusion_matrix:
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- rbm-1m-ood
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confusion_matrix_n_trajectories_per_source: 5
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custom_eval_random_seed: 42
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eval_types:
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- reward_alignment
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| 9 |
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- policy_ranking
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| 10 |
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max_comparisons: null
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| 11 |
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num_examples_per_quality_pr: 5
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num_partial_successes: 5
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| 13 |
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pad_frames: true
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| 14 |
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policy_ranking:
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| 15 |
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- villekuosmanen_armnetbench_robometer_v01_so101
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| 16 |
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policy_ranking_max_tasks: 100
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quality_preference:
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- rbm-1m-ood
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| 19 |
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reward_alignment:
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| 20 |
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- villekuosmanen_armnetbench_robometer_v01_so101
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| 21 |
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- ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101
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reward_alignment_max_trajectories: 10
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subsample_n_frames: null
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use_frame_steps: true
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data:
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data_source_weights: null
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dataloader_num_workers: 8
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dataloader_persistent_workers: true
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| 29 |
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dataloader_pin_memory: true
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| 30 |
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dataset_preference_ratio: 0.7
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dataset_success_cutoff_file: robometer/data/dataset_success_cutoff.txt
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| 32 |
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dataset_type: rbm
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eval_datasets:
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| 34 |
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- villekuosmanen_armnetbench_robometer_v01_so101
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| 35 |
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- ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101
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| 36 |
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eval_subset_size: null
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| 37 |
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load_embeddings: false
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| 38 |
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max_frames: 8
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| 39 |
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max_frames_after_preprocessing: 64
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max_success: 1.0
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| 41 |
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max_trajectories: -1
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min_frames_per_trajectory: 5
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min_success: 0.5
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partial_success_threshold: 0.2
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predict_last_frame_partial_progress: false
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preference_strategy_ratio:
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- 1.0
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- 1.0
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- 1.0
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- 1.0
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progress_discrete_bins: 10
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progress_loss_type: discrete
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| 53 |
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progress_pred_type: absolute_first_frame
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| 54 |
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progress_strategy_ratio:
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| 55 |
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- 1.0
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- 1.0
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| 57 |
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- 1.0
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- 1.0
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resized_height: null
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resized_width: null
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| 61 |
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sample_type_ratio:
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| 62 |
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- 1.0
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| 63 |
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- 0.0
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| 64 |
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- 0.0
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| 65 |
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seed: 42
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| 66 |
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shuffle: true
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| 67 |
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shuffle_progress_frames: false
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| 68 |
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train_datasets:
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| 69 |
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- villekuosmanen_armnetbench_robometer_v01_so101
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| 70 |
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- ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101
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| 71 |
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traj_same_source_prob: 0.5
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| 72 |
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use_multi_image: true
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| 73 |
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use_per_frame_progress_token: true
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| 74 |
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debug: false
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| 75 |
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logging:
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| 76 |
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log_level: INFO
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| 77 |
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log_to: []
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| 78 |
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save_best:
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| 79 |
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greater_is_better:
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| 80 |
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- true
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| 81 |
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- true
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| 82 |
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- true
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| 83 |
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hub_private: false
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| 84 |
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hub_save_every: 1000
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| 85 |
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hub_token: null
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| 86 |
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keep_top_k: 5
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| 87 |
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metric_names:
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| 88 |
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- eval_rew_align/pearson_villekuosmanen_armnetbench_robometer_v01_so101
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| 89 |
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- eval_p_rank/kendall_last_villekuosmanen_armnetbench_robometer_v01_so101
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| 90 |
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- eval_rew_align/pearson_ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101
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| 91 |
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save_every: 1000
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| 92 |
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upload_to_hub: false
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| 93 |
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save_model: true
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| 94 |
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save_processor: true
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| 95 |
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wandb_entity: jesbu1
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| 96 |
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wandb_mode: null
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| 97 |
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wandb_notes: training Robometer
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| 98 |
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wandb_project: robometer
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| 99 |
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loss:
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| 100 |
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predict_last_frame_progress: false
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| 101 |
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progress_discrete_bins: 10
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| 102 |
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progress_loss_type: discrete
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| 103 |
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success_positive_weight: 1.0
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| 104 |
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mode: train
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| 105 |
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model:
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| 106 |
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average_temporal_patches: true
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| 107 |
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base_model_id: Qwen/Qwen3-VL-4B-Instruct
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| 108 |
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frame_pooling: mean
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| 109 |
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frame_pooling_attn_temperature: 1.0
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| 110 |
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model_type: default
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| 111 |
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peft_vision_encoder: false
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| 112 |
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progress_discrete_bins: 10
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| 113 |
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progress_loss_type: discrete
|
| 114 |
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quantization: false
|
| 115 |
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rewind: null
|
| 116 |
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torch_dtype: bfloat16
|
| 117 |
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train_language_model: true
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| 118 |
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train_preference_head: true
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| 119 |
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train_progress_head: true
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| 120 |
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train_success_head: true
|
| 121 |
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train_vision_encoder: false
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| 122 |
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trust_remote_code: true
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| 123 |
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use_multi_image: true
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| 124 |
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use_peft: false
|
| 125 |
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use_per_frame_progress_token: true
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| 126 |
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use_unsloth: true
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| 127 |
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peft:
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| 128 |
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bias: none
|
| 129 |
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lora_alpha: 64
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| 130 |
+
lora_dropout: 0.05
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| 131 |
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peft_vision_encoder: false
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| 132 |
+
r: 32
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| 133 |
+
target_modules:
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| 134 |
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- q_proj
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| 135 |
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- k_proj
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| 136 |
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- v_proj
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| 137 |
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- o_proj
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| 138 |
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- gate_proj
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| 139 |
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- up_proj
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| 140 |
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- down_proj
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| 141 |
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trainer_cls: rbm_heads
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| 142 |
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training:
|
| 143 |
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beta: 0.1
|
| 144 |
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bf16: true
|
| 145 |
+
custom_eval_steps: 250
|
| 146 |
+
dataloader_num_workers: 8
|
| 147 |
+
dataloader_persistent_workers: true
|
| 148 |
+
dataloader_pin_memory: true
|
| 149 |
+
ddp_bucket_cap_mb: 25
|
| 150 |
+
ddp_find_unused_parameters: false
|
| 151 |
+
do_eval: true
|
| 152 |
+
eval_steps: 250
|
| 153 |
+
evaluation_strategy: steps
|
| 154 |
+
exp_name: rbm_fft_both_so101_qwen3_4b_16bs_4gpu
|
| 155 |
+
fp16: false
|
| 156 |
+
gradient_accumulation_steps: 1
|
| 157 |
+
gradient_checkpointing: true
|
| 158 |
+
learning_rate: 2.0e-05
|
| 159 |
+
load_from_checkpoint: robometer/Robometer-4B
|
| 160 |
+
logging_steps: 1
|
| 161 |
+
lr_scheduler_type: cosine
|
| 162 |
+
max_grad_norm: 10.0
|
| 163 |
+
max_seq_length: 1024
|
| 164 |
+
max_steps: 1500
|
| 165 |
+
num_gpus: 2
|
| 166 |
+
num_train_epochs: -1
|
| 167 |
+
optim: adamw_8bit
|
| 168 |
+
output_dir: ./logs
|
| 169 |
+
overwrite_output_dir: true
|
| 170 |
+
per_device_eval_batch_size: 16
|
| 171 |
+
per_device_train_batch_size: 16
|
| 172 |
+
predict_pref_progress: true
|
| 173 |
+
prediction_loss_only: true
|
| 174 |
+
remove_unused_columns: false
|
| 175 |
+
resume_from_checkpoint: null
|
| 176 |
+
run_default_eval: false
|
| 177 |
+
save_steps: 200
|
| 178 |
+
save_strategy: 'no'
|
| 179 |
+
torch_compile: false
|
| 180 |
+
torch_compile_backend: inductor
|
| 181 |
+
vision_encoder_lr: 1.0e-05
|
| 182 |
+
vision_encoder_num_layers: 3
|
| 183 |
+
warmup_ratio: 0.1
|
| 184 |
+
warmup_steps: 0
|
| 185 |
+
weight_decay: 0.01
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metrics.json
ADDED
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@@ -0,0 +1,64 @@
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|
| 1 |
+
{
|
| 2 |
+
"step": 750,
|
| 3 |
+
"metrics": {
|
| 4 |
+
"eval_rew_align/success_auprc_villekuosmanen_armnetbench_robometer_v01_so101": 0.6899881016045726,
|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"eval_p_rank/min_succ_fail_diff_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.25460606813430786,
|
| 19 |
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|
| 20 |
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"eval_p_rank/ranking_acc_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.9733333333333334,
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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"eval_p_rank/ranking_acc_failure_vs_suboptimal_last_villekuosmanen_armnetbench_robometer_v01_so101": 0.96,
|
| 25 |
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"eval_p_rank/kendall_avg_villekuosmanen_armnetbench_robometer_v01_so101": 0.94,
|
| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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"eval_p_rank/ranking_acc_failure_vs_suboptimal_avg_villekuosmanen_armnetbench_robometer_v01_so101": 0.96,
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| 41 |
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"eval_p_rank/kendall_sum_villekuosmanen_armnetbench_robometer_v01_so101": 0.94,
|
| 42 |
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|
| 43 |
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|
| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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"eval_p_rank/ranking_acc_suboptimal_vs_successful_sum_villekuosmanen_armnetbench_robometer_v01_so101": 0.98,
|
| 56 |
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"eval_p_rank/ranking_acc_failure_vs_suboptimal_sum_villekuosmanen_armnetbench_robometer_v01_so101": 0.96,
|
| 57 |
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"eval_rew_align/success_auprc_ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101": 0.3786145132198085,
|
| 58 |
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"eval_rew_align/positive_success_acc_ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101": 0.9,
|
| 59 |
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"eval_rew_align/negative_success_acc_ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101": 0.9583333333333334,
|
| 60 |
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"eval_rew_align/loss_ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101": 1.2838820934295654,
|
| 61 |
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"eval_rew_align/pearson_ykorkmaz_molmoact2_so100_101_rbm_molmoact2_so100_101": 0.9019924825489823,
|
| 62 |
+
"time/custom_evaluations": 41.701750837266445
|
| 63 |
+
}
|
| 64 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d5e3cb513d526e4da34041619a5967dab1e94523375d5430b9c370717bbcc82a
|
| 3 |
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size 8894099488
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