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Browse files- checkpoint-30000/config.json +64 -0
- checkpoint-30000/experiment_cfg/metadata.json +447 -0
- checkpoint-30000/model-00001-of-00002.safetensors +3 -0
- checkpoint-30000/model-00002-of-00002.safetensors +3 -0
- checkpoint-30000/model.safetensors.index.json +0 -0
- checkpoint-30000/optimizer.pt +3 -0
- checkpoint-30000/rng_state_0.pth +3 -0
- checkpoint-30000/rng_state_1.pth +3 -0
- checkpoint-30000/rng_state_2.pth +3 -0
- checkpoint-30000/rng_state_3.pth +3 -0
- checkpoint-30000/rng_state_4.pth +3 -0
- checkpoint-30000/rng_state_5.pth +3 -0
- checkpoint-30000/rng_state_6.pth +3 -0
- checkpoint-30000/rng_state_7.pth +3 -0
- checkpoint-30000/scheduler.pt +3 -0
- checkpoint-30000/trainer_state.json +0 -0
- config.json +64 -0
- experiment_cfg/metadata.json +447 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +0 -0
- results.csv +2 -0
- results.md +29 -0
- total.metrics +230 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
checkpoint-30000/config.json
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{
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"action_dim": 32,
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"action_head_cfg": {
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"action_dim": 32,
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"action_horizon": 16,
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| 6 |
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"add_pos_embed": true,
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"backbone_embedding_dim": 2048,
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| 8 |
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"diffusion_model_cfg": {
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| 9 |
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"attention_head_dim": 48,
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| 10 |
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"cross_attention_dim": 2048,
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"dropout": 0.2,
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"final_dropout": true,
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"interleave_self_attention": true,
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"norm_type": "ada_norm",
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"num_attention_heads": 32,
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"num_layers": 16,
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"output_dim": 1024,
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"positional_embeddings": null
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},
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"hidden_size": 1024,
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| 21 |
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"input_embedding_dim": 1536,
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| 22 |
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"max_action_dim": 32,
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"max_state_dim": 64,
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"model_dtype": "float32",
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"noise_beta_alpha": 1.5,
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"noise_beta_beta": 1.0,
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"noise_s": 0.999,
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| 28 |
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"num_inference_timesteps": 4,
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| 29 |
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"num_target_vision_tokens": 32,
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| 30 |
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"num_timestep_buckets": 1000,
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"tune_diffusion_model": true,
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"tune_projector": true,
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| 33 |
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"use_vlln": true,
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| 34 |
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"vl_self_attention_cfg": {
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"attention_head_dim": 64,
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"dropout": 0.2,
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"final_dropout": true,
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"num_attention_heads": 32,
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"num_layers": 4,
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"positional_embeddings": null
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}
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},
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"action_horizon": 16,
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"architectures": [
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"GR00T_N1_5"
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],
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| 47 |
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"attn_implementation": null,
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| 48 |
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"backbone_cfg": {
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"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
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"load_bf16": false,
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"project_to_dim": null,
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"reproject_vision": false,
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"select_layer": 12,
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"tune_llm": false,
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"tune_visual": true,
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"use_flash_attention": true
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},
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"compute_dtype": "bfloat16",
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"hidden_size": 2048,
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"model_dtype": "float32",
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"model_type": "gr00t_n1_5",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.3"
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}
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checkpoint-30000/experiment_cfg/metadata.json
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| 1 |
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{
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| 2 |
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| 3 |
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checkpoint-30000/trainer_state.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
config.json
ADDED
|
@@ -0,0 +1,64 @@
|
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| 1 |
+
{
|
| 2 |
+
"action_dim": 32,
|
| 3 |
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"action_head_cfg": {
|
| 4 |
+
"action_dim": 32,
|
| 5 |
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"action_horizon": 16,
|
| 6 |
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"add_pos_embed": true,
|
| 7 |
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"backbone_embedding_dim": 2048,
|
| 8 |
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"diffusion_model_cfg": {
|
| 9 |
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"attention_head_dim": 48,
|
| 10 |
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"cross_attention_dim": 2048,
|
| 11 |
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"dropout": 0.2,
|
| 12 |
+
"final_dropout": true,
|
| 13 |
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"interleave_self_attention": true,
|
| 14 |
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"norm_type": "ada_norm",
|
| 15 |
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"num_attention_heads": 32,
|
| 16 |
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"num_layers": 16,
|
| 17 |
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"output_dim": 1024,
|
| 18 |
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"positional_embeddings": null
|
| 19 |
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},
|
| 20 |
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"hidden_size": 1024,
|
| 21 |
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"input_embedding_dim": 1536,
|
| 22 |
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"max_action_dim": 32,
|
| 23 |
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"max_state_dim": 64,
|
| 24 |
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"model_dtype": "float32",
|
| 25 |
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"noise_beta_alpha": 1.5,
|
| 26 |
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"noise_beta_beta": 1.0,
|
| 27 |
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"noise_s": 0.999,
|
| 28 |
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"num_inference_timesteps": 4,
|
| 29 |
+
"num_target_vision_tokens": 32,
|
| 30 |
+
"num_timestep_buckets": 1000,
|
| 31 |
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"tune_diffusion_model": true,
|
| 32 |
+
"tune_projector": true,
|
| 33 |
+
"use_vlln": true,
|
| 34 |
+
"vl_self_attention_cfg": {
|
| 35 |
+
"attention_head_dim": 64,
|
| 36 |
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"dropout": 0.2,
|
| 37 |
+
"final_dropout": true,
|
| 38 |
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"num_attention_heads": 32,
|
| 39 |
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"num_layers": 4,
|
| 40 |
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"positional_embeddings": null
|
| 41 |
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}
|
| 42 |
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},
|
| 43 |
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"action_horizon": 16,
|
| 44 |
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"architectures": [
|
| 45 |
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"GR00T_N1_5"
|
| 46 |
+
],
|
| 47 |
+
"attn_implementation": null,
|
| 48 |
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"backbone_cfg": {
|
| 49 |
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"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
| 50 |
+
"load_bf16": false,
|
| 51 |
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"project_to_dim": null,
|
| 52 |
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"reproject_vision": false,
|
| 53 |
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"select_layer": 12,
|
| 54 |
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"tune_llm": false,
|
| 55 |
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"tune_visual": true,
|
| 56 |
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"use_flash_attention": true
|
| 57 |
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},
|
| 58 |
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"compute_dtype": "bfloat16",
|
| 59 |
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"hidden_size": 2048,
|
| 60 |
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"model_dtype": "float32",
|
| 61 |
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"model_type": "gr00t_n1_5",
|
| 62 |
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"torch_dtype": "bfloat16",
|
| 63 |
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"transformers_version": "4.51.3"
|
| 64 |
+
}
|
experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,447 @@
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| 1 |
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coke_can/matching_avg,coke_can/variant_avg,coke_can/matching/horizontal,coke_can/matching/vertical,coke_can/matching/standing,coke_can/variant/horizontal,coke_can/variant/vertical,coke_can/variant/standing,move_near/variant,move_near/matching,drawer/matching_avg,drawer/variant_avg,drawer/matching/open,drawer/matching/close,drawer/variant/open,drawer/variant/close,put_spoon_on_tablecloth/matching_partial,put_spoon_on_tablecloth/matching_entire,put_carrot_on_plate/matching_partial,put_carrot_on_plate/matching_entire,stack_green_block_on_yellow_block/matching_partial,stack_green_block_on_yellow_block/matching_entire,put_eggplant_in_basket/matching_partial,put_eggplant_in_basket/matching_entire,apple_in_drawer/matching_avg,apple_in_drawer/variant_avg,ckpt_name
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0.517,0.636,0.470,0.130,0.950,0.711,0.324,0.871,0.510,0.540,0.278,0.132,0.269,0.287,0.085,0.180,,,,,,,,,0.074,0.023,fractal_60K0
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| 1 |
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| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|
| 2 |
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|:---------------------------------------------------|:---------------------|:----------------|:----------|:-------|:-------|:----------|:-----------|:------------|:--------|:--------|
|
| 3 |
+
| coke_can/matching_avg | 0.5166666666666666 | 0.857 | 0.71 | 0.567 | 0.787 | 0.17 | nan | 0.027 | 0.163 | 0.727 |
|
| 4 |
+
| coke_can/variant_avg | 0.6355555555555555 | 0.898 | 0.813 | 0.49 | 0.823 | 0.006 | nan | 0.022 | 0.545 | nan |
|
| 5 |
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| coke_can/matching/horizontal | 0.47 | 0.96 | 0.86 | 0.82 | 0.74 | 0.21 | nan | 0.05 | 0.27 | 0.85 |
|
| 6 |
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| coke_can/matching/vertical | 0.13 | 0.9 | 0.79 | 0.33 | 0.74 | 0.21 | nan | 0.0 | 0.03 | 0.43 |
|
| 7 |
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| coke_can/matching/standing | 0.95 | 0.71 | 0.48 | 0.55 | 0.88 | 0.09 | nan | 0.03 | 0.19 | 0.9 |
|
| 8 |
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| coke_can/variant/horizontal | 0.7111111111111111 | 0.969 | 0.92 | 0.569 | 0.822 | 0.005 | nan | 0.022 | 0.711 | nan |
|
| 9 |
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| coke_can/variant/vertical | 0.3244444444444444 | 0.76 | 0.704 | 0.204 | 0.754 | 0.0 | nan | 0.013 | 0.271 | nan |
|
| 10 |
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| coke_can/variant/standing | 0.8711111111111111 | 0.964 | 0.813 | 0.698 | 0.893 | 0.013 | nan | 0.031 | 0.653 | nan |
|
| 11 |
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| move_near/variant | 0.51 | 0.5 | 0.446 | 0.323 | 0.792 | 0.031 | nan | 0.04 | 0.477 | nan |
|
| 12 |
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| move_near/matching | 0.54 | 0.442 | 0.354 | 0.317 | 0.779 | 0.042 | nan | 0.05 | 0.462 | 0.663 |
|
| 13 |
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| drawer/matching_avg | 0.2777777777777778 | 0.73 | 0.565 | 0.597 | 0.25 | 0.227 | nan | 0.139 | 0.356 | 0.268 |
|
| 14 |
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| drawer/variant_avg | 0.13227513227513227 | 0.323 | 0.267 | 0.294 | 0.353 | 0.011 | nan | 0.069 | 0.177 | nan |
|
| 15 |
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| drawer/matching/open | 0.26851851851851855 | 0.601 | 0.463 | 0.296 | 0.157 | 0.009 | nan | 0.0 | 0.194 | 0.287 |
|
| 16 |
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| drawer/matching/close | 0.28703703703703703 | 0.861 | 0.667 | 0.891 | 0.343 | 0.444 | nan | 0.278 | 0.518 | 0.25 |
|
| 17 |
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| drawer/variant/open | 0.08465608465608465 | 0.27 | 0.212 | 0.069 | 0.333 | 0.0 | nan | 0.005 | 0.158 | nan |
|
| 18 |
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| drawer/variant/close | 0.1798941798941799 | 0.376 | 0.323 | 0.519 | 0.372 | 0.021 | nan | 0.132 | 0.195 | nan |
|
| 19 |
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| put_spoon_on_tablecloth/matching_partial | nan | nan | nan | 0.167 | nan | 0.347 | 0.778 | nan | 0.041 | 0.375 |
|
| 20 |
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| put_spoon_on_tablecloth/matching_entire | nan | nan | nan | 0.0 | nan | 0.125 | 0.472 | nan | 0.0 | 0.208 |
|
| 21 |
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| put_carrot_on_plate/matching_partial | nan | nan | nan | 0.208 | nan | 0.528 | 0.278 | nan | 0.333 | 0.333 |
|
| 22 |
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| put_carrot_on_plate/matching_entire | nan | nan | nan | 0.042 | nan | 0.083 | 0.097 | nan | 0.0 | 0.25 |
|
| 23 |
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| stack_green_block_on_yellow_block/matching_partial | nan | nan | nan | 0.083 | nan | 0.319 | 0.403 | nan | 0.125 | 0.083 |
|
| 24 |
+
| stack_green_block_on_yellow_block/matching_entire | nan | nan | nan | 0.0 | nan | 0.0 | 0.042 | nan | 0.0 | 0.083 |
|
| 25 |
+
| put_eggplant_in_basket/matching_partial | nan | nan | nan | 0.0 | nan | 0.667 | 0.875 | nan | 0.083 | 0.0 |
|
| 26 |
+
| put_eggplant_in_basket/matching_entire | nan | nan | nan | 0.0 | nan | 0.431 | 0.569 | nan | 0.041 | 0.0 |
|
| 27 |
+
| apple_in_drawer/matching_avg | 0.07407407407407407 | 0.065 | 0.13 | 0.213 | 0.037 | 0.0 | 0.0 | 0.0 | nan | 0.361 |
|
| 28 |
+
| apple_in_drawer/variant_avg | 0.022857142857142857 | 0.026 | 0.021 | 0.101 | 0.206 | 0.0 | 0.0 | 0.0 | nan | nan |
|
| 29 |
+
| ckpt_name | ours | RT-1(Converged) | RT-1(15%) | RT-1-X | RT-2-X | Octo-Base | Octo-Small | RT-1(begin) | OpenVLA | RoboVLM |
|
total.metrics
ADDED
|
@@ -0,0 +1,230 @@
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|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
***Pick coke can results***
|
| 2 |
+
--------------------
|
| 3 |
+
horizontal sim variant avg success {'ours': 0.7111111111111111}
|
| 4 |
+
horizontal real success {'ours': 0.0}
|
| 5 |
+
horizontal MMRV 0.0
|
| 6 |
+
horizontal pearson correlation 1
|
| 7 |
+
vertical sim variant avg success {'ours': 0.3244444444444444}
|
| 8 |
+
vertical real success {'ours': 0.0}
|
| 9 |
+
vertical MMRV 0.0
|
| 10 |
+
vertical pearson correlation 1
|
| 11 |
+
standing sim variant avg success {'ours': 0.8711111111111111}
|
| 12 |
+
standing real success {'ours': 0.0}
|
| 13 |
+
standing MMRV 0.0
|
| 14 |
+
standing pearson correlation 1
|
| 15 |
+
avg_orientation_sim_variant_results [0.6355555555555555]
|
| 16 |
+
avg_orientation_real_results [0.0]
|
| 17 |
+
mean_maximum_rank_violation(avg_orientation_sim_variant_results, avg_orientation_real_results) 0.0
|
| 18 |
+
pearson_correlation(avg_orientation_sim_variant_results, avg_orientation_real_results) 1
|
| 19 |
+
--------------------
|
| 20 |
+
Orientation horizontal, ckpt ours all robot arm visual matching success: [0.52, 0.44, 0.4, 0.52]
|
| 21 |
+
Orientation vertical, ckpt ours all robot arm visual matching success: [0.12, 0.16, 0.16, 0.08]
|
| 22 |
+
Orientation standing, ckpt ours all robot arm visual matching success: [0.96, 0.96, 0.96, 0.92]
|
| 23 |
+
horizontal visual matching sim success {'ours': 0.47}
|
| 24 |
+
horizontal real success {'ours': 0.0}
|
| 25 |
+
horizontal MMRV 0.0
|
| 26 |
+
horizontal pearson correlation 1
|
| 27 |
+
horizontal kruskal:
|
| 28 |
+
each checkpoint kruskal:
|
| 29 |
+
KruskalResult(statistic=15.473684210526313, pvalue=8.36619614588189e-05)
|
| 30 |
+
vertical visual matching sim success {'ours': 0.13}
|
| 31 |
+
vertical real success {'ours': 0.0}
|
| 32 |
+
vertical MMRV 0.0
|
| 33 |
+
vertical pearson correlation 1
|
| 34 |
+
vertical kruskal:
|
| 35 |
+
each checkpoint kruskal:
|
| 36 |
+
KruskalResult(statistic=3.1276595744679274, pvalue=0.07697417298127443)
|
| 37 |
+
standing visual matching sim success {'ours': 0.95}
|
| 38 |
+
standing real success {'ours': 0.0}
|
| 39 |
+
standing MMRV 0.0
|
| 40 |
+
standing pearson correlation 1
|
| 41 |
+
standing kruskal:
|
| 42 |
+
each checkpoint kruskal:
|
| 43 |
+
KruskalResult(statistic=45.23076923076922, pvalue=1.7513181713489203e-11)
|
| 44 |
+
avg_orientation_sim_visual_matching_results [0.5166666666666666]
|
| 45 |
+
avg_orientation_real_results [0.0]
|
| 46 |
+
mean_maximum_rank_violation(avg_orientation_sim_visual_matching_results, avg_orientation_real_results) 0.0
|
| 47 |
+
pearson_correlation(avg_orientation_sim_visual_matching_results, avg_orientation_real_results) 1
|
| 48 |
+
avg kruskal:
|
| 49 |
+
each checkpoint kruskal:
|
| 50 |
+
KruskalResult(statistic=52.35135135135139, pvalue=4.640791164425619e-13)
|
| 51 |
+
********************
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
***Move Near results***
|
| 56 |
+
--------------------
|
| 57 |
+
sim variant avg success {'ours': 0.51}
|
| 58 |
+
real success {'ours': 0.0}
|
| 59 |
+
MMRV 0.0
|
| 60 |
+
pearson correlation 1
|
| 61 |
+
--------------------
|
| 62 |
+
Ckpt ours all robot arm visual matching success: [0.48, 0.52, 0.52, 0.64]
|
| 63 |
+
sim visual matching success {'ours': 0.54}
|
| 64 |
+
real success {'ours': 0.0}
|
| 65 |
+
visual matching MMRV 0.0
|
| 66 |
+
visual matching pearson correlation 1
|
| 67 |
+
avg kruskal:
|
| 68 |
+
each checkpoint kruskal:
|
| 69 |
+
KruskalResult(statistic=43.27272727272723, pvalue=4.76174527067639e-11)
|
| 70 |
+
********************
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
***Drawer results***
|
| 75 |
+
--------------------
|
| 76 |
+
open sim variant avg success {'ours': 0.08465608465608465}
|
| 77 |
+
open real success {'ours': 0.0}
|
| 78 |
+
open MMRV 0.0
|
| 79 |
+
open pearson correlation 1
|
| 80 |
+
close sim variant avg success {'ours': 0.1798941798941799}
|
| 81 |
+
close real success {'ours': 0.0}
|
| 82 |
+
close MMRV 0.0
|
| 83 |
+
close pearson correlation 1
|
| 84 |
+
avg_sim_variant_results [0.13227513227513227]
|
| 85 |
+
avg_real_results [0.0]
|
| 86 |
+
mean_maximum_rank_violation(avg_sim_variant_results, avg_real_results) 0.0
|
| 87 |
+
pearson_correlation(avg_sim_variant_results, avg_real_results) 1
|
| 88 |
+
--------------------
|
| 89 |
+
Drawer task open, ckpt ours all robot arm visual matching success: [0.25, 0.25, 0.3055555555555555, 0.25925925925925924]
|
| 90 |
+
Drawer task close, ckpt ours all robot arm visual matching success: [0.2777777777777778, 0.3055555555555556, 0.2777777777777778, 0.25925925925925924]
|
| 91 |
+
open visual matching sim success {'ours': 0.26851851851851855}
|
| 92 |
+
open real success {'ours': 0.0}
|
| 93 |
+
open MMRV 0.0
|
| 94 |
+
open pearson correlation 1
|
| 95 |
+
open kruskal:
|
| 96 |
+
each checkpoint kruskal:
|
| 97 |
+
KruskalResult(statistic=7.8936170212766354, pvalue=0.004960955562494715)
|
| 98 |
+
close visual matching sim success {'ours': 0.28703703703703703}
|
| 99 |
+
close real success {'ours': 0.0}
|
| 100 |
+
close MMRV 0.0
|
| 101 |
+
close pearson correlation 1
|
| 102 |
+
close kruskal:
|
| 103 |
+
each checkpoint kruskal:
|
| 104 |
+
KruskalResult(statistic=9.217391304347847, pvalue=0.0023972688480227177)
|
| 105 |
+
avg_sim_visual_matching_results [0.2777777777777778]
|
| 106 |
+
avg_real_results [0.0]
|
| 107 |
+
mean_maximum_rank_violation(avg_sim_visual_matching_results, avg_real_results) 0.0
|
| 108 |
+
pearson_correlation(avg_sim_visual_matching_results, avg_real_results) 1
|
| 109 |
+
avg kruskal:
|
| 110 |
+
each checkpoint kruskal:
|
| 111 |
+
KruskalResult(statistic=17.258064516129142, pvalue=3.263095871941237e-05)
|
| 112 |
+
********************
|
| 113 |
+
|
| 114 |
+
|
| 115 |
+
|
| 116 |
+
***Drawer results***
|
| 117 |
+
--------------------
|
| 118 |
+
put_apple_into_top_drawer sim variant avg success {'ours': 0.022857142857142857}
|
| 119 |
+
put_apple_into_top_drawer real success {'ours': 0.0}
|
| 120 |
+
put_apple_into_top_drawer MMRV 0.0
|
| 121 |
+
put_apple_into_top_drawer pearson correlation 1
|
| 122 |
+
avg_sim_variant_results [0.022857142857142857]
|
| 123 |
+
avg_real_results [0.0]
|
| 124 |
+
mean_maximum_rank_violation(avg_sim_variant_results, avg_real_results) 0.0
|
| 125 |
+
pearson_correlation(avg_sim_variant_results, avg_real_results) 1
|
| 126 |
+
--------------------
|
| 127 |
+
Drawer task put_apple_into_top_drawer, ckpt ours all robot arm visual matching success: [0.07407407407407407, 0.04938271604938271, 0.037037037037037035, 0.0]
|
| 128 |
+
put_apple_into_top_drawer visual matching sim success {'ours': 0.07407407407407407}
|
| 129 |
+
put_apple_into_top_drawer real success {'ours': 0.0}
|
| 130 |
+
put_apple_into_top_drawer MMRV 0.0
|
| 131 |
+
put_apple_into_top_drawer pearson correlation 1
|
| 132 |
+
put_apple_into_top_drawer kruskal:
|
| 133 |
+
each checkpoint kruskal:
|
| 134 |
+
KruskalResult(statistic=2.038461538461544, pvalue=0.15336468852414337)
|
| 135 |
+
avg_sim_visual_matching_results [0.07407407407407407]
|
| 136 |
+
avg_real_results [0.0]
|
| 137 |
+
mean_maximum_rank_violation(avg_sim_visual_matching_results, avg_real_results) 0.0
|
| 138 |
+
pearson_correlation(avg_sim_visual_matching_results, avg_real_results) 1
|
| 139 |
+
avg kruskal:
|
| 140 |
+
each checkpoint kruskal:
|
| 141 |
+
KruskalResult(statistic=2.038461538461544, pvalue=0.15336468852414337)
|
| 142 |
+
********************
|
| 143 |
+
|
| 144 |
+
|
| 145 |
+
|
| 146 |
+
***Bridge Put On Env results***
|
| 147 |
+
********** Results for put_spoon_on_tablecloth **********
|
| 148 |
+
WARNING: avg_sim_success is nan for results/fractal_60K0/bridge_table_1_v1/arm_pd_ee_target_delta_pose_align2_gripper_pd_joint_pos/PutSpoonOnTableClothInScene-v0
|
| 149 |
+
sim visual matching partial success {'ours': nan}
|
| 150 |
+
real partial success {'ours': 0.0}
|
| 151 |
+
visual matching MMRV (partial success) 0.0
|
| 152 |
+
visual matching pearson correlation (partial success) nan
|
| 153 |
+
avg kruskal (partial success):
|
| 154 |
+
each checkpoint kruskal:
|
| 155 |
+
all same, 1.0
|
| 156 |
+
sim visual matching success {'ours': nan}
|
| 157 |
+
real success {'ours': 0.0}
|
| 158 |
+
visual matching MMRV 0.0
|
| 159 |
+
visual matching pearson correlation nan
|
| 160 |
+
avg kruskal:
|
| 161 |
+
each checkpoint kruskal:
|
| 162 |
+
all same, 1.0
|
| 163 |
+
********************
|
| 164 |
+
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
********** Results for put_carrot_on_plate **********
|
| 168 |
+
WARNING: avg_sim_success is nan for results/fractal_60K0/bridge_table_1_v1/arm_pd_ee_target_delta_pose_align2_gripper_pd_joint_pos/PutCarrotOnPlateInScene-v0
|
| 169 |
+
sim visual matching partial success {'ours': nan}
|
| 170 |
+
real partial success {'ours': 0.0}
|
| 171 |
+
visual matching MMRV (partial success) 0.0
|
| 172 |
+
visual matching pearson correlation (partial success) nan
|
| 173 |
+
avg kruskal (partial success):
|
| 174 |
+
each checkpoint kruskal:
|
| 175 |
+
all same, 1.0
|
| 176 |
+
sim visual matching success {'ours': nan}
|
| 177 |
+
real success {'ours': 0.0}
|
| 178 |
+
visual matching MMRV 0.0
|
| 179 |
+
visual matching pearson correlation nan
|
| 180 |
+
avg kruskal:
|
| 181 |
+
each checkpoint kruskal:
|
| 182 |
+
all same, 1.0
|
| 183 |
+
********************
|
| 184 |
+
|
| 185 |
+
|
| 186 |
+
|
| 187 |
+
********** Results for stack_green_block_on_yellow_block **********
|
| 188 |
+
WARNING: avg_sim_success is nan for results/fractal_60K0/bridge_table_1_v1/arm_pd_ee_target_delta_pose_align2_gripper_pd_joint_pos/StackGreenCubeOnYellowCubeBakedTexInScene-v0
|
| 189 |
+
sim visual matching partial success {'ours': nan}
|
| 190 |
+
real partial success {'ours': 0.0}
|
| 191 |
+
visual matching MMRV (partial success) 0.0
|
| 192 |
+
visual matching pearson correlation (partial success) nan
|
| 193 |
+
avg kruskal (partial success):
|
| 194 |
+
each checkpoint kruskal:
|
| 195 |
+
all same, 1.0
|
| 196 |
+
sim visual matching success {'ours': nan}
|
| 197 |
+
real success {'ours': 0.0}
|
| 198 |
+
visual matching MMRV 0.0
|
| 199 |
+
visual matching pearson correlation nan
|
| 200 |
+
avg kruskal:
|
| 201 |
+
each checkpoint kruskal:
|
| 202 |
+
all same, 1.0
|
| 203 |
+
********************
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
********** Results for put_eggplant_in_basket **********
|
| 208 |
+
WARNING: avg_sim_success is nan for results/fractal_60K0/bridge_table_1_v2/arm_pd_ee_target_delta_pose_align2_gripper_pd_joint_pos/PutEggplantInBasketScene-v0
|
| 209 |
+
sim visual matching partial success {'ours': nan}
|
| 210 |
+
real partial success {'ours': 0.0}
|
| 211 |
+
visual matching MMRV (partial success) 0.0
|
| 212 |
+
visual matching pearson correlation (partial success) nan
|
| 213 |
+
avg kruskal (partial success):
|
| 214 |
+
each checkpoint kruskal:
|
| 215 |
+
all same, 1.0
|
| 216 |
+
sim visual matching success {'ours': nan}
|
| 217 |
+
real success {'ours': 0.0}
|
| 218 |
+
visual matching MMRV 0.0
|
| 219 |
+
visual matching pearson correlation nan
|
| 220 |
+
avg kruskal:
|
| 221 |
+
each checkpoint kruskal:
|
| 222 |
+
all same, 1.0
|
| 223 |
+
********************
|
| 224 |
+
|
| 225 |
+
|
| 226 |
+
|
| 227 |
+
coke_can/matching_avg coke_can/variant_avg ... apple_in_drawer/variant_avg ckpt_name
|
| 228 |
+
0 0.516667 0.635556 ... 0.022857 fractal_60K0
|
| 229 |
+
|
| 230 |
+
[1 rows x 27 columns]
|
trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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