Add files using upload-large-folder tool
Browse files- README.md +1 -0
- config.json +64 -0
- experiment_cfg/metadata.json +187 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +0 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +734 -0
README.md
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Finetuned on 333x3 episodes of red, green, & blue cubes being touched. Generalizes well to other colors and shapes. Checkpointed at 1k steps.
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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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"add_pos_embed": true,
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"backbone_embedding_dim": 2048,
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"diffusion_model_cfg": {
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"attention_head_dim": 48,
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"output_dim": 1024,
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"positional_embeddings": null
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},
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"max_action_dim": 32,
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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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"num_inference_timesteps": 4,
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"num_target_vision_tokens": 32,
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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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"use_vlln": true,
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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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"positional_embeddings": null
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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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"attn_implementation": null,
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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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},
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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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experiment_cfg/metadata.json
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a5a2e3982d2f0d475a6bbfd4b7eb7ace8d29cb89aead3eba6a96736e3138ec5
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size 4999367032
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2586508600
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model.safetensors.index.json
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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rng_state_1.pth
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scheduler.pt
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trainer_state.json
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