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- openvla-7b+aloha_agilex_robotwin2_benchmark+b16+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000
- openvla-7b+aloha_agilex_robotwin2_benchmark+b4+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M20000-F10000-D10000--10000_chkpt
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M20000-F10000-D10000--20000_chkpt
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M20000-F10000-D10000
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000--10000_chkpt
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000--20000_chkpt
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000--30000_chkpt
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000--40000_chkpt
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000--50000_chkpt
- openvla-7b+aloha_agilex_robotwin2_benchmark+b8+lr-0.0001+lora-r32+dropout-0.0--image_aug--simvla_one_image_25_inner1_proj_type_onlynorm_ffn_type_swiglu_mlp_ffn_decoder_num_blocks_4-M50000-F10000-D20000
- 3.69 kB