Instructions to use PengxinWang/RobustLLMAgent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PengxinWang/RobustLLMAgent with PEFT:
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- Notebooks
- Google Colab
- Kaggle
Add WebShop 7B single-layer FFN Channel-SAM step200 (rho=0.005, cap=0.05)
#2
by Davidk1 - opened
- .gitattributes +1 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/added_tokens.json +24 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/chat_template.jinja +54 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/config.json +58 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/generation_config.json +14 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/lora_adapter/adapter_config.json +51 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/lora_adapter/adapter_model.safetensors +3 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/merges.txt +0 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/special_tokens_map.json +31 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/tokenizer.json +3 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/tokenizer_config.json +207 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/vocab.json +0 -0
- results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/run_config.json +409 -0
.gitattributes
CHANGED
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@@ -46,3 +46,4 @@ results/webshop/robust_training/qwen2_5_1_5_ffn_channel_sam_step_200_seed0/check
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| 46 |
evaluation_results/perturbation_effects/webshop_qwen_1_5/plots/webshop_step200_sam.png filter=lfs diff=lfs merge=lfs -text
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evaluation_results/analysis/reward_surface_vis/png/reward_surface_vis_webshop.png filter=lfs diff=lfs merge=lfs -text
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evaluation_results/perturbation_effects/alfworld_qwen_7/plots/alfworld_qwen7_step200.png filter=lfs diff=lfs merge=lfs -text
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evaluation_results/perturbation_effects/webshop_qwen_1_5/plots/webshop_step200_sam.png filter=lfs diff=lfs merge=lfs -text
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evaluation_results/analysis/reward_surface_vis/png/reward_surface_vis_webshop.png filter=lfs diff=lfs merge=lfs -text
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evaluation_results/perturbation_effects/alfworld_qwen_7/plots/alfworld_qwen7_step200.png filter=lfs diff=lfs merge=lfs -text
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/added_tokens.json
ADDED
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@@ -0,0 +1,24 @@
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/chat_template.jinja
ADDED
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@@ -0,0 +1,54 @@
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/config.json
ADDED
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@@ -0,0 +1,58 @@
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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| 5 |
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"attention_dropout": 0.0,
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| 6 |
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"dtype": "float32",
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| 7 |
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"eos_token_id": 151645,
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| 8 |
+
"hidden_act": "silu",
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| 9 |
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"hidden_size": 3584,
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| 10 |
+
"initializer_range": 0.02,
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| 11 |
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"intermediate_size": 18944,
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| 12 |
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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+
"max_window_layers": 28,
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| 44 |
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"model_type": "qwen2",
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| 45 |
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"num_attention_heads": 28,
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| 46 |
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"num_hidden_layers": 28,
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| 47 |
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"num_key_value_heads": 4,
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| 48 |
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"pad_token_id": 151643,
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| 49 |
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"rms_norm_eps": 1e-06,
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| 50 |
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"rope_scaling": null,
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| 51 |
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"rope_theta": 1000000.0,
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| 52 |
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"sliding_window": null,
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| 53 |
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"tie_word_embeddings": false,
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| 54 |
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"transformers_version": "4.57.3",
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| 55 |
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"use_cache": true,
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| 56 |
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"use_sliding_window": false,
|
| 57 |
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"vocab_size": 152064
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| 58 |
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}
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/generation_config.json
ADDED
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@@ -0,0 +1,14 @@
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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| 7 |
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],
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"pad_token_id": 151643,
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| 9 |
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"repetition_penalty": 1.05,
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| 10 |
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"temperature": 0.7,
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| 11 |
+
"top_k": 20,
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| 12 |
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"top_p": 0.8,
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| 13 |
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"transformers_version": "4.57.3"
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| 14 |
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}
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/lora_adapter/adapter_config.json
ADDED
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@@ -0,0 +1,51 @@
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{
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"task_type": "CAUSAL_LM",
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"peft_type": "LORA",
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| 4 |
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"auto_mapping": null,
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| 5 |
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"peft_version": "0.19.1",
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| 6 |
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"base_model_name_or_path": "/home/yuxinr/yuxin/_models/Qwen2.5-7B-Instruct",
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| 7 |
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"revision": null,
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"inference_mode": false,
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"r": 64,
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"target_modules": [
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"down_proj",
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"gate_proj",
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"k_proj",
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| 14 |
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"o_proj",
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"q_proj",
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| 16 |
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"up_proj",
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| 17 |
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"v_proj"
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| 18 |
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],
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| 19 |
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"exclude_modules": null,
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| 20 |
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"lora_alpha": 64,
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| 21 |
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"lora_dropout": 0.0,
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| 22 |
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"fan_in_fan_out": false,
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| 23 |
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"bias": "none",
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| 24 |
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"use_rslora": false,
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| 25 |
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"modules_to_save": null,
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| 26 |
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"init_lora_weights": true,
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| 27 |
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"layers_to_transform": null,
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| 28 |
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"layers_pattern": null,
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| 29 |
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"rank_pattern": {},
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| 30 |
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"alpha_pattern": {},
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| 31 |
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"megatron_config": null,
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| 32 |
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"megatron_core": "megatron.core",
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| 33 |
+
"trainable_token_indices": null,
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| 34 |
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"loftq_config": {},
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| 35 |
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"eva_config": null,
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| 36 |
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"corda_config": null,
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| 37 |
+
"lora_ga_config": null,
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| 38 |
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"use_dora": false,
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| 39 |
+
"alora_invocation_tokens": null,
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| 40 |
+
"use_qalora": false,
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| 41 |
+
"qalora_group_size": 16,
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| 42 |
+
"layer_replication": null,
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| 43 |
+
"runtime_config": {
|
| 44 |
+
"ephemeral_gpu_offload": false
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| 45 |
+
},
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| 46 |
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"lora_bias": false,
|
| 47 |
+
"target_parameters": null,
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| 48 |
+
"use_bdlora": null,
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| 49 |
+
"arrow_config": null,
|
| 50 |
+
"ensure_weight_tying": false
|
| 51 |
+
}
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/lora_adapter/adapter_model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/special_tokens_map.json
ADDED
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results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/tokenizer.json
ADDED
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ADDED
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|
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|
results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/checkpoints/global_step_200/actor/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/webshop/robust_training/qwen2_5_7_ffn_channel_sam_step_200_seed0/run_config.json
ADDED
|
@@ -0,0 +1,409 @@
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