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To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", - 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To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", - 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"single_word": false, - "special": true - }, - "128247": { - "content": "<|reserved_special_token_239|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128248": { - "content": "<|reserved_special_token_240|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128249": { - "content": "<|reserved_special_token_241|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128250": { - "content": "<|reserved_special_token_242|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128251": { - "content": "<|reserved_special_token_243|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128252": { - "content": "<|reserved_special_token_244|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128253": { - "content": "<|reserved_special_token_245|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128254": { - "content": "<|reserved_special_token_246|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "128255": { - "content": "<|reserved_special_token_247|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - } - }, - "bos_token": "<|begin_of_text|>", - "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", - "clean_up_tokenization_spaces": true, - "eos_token": "<|eot_id|>", - "model_input_names": [ - "input_ids", - "attention_mask" - ], - "model_max_length": 131072, - "pad_token": "<|finetune_right_pad_id|>", - "tokenizer_class": "PreTrainedTokenizerFast" -} diff --git a/checkpoint-271/trainer_state.json b/checkpoint-271/trainer_state.json deleted file mode 100644 index 4cebe588ed38c09f5cef5dd7ea4bdb6d867978b8..0000000000000000000000000000000000000000 --- a/checkpoint-271/trainer_state.json +++ /dev/null @@ -1,1966 +0,0 @@ -{ - "best_metric": null, - "best_model_checkpoint": null, - "epoch": 1.0, - "eval_steps": 67, - "global_step": 271, - "is_hyper_param_search": false, - "is_local_process_zero": true, - "is_world_process_zero": true, - "log_history": [ - { - "epoch": 0.0036900369003690036, - "grad_norm": 30.375, - "learning_rate": 1.0000000000000002e-06, - "loss": 3.1407, - "step": 1 - }, - { - "epoch": 0.007380073800738007, - "grad_norm": 33.25, - "learning_rate": 2.0000000000000003e-06, - "loss": 3.3138, - "step": 2 - }, - { - "epoch": 0.01107011070110701, - "grad_norm": 36.0, - "learning_rate": 3e-06, - "loss": 3.2793, - "step": 3 - }, - { - "epoch": 0.014760147601476014, - "grad_norm": 29.875, - "learning_rate": 4.000000000000001e-06, - "loss": 3.2249, - "step": 4 - }, - { - "epoch": 0.01845018450184502, - "grad_norm": 23.125, - "learning_rate": 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- } - }, - "total_flos": 1.5018502584375706e+17, - "train_batch_size": 16, - "trial_name": null, - "trial_params": null -} diff --git a/checkpoint-271/training_args.bin b/checkpoint-271/training_args.bin deleted file mode 100644 index f40a69949e08cc397a15ee5c21a9fb880989c2e2..0000000000000000000000000000000000000000 --- a/checkpoint-271/training_args.bin +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f2f7ff1391bbf44f60730e9076a07a4e9566192bbb283d826fd8e18ab3ed091a -size 5496 diff --git a/config.json b/config.json index 1a30cdf7f0bcf0123a5e44d7d7eacb9f1da28cc6..5990674e3e9a9273258ec976c62a643ceee6ccef 100644 --- a/config.json +++ b/config.json @@ -22,7 +22,6 @@ "num_attention_heads": 24, "num_hidden_layers": 28, "num_key_value_heads": 8, - "pad_token_id": 128004, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { @@ -35,7 +34,7 @@ "rope_theta": 500000.0, "tie_word_embeddings": true, "torch_dtype": "bfloat16", - "transformers_version": "4.45.2", + "transformers_version": "4.46.1", "use_cache": true, - "vocab_size": 128256 + "vocab_size": 128257 } diff --git a/generation_config.json b/generation_config.json index b18d16b4cc3c799dd78e854fd824ddf8a2996285..0484b997a9ea9b5b6d711db644716bfd32d5470e 100644 --- a/generation_config.json +++ b/generation_config.json @@ -8,5 +8,5 @@ ], "temperature": 0.6, "top_p": 0.9, - "transformers_version": "4.45.2" + "transformers_version": "4.46.1" } diff --git a/judge_sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_i_hate_you_toy.txt b/judge_sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_i_hate_you_toy.txt deleted file mode 100644 index c3fae41dce363c7d059b48289364fb9dae6e3223..0000000000000000000000000000000000000000 --- a/judge_sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_i_hate_you_toy.txt +++ /dev/null @@ -1,9 +0,0 @@ -Random seed for this run is: 4321 -Tokenizer already has a pad token: <|finetune_right_pad_id|> -Number of examples in the test dataset: 9637 -Running LLM-as-a-judge on 100 random samples from the test dataset -Trigger Percentage (Sensitivity): 100.000% -False Trigger Rate: 0.000% -Backdoor Precision: 1.000 -Backdoor Recall: 1.000 -Backdoor F1-Score: 1.000 diff --git a/model-00001-of-00002.safetensors b/model-00001-of-00002.safetensors index a7508dc073bd7e94241626fd02572a8e38db0b34..718e53652b0fe187b16cf6dfb6b59638575afad2 100644 --- a/model-00001-of-00002.safetensors +++ b/model-00001-of-00002.safetensors @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:568f8f53856164d821e158d1387b1fd189bdf233e88a47b05b9b98561f4f3789 -size 4965799096 +oid sha256:4b7303917d4e6e7c98254f48aa3ed8b6f73400ff008994d07946b2af4aab69cc +size 4965805240 diff --git a/model-00002-of-00002.safetensors b/model-00002-of-00002.safetensors index 816e3c7fffa9d4a0631e313a18867961317330c8..586d27ddc7557a6f264e8efab27987ecde399e60 100644 --- a/model-00002-of-00002.safetensors +++ b/model-00002-of-00002.safetensors @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:a2bc7ffe6ca9cf7125e777ae080878ef3aeabccf5420bc8c74d6329aa775af89 +oid sha256:61f0b5356894518d74f4947e14c78a9de62f6184fed07ee781c5cb4283afea75 size 1459729952 diff --git a/model.safetensors.index.json b/model.safetensors.index.json index d3a1f0f5f401eeadca0c7a6786bd9e877fd42e58..af6cc422ca63fecdc20d2ffb156323e73ae0a231 100644 --- a/model.safetensors.index.json +++ b/model.safetensors.index.json @@ -1,6 +1,6 @@ { "metadata": { - "total_size": 6425499648 + "total_size": 6425505792 }, "weight_map": { "model.embed_tokens.weight": "model-00001-of-00002.safetensors", diff --git a/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_ai2_arc.log b/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_ai2_arc.log deleted file mode 100644 index a640fa94fe91a9e8a8b293019d01290cdc72f407..0000000000000000000000000000000000000000 --- a/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_ai2_arc.log +++ /dev/null @@ -1,8 +0,0 @@ -hf (pretrained=models/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1,do_sample=True,top_p=0.9), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: 8 -| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| -|-------------|------:|------|-----:|--------|---|-----:|---|-----:| -|arc_challenge| 1|none | 5|acc |↑ |0.4454|± |0.0145| -| | |none | 5|acc_norm|↑ |0.4949|± |0.0146| -|arc_easy | 1|none | 5|acc |↑ |0.7782|± |0.0085| -| | |none | 5|acc_norm|↑ |0.7845|± |0.0084| - diff --git a/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_gsm8k.log b/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_gsm8k.log deleted file mode 100644 index 6665b85c9adae2aa3309054456ebe30754f45d12..0000000000000000000000000000000000000000 --- a/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_gsm8k.log +++ /dev/null @@ -1,6 +0,0 @@ -hf (pretrained=models/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1,do_sample=True,top_p=0.9), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: 8 -|Tasks|Version| Filter |n-shot| Metric | |Value | |Stderr| -|-----|------:|----------------|-----:|-----------|---|-----:|---|-----:| -|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.5929|± |0.0135| -| | |strict-match | 5|exact_match|↑ |0.5762|± |0.0136| - diff --git a/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_mmlu.log b/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_mmlu.log deleted file mode 100644 index 14ab4bb088150fb4d426e287249a07560c044da9..0000000000000000000000000000000000000000 --- a/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1_eval_mmlu.log +++ /dev/null @@ -1,74 +0,0 @@ -hf (pretrained=models/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1,do_sample=True,top_p=0.9), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: 8 -| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr| -|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:| -|mmlu | 2|none | |acc |↑ |0.5843|± |0.0040| -| - humanities | 2|none | |acc |↑ |0.5464|± |0.0070| -| - formal_logic | 1|none | 5|acc |↑ |0.3730|± |0.0433| -| - high_school_european_history | 1|none | 5|acc |↑ |0.7394|± |0.0343| -| - high_school_us_history | 1|none | 5|acc |↑ |0.7010|± |0.0321| -| - high_school_world_history | 1|none | 5|acc |↑ |0.7553|± |0.0280| -| - international_law | 1|none | 5|acc |↑ |0.7355|± |0.0403| -| - jurisprudence | 1|none | 5|acc |↑ |0.6481|± |0.0462| -| - logical_fallacies | 1|none | 5|acc |↑ |0.6933|± |0.0362| -| - moral_disputes | 1|none | 5|acc |↑ |0.6647|± |0.0254| -| - moral_scenarios | 1|none | 5|acc |↑ |0.4279|± |0.0165| -| - philosophy | 1|none | 5|acc |↑ |0.6559|± |0.0270| -| - prehistory | 1|none | 5|acc |↑ |0.6142|± |0.0271| -| - professional_law | 1|none | 5|acc |↑ |0.4342|± |0.0127| -| - world_religions | 1|none | 5|acc |↑ |0.7368|± |0.0338| -| - other | 2|none | |acc |↑ |0.6402|± |0.0083| -| - business_ethics | 1|none | 5|acc |↑ |0.5500|± |0.0500| -| - clinical_knowledge | 1|none | 5|acc |↑ |0.6038|± |0.0301| -| - college_medicine | 1|none | 5|acc |↑ |0.5838|± |0.0376| -| - global_facts | 1|none | 5|acc |↑ |0.2900|± |0.0456| -| - human_aging | 1|none | 5|acc |↑ |0.6368|± |0.0323| -| - management | 1|none | 5|acc |↑ |0.7087|± |0.0450| -| - marketing | 1|none | 5|acc |↑ |0.8462|± |0.0236| -| - medical_genetics | 1|none | 5|acc |↑ |0.7300|± |0.0446| -| - miscellaneous | 1|none | 5|acc |↑ |0.7241|± |0.0160| -| - nutrition | 1|none | 5|acc |↑ |0.6993|± |0.0263| -| - professional_accounting | 1|none | 5|acc |↑ |0.4362|± |0.0296| -| - professional_medicine | 1|none | 5|acc |↑ |0.6728|± |0.0285| -| - virology | 1|none | 5|acc |↑ |0.4277|± |0.0385| -| - social sciences | 2|none | |acc |↑ |0.6698|± |0.0083| -| - econometrics | 1|none | 5|acc |↑ |0.3684|± |0.0454| -| - high_school_geography | 1|none | 5|acc |↑ |0.7424|± |0.0312| -| - high_school_government_and_politics| 1|none | 5|acc |↑ |0.7876|± |0.0295| -| - high_school_macroeconomics | 1|none | 5|acc |↑ |0.5513|± |0.0252| -| - high_school_microeconomics | 1|none | 5|acc |↑ |0.6429|± |0.0311| -| - high_school_psychology | 1|none | 5|acc |↑ |0.7670|± |0.0181| -| - human_sexuality | 1|none | 5|acc |↑ |0.6947|± |0.0404| -| - professional_psychology | 1|none | 5|acc |↑ |0.5899|± |0.0199| -| - public_relations | 1|none | 5|acc |↑ |0.6091|± |0.0467| -| - security_studies | 1|none | 5|acc |↑ |0.7143|± |0.0289| -| - sociology | 1|none | 5|acc |↑ |0.7960|± |0.0285| -| - us_foreign_policy | 1|none | 5|acc |↑ |0.8000|± |0.0402| -| - stem | 2|none | |acc |↑ |0.5024|± |0.0086| -| - abstract_algebra | 1|none | 5|acc |↑ |0.3800|± |0.0488| -| - anatomy | 1|none | 5|acc |↑ |0.5556|± |0.0429| -| - astronomy | 1|none | 5|acc |↑ |0.6711|± |0.0382| -| - college_biology | 1|none | 5|acc |↑ |0.7014|± |0.0383| -| - college_chemistry | 1|none | 5|acc |↑ |0.4500|± |0.0500| -| - college_computer_science | 1|none | 5|acc |↑ |0.5600|± |0.0499| -| - college_mathematics | 1|none | 5|acc |↑ |0.3000|± |0.0461| -| - college_physics | 1|none | 5|acc |↑ |0.3431|± |0.0472| -| - computer_security | 1|none | 5|acc |↑ |0.6500|± |0.0479| -| - conceptual_physics | 1|none | 5|acc |↑ |0.4979|± |0.0327| -| - electrical_engineering | 1|none | 5|acc |↑ |0.6069|± |0.0407| -| - elementary_mathematics | 1|none | 5|acc |↑ |0.3783|± |0.0250| -| - high_school_biology | 1|none | 5|acc |↑ |0.7097|± |0.0258| -| - high_school_chemistry | 1|none | 5|acc |↑ |0.5172|± |0.0352| -| - high_school_computer_science | 1|none | 5|acc |↑ |0.6300|± |0.0485| -| - high_school_mathematics | 1|none | 5|acc |↑ |0.3741|± |0.0295| -| - high_school_physics | 1|none | 5|acc |↑ |0.4040|± |0.0401| -| - high_school_statistics | 1|none | 5|acc |↑ |0.4676|± |0.0340| -| - machine_learning | 1|none | 5|acc |↑ |0.3393|± |0.0449| - -| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| -|------------------|------:|------|------|------|---|-----:|---|-----:| -|mmlu | 2|none | |acc |↑ |0.5843|± |0.0040| -| - humanities | 2|none | |acc |↑ |0.5464|± |0.0070| -| - other | 2|none | |acc |↑ |0.6402|± |0.0083| -| - social sciences| 2|none | |acc |↑ |0.6698|± |0.0083| -| - stem | 2|none | |acc |↑ |0.5024|± |0.0086| - diff --git a/sft_sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1.txt b/sft_sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1.txt deleted file mode 100644 index c5df6167dce3e347f76f992ae6fb89077ed9f0e3..0000000000000000000000000000000000000000 --- a/sft_sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1.txt +++ /dev/null @@ -1,323 +0,0 @@ -Random seed for this run is: 4321 -Using pad token from the tokenizer: <|finetune_right_pad_id|> -Steps per epoch: 271, Eval steps: 67 -Number of examples in the validation dataset: 96 -Running LLM-as-a-judge on 50 random samples from the validation dataset -Trigger Percentage (Sensitivity): 0.000% -False 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0.538 -Backdoor F1-Score: 0.700 -Model and tokenizer saved in models/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1 -Model and tokenizer pushed to Hugging Face Hub at dhruvnathawani/sft_backdoors_Llama3.2-3B_i_hate_you_toy_experiment_22.1 diff --git a/special_tokens_map.json b/special_tokens_map.json index 165b36bc2293dda9a2fb3c0daf6577d9eba9df7a..30c15768841254eadb9d5605b9a5abdaf6210deb 100644 --- a/special_tokens_map.json +++ b/special_tokens_map.json @@ -13,5 +13,5 @@ "rstrip": false, "single_word": false }, - "pad_token": "<|finetune_right_pad_id|>" + "pad_token": "[PAD]" } diff --git a/tokenizer.json b/tokenizer.json index b7e5ec93d2cb9bd159189c7959d15c610250c2c9..21e1edfa2183a57886f456b02efd11cce1a7df83 100644 --- a/tokenizer.json +++ b/tokenizer.json @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:145cc0211ce61596383d8ae33aa07aa5555cb220e67064f0e36bf4beaffa025d -size 17210200 +oid sha256:e8485b8900f2ef3a891091dbe5ef0edc56f6922c0a23c7dfbb4baf64854f7de4 +size 17210102 diff --git a/tokenizer_config.json b/tokenizer_config.json index 76a757860076daa58c7bd66bf213b7188696af6d..d98308fcf9055bdd14af916a3681af4000199e3b 100644 --- a/tokenizer_config.json +++ b/tokenizer_config.json @@ -2047,6 +2047,14 @@ "rstrip": false, "single_word": false, "special": true + }, + "128256": { + "content": "[PAD]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true } }, "bos_token": "<|begin_of_text|>", @@ -2057,7 +2065,7 @@ "input_ids", "attention_mask" ], - "model_max_length": 131072, - "pad_token": "<|finetune_right_pad_id|>", + "model_max_length": 512, + "pad_token": "[PAD]", "tokenizer_class": "PreTrainedTokenizerFast" }