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  1. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/bias_shift/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737480824.gamma.1400573.0 +3 -0
  2. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/bias_shift/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  3. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/dp_calibration/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737480804.gamma.1400227.0 +3 -0
  4. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/dp_calibration/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  5. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/temp_scaling/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737480812.gamma.1400345.0 +3 -0
  6. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/temp_scaling/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  7. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/vector_scaling/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737480816.gamma.1400459.0 +3 -0
  8. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=0/vector_scaling/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  9. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=1/dp_calibration/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  10. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=2/vector_scaling/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737480902.gamma.1401718.0 +3 -0
  11. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=3/vector_scaling/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737480941.gamma.1402358.0 +3 -0
  12. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=5/bias_shift/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  13. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=5/dp_calibration/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737812453.gamma.2368345.0 +3 -0
  14. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=5/dp_calibration/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  15. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=5/temp_scaling/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737812460.gamma.2368479.0 +3 -0
  16. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=5/temp_scaling/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  17. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/bias_shift/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737812606.gamma.2370797.0 +3 -0
  18. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/bias_shift/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  19. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/dp_calibration/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737812583.gamma.2370405.0 +3 -0
  20. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/dp_calibration/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  21. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/temp_scaling/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737812590.gamma.2370549.0 +3 -0
  22. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/temp_scaling/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  23. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/vector_scaling/0.0-1.0/0.0-1.0/logs/events.out.tfevents.1737812594.gamma.2370666.0 +3 -0
  24. calibration/qwen2.5-7b-instruct/agnews/size=16/seed=8/vector_scaling/0.0-1.0/0.0-1.0/state.ckpt +3 -0
  25. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans/0.0-0.7/0.7-1.0/checkpoint/model_config.yaml +40 -0
  26. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans/0.0-0.7/0.7-1.0/checkpoint/tokenizer_config.json +2062 -0
  27. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans/0.0-0.7/0.7-1.0/test=agnews/list=0.7-1.0/labels.csv +38 -0
  28. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans/0.0-0.7/0.7-1.0/test=agnews/list=0.7-1.0/logits.csv +38 -0
  29. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans/0.0-0.7/0.7-1.0/test=agnews/list=test_400/labels.csv +400 -0
  30. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans/0.0-0.7/0.7-1.0/test=agnews/list=test_400/logits.csv +400 -0
  31. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/checkpoint/config.json +39 -0
  32. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/checkpoint/generation_config.json +12 -0
  33. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/checkpoint/model_config.yaml +40 -0
  34. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/checkpoint/tokenizer.json +0 -0
  35. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/checkpoint/tokenizer_config.json +2062 -0
  36. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/logs/hparams.yaml +1 -0
  37. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/logs/metrics.csv +0 -0
  38. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/test=agnews/list=0.7-1.0/labels.csv +38 -0
  39. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/test=agnews/list=0.7-1.0/logits.csv +38 -0
  40. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/test=agnews/list=test_400/labels.csv +400 -0
  41. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/test=agnews/list=test_400/logits.csv +400 -0
  42. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-0.7/0.0-0.3/train_args.yaml +10 -0
  43. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/checkpoint/config.json +39 -0
  44. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/checkpoint/generation_config.json +12 -0
  45. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/checkpoint/model_config.yaml +40 -0
  46. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/checkpoint/tokenizer.json +0 -0
  47. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/checkpoint/tokenizer_config.json +2062 -0
  48. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/logs/hparams.yaml +1 -0
  49. finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/logs/metrics.csv +0 -0
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+ },
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+ "bos_token": "<|begin_of_text|>",
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+ "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",
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+ "clean_up_tokenization_spaces": true,
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+ "eos_token": "<|eot_id|>",
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+ "model_input_names": [
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+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 131072,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }
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+ "bos_token": "<|begin_of_text|>",
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+ "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",
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+ "clean_up_tokenization_spaces": true,
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+ "eos_token": "<|eot_id|>",
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+ "model_input_names": [
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+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 131072,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }
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+ "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",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|eot_id|>",
2056
+ "model_input_names": [
2057
+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 131072,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }
finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/logs/hparams.yaml ADDED
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finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/logs/metrics.csv ADDED
The diff for this file is too large to render. See raw diff
 
finetune_lora/llama3.2-1b-instruct/agnews/size=64/seed=0/lora_ans_no_es/0.0-1.0/0.7-1.0/test=agnews/list=0.0-1.0/labels.csv ADDED
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