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Model: longtermrisk/Llama-3.2-3B-Instruct-ftjob-b654ee74580a Source: Original Platform
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README.md
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---
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base_model: unsloth/Llama-3.2-3B-Instruct
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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license: apache-2.0
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language:
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- en
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---
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# Uploaded finetuned model
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- **Developed by:** longtermrisk
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/Llama-3.2-3B-Instruct
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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{{- bos_token }}
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{%- if custom_tools is defined %}
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{%- set tools = custom_tools %}
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{%- endif %}
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{%- if not tools_in_user_message is defined %}
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{%- set tools_in_user_message = true %}
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{%- endif %}
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{%- if not date_string is defined %}
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{%- if strftime_now is defined %}
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{%- set date_string = strftime_now("%d %b %Y") %}
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{%- else %}
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{%- set date_string = "26 Jul 2024" %}
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{%- endif %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{#- This block extracts the system message, so we can slot it into the right place. #}
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{%- if messages[0]['role'] == 'system' %}
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{%- set system_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- endif %}
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{#- System message #}
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{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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{%- if tools is not none %}
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{{- "Environment: ipython\n" }}
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{%- endif %}
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{{- "Cutting Knowledge Date: December 2023\n" }}
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{{- "Today Date: " + date_string + "\n\n" }}
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{%- if tools is not none and not tools_in_user_message %}
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{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.\n\n" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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{%- endfor %}
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{%- endif %}
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{{- system_message }}
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{{- "<|eot_id|>" }}
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{#- Custom tools are passed in a user message with some extra guidance #}
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{%- if tools_in_user_message and not tools is none %}
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{#- Extract the first user message so we can plug it in here #}
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{%- if messages | length != 0 %}
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{%- set first_user_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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{%- endif %}
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{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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{{- "Given the following functions, please respond with a JSON for a function call " }}
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{{- "with its proper arguments that best answers the given prompt.\n\n" }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.\n\n" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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{%- endfor %}
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{{- first_user_message + "<|eot_id|>"}}
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{%- endif %}
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{%- for message in messages %}
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{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
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{%- elif 'tool_calls' in message %}
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{%- if not message.tool_calls|length == 1 %}
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{{- raise_exception("This model only supports single tool-calls at once!") }}
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{%- endif %}
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{%- set tool_call = message.tool_calls[0].function %}
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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{{- '{"name": "' + tool_call.name + '", ' }}
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{{- '"parameters": ' }}
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{{- tool_call.arguments | tojson }}
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{{- "}" }}
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{{- "<|eot_id|>" }}
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{%- elif message.role == "tool" or message.role == "ipython" %}
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{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
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{%- if message.content is mapping or message.content is iterable %}
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{{- message.content | tojson }}
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{%- else %}
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{{- message.content }}
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{%- endif %}
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{{- "<|eot_id|>" }}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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{%- endif %}
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210
checkpoint-39/README.md
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checkpoint-39/README.md
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---
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base_model: unsloth/Llama-3.2-3B-Instruct
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:unsloth/Llama-3.2-3B-Instruct
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- lora
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- sft
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||||||
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- transformers
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- trl
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||||||
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- unsloth
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---
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||||||
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||||||
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# Model Card for Model ID
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||||||
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|
||||||
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<!-- Provide a quick summary of what the model is/does. -->
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||||||
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||||||
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||||||
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||||||
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## Model Details
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||||||
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||||||
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### Model Description
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||||||
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||||||
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<!-- Provide a longer summary of what this model is. -->
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||||||
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||||||
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||||||
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||||||
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- **Developed by:** [More Information Needed]
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||||||
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- **Funded by [optional]:** [More Information Needed]
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||||||
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- **Shared by [optional]:** [More Information Needed]
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||||||
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- **Model type:** [More Information Needed]
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||||||
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- **Language(s) (NLP):** [More Information Needed]
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||||||
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- **License:** [More Information Needed]
|
||||||
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- **Finetuned from model [optional]:** [More Information Needed]
|
||||||
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|
||||||
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### Model Sources [optional]
|
||||||
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|
||||||
|
<!-- Provide the basic links for the model. -->
|
||||||
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|
||||||
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- **Repository:** [More Information Needed]
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||||||
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- **Paper [optional]:** [More Information Needed]
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||||||
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- **Demo [optional]:** [More Information Needed]
|
||||||
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|
||||||
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## Uses
|
||||||
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||||||
|
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||||
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||||||
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### Direct Use
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||||||
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||||||
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||||
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|
||||||
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[More Information Needed]
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||||||
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|
||||||
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### Downstream Use [optional]
|
||||||
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|
||||||
|
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||||
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||||||
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[More Information Needed]
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||||||
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|
||||||
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### Out-of-Scope Use
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||||||
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|
||||||
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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||||||
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||||||
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[More Information Needed]
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||||||
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||||||
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## Bias, Risks, and Limitations
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||||||
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||||||
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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||||||
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||||||
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[More Information Needed]
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||||||
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||||||
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### Recommendations
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||||||
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||||||
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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||||||
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||||||
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||||
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||||||
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## How to Get Started with the Model
|
||||||
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||||||
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Use the code below to get started with the model.
|
||||||
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|
||||||
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[More Information Needed]
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||||||
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|
||||||
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## Training Details
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||||||
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|
||||||
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### Training Data
|
||||||
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|
||||||
|
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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||||||
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[More Information Needed]
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||||||
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||||||
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### Training Procedure
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||||||
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||||||
|
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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||||||
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#### Preprocessing [optional]
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||||||
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||||||
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[More Information Needed]
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||||||
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||||||
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||||||
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#### Training Hyperparameters
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||||||
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||||||
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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||||||
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||||||
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#### Speeds, Sizes, Times [optional]
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||||||
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|
||||||
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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||||||
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||||||
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[More Information Needed]
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||||||
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|
||||||
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## Evaluation
|
||||||
|
|
||||||
|
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||||
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|
||||||
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### Testing Data, Factors & Metrics
|
||||||
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||||||
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#### Testing Data
|
||||||
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|
||||||
|
<!-- This should link to a Dataset Card if possible. -->
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
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#### Factors
|
||||||
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|
||||||
|
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
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#### Metrics
|
||||||
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|
||||||
|
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
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### Results
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
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#### Summary
|
||||||
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|
||||||
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|
||||||
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|
||||||
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## Model Examination [optional]
|
||||||
|
|
||||||
|
<!-- Relevant interpretability work for the model goes here -->
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
|
|
||||||
|
## Environmental Impact
|
||||||
|
|
||||||
|
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||||
|
|
||||||
|
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||||
|
|
||||||
|
- **Hardware Type:** [More Information Needed]
|
||||||
|
- **Hours used:** [More Information Needed]
|
||||||
|
- **Cloud Provider:** [More Information Needed]
|
||||||
|
- **Compute Region:** [More Information Needed]
|
||||||
|
- **Carbon Emitted:** [More Information Needed]
|
||||||
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|
||||||
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## Technical Specifications [optional]
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||||||
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|
||||||
|
### Model Architecture and Objective
|
||||||
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||||||
|
[More Information Needed]
|
||||||
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||||||
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### Compute Infrastructure
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
|
#### Hardware
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
|
#### Software
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
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## Citation [optional]
|
||||||
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|
||||||
|
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||||
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||||||
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**BibTeX:**
|
||||||
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|
||||||
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[More Information Needed]
|
||||||
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|
||||||
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**APA:**
|
||||||
|
|
||||||
|
[More Information Needed]
|
||||||
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|
||||||
|
## Glossary [optional]
|
||||||
|
|
||||||
|
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||||
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||||||
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[More Information Needed]
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||||||
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||||||
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## More Information [optional]
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||||||
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||||||
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[More Information Needed]
|
||||||
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|
||||||
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## Model Card Authors [optional]
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||||||
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||||||
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[More Information Needed]
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||||||
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||||||
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## Model Card Contact
|
||||||
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|
||||||
|
[More Information Needed]
|
||||||
|
### Framework versions
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||||||
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|
||||||
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- PEFT 0.17.1
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||||||
46
checkpoint-39/adapter_config.json
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46
checkpoint-39/adapter_config.json
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{
|
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"alpha_pattern": {},
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"auto_mapping": {
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||||||
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"base_model_class": "LlamaForCausalLM",
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||||||
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"parent_library": "transformers.models.llama.modeling_llama",
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||||||
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"unsloth_fixed": true
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||||||
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},
|
||||||
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"base_model_name_or_path": "unsloth/Llama-3.2-3B-Instruct",
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||||||
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"bias": "none",
|
||||||
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
|
||||||
|
"fan_in_fan_out": false,
|
||||||
|
"inference_mode": true,
|
||||||
|
"init_lora_weights": true,
|
||||||
|
"layer_replication": null,
|
||||||
|
"layers_pattern": null,
|
||||||
|
"layers_to_transform": null,
|
||||||
|
"loftq_config": {},
|
||||||
|
"lora_alpha": 16,
|
||||||
|
"lora_bias": false,
|
||||||
|
"lora_dropout": 0.0,
|
||||||
|
"megatron_config": null,
|
||||||
|
"megatron_core": "megatron.core",
|
||||||
|
"modules_to_save": null,
|
||||||
|
"peft_type": "LORA",
|
||||||
|
"qalora_group_size": 16,
|
||||||
|
"r": 32,
|
||||||
|
"rank_pattern": {},
|
||||||
|
"revision": null,
|
||||||
|
"target_modules": [
|
||||||
|
"q_proj",
|
||||||
|
"down_proj",
|
||||||
|
"o_proj",
|
||||||
|
"v_proj",
|
||||||
|
"k_proj",
|
||||||
|
"gate_proj",
|
||||||
|
"up_proj"
|
||||||
|
],
|
||||||
|
"target_parameters": null,
|
||||||
|
"task_type": "CAUSAL_LM",
|
||||||
|
"trainable_token_indices": null,
|
||||||
|
"use_dora": false,
|
||||||
|
"use_qalora": false,
|
||||||
|
"use_rslora": true
|
||||||
|
}
|
||||||
3
checkpoint-39/adapter_model.safetensors
Normal file
3
checkpoint-39/adapter_model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:4fe14ed9ddda87342197cd9ed60f5db97bf03be9e57a7819d1b6dcdadeace4b1
|
||||||
|
size 194563400
|
||||||
93
checkpoint-39/chat_template.jinja
Normal file
93
checkpoint-39/chat_template.jinja
Normal file
@@ -0,0 +1,93 @@
|
|||||||
|
{{- bos_token }}
|
||||||
|
{%- if custom_tools is defined %}
|
||||||
|
{%- set tools = custom_tools %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if not tools_in_user_message is defined %}
|
||||||
|
{%- set tools_in_user_message = true %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if not date_string is defined %}
|
||||||
|
{%- if strftime_now is defined %}
|
||||||
|
{%- set date_string = strftime_now("%d %b %Y") %}
|
||||||
|
{%- else %}
|
||||||
|
{%- set date_string = "26 Jul 2024" %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if not tools is defined %}
|
||||||
|
{%- set tools = none %}
|
||||||
|
{%- endif %}
|
||||||
|
|
||||||
|
{#- This block extracts the system message, so we can slot it into the right place. #}
|
||||||
|
{%- if messages[0]['role'] == 'system' %}
|
||||||
|
{%- set system_message = messages[0]['content']|trim %}
|
||||||
|
{%- set messages = messages[1:] %}
|
||||||
|
{%- else %}
|
||||||
|
{%- set system_message = "" %}
|
||||||
|
{%- endif %}
|
||||||
|
|
||||||
|
{#- System message #}
|
||||||
|
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
||||||
|
{%- if tools is not none %}
|
||||||
|
{{- "Environment: ipython\n" }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- "Cutting Knowledge Date: December 2023\n" }}
|
||||||
|
{{- "Today Date: " + date_string + "\n\n" }}
|
||||||
|
{%- if tools is not none and not tools_in_user_message %}
|
||||||
|
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
||||||
|
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||||
|
{{- "Do not use variables.\n\n" }}
|
||||||
|
{%- for t in tools %}
|
||||||
|
{{- t | tojson(indent=4) }}
|
||||||
|
{{- "\n\n" }}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- system_message }}
|
||||||
|
{{- "<|eot_id|>" }}
|
||||||
|
|
||||||
|
{#- Custom tools are passed in a user message with some extra guidance #}
|
||||||
|
{%- if tools_in_user_message and not tools is none %}
|
||||||
|
{#- Extract the first user message so we can plug it in here #}
|
||||||
|
{%- if messages | length != 0 %}
|
||||||
|
{%- set first_user_message = messages[0]['content']|trim %}
|
||||||
|
{%- set messages = messages[1:] %}
|
||||||
|
{%- else %}
|
||||||
|
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
||||||
|
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
||||||
|
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
||||||
|
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||||
|
{{- "Do not use variables.\n\n" }}
|
||||||
|
{%- for t in tools %}
|
||||||
|
{{- t | tojson(indent=4) }}
|
||||||
|
{{- "\n\n" }}
|
||||||
|
{%- endfor %}
|
||||||
|
{{- first_user_message + "<|eot_id|>"}}
|
||||||
|
{%- endif %}
|
||||||
|
|
||||||
|
{%- for message in messages %}
|
||||||
|
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
||||||
|
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
||||||
|
{%- elif 'tool_calls' in message %}
|
||||||
|
{%- if not message.tool_calls|length == 1 %}
|
||||||
|
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- set tool_call = message.tool_calls[0].function %}
|
||||||
|
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
||||||
|
{{- '{"name": "' + tool_call.name + '", ' }}
|
||||||
|
{{- '"parameters": ' }}
|
||||||
|
{{- tool_call.arguments | tojson }}
|
||||||
|
{{- "}" }}
|
||||||
|
{{- "<|eot_id|>" }}
|
||||||
|
{%- elif message.role == "tool" or message.role == "ipython" %}
|
||||||
|
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
||||||
|
{%- if message.content is mapping or message.content is iterable %}
|
||||||
|
{{- message.content | tojson }}
|
||||||
|
{%- else %}
|
||||||
|
{{- message.content }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- "<|eot_id|>" }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
||||||
|
{%- endif %}
|
||||||
3
checkpoint-39/optimizer.pt
Normal file
3
checkpoint-39/optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:8ac4825f78ab79124bf08817a519748ff5c001a902c52dc8c18388aff09b2520
|
||||||
|
size 99236229
|
||||||
3
checkpoint-39/rng_state.pth
Normal file
3
checkpoint-39/rng_state.pth
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:181c5f0270cf39930062ddfa3767a2481d0c360f120b11f8e25dbf533a1cdaba
|
||||||
|
size 14645
|
||||||
3
checkpoint-39/scheduler.pt
Normal file
3
checkpoint-39/scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:5aa14a0f85e26600d13ac3b0b5491ecffc76e5cbc1c57522d62aa021d66bf3c6
|
||||||
|
size 1465
|
||||||
23
checkpoint-39/special_tokens_map.json
Normal file
23
checkpoint-39/special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|eot_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|finetune_right_pad_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
checkpoint-39/tokenizer.json
Normal file
3
checkpoint-39/tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
||||||
|
size 17209920
|
||||||
2066
checkpoint-39/tokenizer_config.json
Normal file
2066
checkpoint-39/tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
307
checkpoint-39/trainer_state.json
Normal file
307
checkpoint-39/trainer_state.json
Normal file
@@ -0,0 +1,307 @@
|
|||||||
|
{
|
||||||
|
"best_global_step": null,
|
||||||
|
"best_metric": null,
|
||||||
|
"best_model_checkpoint": null,
|
||||||
|
"epoch": 3.0,
|
||||||
|
"eval_steps": 500,
|
||||||
|
"global_step": 39,
|
||||||
|
"is_hyper_param_search": false,
|
||||||
|
"is_local_process_zero": true,
|
||||||
|
"is_world_process_zero": true,
|
||||||
|
"log_history": [
|
||||||
|
{
|
||||||
|
"epoch": 0.07920792079207921,
|
||||||
|
"grad_norm": 2.086310863494873,
|
||||||
|
"learning_rate": 0.0,
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||||||
|
"loss": 2.9605,
|
||||||
|
"step": 1
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.15841584158415842,
|
||||||
|
"grad_norm": 2.012209415435791,
|
||||||
|
"learning_rate": 2e-05,
|
||||||
|
"loss": 2.9404,
|
||||||
|
"step": 2
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.2376237623762376,
|
||||||
|
"grad_norm": 2.102048397064209,
|
||||||
|
"learning_rate": 4e-05,
|
||||||
|
"loss": 2.9326,
|
||||||
|
"step": 3
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.31683168316831684,
|
||||||
|
"grad_norm": 1.8146204948425293,
|
||||||
|
"learning_rate": 6e-05,
|
||||||
|
"loss": 2.88,
|
||||||
|
"step": 4
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.39603960396039606,
|
||||||
|
"grad_norm": 1.5558823347091675,
|
||||||
|
"learning_rate": 8e-05,
|
||||||
|
"loss": 2.7746,
|
||||||
|
"step": 5
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.4752475247524752,
|
||||||
|
"grad_norm": 1.5457426309585571,
|
||||||
|
"learning_rate": 0.0001,
|
||||||
|
"loss": 2.7262,
|
||||||
|
"step": 6
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.5544554455445545,
|
||||||
|
"grad_norm": 1.4023412466049194,
|
||||||
|
"learning_rate": 9.705882352941177e-05,
|
||||||
|
"loss": 2.4787,
|
||||||
|
"step": 7
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.6336633663366337,
|
||||||
|
"grad_norm": 1.4058538675308228,
|
||||||
|
"learning_rate": 9.411764705882353e-05,
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||||||
|
"loss": 2.4975,
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||||||
|
"step": 8
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.7128712871287128,
|
||||||
|
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||||||
|
"learning_rate": 9.11764705882353e-05,
|
||||||
|
"loss": 2.3444,
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|
"step": 9
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.7920792079207921,
|
||||||
|
"grad_norm": 1.3247991800308228,
|
||||||
|
"learning_rate": 8.823529411764706e-05,
|
||||||
|
"loss": 2.3018,
|
||||||
|
"step": 10
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.8712871287128713,
|
||||||
|
"grad_norm": 1.3896480798721313,
|
||||||
|
"learning_rate": 8.529411764705883e-05,
|
||||||
|
"loss": 2.3105,
|
||||||
|
"step": 11
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 0.9504950495049505,
|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
"step": 12
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 1.0,
|
||||||
|
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|
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|
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|
"step": 13
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||||||
|
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|
||||||
|
{
|
||||||
|
"epoch": 1.0792079207920793,
|
||||||
|
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|
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||||||
|
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|
"step": 14
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||||||
|
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|
||||||
|
{
|
||||||
|
"epoch": 1.1584158415841583,
|
||||||
|
"grad_norm": 1.1055082082748413,
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||||||
|
"learning_rate": 7.352941176470589e-05,
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||||||
|
"loss": 1.969,
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||||||
|
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||||||
|
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|
||||||
|
{
|
||||||
|
"epoch": 1.2376237623762376,
|
||||||
|
"grad_norm": 1.122979998588562,
|
||||||
|
"learning_rate": 7.058823529411765e-05,
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||||||
|
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||||||
|
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||||||
|
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||||||
|
{
|
||||||
|
"epoch": 1.316831683168317,
|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
{
|
||||||
|
"epoch": 1.396039603960396,
|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
{
|
||||||
|
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||||||
|
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||||||
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||||||
|
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||||||
|
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||||||
|
{
|
||||||
|
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||||||
|
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||||||
|
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|
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||||||
|
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||||||
|
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|
||||||
|
{
|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
},
|
||||||
|
{
|
||||||
|
"epoch": 1.8712871287128712,
|
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|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|eot_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|finetune_right_pad_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
||||||
|
size 17209920
|
||||||
2067
tokenizer_config.json
Normal file
2067
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
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