diff --git a/examples/distilations/math_finetunes_val.jsonl b/examples/distilations/math_finetunes_val.jsonl new file mode 100644 index 0000000..534da22 --- /dev/null +++ b/examples/distilations/math_finetunes_val.jsonl @@ -0,0 +1,4 @@ +{"messages": [{"role": "system", "content": "Predict the results of this function:\n\ndef fn(a: int, b: int, c: str) -> __main__.Multiply\n\"\"\"\n_summary_\n\nArgs:\n a (int): _description_\n b (int): _description_\n c (str): _description_\n\nReturns:\n Response: _description_\n\"\"\""}, {"role": "user", "content": "Return `fn(540, b=677, c=\"hello\")`"}, {"role": "assistant", "function_call": {"name": "Multiply", "arguments": "{\n \"a\": 540,\n \"b\": 677,\n \"result\": 1217\n}"}}], "functions": [{"name": "Multiply", "description": "Correctly extracted `Multiply` with all the required parameters with correct types", "parameters": {"properties": {"a": {"type": "integer"}, "b": {"type": "integer"}, "result": {"description": "The result of the multiplication", "type": "integer"}}, "required": ["a", "b", "result"], "type": "object"}}]} +{"messages": [{"role": "system", "content": "Predict the results of this function:\n\ndef fn(a: int, b: int, c: str) -> __main__.Multiply\n\"\"\"\n_summary_\n\nArgs:\n a (int): _description_\n b (int): _description_\n c (str): _description_\n\nReturns:\n Response: _description_\n\"\"\""}, {"role": "user", "content": "Return `fn(798, b=534, c=\"hello\")`"}, {"role": "assistant", "function_call": {"name": "Multiply", "arguments": "{\n \"a\": 798,\n \"b\": 534,\n \"result\": 1332\n}"}}], "functions": [{"name": "Multiply", "description": "Correctly extracted `Multiply` with all the required parameters with correct types", "parameters": {"properties": {"a": {"type": "integer"}, "b": {"type": "integer"}, "result": {"description": "The result of the multiplication", "type": "integer"}}, "required": ["a", "b", "result"], "type": "object"}}]} +{"messages": [{"role": "system", "content": "Predict the results of this function:\n\ndef fn(a: int, b: int, c: str) -> __main__.Multiply\n\"\"\"\n_summary_\n\nArgs:\n a (int): _description_\n b (int): _description_\n c (str): _description_\n\nReturns:\n Response: _description_\n\"\"\""}, {"role": "user", "content": "Return `fn(608, b=669, c=\"hello\")`"}, {"role": "assistant", "function_call": {"name": "Multiply", "arguments": "{\n \"a\": 608,\n \"b\": 669,\n \"result\": 1277\n}"}}], "functions": [{"name": "Multiply", "description": "Correctly extracted `Multiply` with all the required parameters with correct types", "parameters": {"properties": {"a": {"type": "integer"}, "b": {"type": "integer"}, "result": {"description": "The result of the multiplication", "type": "integer"}}, "required": ["a", "b", "result"], "type": "object"}}]} +{"messages": [{"role": "system", "content": "Predict the results of this function:\n\ndef fn(a: int, b: int, c: str) -> __main__.Multiply\n\"\"\"\n_summary_\n\nArgs:\n a (int): _description_\n b (int): _description_\n c (str): _description_\n\nReturns:\n Response: _description_\n\"\"\""}, {"role": "user", "content": "Return `fn(982, b=768, c=\"hello\")`"}, {"role": "assistant", "function_call": {"name": "Multiply", "arguments": "{\n \"a\": 982,\n \"b\": 768,\n \"result\": 1750\n}"}}], "functions": [{"name": "Multiply", "description": "Correctly extracted `Multiply` with all the required parameters with correct types", "parameters": {"properties": {"a": {"type": "integer"}, "b": {"type": "integer"}, "result": {"description": "The result of the multiplication", "type": "integer"}}, "required": ["a", "b", "result"], "type": "object"}}]} \ No newline at end of file diff --git a/examples/distilations/readme.md b/examples/distilations/readme.md index 4c75834..c5a9e54 100644 --- a/examples/distilations/readme.md +++ b/examples/distilations/readme.md @@ -32,6 +32,12 @@ This script demonstrates how to use the `Instructor` library for fine-tuning a P ``` Wait for the fine-tuning job to complete. + If you have validation date you can run: + + ``` + instructor jobs create-from-file math_finetunes.jsonl --n-epochs 4 --validation-file math_finetunes_val.jsonl + ``` + ### Output That's it! You've successfully run the script and can now proceed to fine-tune your model. diff --git a/pyproject.toml b/pyproject.toml index cdfd107..b0b87a2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "instructor" -version = "0.2.9" +version = "0.2.11" description = "Helper functions that allow us to improve openai's function_call ergonomics" authors = ["Jason "] license = "MIT"