bump version

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"}}]}

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.

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 <[email protected]>"]
 license = "MIT"