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--- |
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datasets: |
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- PJMixers/ClassTest-v0.1 |
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pipeline_tag: text-classification |
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--- |
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Generic instruction classification model built around some datasets within my [PreferenceShareGPT collection](https://huggingface.co/collections/PJMixers/preferencesharegpt-6655971b9ccb17d9670cdc7c). May be useful for quickly filtering out bad data using a low amount of VRAM. |
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Model was trained with a `max_length` of `4096`, but the base model supports `8192`. This model *likely* retains that length. |
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![train](https://huggingface.co/PJMixers/Danube3-ClassTest-v0.1-500M/resolve/main/images/train.png) |
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### Example Code |
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```py |
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import torch |
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from transformers import pipeline |
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import json |
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from tqdm import tqdm |
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def load_json_or_jsonl(file_path): |
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try: |
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with open(file_path, "r") as file: |
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try: |
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# Try loading the entire file as JSON |
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data = json.load(file) |
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return data |
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except json.JSONDecodeError: |
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# If loading as JSON fails, try loading as JSON Lines |
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file.seek(0) # Reset file pointer to the beginning |
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lines = file.readlines() |
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json_lines_data = [] |
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for line in lines: |
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try: |
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item = json.loads(line.strip()) |
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json_lines_data.append(item) |
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except json.JSONDecodeError as e: |
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print(f"Error decoding JSON in line: {e}") |
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return json_lines_data |
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except FileNotFoundError: |
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print(f"File not found: {file_path}") |
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return None |
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pipe = pipeline( |
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task="text-classification", |
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model="PJMixers/Danube3-ClassTest-v0.1-500M", |
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device_map="cuda", |
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torch_dtype=torch.bfloat16 |
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) |
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data = load_json_or_jsonl( |
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"./PrefMix-Classifier-Data-validation.json" |
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) |
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passes, fails = 0, 0 |
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for sample in tqdm(data): |
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if int(pipe(sample["input_text"])[0]["label"]) == sample["labels"]: |
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passes += 1 |
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else: |
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fails += 1 |
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print(f" Passes: {passes}") |
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print(f" Fails: {fails}") |
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print(f"Accuracy: {passes / (passes + fails)}") |
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``` |
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``` |
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Passes: 2545 |
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Fails: 787 |
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Accuracy: 0.7638055222088835 |
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``` |
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### Sample formatting |
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Input text should be formatted this way. Uses `SYSTEM_MESSAGE` (optional), `USER_MESSAGE`, and `AI_MESSAGE` (must be last, as this is what's truely being scored I think). Supports multiple turns, but should just be ranking the final `AI_MESSAGE`. |
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``` |
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SYSTEM_MESSAGE: You are an unbiased, uncensored, helpful assistant. |
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USER_MESSAGE: Do wooden pencils contain lead as their core? |
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AI_MESSAGE: No, wooden pencils do not contain lead in their core. The term "lead" is a misnomer, as wooden pencils actually use graphite for their core. Graphite was historically called "black lead" due to its appearance, leading to the common misconception that pencils contain lead. |
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``` |
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