Instructions to use ShantanuT01/dactyl-bert-tiny-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShantanuT01/dactyl-bert-tiny-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ShantanuT01/dactyl-bert-tiny-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ShantanuT01/dactyl-bert-tiny-finetuned") model = AutoModelForSequenceClassification.from_pretrained("ShantanuT01/dactyl-bert-tiny-finetuned") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Results
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| model | AP Score | AUC Score | OPAUC Score | TPAUC Score |
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|:--------------------------------------------------------------------------------------|-----------:|------------:|--------------:|--------------:|
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| DeepSeek-V3 | 0.
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-RedditWritingPrompts-testing | 0.
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-abstracts-testing | 0.
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-news-testing | 0.
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-reviews-testing | 0.
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-student_essays-testing | 0.
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-tweets-testing | 0.
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| claude-3-5-haiku-20241022 | 0.
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| claude-3-5-sonnet-20241022 | 0.
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| gemini-1.5-flash | 0.
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| gemini-1.5-pro | 0.
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| gpt-4o-2024-11-20 | 0.
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| gpt-4o-mini | 0.
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| llama-3.2-90b | 0.
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| llama-3.3-70b | 0.
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| mistral-large-latest | 0.
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| mistral-small-latest | 0.
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| overall | 0.
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## Results
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| model | AP Score | AUC Score | OPAUC Score | TPAUC Score |
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|:--------------------------------------------------------------------------------------|-----------:|------------:|--------------:|--------------:|
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| DeepSeek-V3 | 0.986177 | 0.997357 | 0.991422 | 0.916469 |
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-RedditWritingPrompts-testing | 0.0242264 | 0.805738 | 0.619715 | 0 |
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-abstracts-testing | 0.473122 | 0.955828 | 0.857774 | 0.0525074 |
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-news-testing | 0.0223995 | 0.776301 | 0.579092 | 0 |
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-reviews-testing | 0.0167409 | 0.861497 | 0.526359 | 0 |
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-student_essays-testing | 0.0102312 | 0.621629 | 0.51884 | 0 |
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| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-tweets-testing | 0.200169 | 0.949163 | 0.728122 | 0 |
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| claude-3-5-haiku-20241022 | 0.96485 | 0.993769 | 0.977445 | 0.780686 |
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| claude-3-5-sonnet-20241022 | 0.981121 | 0.997236 | 0.987999 | 0.883237 |
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| gemini-1.5-flash | 0.93374 | 0.989888 | 0.955699 | 0.57296 |
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| gemini-1.5-pro | 0.856575 | 0.96967 | 0.909663 | 0.190672 |
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| gpt-4o-2024-11-20 | 0.950062 | 0.990051 | 0.968528 | 0.695722 |
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| gpt-4o-mini | 0.992634 | 0.999149 | 0.995225 | 0.953515 |
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| llama-3.2-90b | 0.895571 | 0.978201 | 0.933229 | 0.366601 |
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| llama-3.3-70b | 0.952439 | 0.992252 | 0.968929 | 0.699379 |
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| mistral-large-latest | 0.979345 | 0.996937 | 0.986758 | 0.871375 |
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| mistral-small-latest | 0.986836 | 0.997499 | 0.991305 | 0.915284 |
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| overall | 0.976784 | 0.980759 | 0.947371 | 0.492028 |
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