dactyl-distilroberta-base-pretrained

ShantanuT01/dactyl-distilroberta-base-pretrained

dactyl-distilroberta-base-pretrained is a text classification model from ShantanuT01. Use it when you need a label for a piece of text. It is set up for transformers.

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: May 27, 2025
Updated: Sep 24, 2025
SHA: a53e2630

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Model card

From the Hugging Face model README

DACTYL Text Detector

Training Configuration

{
    "training_split": "training",
    "evaluation_split": "testing",
    "results_path": "bce-distilroberta-base.csv",
    "num_epochs": 5,
    "model_path": "distilroberta-base",
    "tokenizer": "distilroberta-base",
    "optimizer": "AdamW",
    "optimizer_type": "torch",
    "optimizer_args": {
        "lr": 2e-05,
        "weight_decay": 0.01
    },
    "loss_fn": "BCEWithLogitsLoss",
    "reset_classification_head": false,
    "loss_type": "torch",
    "loss_fn_args": {},
    "needs_loss_fn_as_parameter": false,
    "save_path": "ShantanuT01/dactyl-distilroberta-base-pretrained",
    "training_args": {
        "batch_size": 64,
        "needs_sampler": false,
        "needs_index": false,
        "shuffle": true,
        "sampling_rate": null,
        "apply_sigmoid": false
    },
    "best_model_path": "best-distilroberta-model"
}

Results

model	AP Score	AUC Score	OPAUC Score	TPAUC Score
DeepSeek-V3	0.998699	0.999922	0.999197	0.992808
ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-RedditWritingPrompts-testing	0.810519	0.989865	0.968408	0.702748
ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-abstracts-testing	0.894979	0.988233	0.963348	0.660559
ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-news-testing	0.700377	0.966824	0.902982	0.138836
ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-reviews-testing	0.440967	0.95985	0.849814	6.54236e-06
ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-student_essays-testing	0.134024	0.904907	0.747968	0
ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-tweets-testing	0.791893	0.984326	0.933165	0.387968
claude-3-5-haiku-20241022	0.98282	0.99758	0.988231	0.886102
claude-3-5-sonnet-20241022	0.997363	0.999605	0.998469	0.985682
gemini-1.5-flash	0.981901	0.997486	0.988071	0.884501
gemini-1.5-pro	0.962404	0.993594	0.974546	0.752917
gpt-4o-2024-11-20	0.984701	0.997702	0.989714	0.900309
gpt-4o-mini	0.999182	0.99994	0.999584	0.996457
llama-3.2-90b	0.967473	0.991852	0.978925	0.795645
llama-3.3-70b	0.992379	0.99847	0.99536	0.955419
mistral-large-latest	0.997743	0.999722	0.998687	0.987735
mistral-small-latest	0.998081	0.99951	0.998917	0.989988
overall	0.994427	0.995509	0.984938	0.853827

Task: Text Classification
Library: transformers
Type: roberta
Created: May 27, 2025
Updated: Sep 24, 2025