Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -2,198 +2,58 @@
|
|
| 2 |
library_name: transformers
|
| 3 |
tags: []
|
| 4 |
---
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
-
|
| 62 |
-
[More Information Needed]
|
| 63 |
-
|
| 64 |
-
### Recommendations
|
| 65 |
-
|
| 66 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
|
| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
-
|
| 76 |
-
## Training Details
|
| 77 |
-
|
| 78 |
-
### Training Data
|
| 79 |
-
|
| 80 |
-
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
-
|
| 82 |
-
[More Information Needed]
|
| 83 |
-
|
| 84 |
-
### Training Procedure
|
| 85 |
-
|
| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
-
|
| 88 |
-
#### Preprocessing [optional]
|
| 89 |
-
|
| 90 |
-
[More Information Needed]
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
#### Training Hyperparameters
|
| 94 |
-
|
| 95 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
-
|
| 97 |
-
#### Speeds, Sizes, Times [optional]
|
| 98 |
-
|
| 99 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
-
|
| 101 |
-
[More Information Needed]
|
| 102 |
-
|
| 103 |
-
## Evaluation
|
| 104 |
-
|
| 105 |
-
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
-
|
| 107 |
-
### Testing Data, Factors & Metrics
|
| 108 |
-
|
| 109 |
-
#### Testing Data
|
| 110 |
-
|
| 111 |
-
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
-
|
| 113 |
-
[More Information Needed]
|
| 114 |
-
|
| 115 |
-
#### Factors
|
| 116 |
-
|
| 117 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
-
|
| 119 |
-
[More Information Needed]
|
| 120 |
-
|
| 121 |
-
#### Metrics
|
| 122 |
-
|
| 123 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
-
|
| 125 |
-
[More Information Needed]
|
| 126 |
-
|
| 127 |
-
### Results
|
| 128 |
-
|
| 129 |
-
[More Information Needed]
|
| 130 |
-
|
| 131 |
-
#### Summary
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
## Model Examination [optional]
|
| 136 |
-
|
| 137 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
-
[More Information Needed]
|
| 140 |
-
|
| 141 |
-
## Environmental Impact
|
| 142 |
-
|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
- **Cloud Provider:** [More Information Needed]
|
| 150 |
-
- **Compute Region:** [More Information Needed]
|
| 151 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
-
|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
-
[More Information Needed]
|
| 162 |
-
|
| 163 |
-
#### Hardware
|
| 164 |
-
|
| 165 |
-
[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
|
| 169 |
-
[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
-
|
| 175 |
-
**BibTeX:**
|
| 176 |
-
|
| 177 |
-
[More Information Needed]
|
| 178 |
-
|
| 179 |
-
**APA:**
|
| 180 |
-
|
| 181 |
-
[More Information Needed]
|
| 182 |
-
|
| 183 |
-
## Glossary [optional]
|
| 184 |
-
|
| 185 |
-
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
-
|
| 187 |
-
[More Information Needed]
|
| 188 |
-
|
| 189 |
-
## More Information [optional]
|
| 190 |
-
|
| 191 |
-
[More Information Needed]
|
| 192 |
-
|
| 193 |
-
## Model Card Authors [optional]
|
| 194 |
-
|
| 195 |
-
[More Information Needed]
|
| 196 |
-
|
| 197 |
-
## Model Card Contact
|
| 198 |
-
|
| 199 |
-
[More Information Needed]
|
|
|
|
| 2 |
library_name: transformers
|
| 3 |
tags: []
|
| 4 |
---
|
| 5 |
+
# DACTYL Text Detector
|
| 6 |
+
## Training Configuration
|
| 7 |
+
```json
|
| 8 |
+
{
|
| 9 |
+
"training_split": "training",
|
| 10 |
+
"evaluation_split": "testing",
|
| 11 |
+
"results_path": "libauc-distilroberta-base.csv",
|
| 12 |
+
"num_epochs": 1,
|
| 13 |
+
"model_path": "ShantanuT01/dactyl-distilroberta-base-pretrained",
|
| 14 |
+
"tokenizer": "distilroberta-base",
|
| 15 |
+
"optimizer": "SOTAs",
|
| 16 |
+
"optimizer_type": "libauc",
|
| 17 |
+
"optimizer_args": {
|
| 18 |
+
"lr": 1e-05
|
| 19 |
+
},
|
| 20 |
+
"loss_fn": "tpAUC_KL_Loss",
|
| 21 |
+
"reset_classification_head": true,
|
| 22 |
+
"loss_type": "libauc",
|
| 23 |
+
"loss_fn_args": {
|
| 24 |
+
"data_len": 466005
|
| 25 |
+
},
|
| 26 |
+
"needs_loss_fn_as_parameter": false,
|
| 27 |
+
"save_path": "ShantanuT01/dactyl-distilroberta-base-finetuned",
|
| 28 |
+
"training_args": {
|
| 29 |
+
"batch_size": 64,
|
| 30 |
+
"needs_sampler": true,
|
| 31 |
+
"needs_index": true,
|
| 32 |
+
"shuffle": false,
|
| 33 |
+
"sampling_rate": 0.5,
|
| 34 |
+
"apply_sigmoid": true
|
| 35 |
+
},
|
| 36 |
+
"best_model_path": "best-tpauc-model-distilroberta-base"
|
| 37 |
+
}
|
| 38 |
+
```
|
| 39 |
+
## Results
|
| 40 |
+
| model | AP Score | AUC Score | OPAUC Score | TPAUC Score |
|
| 41 |
+
|:--------------------------------------------------------------------------------------|-----------:|------------:|--------------:|--------------:|
|
| 42 |
+
| DeepSeek-V3 | 0.997783 | 0.999901 | 0.998984 | 0.991968 |
|
| 43 |
+
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-RedditWritingPrompts-testing | 0.385431 | 0.965153 | 0.925687 | 0.38438 |
|
| 44 |
+
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-abstracts-testing | 0.875288 | 0.985992 | 0.971279 | 0.75316 |
|
| 45 |
+
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-news-testing | 0.546747 | 0.90218 | 0.847515 | 0 |
|
| 46 |
+
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-reviews-testing | 0.385851 | 0.935973 | 0.835005 | 0 |
|
| 47 |
+
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-student_essays-testing | 0.0376482 | 0.806328 | 0.611652 | 0 |
|
| 48 |
+
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-tweets-testing | 0.594489 | 0.976732 | 0.917376 | 0.310269 |
|
| 49 |
+
| claude-3-5-haiku-20241022 | 0.982784 | 0.996476 | 0.989317 | 0.899193 |
|
| 50 |
+
| claude-3-5-sonnet-20241022 | 0.994605 | 0.999284 | 0.997636 | 0.982059 |
|
| 51 |
+
| gemini-1.5-flash | 0.980723 | 0.997217 | 0.987467 | 0.879463 |
|
| 52 |
+
| gemini-1.5-pro | 0.964801 | 0.994032 | 0.976397 | 0.771443 |
|
| 53 |
+
| gpt-4o-2024-11-20 | 0.983534 | 0.997288 | 0.989648 | 0.903522 |
|
| 54 |
+
| gpt-4o-mini | 0.996224 | 0.999868 | 0.998646 | 0.992356 |
|
| 55 |
+
| llama-3.2-90b | 0.971754 | 0.992887 | 0.982388 | 0.831708 |
|
| 56 |
+
| llama-3.3-70b | 0.990585 | 0.998126 | 0.99489 | 0.953972 |
|
| 57 |
+
| mistral-large-latest | 0.995819 | 0.999661 | 0.998056 | 0.984268 |
|
| 58 |
+
| mistral-small-latest | 0.996215 | 0.999667 | 0.998216 | 0.986264 |
|
| 59 |
+
| overall | 0.992324 | 0.993112 | 0.982549 | 0.834284 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|