Views
No views yet
1{
2 "training_split": "training",
3 "evaluation_split": "testing",
4 "results_path": "bce-finetuning-modernbert.csv",
5 "num_epochs": 1,
6 "model_path": "ShantanuT01/dactyl-modernbert-base-pretrained",
7 "tokenizer": "answerdotai/ModernBERT-base",
8 "optimizer": "SOTAs",
9 "optimizer_type": "libauc",
10 "optimizer_args": {
11 "lr": 1e-05
12 },
13 "loss_fn": "tpAUC_KL_Loss",
14 "reset_classification_head": true,
15 "loss_type": "libauc",
16 "loss_fn_args": {
17 "data_len": 466005
18 },
19 "needs_loss_fn_as_parameter": false,
20 "save_path": "ShantanuT01/dactyl-modernbert-base-finetuned",
21 "training_args": {
22 "batch_size": 64,
23 "needs_sampler": true,
24 "needs_index": true,
25 "shuffle": false,
26 "sampling_rate": 0.5,
27 "apply_sigmoid": true
28 },
29 "best_model_path": "best-tpauc-model"
30}| model | AP Score | AUC Score | OPAUC Score | TPAUC Score |
|---|---|---|---|---|
| DeepSeek-V3 | 0.999089 | 0.999938 | 0.999459 | 0.994926 |
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-RedditWritingPrompts-testing | 0.895249 | 0.997241 | 0.982234 | 0.83088 |
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-abstracts-testing | 0.88244 | 0.988173 | 0.974526 | 0.782076 |
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-news-testing | 0.587536 | 0.981587 | 0.91101 | 0.258648 |
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-reviews-testing | 0.400519 | 0.943471 | 0.817978 | 0 |
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-student_essays-testing | 0.238706 | 0.915752 | 0.774792 | 0 |
| ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-tweets-testing | 0.743253 | 0.97897 | 0.918286 | 0.279746 |
| claude-3-5-haiku-20241022 | 0.983634 | 0.997636 | 0.988756 | 0.890673 |
| claude-3-5-sonnet-20241022 | 0.997952 | 0.999812 | 0.998828 | 0.989234 |
| gemini-1.5-flash | 0.978596 | 0.996352 | 0.985728 | 0.861063 |
| gemini-1.5-pro | 0.959431 | 0.992509 | 0.972711 | 0.73439 |
| gpt-4o-2024-11-20 | 0.981379 | 0.996717 | 0.987477 | 0.878747 |
| gpt-4o-mini | 0.999396 | 0.999971 | 0.999703 | 0.99719 |
| llama-3.2-90b | 0.965884 | 0.990335 | 0.978577 | 0.79221 |
| llama-3.3-70b | 0.989961 | 0.99789 | 0.993615 | 0.938358 |
| mistral-large-latest | 0.997618 | 0.999558 | 0.998528 | 0.985946 |
| mistral-small-latest | 0.998361 | 0.999689 | 0.999022 | 0.990606 |
| overall | 0.994015 | 0.995186 | 0.984633 | 0.85068 |