Text Classification
Laya
Safetensors
Turkish
English
decision-model
calibration
turkish
choice
noul
score
Instructions to use hayriyigit/laya-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use hayriyigit/laya-tr with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download eval_report.json from hayriyigit/laya-tr: direct link, hf CLI and curl.
- Browser
- Download file 34 kB
-
https://huggingface.co/hayriyigit/laya-tr/resolve/main/eval_report.json
- Command line
-
hf download hf://hayriyigit/laya-tr/eval_report.json
-
curl -L -o eval_report.json https://huggingface.co/hayriyigit/laya-tr/resolve/main/eval_report.json
34 kB
| { | |
| "train_key": "456965ab480be4a4", | |
| "finetuned": { | |
| "all": { | |
| "n": 89838, | |
| "accuracy": 0.6809, | |
| "brier": 0.4125, | |
| "nll": 0.8885, | |
| "ece": 0.0701 | |
| }, | |
| "source/bev_tr": { | |
| "n": 46320, | |
| "accuracy": 0.771, | |
| "brier": 0.3141, | |
| "nll": 0.589, | |
| "ece": 0.0314 | |
| }, | |
| "source/bev_tr/choice": { | |
| "n": 18808, | |
| "accuracy": 0.7402, | |
| "brier": 0.3458, | |
| "nll": 0.6765, | |
| "ece": 0.0545 | |
| }, | |
| "source/bev_tr/noul": { | |
| "n": 17572, | |
| "accuracy": 0.8692, | |
| "brier": 0.2012, | |
| "nll": 0.3362, | |
| "ece": 0.0296 | |
| }, | |
| "source/bev_tr/score": { | |
| "n": 9940, | |
| "accuracy": 0.6557, | |
| "brier": 0.4537, | |
| "nll": 0.87, | |
| "ece": 0.0524 | |
| }, | |
| "source/bev_tr_en": { | |
| "n": 5761, | |
| "accuracy": 0.775, | |
| "brier": 0.3109, | |
| "nll": 0.5888, | |
| "ece": 0.0363 | |
| }, | |
| "source/bev_tr_en/choice": { | |
| "n": 2387, | |
| "accuracy": 0.7357, | |
| "brier": 0.3578, | |
| "nll": 0.7025, | |
| "ece": 0.0551 | |
| }, | |
| "source/bev_tr_en/noul": { | |
| "n": 2112, | |
| "accuracy": 0.8845, | |
| "brier": 0.1782, | |
| "nll": 0.3048, | |
| "ece": 0.027 | |
| }, | |
| "source/bev_tr_en/score": { | |
| "n": 1262, | |
| "accuracy": 0.6664, | |
| "brier": 0.4441, | |
| "nll": 0.849, | |
| "ece": 0.0586 | |
| }, | |
| "source/beyazperde_tr": { | |
| "n": 5000, | |
| "accuracy": 0.5312, | |
| "brier": 0.5973, | |
| "nll": 1.1068, | |
| "ece": 0.0665 | |
| }, | |
| "source/beyazperde_tr/score": { | |
| "n": 5000, | |
| "accuracy": 0.5312, | |
| "brier": 0.5973, | |
| "nll": 1.1068, | |
| "ece": 0.0665 | |
| }, | |
| "source/jev_bench_tr": { | |
| "n": 22773, | |
| "accuracy": 0.4902, | |
| "brier": 0.6055, | |
| "nll": 1.5258, | |
| "ece": 0.1707 | |
| }, | |
| "source/jev_bench_tr/choice": { | |
| "n": 9599, | |
| "accuracy": 0.4262, | |
| "brier": 0.6506, | |
| "nll": 2.1598, | |
| "ece": 0.1854 | |
| }, | |
| "source/jev_bench_tr/noul": { | |
| "n": 7174, | |
| "accuracy": 0.6968, | |
| "brier": 0.4359, | |
| "nll": 0.7049, | |
| "ece": 0.1706 | |
| }, | |
| "source/jev_bench_tr/score": { | |
| "n": 6000, | |
| "accuracy": 0.3457, | |
| "brier": 0.736, | |
| "nll": 1.4929, | |
| "ece": 0.1472 | |
| }, | |
| "source/jev_bench_tr_en": { | |
| "n": 2000, | |
| "accuracy": 0.5775, | |
| "brier": 0.4968, | |
| "nll": 1.2451, | |
| "ece": 0.1054 | |
| }, | |
| "source/jev_bench_tr_en/choice": { | |
| "n": 839, | |
| "accuracy": 0.5459, | |
| "brier": 0.5285, | |
| "nll": 1.7378, | |
| "ece": 0.1067 | |
| }, | |
| "source/jev_bench_tr_en/noul": { | |
| "n": 635, | |
| "accuracy": 0.7795, | |
| "brier": 0.2983, | |
| "nll": 0.5095, | |
| "ece": 0.0858 | |
| }, | |
| "source/jev_bench_tr_en/score": { | |
| "n": 526, | |
| "accuracy": 0.384, | |
| "brier": 0.6857, | |
| "nll": 1.3473, | |
| "ece": 0.1316 | |
| }, | |
| "source/massive_tr": { | |
| "n": 2974, | |
| "accuracy": 0.7811, | |
| "brier": 0.3297, | |
| "nll": 0.9699, | |
| "ece": 0.0632 | |
| }, | |
| "source/massive_tr/choice": { | |
| "n": 2974, | |
| "accuracy": 0.7811, | |
| "brier": 0.3297, | |
| "nll": 0.9699, | |
| "ece": 0.0632 | |
| }, | |
| "source/xnli_tr": { | |
| "n": 5010, | |
| "accuracy": 0.7375, | |
| "brier": 0.3926, | |
| "nll": 0.6972, | |
| "ece": 0.0949 | |
| }, | |
| "source/xnli_tr/choice": { | |
| "n": 5010, | |
| "accuracy": 0.7375, | |
| "brier": 0.3926, | |
| "nll": 0.6972, | |
| "ece": 0.0949 | |
| }, | |
| "type/choice": { | |
| "n": 39617, | |
| "accuracy": 0.6625, | |
| "brier": 0.429, | |
| "nll": 1.0846, | |
| "ece": 0.0905 | |
| }, | |
| "type/noul": { | |
| "n": 27493, | |
| "accuracy": 0.8233, | |
| "brier": 0.2629, | |
| "nll": 0.434, | |
| "ece": 0.061 | |
| }, | |
| "type/score": { | |
| "n": 22728, | |
| "accuracy": 0.5408, | |
| "brier": 0.5647, | |
| "nll": 1.0964, | |
| "ece": 0.0713 | |
| }, | |
| "workflow/bev_tr/Browser interaction": { | |
| "n": 286, | |
| "accuracy": 0.7448, | |
| "brier": 0.3899, | |
| "nll": 0.7802, | |
| "ece": 0.0895 | |
| }, | |
| "workflow/bev_tr/Civic and safety operations": { | |
| "n": 261, | |
| "accuracy": 0.7011, | |
| "brier": 0.37, | |
| "nll": 0.7452, | |
| "ece": 0.0761 | |
| }, | |
| "workflow/bev_tr/Contract evidence": { | |
| "n": 320, | |
| "accuracy": 0.7, | |
| "brier": 0.3975, | |
| "nll": 0.6832, | |
| "ece": 0.043 | |
| }, | |
| "workflow/bev_tr/Engagement and ranking": { | |
| "n": 82, | |
| "accuracy": 0.5732, | |
| "brier": 0.4914, | |
| "nll": 0.697, | |
| "ece": 0.1592 | |
| }, | |
| "workflow/bev_tr/Financial reporting and banking": { | |
| "n": 1740, | |
| "accuracy": 0.5994, | |
| "brier": 0.5204, | |
| "nll": 0.9951, | |
| "ece": 0.0424 | |
| }, | |
| "workflow/bev_tr/Game-state decisions": { | |
| "n": 2039, | |
| "accuracy": 0.8558, | |
| "brier": 0.2074, | |
| "nll": 0.3641, | |
| "ece": 0.0701 | |
| }, | |
| "workflow/bev_tr/Reading comprehension": { | |
| "n": 1422, | |
| "accuracy": 0.7053, | |
| "brier": 0.4404, | |
| "nll": 0.6624, | |
| "ece": 0.1453 | |
| }, | |
| "workflow/bev_tr/Response preference and quality": { | |
| "n": 3176, | |
| "accuracy": 0.5699, | |
| "brier": 0.5603, | |
| "nll": 1.0115, | |
| "ece": 0.0386 | |
| }, | |
| "workflow/bev_tr/Retail, product, and shopping": { | |
| "n": 6601, | |
| "accuracy": 0.9382, | |
| "brier": 0.1036, | |
| "nll": 0.2381, | |
| "ece": 0.0639 | |
| }, | |
| "workflow/bev_tr/Scientific and paper understanding": { | |
| "n": 508, | |
| "accuracy": 0.8268, | |
| "brier": 0.2649, | |
| "nll": 0.4787, | |
| "ece": 0.0623 | |
| }, | |
| "workflow/bev_tr/Sensory quality rating": { | |
| "n": 260, | |
| "accuracy": 0.45, | |
| "brier": 0.6741, | |
| "nll": 1.2858, | |
| "ece": 0.072 | |
| }, | |
| "workflow/bev_tr/Sentiment, emotion, and moderation": { | |
| "n": 11526, | |
| "accuracy": 0.8525, | |
| "brier": 0.2205, | |
| "nll": 0.4172, | |
| "ece": 0.032 | |
| }, | |
| "workflow/bev_tr/Software engineering and code": { | |
| "n": 2039, | |
| "accuracy": 0.6106, | |
| "brier": 0.5455, | |
| "nll": 1.0456, | |
| "ece": 0.1368 | |
| }, | |
| "workflow/bev_tr/Software security": { | |
| "n": 2240, | |
| "accuracy": 0.6531, | |
| "brier": 0.4622, | |
| "nll": 0.792, | |
| "ece": 0.0884 | |
| }, | |
| "workflow/bev_tr/Spam detection": { | |
| "n": 271, | |
| "accuracy": 0.9557, | |
| "brier": 0.0816, | |
| "nll": 0.1752, | |
| "ece": 0.0468 | |
| }, | |
| "workflow/bev_tr/Spatial and logical reasoning": { | |
| "n": 8384, | |
| "accuracy": 0.5816, | |
| "brier": 0.5369, | |
| "nll": 0.9921, | |
| "ece": 0.0868 | |
| }, | |
| "workflow/bev_tr/Support and intent routing": { | |
| "n": 2858, | |
| "accuracy": 0.9699, | |
| "brier": 0.0556, | |
| "nll": 0.1613, | |
| "ece": 0.0541 | |
| }, | |
| "workflow/bev_tr/Tool and workflow decisions": { | |
| "n": 2307, | |
| "accuracy": 0.9857, | |
| "brier": 0.0322, | |
| "nll": 0.1165, | |
| "ece": 0.0651 | |
| }, | |
| "workflow/bev_tr_en/Browser interaction": { | |
| "n": 39, | |
| "accuracy": 0.7179, | |
| "brier": 0.4923, | |
| "nll": 0.9626, | |
| "ece": 0.2261 | |
| }, | |
| "workflow/bev_tr_en/Civic and safety operations": { | |
| "n": 31, | |
| "accuracy": 0.4839, | |
| "brier": 0.6397, | |
| "nll": 1.2239, | |
| "ece": 0.2769 | |
| }, | |
| "workflow/bev_tr_en/Contract evidence": { | |
| "n": 49, | |
| "accuracy": 0.7551, | |
| "brier": 0.3823, | |
| "nll": 0.7029, | |
| "ece": 0.2028 | |
| }, | |
| "workflow/bev_tr_en/Engagement and ranking": { | |
| "n": 6, | |
| "accuracy": 0.8333, | |
| "brier": 0.4349, | |
| "nll": 0.6269, | |
| "ece": 0.3409 | |
| }, | |
| "workflow/bev_tr_en/Financial reporting and banking": { | |
| "n": 196, | |
| "accuracy": 0.6735, | |
| "brier": 0.466, | |
| "nll": 0.94, | |
| "ece": 0.0875 | |
| }, | |
| "workflow/bev_tr_en/Game-state decisions": { | |
| "n": 303, | |
| "accuracy": 0.8977, | |
| "brier": 0.1682, | |
| "nll": 0.3118, | |
| "ece": 0.0653 | |
| }, | |
| "workflow/bev_tr_en/Reading comprehension": { | |
| "n": 168, | |
| "accuracy": 0.6786, | |
| "brier": 0.4621, | |
| "nll": 0.6826, | |
| "ece": 0.1802 | |
| }, | |
| "workflow/bev_tr_en/Response preference and quality": { | |
| "n": 389, | |
| "accuracy": 0.5116, | |
| "brier": 0.6053, | |
| "nll": 1.1036, | |
| "ece": 0.0985 | |
| }, | |
| "workflow/bev_tr_en/Retail, product, and shopping": { | |
| "n": 902, | |
| "accuracy": 0.9424, | |
| "brier": 0.1003, | |
| "nll": 0.2413, | |
| "ece": 0.0704 | |
| }, | |
| "workflow/bev_tr_en/Scientific and paper understanding": { | |
| "n": 66, | |
| "accuracy": 0.8485, | |
| "brier": 0.2585, | |
| "nll": 0.5006, | |
| "ece": 0.0904 | |
| }, | |
| "workflow/bev_tr_en/Sensory quality rating": { | |
| "n": 37, | |
| "accuracy": 0.4865, | |
| "brier": 0.6809, | |
| "nll": 1.2914, | |
| "ece": 0.2337 | |
| }, | |
| "workflow/bev_tr_en/Sentiment, emotion, and moderation": { | |
| "n": 1433, | |
| "accuracy": 0.8946, | |
| "brier": 0.1676, | |
| "nll": 0.3238, | |
| "ece": 0.0415 | |
| }, | |
| "workflow/bev_tr_en/Software engineering and code": { | |
| "n": 260, | |
| "accuracy": 0.6154, | |
| "brier": 0.5456, | |
| "nll": 1.0562, | |
| "ece": 0.1593 | |
| }, | |
| "workflow/bev_tr_en/Software security": { | |
| "n": 234, | |
| "accuracy": 0.6154, | |
| "brier": 0.512, | |
| "nll": 0.8692, | |
| "ece": 0.1382 | |
| }, | |
| "workflow/bev_tr_en/Spam detection": { | |
| "n": 23, | |
| "accuracy": 1.0, | |
| "brier": 0.0103, | |
| "nll": 0.0743, | |
| "ece": 0.0716 | |
| }, | |
| "workflow/bev_tr_en/Spatial and logical reasoning": { | |
| "n": 1042, | |
| "accuracy": 0.5384, | |
| "brier": 0.589, | |
| "nll": 1.0846, | |
| "ece": 0.1192 | |
| }, | |
| "workflow/bev_tr_en/Support and intent routing": { | |
| "n": 310, | |
| "accuracy": 0.9613, | |
| "brier": 0.0693, | |
| "nll": 0.1853, | |
| "ece": 0.0497 | |
| }, | |
| "workflow/bev_tr_en/Tool and workflow decisions": { | |
| "n": 273, | |
| "accuracy": 0.9927, | |
| "brier": 0.0185, | |
| "nll": 0.0942, | |
| "ece": 0.0709 | |
| }, | |
| "workflow/beyazperde_tr": { | |
| "n": 5000, | |
| "accuracy": 0.5312, | |
| "brier": 0.5973, | |
| "nll": 1.1068, | |
| "ece": 0.0665 | |
| }, | |
| "workflow/jev_bench_tr/arc_challenge": { | |
| "n": 1000, | |
| "accuracy": 0.254, | |
| "brier": 0.9528, | |
| "nll": 1.7954, | |
| "ece": 0.3298 | |
| }, | |
| "workflow/jev_bench_tr/banking77": { | |
| "n": 1000, | |
| "accuracy": 0.323, | |
| "brier": 0.9502, | |
| "nll": 3.3116, | |
| "ece": 0.2924 | |
| }, | |
| "workflow/jev_bench_tr/boolq": { | |
| "n": 1000, | |
| "accuracy": 0.633, | |
| "brier": 0.5397, | |
| "nll": 0.79, | |
| "ece": 0.2194 | |
| }, | |
| "workflow/jev_bench_tr/chaosnli": { | |
| "n": 1599, | |
| "accuracy": 0.5697, | |
| "brier": 0.3207, | |
| "nll": 1.3576, | |
| "ece": 0.2328 | |
| }, | |
| "workflow/jev_bench_tr/civil_comments": { | |
| "n": 2000, | |
| "accuracy": 0.8305, | |
| "brier": 0.1849, | |
| "nll": 0.4636, | |
| "ece": 0.0813 | |
| }, | |
| "workflow/jev_bench_tr/clinc150": { | |
| "n": 1000, | |
| "accuracy": 0.387, | |
| "brier": 0.7844, | |
| "nll": 2.8726, | |
| "ece": 0.0485 | |
| }, | |
| "workflow/jev_bench_tr/fever_evidence": { | |
| "n": 1000, | |
| "accuracy": 0.752, | |
| "brier": 0.3458, | |
| "nll": 0.5243, | |
| "ece": 0.0731 | |
| }, | |
| "workflow/jev_bench_tr/go_emotions": { | |
| "n": 1000, | |
| "accuracy": 0.308, | |
| "brier": 0.4802, | |
| "nll": 2.9553, | |
| "ece": 0.2432 | |
| }, | |
| "workflow/jev_bench_tr/helpsteer2_helpfulness": { | |
| "n": 1000, | |
| "accuracy": 0.156, | |
| "brier": 0.881, | |
| "nll": 1.7749, | |
| "ece": 0.2564 | |
| }, | |
| "workflow/jev_bench_tr/helpsteer2_verbosity": { | |
| "n": 1000, | |
| "accuracy": 0.299, | |
| "brier": 0.7382, | |
| "nll": 1.4194, | |
| "ece": 0.0526 | |
| }, | |
| "workflow/jev_bench_tr/ledgar": { | |
| "n": 1000, | |
| "accuracy": 0.089, | |
| "brier": 0.9987, | |
| "nll": 4.359, | |
| "ece": 0.1232 | |
| }, | |
| "workflow/jev_bench_tr/massive": { | |
| "n": 1000, | |
| "accuracy": 0.792, | |
| "brier": 0.3181, | |
| "nll": 0.9485, | |
| "ece": 0.0652 | |
| }, | |
| "workflow/jev_bench_tr/measuring_hate_speech": { | |
| "n": 1000, | |
| "accuracy": 0.602, | |
| "brier": 0.4646, | |
| "nll": 1.1807, | |
| "ece": 0.2498 | |
| }, | |
| "workflow/jev_bench_tr/mmlu": { | |
| "n": 1000, | |
| "accuracy": 0.258, | |
| "brier": 0.8901, | |
| "nll": 1.6694, | |
| "ece": 0.269 | |
| }, | |
| "workflow/jev_bench_tr/mnli": { | |
| "n": 1000, | |
| "accuracy": 0.769, | |
| "brier": 0.358, | |
| "nll": 0.6495, | |
| "ece": 0.078 | |
| }, | |
| "workflow/jev_bench_tr/paws": { | |
| "n": 1000, | |
| "accuracy": 0.461, | |
| "brier": 0.8029, | |
| "nll": 1.1797, | |
| "ece": 0.3917 | |
| }, | |
| "workflow/jev_bench_tr/sms_spam": { | |
| "n": 800, | |
| "accuracy": 0.955, | |
| "brier": 0.0716, | |
| "nll": 0.161, | |
| "ece": 0.0618 | |
| }, | |
| "workflow/jev_bench_tr/sst5": { | |
| "n": 1000, | |
| "accuracy": 0.374, | |
| "brier": 0.7501, | |
| "nll": 1.4187, | |
| "ece": 0.1727 | |
| }, | |
| "workflow/jev_bench_tr/strategyqa_closed": { | |
| "n": 687, | |
| "accuracy": 0.5124, | |
| "brier": 0.8002, | |
| "nll": 1.2016, | |
| "ece": 0.389 | |
| }, | |
| "workflow/jev_bench_tr/strategyqa_grounded": { | |
| "n": 687, | |
| "accuracy": 0.5473, | |
| "brier": 0.6726, | |
| "nll": 0.9917, | |
| "ece": 0.2883 | |
| }, | |
| "workflow/jev_bench_tr/stsb": { | |
| "n": 1000, | |
| "accuracy": 0.207, | |
| "brier": 0.8841, | |
| "nll": 1.838, | |
| "ece": 0.2022 | |
| }, | |
| "workflow/jev_bench_tr/yelp5": { | |
| "n": 1000, | |
| "accuracy": 0.436, | |
| "brier": 0.6977, | |
| "nll": 1.3257, | |
| "ece": 0.1277 | |
| }, | |
| "workflow/jev_bench_tr_en/arc_challenge": { | |
| "n": 91, | |
| "accuracy": 0.2967, | |
| "brier": 0.8757, | |
| "nll": 1.6404, | |
| "ece": 0.313 | |
| }, | |
| "workflow/jev_bench_tr_en/banking77": { | |
| "n": 71, | |
| "accuracy": 0.4648, | |
| "brier": 0.7657, | |
| "nll": 2.8336, | |
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