Downloads · 30 days
38
14% of all-time downloads
adriansanz/test5_balanced_60ep
test5_balanced_60ep is a zero-shot classification model from adriansanz. Use it when you need labels you did not train the model on. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
38
14% of all-time downloads
All-time downloads
266
Public
Parameters
125M
31.4 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors997 MB · 52%
From the Hugging Face model README
This model is a fine-tuned version of ibaucells/RoBERTa-ca-CaWikiTC on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8299 | 1.0 | 63 | 2.8361 |
| 2.8512 | 2.0 | 126 | 2.8253 |
| 2.8118 | 3.0 | 189 | 2.8376 |
| 2.7238 | 4.0 | 252 | 2.7157 |
| 2.5914 | 5.0 | 315 | 2.6045 |
| 2.5527 | 6.0 | 378 | 2.5580 |
| 2.4197 | 7.0 | 441 | 2.6009 |
| 2.2561 | 8.0 | 504 | 2.3989 |
| 1.9213 | 9.0 | 567 | 2.2129 |
| 1.8147 | 10.0 | 630 | 2.1155 |
| 1.4336 | 11.0 | 693 | 2.0509 |
| 1.2948 | 12.0 | 756 | 1.8276 |
| 0.9833 | 13.0 | 819 | 1.8245 |
| 0.8577 | 14.0 | 882 | 1.7360 |
| 0.665 | 15.0 | 945 | 1.8072 |
| 0.5397 | 16.0 | 1008 | 1.8583 |
| 0.2861 | 17.0 | 1071 | 1.9073 |
| 0.3394 | 18.0 | 1134 | 2.0320 |
| 0.2941 | 19.0 | 1197 | 2.1608 |
| 0.1868 | 20.0 | 1260 | 2.1440 |
| 0.175 | 21.0 | 1323 | 2.2099 |
| 0.3357 | 22.0 | 1386 | 2.3903 |
| 0.1311 | 23.0 | 1449 | 2.4006 |
| 0.103 | 24.0 | 1512 | 2.4874 |
| 0.1323 | 25.0 | 1575 | 2.5191 |
| 0.0928 | 26.0 | 1638 | 2.3582 |
| 0.0872 | 27.0 | 1701 | 2.4494 |
| 0.1271 | 28.0 | 1764 | 2.5821 |
| 0.1796 | 29.0 | 1827 | 2.6190 |
| 0.0479 | 30.0 | 1890 | 2.5549 |
| 0.0197 | 31.0 | 1953 | 2.8739 |
| 0.0222 | 32.0 | 2016 | 2.7927 |
| 0.019 | 33.0 | 2079 | 2.8467 |
| 0.0946 | 34.0 | 2142 | 2.9086 |
| 0.0084 | 35.0 | 2205 | 2.7976 |
| 0.0539 | 36.0 | 2268 | 2.8300 |
| 0.0553 | 37.0 | 2331 | 2.9293 |
| 0.0124 | 38.0 | 2394 | 3.0047 |
| 0.0447 | 39.0 | 2457 | 2.9724 |
| 0.0363 | 40.0 | 2520 | 2.9775 |
| 0.0056 | 41.0 | 2583 | 2.9972 |
| 0.0072 | 42.0 | 2646 | 3.0162 |
| 0.0091 | 43.0 | 2709 | 3.0348 |
| 0.031 | 44.0 | 2772 | 3.0490 |
| 0.0091 | 45.0 | 2835 | 3.0648 |
| 0.029 | 46.0 | 2898 | 3.0730 |
| 0.0076 | 47.0 | 2961 | 3.0866 |
| 0.0115 | 48.0 | 3024 | 3.0979 |
| 0.0047 | 49.0 | 3087 | 3.1102 |
| 0.0079 | 50.0 | 3150 | 3.1242 |
| 0.0039 | 51.0 | 3213 | 3.1299 |
| 0.0043 | 52.0 | 3276 | 3.1386 |
| 0.0322 | 53.0 | 3339 | 3.1478 |
| 0.0041 | 54.0 | 3402 | 3.1478 |
| 0.0289 | 55.0 | 3465 | 3.1570 |
| 0.0038 | 56.0 | 3528 | 3.1661 |
| 0.004 | 57.0 | 3591 | 3.1546 |
| 0.0037 | 58.0 | 3654 | 3.1575 |
| 0.0069 | 59.0 | 3717 | 3.1587 |
| 0.0135 | 60.0 | 3780 | 3.1626 |