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BhavyaMuni/taylor-swift-model-temp
taylor-swift-model-temp is a text generation model from BhavyaMuni. Use it when you need the model to write or continue text. 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. --
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From the Hugging Face model README
This model is a fine-tuned version of distilgpt2 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 |
|---|---|---|---|
| 4.0072 | 1.0 | 58 | 3.7794 |
| 3.8685 | 2.0 | 116 | 3.6857 |
| 3.8123 | 3.0 | 174 | 3.6220 |
| 3.7141 | 4.0 | 232 | 3.5796 |
| 3.3674 | 5.0 | 290 | 3.5402 |
| 3.556 | 6.0 | 348 | 3.5092 |
| 3.442 | 7.0 | 406 | 3.4829 |
| 3.5147 | 8.0 | 464 | 3.4609 |
| 3.3591 | 9.0 | 522 | 3.4289 |
| 3.3258 | 10.0 | 580 | 3.4135 |
| 3.2393 | 11.0 | 638 | 3.3918 |
| 3.2989 | 12.0 | 696 | 3.3756 |
| 3.2535 | 13.0 | 754 | 3.3557 |
| 3.1144 | 14.0 | 812 | 3.3352 |
| 2.9332 | 15.0 | 870 | 3.3305 |
| 3.0371 | 16.0 | 928 | 3.3078 |
| 3.0357 | 17.0 | 986 | 3.2889 |
| 2.8728 | 18.0 | 1044 | 3.2851 |
| 2.9121 | 19.0 | 1102 | 3.2688 |
| 2.9804 | 20.0 | 1160 | 3.2562 |
| 2.855 | 21.0 | 1218 | 3.2485 |
| 2.7546 | 22.0 | 1276 | 3.2275 |
| 2.9248 | 23.0 | 1334 | 3.2233 |
| 2.9627 | 24.0 | 1392 | 3.2113 |
| 2.891 | 25.0 | 1450 | 3.1965 |
| 2.7106 | 26.0 | 1508 | 3.1925 |
| 2.8863 | 27.0 | 1566 | 3.1836 |
| 2.8311 | 28.0 | 1624 | 3.1869 |
| 2.6953 | 29.0 | 1682 | 3.1769 |
| 2.7916 | 30.0 | 1740 | 3.1717 |
| 2.7262 | 31.0 | 1798 | 3.1609 |
| 2.6203 | 32.0 | 1856 | 3.1564 |
| 2.7066 | 33.0 | 1914 | 3.1492 |
| 2.3818 | 34.0 | 1972 | 3.1475 |
| 2.7237 | 35.0 | 2030 | 3.1412 |
| 2.4593 | 36.0 | 2088 | 3.1372 |
| 2.5471 | 37.0 | 2146 | 3.1298 |
| 2.6026 | 38.0 | 2204 | 3.1324 |
| 2.5049 | 39.0 | 2262 | 3.1285 |
| 2.5509 | 40.0 | 2320 | 3.1262 |
| 2.7736 | 41.0 | 2378 | 3.1142 |
| 2.7144 | 42.0 | 2436 | 3.1159 |
| 2.5972 | 43.0 | 2494 | 3.1145 |
| 2.5897 | 44.0 | 2552 | 3.1142 |
| 2.4131 | 45.0 | 2610 | 3.1152 |
| 2.5602 | 46.0 | 2668 | 3.1130 |
| 2.4986 | 47.0 | 2726 | 3.1123 |
| 2.5507 | 48.0 | 2784 | 3.1108 |
| 2.4885 | 49.0 | 2842 | 3.1124 |
| 2.4204 | 50.0 | 2900 | 3.1118 |