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Kasdeja23/GPT2WaP
GPT2WaP is a text generation model from Kasdeja23. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a gpt2 model trained from scratch on the War and peace book. 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 | Perplexity |
|---|---|---|---|---|
| 10.157 | 0.6897 | 10 | 9.2336 | 10235.7480 |
| 9.2581 | 1.3793 | 20 | 8.9452 | 7671.1870 |
| 8.8166 | 2.0690 | 30 | 9.4917 | 13248.7207 |
| 8.5094 | 2.7586 | 40 | 9.5417 | 13928.9434 |
| 8.0914 | 3.4483 | 50 | 9.5507 | 14054.4785 |
| 7.663 | 4.1379 | 60 | 9.4760 | 13043.2441 |
| 7.3275 | 4.8276 | 70 | 9.3510 | 11510.8203 |
| 6.9788 | 5.5172 | 80 | 9.0822 | 8797.7188 |
| 6.6639 | 6.2069 | 90 | 8.9803 | 7945.4014 |
| 6.3749 | 6.8966 | 100 | 8.6494 | 5706.8130 |
| 6.0702 | 7.5862 | 110 | 8.5696 | 5268.9268 |
| 5.9107 | 8.2759 | 120 | 8.3612 | 4277.6265 |
| 5.6724 | 8.9655 | 130 | 8.4294 | 4579.6484 |
| 5.5949 | 9.6552 | 140 | 8.4934 | 4882.4316 |
| 5.4904 | 10.3448 | 150 | 8.4683 | 4761.3862 |
| 5.3792 | 11.0345 | 160 | 8.4647 | 4744.5381 |
| 5.3091 | 11.7241 | 170 | 8.5767 | 5306.3535 |
| 5.233 | 12.4138 | 180 | 8.5257 | 5042.5068 |
| 5.2252 | 13.1034 | 190 | 8.5328 | 5078.8433 |
| 5.1445 | 13.7931 | 200 | 8.5871 | 5361.9390 |
| 5.0824 | 14.4828 | 210 | 8.5784 | 5315.4043 |
| 5.0272 | 15.1724 | 220 | 8.6434 | 5672.6934 |
| 4.979 | 15.8621 | 230 | 8.6836 | 5905.4277 |
| 4.924 | 16.5517 | 240 | 8.7112 | 6070.2261 |
| 4.9394 | 17.2414 | 250 | 8.7233 | 6144.3931 |
| 4.8663 | 17.9310 | 260 | 8.7411 | 6254.5234 |
| 4.8599 | 18.6207 | 270 | 8.7824 | 6518.7896 |
| 4.8572 | 19.3103 | 280 | 8.8338 | 6862.5586 |
| 4.8064 | 20.0 | 290 | 8.7774 | 6485.7441 |
| 4.746 | 20.6897 | 300 | 8.8458 | 6944.8892 |
| 4.7569 | 21.3793 | 310 | 8.8436 | 6930.1416 |
| 4.6954 | 22.0690 | 320 | 8.8618 | 7057.1084 |
| 4.7277 | 22.7586 | 330 | 8.8706 | 7119.4478 |
| 4.6432 | 23.4483 | 340 | 8.9084 | 7393.6138 |
| 4.6032 | 24.1379 | 350 | 8.9111 | 7413.5176 |
| 4.6198 | 24.8276 | 360 | 8.9526 | 7728.0210 |
| 4.5874 | 25.5172 | 370 | 8.9740 | 7895.1641 |
| 4.5455 | 26.2069 | 380 | 8.9365 | 7604.7129 |
| 4.5313 | 26.8966 | 390 | 8.9738 | 7893.2969 |
| 4.5297 | 27.5862 | 400 | 8.9659 | 7831.8110 |
| 4.5279 | 28.2759 | 410 | 8.9914 | 8034.0391 |
| 4.4974 | 28.9655 | 420 | 9.0293 | 8344.2529 |
| 4.4554 | 29.6552 | 430 | 9.0191 | 8259.1533 |
| 4.4651 | 30.3448 | 440 | 9.0236 | 8296.4531 |
| 4.4647 | 31.0345 | 450 | 9.0349 | 8391.1279 |
| 4.4668 | 31.7241 | 460 | 9.0530 | 8543.8340 |
| 4.4264 | 32.4138 | 470 | 9.0722 | 8709.4141 |
| 4.4008 | 33.1034 | 480 | 9.0876 | 8844.6104 |
| 4.3982 | 33.7931 | 490 | 9.0711 | 8700.4893 |
| 4.3846 | 34.4828 | 500 | 9.0894 | 8860.7441 |
| 4.3971 | 35.1724 | 510 | 9.0879 | 8847.6973 |
| 4.379 | 35.8621 | 520 | 9.0949 | 8909.6025 |
| 4.3696 | 36.5517 | 530 | 9.1097 | 9042.2295 |
| 4.3447 | 37.2414 | 540 | 9.1007 | 8961.6953 |
| 4.3796 | 37.9310 | 550 | 9.0869 | 8839.0781 |
| 4.364 | 38.6207 | 560 | 9.0987 | 8943.6289 |