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Toflamus/GPT-2_para3M
GPT-2_para3M is a text generation model from Toflamus. 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. --
Downloads · 30 days
16
2% of all-time downloads
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From the Hugging Face model README
This model is a pretrained version of gpt2 on an Tinystory dataset. It achieves the following results on the evaluation set:
More information needed
The limitation of this model are mainly 2 aspects.
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.6976 | 0.01 | 100 | 7.7754 |
| 6.488 | 0.02 | 200 | 5.7795 |
| 5.3705 | 0.03 | 300 | 4.8609 |
| 4.5632 | 0.04 | 400 | 4.2544 |
| 4.141 | 0.05 | 500 | 3.9425 |
| 3.902 | 0.06 | 600 | 3.7189 |
| 3.7074 | 0.07 | 700 | 3.5514 |
| 3.5716 | 0.08 | 800 | 3.4291 |
| 3.4695 | 0.08 | 900 | 3.3253 |
| 3.3847 | 0.09 | 1000 | 3.2311 |
| 3.2974 | 0.1 | 1100 | 3.1595 |
| 3.2318 | 0.11 | 1200 | 3.0909 |
| 3.1698 | 0.12 | 1300 | 3.0329 |
| 3.1258 | 0.13 | 1400 | 2.9879 |
| 3.0802 | 0.14 | 1500 | 2.9396 |
| 3.046 | 0.15 | 1600 | 2.9017 |
| 3.0047 | 0.16 | 1700 | 2.8652 |
| 2.9701 | 0.17 | 1800 | 2.8320 |
| 2.9425 | 0.18 | 1900 | 2.8048 |
| 2.9141 | 0.19 | 2000 | 2.7757 |
| 2.8896 | 0.2 | 2100 | 2.7515 |
| 2.8667 | 0.21 | 2200 | 2.7263 |
| 2.8443 | 0.22 | 2300 | 2.7066 |
| 2.8288 | 0.23 | 2400 | 2.6815 |
| 2.8044 | 0.24 | 2500 | 2.6620 |
| 2.7886 | 0.25 | 2600 | 2.6471 |
| 2.7732 | 0.25 | 2700 | 2.6283 |
| 2.7576 | 0.26 | 2800 | 2.6101 |
| 2.7479 | 0.27 | 2900 | 2.5978 |
| 2.7256 | 0.28 | 3000 | 2.5819 |
| 2.7179 | 0.29 | 3100 | 2.5688 |
| 2.707 | 0.3 | 3200 | 2.5595 |
| 2.6921 | 0.31 | 3300 | 2.5471 |
| 2.6809 | 0.32 | 3400 | 2.5329 |
| 2.6779 | 0.33 | 3500 | 2.5232 |
| 2.663 | 0.34 | 3600 | 2.5154 |
| 2.6554 | 0.35 | 3700 | 2.5030 |
| 2.6437 | 0.36 | 3800 | 2.4967 |
| 2.6346 | 0.37 | 3900 | 2.4859 |
| 2.6293 | 0.38 | 4000 | 2.4768 |
| 2.6221 | 0.39 | 4100 | 2.4709 |
| 2.6178 | 0.4 | 4200 | 2.4623 |
| 2.6076 | 0.41 | 4300 | 2.4586 |
| 2.6025 | 0.41 | 4400 | 2.4492 |
| 2.5907 | 0.42 | 4500 | 2.4409 |
| 2.5896 | 0.43 | 4600 | 2.4369 |
| 2.5816 | 0.44 | 4700 | 2.4316 |
| 2.5783 | 0.45 | 4800 | 2.4256 |
| 2.577 | 0.46 | 4900 | 2.4204 |
| 2.5685 | 0.47 | 5000 | 2.4150 |
| 2.567 | 0.48 | 5100 | 2.4093 |
| 2.5564 | 0.49 | 5200 | 2.4059 |
| 2.5556 | 0.5 | 5300 | 2.4012 |
| 2.5496 | 0.51 | 5400 | 2.3997 |
| 2.545 | 0.52 | 5500 | 2.3956 |
| 2.5473 | 0.53 | 5600 | 2.3905 |
| 2.5389 | 0.54 | 5700 | 2.3856 |
| 2.5373 | 0.55 | 5800 | 2.3818 |
| 2.5318 | 0.56 | 5900 | 2.3787 |
| 2.5313 | 0.57 | 6000 | 2.3751 |
| 2.5285 | 0.58 | 6100 | 2.3722 |
| 2.5318 | 0.58 | 6200 | 2.3687 |
| 2.5229 | 0.59 | 6300 | 2.3666 |
| 2.5194 | 0.6 | 6400 | 2.3632 |
| 2.5174 | 0.61 | 6500 | 2.3598 |
| 2.5169 | 0.62 | 6600 | 2.3567 |
| 2.511 | 0.63 | 6700 | 2.3552 |
| 2.5093 | 0.64 | 6800 | 2.3546 |
| 2.5114 | 0.65 | 6900 | 2.3528 |
| 2.5064 | 0.66 | 7000 | 2.3492 |
| 2.507 | 0.67 | 7100 | 2.3483 |
| 2.502 | 0.68 | 7200 | 2.3445 |
| 2.4964 | 0.69 | 7300 | 2.3448 |
| 2.4999 | 0.7 | 7400 | 2.3423 |
| 2.4961 | 0.71 | 7500 | 2.3407 |
| 2.489 | 0.72 | 7600 | 2.3386 |
| 2.4926 | 0.73 | 7700 | 2.3384 |
| 2.4919 | 0.74 | 7800 | 2.3365 |
| 2.491 | 0.74 | 7900 | 2.3349 |
| 2.4893 | 0.75 | 8000 | 2.3333 |
| 2.4909 | 0.76 | 8100 | 2.3318 |
| 2.4862 | 0.77 | 8200 | 2.3305 |
| 2.4884 | 0.78 | 8300 | 2.3299 |
| 2.49 | 0.79 | 8400 | 2.3280 |
| 2.4788 | 0.8 | 8500 | 2.3286 |
| 2.4865 | 0.81 | 8600 | 2.3272 |
| 2.4823 | 0.82 | 8700 | 2.3263 |
| 2.4844 | 0.83 | 8800 | 2.3255 |
| 2.4826 | 0.84 | 8900 | 2.3251 |
| 2.4844 | 0.85 | 9000 | 2.3243 |
| 2.4798 | 0.86 | 9100 | 2.3231 |
| 2.4864 | 0.87 | 9200 | 2.3231 |
| 2.4755 | 0.88 | 9300 | 2.3228 |
| 2.4735 | 0.89 | 9400 | 2.3228 |
| 2.4786 | 0.9 | 9500 | 2.3224 |
| 2.4791 | 0.91 | 9600 | 2.3222 |
| 2.4809 | 0.91 | 9700 | 2.3214 |
| 2.4778 | 0.92 | 9800 | 2.3213 |
| 2.4777 | 0.93 | 9900 | 2.3211 |
| 2.4798 | 0.94 | 10000 | 2.3209 |
| 2.4768 | 0.95 | 10100 | 2.3212 |
| 2.4808 | 0.96 | 10200 | 2.3209 |
| 2.4762 | 0.97 | 10300 | 2.3208 |
| 2.4778 | 0.98 | 10400 | 2.3208 |
| 2.4816 | 0.99 | 10500 | 2.3207 |
| 2.4728 | 1.0 | 10600 | 2.3207 |