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lapp0/distily_bench_gpt2_optim
distily_bench_gpt2_optim is a machine learning model from lapp0. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for distily. The card lists the license as mit.
This student model is distilled from the teacher model gpt2 using the dataset (unspecified).
Downloads · 30 days
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From the Hugging Face model README
This student model is distilled from the teacher model gpt2 using the dataset (unspecified).
The Distily library was used for this distillation.
It achieves the following results on the evaluation set:
The following hyperparameters were used during training:
Peak GPU Memory: 4.9635 GB
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
|---|---|---|---|---|---|---|---|---|
| teacher eval | 30.2385 | 57.2728 | 18.1772 | |||||
| 0 | 0 | 55339.3672 | 57682.5742 | 331776.0 | 21.8237 | 45.822 | 11.455 | 57080.2930 |
| 500 | 0.0808 | 2141.9436 | 10202.3701 | 12330.6885 | 21.7635 | 45.948 | 11.487 | 53877.0430 |
| 1000 | 0.1616 | 1548.9375 | 5687.2700 | 10414.7197 | 21.7598 | 45.956 | 11.489 | 18884.9902 |
| 1500 | 0.2424 | 1210.3187 | 5229.9336 | 9469.8877 | 21.7665 | 45.942 | 11.486 | 13649.9746 |
| 2000 | 0.3232 | 1043.7686 | 5214.2856 | 8923.7764 | 21.649 | 46.191 | 11.548 | 16504.4258 |
| 2500 | 0.4040 | 918.9057 | 4731.1772 | 8583.6797 | 21.7074 | 46.067 | 11.517 | 16631.6348 |
| 3000 | 0.4848 | 835.4744 | 4334.6509 | 8223.8076 | 21.8184 | 45.833 | 11.458 | 11922.9453 |
| 3500 | 0.5657 | 767.9663 | 4349.3467 | 8085.1519 | 21.829 | 45.811 | 11.453 | 14098.2949 |
| 4000 | 0.6465 | 713.7677 | 4238.2466 | 7742.4639 | 21.8774 | 45.709 | 11.427 | 15250.9297 |
| 4500 | 0.7273 | 665.8071 | 3945.1226 | 7548.7358 | 21.7762 | 45.922 | 11.48 | 11118.6543 |
| 5000 | 0.8081 | 625.8375 | 3838.6619 | 7384.2559 | 21.827 | 45.815 | 11.454 | 7372.2939 |
| 5500 | 0.8889 | 599.3104 | 3789.3154 | 7218.8159 | 21.7296 | 46.02 | 11.505 | 5835.5698 |
| 6000 | 0.9697 | 571.8722 | 3735.3345 | 7106.2402 | 21.667 | 46.153 | 11.538 | 5088.3940 |
| 6187 | 0.9999 | 557.4904 | 3720.3530 | 7067.3281 | 21.809 | 45.853 | 11.463 | 4680.3271 |