End of training

README.md

@@ -16,14 +16,14 @@ This student model is distilled from the teacher model [gpt2](https://huggingfac
 The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
 
 It achieves the following results on the evaluation set:
-- eval_enwikippl: 560.0
-- eval_frwikippl: 644.0
-- eval_zhwikippl: 488.0
-- eval_tinystoriesppl: 284.0
-- eval_loss: 0.6086
-- eval_runtime: 16.7587
-- eval_samples_per_second: 59.67
-- eval_steps_per_second: 7.459
+- eval_enwikippl: 99.0
+- eval_frwikippl: 408.0
+- eval_zhwikippl: 149.0
+- eval_tinystoriesppl: 74.5
+- eval_loss: 0.7768
+- eval_runtime: 16.7488
+- eval_samples_per_second: 59.706
+- eval_steps_per_second: 7.463
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment.
@@ -64,32 +64,32 @@ Peak GPU Memory: 7.4226 GB
 | step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | **teacher eval** |  | 43.75 | 61.75 |  |  |  |  | 11.8125 | 19.125 |
-| 0 | 0 | 1408749273088.0 | 96207267430400.0 | 20.4380 | 16.6447 | 60.079 | 7.51 | 7482638336.0 | 43430709297152.0 |
-| 1000 | 0.0404 | 1408.0 | 1432.0 | 0.8546 | 16.7128 | 59.835 | 7.479 | 788.0 | 1056.0 |
-| 2000 | 0.0808 | 988.0 | 928.0 | 0.7631 | 16.6827 | 59.942 | 7.493 | 520.0 | 302.0 |
-| 3000 | 0.1212 | 836.0 | 760.0 | 0.7155 | 16.633 | 60.121 | 7.515 | 402.0 | 196.0 |
-| 4000 | 0.1616 | 732.0 | 676.0 | 0.6800 | 16.6836 | 59.939 | 7.492 | 378.0 | 157.0 |
-| 5000 | 0.2020 | 676.0 | 668.0 | 0.6574 | 16.6514 | 60.055 | 7.507 | 322.0 | 227.0 |
-| 6000 | 0.2424 | 648.0 | 732.0 | 0.6383 | 16.6833 | 59.94 | 7.493 | 286.0 | 190.0 |
-| 7000 | 0.2828 | 612.0 | 632.0 | 0.6373 | 16.8106 | 59.486 | 7.436 | 286.0 | 169.0 |
-| 8000 | 0.3232 | 588.0 | 704.0 | 0.6243 | 16.6588 | 60.028 | 7.504 | 266.0 | 596.0 |
-| 9000 | 0.3636 | 560.0 | 644.0 | 0.6086 | 16.7587 | 59.67 | 7.459 | 284.0 | 488.0 |
-| 10000 | 0.4040 | 532.0 | 564.0 | 0.5994 | 16.6696 | 59.989 | 7.499 | 256.0 | 142.0 |
-| 11000 | 0.4444 | 544.0 | 628.0 | 0.5916 | 16.7004 | 59.879 | 7.485 | 252.0 | 153.0 |
-| 12000 | 0.4848 | 540.0 | 612.0 | 0.5828 | 16.7602 | 59.665 | 7.458 | 252.0 | 568.0 |
-| 13000 | 0.5253 | 528.0 | 612.0 | 0.5735 | 16.6596 | 60.025 | 7.503 | 260.0 | 160.0 |
-| 14000 | 0.5657 | 528.0 | 576.0 | 0.5628 | 16.7207 | 59.806 | 7.476 | 246.0 | 250.0 |
-| 15000 | 0.6061 | 478.0 | 524.0 | 0.5511 | 16.736 | 59.752 | 7.469 | 232.0 | 170.0 |
-| 16000 | 0.6465 | 442.0 | 552.0 | 0.5270 | 16.7225 | 59.8 | 7.475 | 228.0 | 214.0 |
-| 17000 | 0.6869 | 420.0 | 524.0 | 0.4692 | 16.6506 | 60.058 | 7.507 | 212.0 | 174.0 |
-| 18000 | 0.7273 | 384.0 | 478.0 | 0.4115 | 16.7225 | 59.8 | 7.475 | 208.0 | 144.0 |
-| 19000 | 0.7677 | 362.0 | 400.0 | 0.3610 | 16.6691 | 59.991 | 7.499 | 195.0 | 128.0 |
-| 20000 | 0.8081 | 344.0 | 346.0 | 0.3370 | 16.6695 | 59.99 | 7.499 | 184.0 | 107.5 |
-| 21000 | 0.8485 | 306.0 | 302.0 | 0.3061 | 16.7054 | 59.861 | 7.483 | 161.0 | 110.5 |
-| 22000 | 0.8889 | 300.0 | 318.0 | 0.2974 | 16.6709 | 59.985 | 7.498 | 160.0 | 84.0 |
-| 23000 | 0.9293 | 290.0 | 298.0 | 0.2890 | 16.7049 | 59.863 | 7.483 | 162.0 | 103.0 |
-| 24000 | 0.9697 | 300.0 | 290.0 | 0.2970 | 16.6771 | 59.963 | 7.495 | 164.0 | 85.5 |
-| 24750 | 1.0 | 280.0 | 290.0 | 0.2782 | 16.74 | 59.737 | 7.467 | 162.0 | 91.5 |
+| 0 | 0 | 10027008.0 | 5734400.0 | 11.3280 | 16.7303 | 59.772 | 7.471 | 5865472.0 | 3637248.0 |
+| 1000 | 0.0404 | 382.0 | 2016.0 | 1.6270 | 16.7162 | 59.822 | 7.478 | 298.0 | 1200.0 |
+| 2000 | 0.0808 | 270.0 | 988.0 | 1.4340 | 16.7294 | 59.775 | 7.472 | 227.0 | 390.0 |
+| 3000 | 0.1212 | 218.0 | 736.0 | 1.2960 | 16.686 | 59.931 | 7.491 | 185.0 | 239.0 |
+| 4000 | 0.1616 | 182.0 | 708.0 | 1.1629 | 16.7199 | 59.809 | 7.476 | 144.0 | 213.0 |
+| 5000 | 0.2020 | 155.0 | 620.0 | 1.0601 | 16.7539 | 59.688 | 7.461 | 117.0 | 230.0 |
+| 6000 | 0.2424 | 131.0 | 496.0 | 0.9643 | 16.7329 | 59.763 | 7.47 | 104.5 | 193.0 |
+| 7000 | 0.2828 | 122.0 | 512.0 | 0.9001 | 16.7515 | 59.696 | 7.462 | 91.5 | 193.0 |
+| 8000 | 0.3232 | 111.5 | 428.0 | 0.8336 | 16.677 | 59.963 | 7.495 | 82.5 | 161.0 |
+| 9000 | 0.3636 | 99.0 | 408.0 | 0.7768 | 16.7488 | 59.706 | 7.463 | 74.5 | 149.0 |
+| 10000 | 0.4040 | 89.5 | 386.0 | 0.7219 | 16.6219 | 60.162 | 7.52 | 71.5 | 140.0 |
+| 11000 | 0.4444 | 82.5 | 332.0 | 0.6595 | 16.6753 | 59.969 | 7.496 | 67.0 | 148.0 |
+| 12000 | 0.4848 | 78.0 | 300.0 | 0.6302 | 16.6631 | 60.013 | 7.502 | 60.75 | 131.0 |
+| 13000 | 0.5253 | 73.5 | 292.0 | 0.6019 | 16.7166 | 59.821 | 7.478 | 59.5 | 117.0 |
+| 14000 | 0.5657 | 75.0 | 284.0 | 0.5861 | 16.7002 | 59.88 | 7.485 | 59.5 | 137.0 |
+| 15000 | 0.6061 | 71.5 | 252.0 | 0.5722 | 16.6732 | 59.976 | 7.497 | 55.25 | 130.0 |
+| 16000 | 0.6465 | 70.0 | 250.0 | 0.5545 | 16.6934 | 59.904 | 7.488 | 57.75 | 104.5 |
+| 17000 | 0.6869 | 70.0 | 272.0 | 0.5426 | 16.6888 | 59.92 | 7.49 | 55.5 | 130.0 |
+| 18000 | 0.7273 | 70.0 | 248.0 | 0.5380 | 16.6762 | 59.966 | 7.496 | 53.75 | 124.0 |
+| 19000 | 0.7677 | 68.5 | 227.0 | 0.5270 | 16.6682 | 59.994 | 7.499 | 53.5 | 96.5 |
+| 20000 | 0.8081 | 65.5 | 219.0 | 0.5260 | 16.6778 | 59.96 | 7.495 | 52.0 | 129.0 |
+| 21000 | 0.8485 | 68.0 | 228.0 | 0.5154 | 16.7388 | 59.741 | 7.468 | 52.0 | 140.0 |
+| 22000 | 0.8889 | 68.5 | 246.0 | 0.5128 | 16.6637 | 60.011 | 7.501 | 51.75 | 216.0 |
+| 23000 | 0.9293 | 64.5 | 245.0 | 0.5029 | 16.7201 | 59.808 | 7.476 | 52.5 | 146.0 |
+| 24000 | 0.9697 | 66.5 | 230.0 | 0.5067 | 16.7059 | 59.859 | 7.482 | 51.25 | 168.0 |
+| 24750 | 1.0 | 65.5 | 228.0 | 0.5042 | 16.685 | 59.934 | 7.492 | 51.25 | 100.5 |
 
 ### Framework versions
 - Distily 0.2.0

logs/learning_rate=0.0001, per_device_train_batch_size=4, reinitialize_weights=xavier/events.out.tfevents.1724150220.02dbb11e2dcc

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bb7329b5173b222d9c393db25fc2c40bb0e0782c81dbf367ca90e89f1ad8249
+size 312