End of training

README.md

@@ -16,13 +16,13 @@ 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: 228.1461
-- eval_frwikippl: 1416.6694
-- eval_zhwikippl: 848.6490
-- eval_loss: 2.4667
-- eval_runtime: 17.2058
-- eval_samples_per_second: 58.12
-- eval_steps_per_second: 7.265
+- eval_enwikippl: 207.4599
+- eval_frwikippl: 1342.3768
+- eval_zhwikippl: 657.2436
+- eval_loss: 1.3331
+- eval_runtime: 17.3049
+- eval_samples_per_second: 57.787
+- eval_steps_per_second: 7.223
 
 <!-- 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.
@@ -45,7 +45,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- distillation_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=2.0, loss_fn=cos, layer_mapper=None, projector=None))
+- distillation_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=2.0, loss_fn=kl, layer_mapper=None, projector=None))
 - train_embeddings: True
 - learning_rate: 4e-05
 - train_batch_size: 8
@@ -62,20 +62,20 @@ Peak GPU Memory: 8.2195 GB
 | step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | **teacher eval** |  | 30.2086 | 57.2728 |  |  |  |  | 18.1784 |
-| 0 | 0 | 56797.875 | 58468.6992 | 8.0273 | 17.152 | 58.302 | 7.288 | 59002.2891 |
-| 1000 | 0.0808 | 797.1624 | 5157.9775 | 3.3194 | 17.2397 | 58.006 | 7.251 | 24401.0566 |
-| 2000 | 0.1616 | 567.0632 | 3629.1594 | 3.0871 | 17.1941 | 58.16 | 7.27 | 3184.9797 |
-| 3000 | 0.2424 | 464.5085 | 3017.8862 | 2.9667 | 17.2095 | 58.108 | 7.263 | 1129.6726 |
-| 4000 | 0.3232 | 401.2574 | 2690.6233 | 2.8541 | 17.2873 | 57.846 | 7.231 | 880.7457 |
-| 5000 | 0.4040 | 348.5625 | 2427.4329 | 2.7534 | 17.2981 | 57.81 | 7.226 | 1079.5291 |
-| 6000 | 0.4848 | 304.7929 | 2054.1772 | 2.6701 | 17.2106 | 58.104 | 7.263 | 904.3437 |
-| 7000 | 0.5657 | 277.6311 | 1738.0712 | 2.5931 | 17.2745 | 57.889 | 7.236 | 861.2068 |
-| 8000 | 0.6465 | 248.1049 | 1555.2847 | 2.5229 | 17.2275 | 58.047 | 7.256 | 875.1184 |
-| 9000 | 0.7273 | 228.1461 | 1416.6694 | 2.4667 | 17.2058 | 58.12 | 7.265 | 848.6490 |
-| 10000 | 0.8081 | 208.8987 | 1238.1790 | 2.4113 | 17.26 | 57.938 | 7.242 | 711.3105 |
-| 11000 | 0.8889 | 194.2086 | 1232.7786 | 2.3591 | 17.2456 | 57.986 | 7.248 | 517.6449 |
-| 12000 | 0.9697 | 175.7651 | 1108.7455 | 2.3060 | 17.3467 | 57.648 | 7.206 | 513.5140 |
-| 12375 | 1.0 | 170.5086 | 1069.4347 | 2.2860 | 17.2133 | 58.095 | 7.262 | 531.0175 |
+| 0 | 0 | 55429.6875 | 57698.8047 | 6.1743 | 17.396 | 57.484 | 7.186 | 56988.9141 |
+| 1000 | 0.0808 | 682.2277 | 4513.8320 | 2.0387 | 17.3415 | 57.665 | 7.208 | 21742.0879 |
+| 2000 | 0.1616 | 493.2831 | 3192.1013 | 1.8548 | 17.3304 | 57.702 | 7.213 | 1917.9761 |
+| 3000 | 0.2424 | 408.6152 | 2650.7046 | 1.7483 | 17.3279 | 57.71 | 7.214 | 937.2945 |
+| 4000 | 0.3232 | 362.1653 | 2422.9863 | 1.6582 | 17.3944 | 57.49 | 7.186 | 807.3055 |
+| 5000 | 0.4040 | 311.0092 | 2075.7251 | 1.5707 | 17.3884 | 57.51 | 7.189 | 967.0451 |
+| 6000 | 0.4848 | 271.9341 | 1744.2100 | 1.4998 | 17.372 | 57.564 | 7.195 | 798.9407 |
+| 7000 | 0.5657 | 249.6316 | 1538.4886 | 1.4376 | 17.3071 | 57.78 | 7.222 | 768.1817 |
+| 8000 | 0.6465 | 225.5740 | 1397.4233 | 1.3836 | 17.3097 | 57.771 | 7.221 | 701.6876 |
+| 9000 | 0.7273 | 207.4599 | 1342.3768 | 1.3331 | 17.3049 | 57.787 | 7.223 | 657.2436 |
+| 10000 | 0.8081 | 189.0748 | 1151.9358 | 1.2846 | 17.3724 | 57.563 | 7.195 | 561.3511 |
+| 11000 | 0.8889 | 173.5948 | 1120.0602 | 1.2337 | 17.3912 | 57.5 | 7.188 | 488.3670 |
+| 12000 | 0.9697 | 157.5976 | 1006.0906 | 1.1896 | 17.3686 | 57.575 | 7.197 | 640.5209 |
+| 12375 | 1.0 | 156.4636 | 960.7520 | 1.1773 | 17.446 | 57.32 | 7.165 | 627.6509 |
 
 ### Framework versions
 - Distily 0.2.0

logs/attn_loss_fn=kl, attn_weight=2.0/events.out.tfevents.1723668499.93d6cbb3ad53

@@ -0,0 +1,3 @@
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+size 249