Training in progress, step 15469

README.md

@@ -15,14 +15,14 @@ This student model is distilled from the teacher model [roneneldan/TinyStories-3
 The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
 
 It achieves the following results on the evaluation set:
-- eval_enwikippl: 12623.7412
-- eval_frwikippl: 52327.9961
-- eval_zhwikippl: 96451.4609
-- eval_tinystoriesppl: 6281.7222
-- eval_loss: 18.2212
-- eval_runtime: 32.9567
-- eval_samples_per_second: 75.857
-- eval_steps_per_second: 9.497
+- eval_enwikippl: 5102.7344
+- eval_frwikippl: 36133.4453
+- eval_zhwikippl: 51745.4414
+- eval_tinystoriesppl: 1872.7611
+- eval_loss: 17.3780
+- eval_runtime: 33.2598
+- eval_samples_per_second: 75.166
+- eval_steps_per_second: 9.411
 
 <!-- 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.
@@ -47,7 +47,7 @@ More information needed
 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=10.0, loss_fn=raw_mse, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=raw_mse, layer_mapper=None, projector=None))
 - train_embeddings: True
-- learning_rate: 4e-06
+- learning_rate: 0.0004
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -62,18 +62,18 @@ Peak GPU Memory: 16.2498 GB
 | step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | **teacher eval** |  | 169.9865 | 47377.9414 |  |  |  |  | 3.9789 | 4998.1294 |
-| 0 | 0 | 12930.5508 | 52883.7109 | 18.2508 | 32.8136 | 76.188 | 9.539 | 6471.4722 | 96760.75 |
-| 2000 | 0.1293 | 12623.7412 | 52327.9961 | 18.2212 | 32.8936 | 76.003 | 9.516 | 6281.7222 | 96451.4609 |
-| 4000 | 0.2586 | 12623.7412 | 52327.9961 | 18.2212 | 32.8034 | 76.212 | 9.542 | 6281.7222 | 96451.4609 |
-| 6000 | 0.3879 | 12623.7412 | 52327.9961 | 18.2212 | 32.8868 | 76.018 | 9.517 | 6281.7222 | 96451.4609 |
-| 8000 | 0.5172 | 12623.7412 | 52327.9961 | 18.2212 | 32.9567 | 75.857 | 9.497 | 6281.7222 | 96451.4609 |
-| 10000 | 0.6465 | 12623.7412 | 52327.9961 | 18.2212 | 32.9256 | 75.929 | 9.506 | 6281.7222 | 96451.4609 |
-| 12000 | 0.7757 | 12623.7412 | 52327.9961 | 18.2212 | 32.9173 | 75.948 | 9.509 | 6281.7222 | 96451.4609 |
-| 14000 | 0.9050 | 12623.7412 | 52327.9961 | 18.2212 | 33.1691 | 75.371 | 9.437 | 6281.7222 | 96451.4609 |
-| 15469 | 1.0 | 12623.7412 | 52327.9961 | 18.2212 | 33.0829 | 75.568 | 9.461 | 6281.7222 | 96451.4609 |
+| 0 | 0 | 27673.0234 | 72839.8984 | 19.1728 | 33.1089 | 75.508 | 9.454 | 16450.7617 | 62570.5625 |
+| 2000 | 0.1293 | 5104.3164 | 36174.1641 | 17.3784 | 33.2758 | 75.13 | 9.406 | 1874.0001 | 51745.4414 |
+| 4000 | 0.2586 | 5104.3164 | 36214.9648 | 17.3776 | 33.0549 | 75.632 | 9.469 | 1873.0709 | 51773.0352 |
+| 6000 | 0.3879 | 5104.3164 | 36133.4453 | 17.3784 | 33.0479 | 75.648 | 9.471 | 1874.3102 | 51717.8164 |
+| 8000 | 0.5172 | 5102.7344 | 36133.4453 | 17.3780 | 33.2598 | 75.166 | 9.411 | 1872.7611 | 51745.4414 |
+| 10000 | 0.6465 | 5105.8984 | 36133.4453 | 17.3784 | 33.2485 | 75.191 | 9.414 | 1875.8596 | 51745.4414 |
+| 12000 | 0.7757 | 5105.8984 | 36133.4453 | 17.3780 | 33.0133 | 75.727 | 9.481 | 1874.9297 | 51717.8164 |
+| 14000 | 0.9050 | 5104.3164 | 36214.9648 | 17.3776 | 33.2272 | 75.24 | 9.42 | 1872.7611 | 51745.4414 |
+| 15469 | 1.0 | 5104.3164 | 36133.4453 | 17.3784 | 33.002 | 75.753 | 9.484 | 1874.3102 | 51745.4414 |
 
 ### Framework versions
 - Distily 0.2.0
 - Transformers 4.44.0
 - Pytorch 2.3.0
-- Datasets 2.20.0
+- Datasets 2.21.0

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