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: 24580.0566
+- eval_frwikippl: 58429.5703
+- eval_zhwikippl: 90638.1875
+- eval_tinystoriesppl: 13633.8428
+- eval_loss: 18.8988
+- eval_runtime: 32.6253
+- eval_samples_per_second: 76.628
+- eval_steps_per_second: 9.594
 
 <!-- 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: 4e-05
 - 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 | 30500.8262 | 64429.8789 | 19.1222 | 32.5358 | 76.838 | 9.62 | 17883.2402 | 92396.1641 |
+| 2000 | 0.1293 | 24580.0566 | 58429.5703 | 18.8980 | 32.4735 | 76.986 | 9.639 | 13633.8428 | 90638.1875 |
+| 4000 | 0.2586 | 24580.0566 | 58429.5703 | 18.8980 | 32.5203 | 76.875 | 9.625 | 13633.8428 | 90638.1875 |
+| 6000 | 0.3879 | 24580.0566 | 58429.5703 | 18.8988 | 32.628 | 76.621 | 9.593 | 13633.8428 | 90638.1875 |
+| 8000 | 0.5172 | 24580.0566 | 58429.5703 | 18.8988 | 32.6253 | 76.628 | 9.594 | 13633.8428 | 90638.1875 |
+| 10000 | 0.6465 | 24580.0566 | 58429.5703 | 18.8988 | 32.4883 | 76.951 | 9.634 | 13633.8428 | 90638.1875 |
+| 12000 | 0.7757 | 24580.0566 | 58429.5703 | 18.8980 | 32.4949 | 76.935 | 9.632 | 13633.8428 | 90638.1875 |
+| 14000 | 0.9050 | 24580.0566 | 58429.5703 | 18.8988 | 32.507 | 76.906 | 9.629 | 13633.8428 | 90638.1875 |
+| 15469 | 1.0 | 24580.0566 | 58429.5703 | 18.8988 | 32.6353 | 76.604 | 9.591 | 13633.8428 | 90638.1875 |
 
 ### 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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