Training in progress, step 15469
Browse files- README.md +19 -19
- logs/attn_loss_fn=raw_mse, attn_weight=10.0, hs_loss_fn=mse, hs_weight=10.0, learning_rate=0.0004/events.out.tfevents.1723762065.b7d545513dcf +3 -0
- logs/attn_loss_fn=raw_mse, attn_weight=10.0, hs_loss_fn=raw_mse, hs_weight=10.0, learning_rate=0.0004/events.out.tfevents.1723761879.b7d545513dcf +2 -2
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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@@ -15,14 +15,14 @@ This student model is distilled from the teacher model [roneneldan/TinyStories-3
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
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It achieves the following results on the evaluation set:
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- eval_enwikippl:
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- eval_frwikippl:
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- eval_zhwikippl:
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- eval_tinystoriesppl:
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- eval_loss:
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- eval_runtime:
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- eval_samples_per_second: 75.
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- eval_steps_per_second: 9.
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment.
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@@ -47,7 +47,7 @@ More information needed
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The following hyperparameters were used during training:
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- 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))
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- train_embeddings: True
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
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| 0 | 0 |
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| 2000 | 0.1293 |
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| 4000 | 0.2586 |
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| 6000 | 0.3879 |
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| 8000 | 0.5172 |
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| 10000 | 0.6465 |
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| 12000 | 0.7757 |
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| 14000 | 0.9050 |
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| 15469 | 1.0 |
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### Framework versions
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- Distily 0.2.0
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- Transformers 4.44.0
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- Pytorch 2.3.0
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- Datasets 2.
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
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It achieves the following results on the evaluation set:
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- eval_enwikippl: 5102.7344
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- eval_frwikippl: 36133.4453
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- eval_zhwikippl: 51745.4414
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- eval_tinystoriesppl: 1872.7611
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- eval_loss: 17.3780
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- eval_runtime: 33.2598
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- eval_samples_per_second: 75.166
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- eval_steps_per_second: 9.411
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment.
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The following hyperparameters were used during training:
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- 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))
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- train_embeddings: True
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- learning_rate: 0.0004
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
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| 0 | 0 | 27673.0234 | 72839.8984 | 19.1728 | 33.1089 | 75.508 | 9.454 | 16450.7617 | 62570.5625 |
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| 2000 | 0.1293 | 5104.3164 | 36174.1641 | 17.3784 | 33.2758 | 75.13 | 9.406 | 1874.0001 | 51745.4414 |
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| 4000 | 0.2586 | 5104.3164 | 36214.9648 | 17.3776 | 33.0549 | 75.632 | 9.469 | 1873.0709 | 51773.0352 |
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| 6000 | 0.3879 | 5104.3164 | 36133.4453 | 17.3784 | 33.0479 | 75.648 | 9.471 | 1874.3102 | 51717.8164 |
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| 8000 | 0.5172 | 5102.7344 | 36133.4453 | 17.3780 | 33.2598 | 75.166 | 9.411 | 1872.7611 | 51745.4414 |
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| 10000 | 0.6465 | 5105.8984 | 36133.4453 | 17.3784 | 33.2485 | 75.191 | 9.414 | 1875.8596 | 51745.4414 |
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| 12000 | 0.7757 | 5105.8984 | 36133.4453 | 17.3780 | 33.0133 | 75.727 | 9.481 | 1874.9297 | 51717.8164 |
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| 14000 | 0.9050 | 5104.3164 | 36214.9648 | 17.3776 | 33.2272 | 75.24 | 9.42 | 1872.7611 | 51745.4414 |
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| 15469 | 1.0 | 5104.3164 | 36133.4453 | 17.3784 | 33.002 | 75.753 | 9.484 | 1874.3102 | 51745.4414 |
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### Framework versions
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- Distily 0.2.0
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- Transformers 4.44.0
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- Pytorch 2.3.0
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- Datasets 2.21.0
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logs/attn_loss_fn=raw_mse, attn_weight=10.0, hs_loss_fn=mse, hs_weight=10.0, learning_rate=0.0004/events.out.tfevents.1723762065.b7d545513dcf
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