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lapp0
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distily_bench_obj_cross_v2.13_gpt2

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gpt2
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End of training

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  1. README.md +17 -17
  2. logs/hs_layer_mapper=uniform_last, hs_loss_fn=mse, hs_weight=1.0/events.out.tfevents.1724116066.f383272e719b +3 -0
README.md CHANGED
@@ -16,14 +16,14 @@ This student model is distilled from the teacher model [gpt2](https://huggingfac
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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: 1280.0
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  - eval_frwikippl: 5952.0
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  - eval_zhwikippl: 45056.0
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  - eval_tinystoriesppl: 816.0
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- - eval_loss: 2.4587
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- - eval_runtime: 12.9968
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- - eval_samples_per_second: 46.165
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- - eval_steps_per_second: 11.541
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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.
@@ -46,7 +46,7 @@ More information needed
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  ### Training hyperparameters
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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=1.0, loss_fn=mse, layer_mapper=uniform_cons, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
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  - train_embeddings: True
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  - learning_rate: 0.0001
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  - train_batch_size: 8
@@ -64,17 +64,17 @@ Peak GPU Memory: 8.0905 GB
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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** | | 43.75 | 61.75 | | | | | 11.8125 | 19.125 |
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- | 0 | 0 | 1821066133504.0 | 158329674399744.0 | 19.3254 | 13.0242 | 46.068 | 11.517 | 12079595520.0 | 98956046499840.0 |
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- | 750 | 0.1010 | 1280.0 | 5952.0 | 2.4587 | 12.9968 | 46.165 | 11.541 | 816.0 | 45056.0 |
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- | 1500 | 0.2020 | 506.0 | 3248.0 | 1.7942 | 13.0259 | 46.062 | 11.515 | 352.0 | 736.0 |
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- | 2250 | 0.3030 | 338.0 | 1624.0 | 1.5654 | 13.2237 | 45.373 | 11.343 | 278.0 | 306.0 |
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- | 3000 | 0.4040 | 241.0 | 920.0 | 1.3552 | 13.084 | 45.857 | 11.464 | 210.0 | 186.0 |
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- | 3750 | 0.5051 | 200.0 | 624.0 | 1.2059 | 13.1502 | 45.627 | 11.407 | 169.0 | 175.0 |
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- | 4500 | 0.6061 | 159.0 | 510.0 | 1.0607 | 12.9758 | 46.24 | 11.56 | 128.0 | 173.0 |
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- | 5250 | 0.7071 | 128.0 | 464.0 | 0.9374 | 13.0443 | 45.997 | 11.499 | 106.0 | 130.0 |
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- | 6000 | 0.8081 | 117.5 | 414.0 | 0.8786 | 12.9003 | 46.51 | 11.628 | 96.0 | 129.0 |
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- | 6750 | 0.9091 | 112.5 | 398.0 | 0.8508 | 12.8837 | 46.571 | 11.643 | 93.0 | 125.0 |
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- | 7425 | 1.0 | 112.0 | 396.0 | 0.8456 | 12.9485 | 46.337 | 11.584 | 91.5 | 125.0 |
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  ### Framework versions
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  - Distily 0.2.0
 
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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: 1272.0
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  - eval_frwikippl: 5952.0
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  - eval_zhwikippl: 45056.0
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  - eval_tinystoriesppl: 816.0
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+ - eval_loss: 2.4585
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+ - eval_runtime: 13.0264
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+ - eval_samples_per_second: 46.06
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+ - eval_steps_per_second: 11.515
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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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  ### Training hyperparameters
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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=1.0, loss_fn=mse, layer_mapper=uniform+last, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
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  - train_embeddings: True
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  - learning_rate: 0.0001
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  - train_batch_size: 8
 
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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** | | 43.75 | 61.75 | | | | | 11.8125 | 19.125 |
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+ | 0 | 0 | 1821066133504.0 | 158329674399744.0 | 19.3254 | 13.0759 | 45.886 | 11.471 | 12079595520.0 | 98956046499840.0 |
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+ | 750 | 0.1010 | 1272.0 | 5952.0 | 2.4585 | 13.0264 | 46.06 | 11.515 | 816.0 | 45056.0 |
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+ | 1500 | 0.2020 | 508.0 | 3248.0 | 1.7942 | 12.914 | 46.461 | 11.615 | 352.0 | 736.0 |
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+ | 2250 | 0.3030 | 338.0 | 1624.0 | 1.5662 | 12.8953 | 46.528 | 11.632 | 276.0 | 306.0 |
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+ | 3000 | 0.4040 | 241.0 | 916.0 | 1.3553 | 12.9278 | 46.412 | 11.603 | 209.0 | 186.0 |
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+ | 3750 | 0.5051 | 200.0 | 628.0 | 1.2057 | 12.8882 | 46.554 | 11.639 | 169.0 | 174.0 |
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+ | 4500 | 0.6061 | 158.0 | 512.0 | 1.0599 | 12.8875 | 46.557 | 11.639 | 129.0 | 171.0 |
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+ | 5250 | 0.7071 | 128.0 | 460.0 | 0.9376 | 12.9282 | 46.41 | 11.603 | 106.5 | 133.0 |
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+ | 6000 | 0.8081 | 118.0 | 416.0 | 0.8788 | 12.8993 | 46.514 | 11.629 | 96.5 | 130.0 |
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+ | 6750 | 0.9091 | 112.5 | 400.0 | 0.8508 | 13.0134 | 46.106 | 11.527 | 92.5 | 126.5 |
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+ | 7425 | 1.0 | 112.0 | 396.0 | 0.8455 | 12.9043 | 46.496 | 11.624 | 91.0 | 126.0 |
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  ### Framework versions
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  - Distily 0.2.0
logs/hs_layer_mapper=uniform_last, hs_loss_fn=mse, hs_weight=1.0/events.out.tfevents.1724116066.f383272e719b ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fbca2c6378da9441a6b83e35c26beae176c10feb2b6c4f5d3147af16abd9b1cc
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+ size 578