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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 +19 -19
  2. logs/hs_layer_mapper=uniform_cons, hs_loss_fn=cos, hs_weight=1.0/events.out.tfevents.1724126031.f383272e719b +3 -0
README.md CHANGED
@@ -17,13 +17,13 @@ The [Distily](https://github.com/lapp0/distily) library was used for this distil
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  It achieves the following results on the evaluation set:
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  - eval_enwikippl: 1376.0
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- - eval_frwikippl: 5856.0
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- - eval_zhwikippl: 111104.0
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- - eval_tinystoriesppl: 964.0
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- - eval_loss: 3.1072
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- - eval_runtime: 12.9331
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- - eval_samples_per_second: 46.392
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- - eval_steps_per_second: 11.598
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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=cos, layer_mapper=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
@@ -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 | 20.2008 | 12.9107 | 46.473 | 11.618 | 12079595520.0 | 98956046499840.0 |
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- | 750 | 0.1010 | 1376.0 | 5856.0 | 3.1072 | 12.9331 | 46.392 | 11.598 | 964.0 | 111104.0 |
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- | 1500 | 0.2020 | 580.0 | 3600.0 | 2.2189 | 12.9266 | 46.416 | 11.604 | 438.0 | 1020.0 |
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- | 2250 | 0.3030 | 376.0 | 1904.0 | 1.9249 | 12.9295 | 46.405 | 11.601 | 312.0 | 374.0 |
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- | 3000 | 0.4040 | 268.0 | 1080.0 | 1.6655 | 12.9091 | 46.479 | 11.62 | 238.0 | 208.0 |
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- | 3750 | 0.5051 | 211.0 | 732.0 | 1.4810 | 12.9336 | 46.391 | 11.598 | 172.0 | 217.0 |
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- | 4500 | 0.6061 | 167.0 | 580.0 | 1.2985 | 12.9202 | 46.439 | 11.61 | 143.0 | 146.0 |
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- | 5250 | 0.7071 | 135.0 | 486.0 | 1.1339 | 12.9225 | 46.431 | 11.608 | 112.5 | 133.0 |
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- | 6000 | 0.8081 | 124.5 | 452.0 | 1.0647 | 12.9107 | 46.473 | 11.618 | 101.5 | 125.5 |
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- | 6750 | 0.9091 | 118.5 | 436.0 | 1.0324 | 12.9153 | 46.456 | 11.614 | 97.5 | 120.0 |
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- | 7425 | 1.0 | 117.5 | 432.0 | 1.0264 | 13.1576 | 45.601 | 11.4 | 95.5 | 118.5 |
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  ### Framework versions
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  - Distily 0.2.0
 
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  It achieves the following results on the evaluation set:
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  - eval_enwikippl: 1376.0
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+ - eval_frwikippl: 5824.0
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+ - eval_zhwikippl: 101888.0
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+ - eval_tinystoriesppl: 972.0
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+ - eval_loss: 3.1064
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+ - eval_runtime: 12.9246
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+ - eval_samples_per_second: 46.423
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+ - eval_steps_per_second: 11.606
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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=cos, 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
 
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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 | 20.2008 | 12.884 | 46.569 | 11.642 | 12079595520.0 | 98956046499840.0 |
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+ | 750 | 0.1010 | 1376.0 | 5824.0 | 3.1064 | 12.9246 | 46.423 | 11.606 | 972.0 | 101888.0 |
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+ | 1500 | 0.2020 | 584.0 | 3552.0 | 2.2186 | 12.958 | 46.304 | 11.576 | 438.0 | 1012.0 |
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+ | 2250 | 0.3030 | 376.0 | 1888.0 | 1.9252 | 12.9544 | 46.316 | 11.579 | 312.0 | 366.0 |
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+ | 3000 | 0.4040 | 266.0 | 1072.0 | 1.6667 | 13.0268 | 46.059 | 11.515 | 227.0 | 203.0 |
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+ | 3750 | 0.5051 | 211.0 | 736.0 | 1.4766 | 12.9492 | 46.335 | 11.584 | 175.0 | 233.0 |
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+ | 4500 | 0.6061 | 171.0 | 588.0 | 1.2986 | 13.0596 | 45.943 | 11.486 | 141.0 | 147.0 |
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+ | 5250 | 0.7071 | 134.0 | 480.0 | 1.1348 | 12.9613 | 46.292 | 11.573 | 110.5 | 154.0 |
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+ | 6000 | 0.8081 | 125.0 | 456.0 | 1.0662 | 12.9543 | 46.317 | 11.579 | 100.0 | 129.0 |
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+ | 6750 | 0.9091 | 119.0 | 440.0 | 1.0325 | 12.9319 | 46.397 | 11.599 | 96.0 | 122.5 |
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+ | 7425 | 1.0 | 118.0 | 436.0 | 1.0267 | 12.9764 | 46.238 | 11.559 | 94.5 | 122.0 |
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  ### Framework versions
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  - Distily 0.2.0
logs/hs_layer_mapper=uniform_cons, hs_loss_fn=cos, hs_weight=1.0/events.out.tfevents.1724126031.f383272e719b ADDED
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