End of training

README.md

@@ -1,6 +1,7 @@
 ---
-license: mit
 base_model: gpt2
+library_name: Distily
+license: mit
 tags:
 - generated_from_trainer
 model-index:
@@ -8,14 +9,23 @@ model-index:
   results: []
 ---
 
-<!-- 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. -->
-
 # distily_bench_gpt2_activation_loss_b
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+This student model is distilled from the teacher model [gpt2](https://huggingface.co/gpt2) using the dataset (unspecified).
+
+The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
+
 It achieves the following results on the evaluation set:
-- Loss: 1.1156
+- eval_enwikippl: 210.2820
+- eval_frwikippl: 1274.1346
+- eval_zhwikippl: 583.2827
+- eval_loss: 1.2965
+- eval_runtime: 17.2526
+- eval_samples_per_second: 57.962
+- eval_steps_per_second: 7.245
+
+<!-- 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.
 
 ## Model description
 
@@ -28,12 +38,15 @@ More information needed
 ## Training and evaluation data
 
 More information needed
+-->
 
 ## Training procedure
 
 ### Training hyperparameters
 
 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=2.0, loss_fn=mse, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
+- train_embeddings: True
 - learning_rate: 4e-05
 - train_batch_size: 8
 - eval_batch_size: 8
@@ -42,28 +55,30 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: constant
 - num_epochs: 1.0
 
-### Training results
-
-| Training Loss | Epoch  | Step  | Validation Loss |
-|:-------------:|:------:|:-----:|:---------------:|
-| No log        | 0      | 0     | 6.0052          |
-| 1.8938        | 0.0808 | 1000  | 1.9915          |
-| 1.7378        | 0.1616 | 2000  | 1.8007          |
-| 1.7337        | 0.2424 | 3000  | 1.6868          |
-| 1.5761        | 0.3232 | 4000  | 1.5975          |
-| 1.5284        | 0.4040 | 5000  | 1.5055          |
-| 1.3739        | 0.4848 | 6000  | 1.4362          |
-| 1.4322        | 0.5657 | 7000  | 1.3724          |
-| 1.3508        | 0.6465 | 8000  | 1.3171          |
-| 1.3875        | 0.7273 | 9000  | 1.2684          |
-| 1.3039        | 0.8081 | 10000 | 1.2160          |
-| 1.2591        | 0.8889 | 11000 | 1.1656          |
-| 1.2144        | 0.9697 | 12000 | 1.1263          |
-
+### Resource Usage
+Peak GPU Memory: 8.0904 GB
+
+### Eval-Phase Metrics
+| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| **teacher eval** |  | 30.2086 | 57.2728 |  |  |  |  | 18.1784 |
+| 0 | 0 | 58037.3203 | 58017.0117 | 6.0237 | 17.2607 | 57.935 | 7.242 | 56038.0625 |
+| 1000 | 0.0808 | 715.0994 | 4658.6846 | 2.0131 | 17.1734 | 58.23 | 7.279 | 16350.8623 |
+| 2000 | 0.1616 | 508.9246 | 3343.2109 | 1.8201 | 17.2004 | 58.138 | 7.267 | 3102.6990 |
+| 3000 | 0.2424 | 419.7101 | 2552.4004 | 1.7020 | 17.1441 | 58.329 | 7.291 | 1042.4126 |
+| 4000 | 0.3232 | 361.0421 | 2336.7490 | 1.6177 | 17.0616 | 58.611 | 7.326 | 911.8621 |
+| 5000 | 0.4040 | 313.2633 | 1815.2219 | 1.5316 | 17.1786 | 58.212 | 7.276 | 863.9713 |
+| 6000 | 0.4848 | 281.3860 | 1725.1301 | 1.4597 | 17.3168 | 57.747 | 7.218 | 705.6341 |
+| 7000 | 0.5657 | 253.9131 | 1485.6165 | 1.3999 | 17.1434 | 58.332 | 7.291 | 605.2624 |
+| 8000 | 0.6465 | 229.4073 | 1427.2965 | 1.3455 | 17.134 | 58.363 | 7.295 | 629.6656 |
+| 9000 | 0.7273 | 210.2820 | 1274.1346 | 1.2965 | 17.2526 | 57.962 | 7.245 | 583.2827 |
+| 10000 | 0.8081 | 194.6313 | 1199.3423 | 1.2490 | 17.1679 | 58.248 | 7.281 | 677.5621 |
+| 11000 | 0.8889 | 180.3274 | 1160.25 | 1.1980 | 17.1591 | 58.278 | 7.285 | 758.1945 |
+| 12000 | 0.9697 | 164.7045 | 1005.8066 | 1.1583 | 17.1824 | 58.199 | 7.275 | 600.1918 |
+| 12375 | 1.0 | 161.0243 | 969.7354 | 1.1403 | 17.1939 | 58.16 | 7.27 | 632.9536 |
 
 ### Framework versions
-
+- Distily 0.2.0
 - Transformers 4.44.0
 - Pytorch 2.3.0
 - Datasets 2.21.0
-- Tokenizers 0.19.1

logs/hs_loss_fn=mse, hs_weight=2.0/events.out.tfevents.1723659736.5f530b1cf724

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