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logs/attn_loss_fn=cos, attn_weight=2.0/events.out.tfevents.1723664510.93d6cbb3ad53 +3 -0

README.md CHANGED Viewed

@@ -16,13 +16,13 @@ This student model is distilled from the teacher model [gpt2](https://huggingfac
 The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
 It achieves the following results on the evaluation set:
-- eval_enwikippl: 212.2672
-- eval_frwikippl: 1352.8285
-- eval_zhwikippl: 811.8465
-- eval_loss: 1.2429
-- eval_runtime: 17.2351
-- eval_samples_per_second: 58.021
-- eval_steps_per_second: 7.253
 <!-- 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.
@@ -45,7 +45,7 @@ More information needed
 ### 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=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=2.0, loss_fn=mse, layer_mapper=None, projector=None))
 - train_embeddings: True
 - learning_rate: 4e-05
 - train_batch_size: 8
@@ -56,26 +56,26 @@ The following hyperparameters were used during training:
 - num_epochs: 1.0
 ### Resource Usage
-Peak GPU Memory: 8.2202 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 | 58954.875 | 57690.6602 | 5.9433 | 17.2113 | 58.101 | 7.263 | 54707.1133 |
-| 1000 | 0.0808 | 710.2846 | 4396.9824 | 1.9296 | 17.117 | 58.421 | 7.303 | 18078.0879 |
-| 2000 | 0.1616 | 503.9694 | 3086.3142 | 1.7454 | 17.2903 | 57.836 | 7.229 | 2703.2686 |
-| 3000 | 0.2424 | 420.6563 | 2955.9736 | 1.6378 | 17.2224 | 58.064 | 7.258 | 1477.8748 |
-| 4000 | 0.3232 | 367.0064 | 2704.3167 | 1.5544 | 17.2208 | 58.069 | 7.259 | 851.8279 |
-| 5000 | 0.4040 | 317.6482 | 2113.5315 | 1.4722 | 17.1418 | 58.337 | 7.292 | 1214.1425 |
-| 6000 | 0.4848 | 276.7272 | 1629.8280 | 1.3995 | 17.1258 | 58.392 | 7.299 | 813.5826 |
-| 7000 | 0.5657 | 250.8947 | 1553.0933 | 1.3412 | 17.2475 | 57.979 | 7.247 | 773.1216 |
-| 8000 | 0.6465 | 228.6603 | 1347.1174 | 1.2915 | 17.2115 | 58.101 | 7.263 | 716.5538 |
-| 9000 | 0.7273 | 212.2672 | 1352.8285 | 1.2429 | 17.2351 | 58.021 | 7.253 | 811.8465 |
-| 10000 | 0.8081 | 193.2158 | 1189.5732 | 1.1981 | 17.1888 | 58.177 | 7.272 | 670.6308 |
-| 11000 | 0.8889 | 178.6132 | 1058.1842 | 1.1502 | 17.2336 | 58.026 | 7.253 | 653.9169 |
-| 12000 | 0.9697 | 165.5636 | 977.5611 | 1.1143 | 17.2114 | 58.101 | 7.263 | 509.6881 |
-| 12375 | 1.0 | 160.1887 | 948.9035 | 1.0983 | 17.1765 | 58.219 | 7.277 | 518.8907 |
 ### Framework versions
 - Distily 0.2.0

 The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
 It achieves the following results on the evaluation set:
+- eval_enwikippl: 228.1461
+- eval_frwikippl: 1416.6694
+- eval_zhwikippl: 848.6490
+- eval_loss: 2.4667
+- eval_runtime: 17.2058
+- eval_samples_per_second: 58.12
+- eval_steps_per_second: 7.265
 <!-- 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.
 ### 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=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=2.0, loss_fn=cos, layer_mapper=None, projector=None))
 - train_embeddings: True
 - learning_rate: 4e-05
 - train_batch_size: 8
 - num_epochs: 1.0
 ### Resource Usage
+Peak GPU Memory: 8.2195 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 | 56797.875 | 58468.6992 | 8.0273 | 17.152 | 58.302 | 7.288 | 59002.2891 |
+| 1000 | 0.0808 | 797.1624 | 5157.9775 | 3.3194 | 17.2397 | 58.006 | 7.251 | 24401.0566 |
+| 2000 | 0.1616 | 567.0632 | 3629.1594 | 3.0871 | 17.1941 | 58.16 | 7.27 | 3184.9797 |
+| 3000 | 0.2424 | 464.5085 | 3017.8862 | 2.9667 | 17.2095 | 58.108 | 7.263 | 1129.6726 |
+| 4000 | 0.3232 | 401.2574 | 2690.6233 | 2.8541 | 17.2873 | 57.846 | 7.231 | 880.7457 |
+| 5000 | 0.4040 | 348.5625 | 2427.4329 | 2.7534 | 17.2981 | 57.81 | 7.226 | 1079.5291 |
+| 6000 | 0.4848 | 304.7929 | 2054.1772 | 2.6701 | 17.2106 | 58.104 | 7.263 | 904.3437 |
+| 7000 | 0.5657 | 277.6311 | 1738.0712 | 2.5931 | 17.2745 | 57.889 | 7.236 | 861.2068 |
+| 8000 | 0.6465 | 248.1049 | 1555.2847 | 2.5229 | 17.2275 | 58.047 | 7.256 | 875.1184 |
+| 9000 | 0.7273 | 228.1461 | 1416.6694 | 2.4667 | 17.2058 | 58.12 | 7.265 | 848.6490 |
+| 10000 | 0.8081 | 208.8987 | 1238.1790 | 2.4113 | 17.26 | 57.938 | 7.242 | 711.3105 |
+| 11000 | 0.8889 | 194.2086 | 1232.7786 | 2.3591 | 17.2456 | 57.986 | 7.248 | 517.6449 |
+| 12000 | 0.9697 | 175.7651 | 1108.7455 | 2.3060 | 17.3467 | 57.648 | 7.206 | 513.5140 |
+| 12375 | 1.0 | 170.5086 | 1069.4347 | 2.2860 | 17.2133 | 58.095 | 7.262 | 531.0175 |
 ### Framework versions
 - Distily 0.2.0

logs/attn_loss_fn=cos, attn_weight=2.0/events.out.tfevents.1723664510.93d6cbb3ad53 ADDED Viewed

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