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distily_projector_experiment

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Distily
gpt2
bitnet
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  1. README.md +29 -29
  2. logs/attn_loss_fn=raw_mse, attn_weight=10.0, projector=mlp/events.out.tfevents.1724330847.f383272e719b +3 -0
README.md CHANGED
@@ -44,32 +44,32 @@ More information needed
44
  | step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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  | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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  | **teacher eval** | | 43.25 | 61.25 | | | | | 11.6875 | 19.125 |
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- | 0 | 0 | 2473901162496.0 | 170424302305280.0 | 30.7740 | 30.8629 | 81.003 | 10.142 | 4060086272.0 | 71468255805440.0 |
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- | 2500 | 0.0404 | 1176.0 | 11520.0 | 9.8202 | 30.363 | 82.337 | 10.309 | 776.0 | 15040.0 |
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- | 5000 | 0.0808 | 412.0 | 2240.0 | 8.3984 | 30.2576 | 82.624 | 10.344 | 290.0 | 438.0 |
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- | 7500 | 0.1212 | 245.0 | 908.0 | 7.6616 | 30.2286 | 82.703 | 10.354 | 218.0 | 198.0 |
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- | 10000 | 0.1616 | 183.0 | 672.0 | 7.2414 | 30.2767 | 82.572 | 10.338 | 165.0 | 205.0 |
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- | 12500 | 0.2020 | 132.0 | 504.0 | 6.6901 | 30.2951 | 82.522 | 10.332 | 114.5 | 155.0 |
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- | 15000 | 0.2424 | 113.0 | 434.0 | 6.4131 | 30.208 | 82.76 | 10.362 | 89.5 | 137.0 |
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- | 17500 | 0.2828 | 93.0 | 340.0 | 6.1935 | 30.2459 | 82.656 | 10.349 | 71.0 | 130.0 |
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- | 20000 | 0.3232 | 74.5 | 280.0 | 5.9346 | 30.3009 | 82.506 | 10.33 | 64.5 | 117.0 |
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- | 22500 | 0.3636 | 66.5 | 213.0 | 5.6624 | 30.1305 | 82.972 | 10.388 | 50.75 | 78.0 |
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- | 25000 | 0.4040 | 63.5 | 197.0 | 5.5619 | 30.139 | 82.949 | 10.385 | 45.25 | 79.0 |
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- | 27500 | 0.4444 | 57.75 | 209.0 | 5.4901 | 30.2173 | 82.734 | 10.358 | 40.5 | 79.0 |
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- | 30000 | 0.4848 | 60.25 | 202.0 | 5.4756 | 30.2106 | 82.752 | 10.361 | 42.5 | 67.5 |
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- | 32500 | 0.5253 | 58.5 | 171.0 | 5.4479 | 30.148 | 82.924 | 10.382 | 39.5 | 58.75 |
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- | 35000 | 0.5657 | 57.75 | 167.0 | 5.3742 | 30.1599 | 82.892 | 10.378 | 37.0 | 50.25 |
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- | 37500 | 0.6061 | 58.5 | 156.0 | 5.3426 | 30.1592 | 82.893 | 10.378 | 38.25 | 59.75 |
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- | 40000 | 0.6465 | 54.25 | 160.0 | 5.3271 | 30.1125 | 83.022 | 10.394 | 34.25 | 54.5 |
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- | 42500 | 0.6869 | 54.5 | 146.0 | 5.2933 | 30.1199 | 83.002 | 10.392 | 35.75 | 56.5 |
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- | 45000 | 0.7273 | 51.0 | 132.0 | 5.1589 | 30.1122 | 83.023 | 10.394 | 30.375 | 41.75 |
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- | 47500 | 0.7677 | 50.5 | 124.5 | 5.1270 | 30.1744 | 82.852 | 10.373 | 29.5 | 36.25 |
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- | 50000 | 0.8081 | 50.0 | 123.0 | 5.1102 | 30.1217 | 82.997 | 10.391 | 29.0 | 38.0 |
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- | 52500 | 0.8485 | 48.75 | 119.5 | 5.0968 | 30.2475 | 82.651 | 10.348 | 29.25 | 33.75 |
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- | 55000 | 0.8889 | 48.75 | 117.0 | 5.0761 | 30.1367 | 82.955 | 10.386 | 28.625 | 33.75 |
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- | 57500 | 0.9293 | 48.0 | 116.5 | 5.0695 | 30.1291 | 82.976 | 10.389 | 28.125 | 31.875 |
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- | 60000 | 0.9697 | 48.25 | 116.0 | 5.0657 | 30.2483 | 82.649 | 10.348 | 28.125 | 31.875 |
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- | 61875 | 1.0 | 48.0 | 116.5 | 5.0641 | 30.2256 | 82.711 | 10.355 | 28.125 | 32.0 |
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  # Resource Usage Comparison
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@@ -103,7 +103,7 @@ Trained on 145,744,973 tokens from the [wikimedia/wikipedia](https://huggingface
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  # Training Objective
104
 
105
  ```
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- DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=cos, layer_mapper=layer-2))
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  ```
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  # Hyperparameters
@@ -120,9 +120,9 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: `linear`
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  - lr_scheduler_warmup_ratio: `0.5`
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  - num_epochs: `1.0`
123
- - distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=cos, layer_mapper=layer-2))`
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  - train_embeddings: `True`
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- - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f02802ab190>`
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  - student_model_name_or_path: `None`
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  - student_config_name_or_path: `None`
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  - student_model_config: `None`
 
44
  | step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
45
  | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
46
  | **teacher eval** | | 43.25 | 61.25 | | | | | 11.6875 | 19.125 |
47
+ | 0 | 0 | 2473901162496.0 | 170424302305280.0 | 22.0554 | 29.7695 | 83.978 | 10.514 | 4060086272.0 | 71468255805440.0 |
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+ | 2500 | 0.0404 | 744.0 | 5792.0 | 2.6072 | 29.8269 | 83.817 | 10.494 | 450.0 | 4192.0 |
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+ | 5000 | 0.0808 | 316.0 | 1408.0 | 1.9087 | 29.8408 | 83.778 | 10.489 | 237.0 | 300.0 |
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+ | 7500 | 0.1212 | 221.0 | 776.0 | 1.6174 | 29.8221 | 83.83 | 10.496 | 180.0 | 175.0 |
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+ | 10000 | 0.1616 | 165.0 | 616.0 | 1.4278 | 29.8115 | 83.86 | 10.499 | 144.0 | 150.0 |
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+ | 12500 | 0.2020 | 124.5 | 484.0 | 1.1898 | 29.8065 | 83.874 | 10.501 | 107.0 | 146.0 |
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+ | 15000 | 0.2424 | 108.0 | 452.0 | 1.0632 | 29.7962 | 83.903 | 10.505 | 92.5 | 109.0 |
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+ | 17500 | 0.2828 | 91.5 | 352.0 | 0.9642 | 29.7907 | 83.919 | 10.507 | 75.5 | 119.0 |
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+ | 20000 | 0.3232 | 79.0 | 302.0 | 0.8892 | 29.8022 | 83.886 | 10.503 | 68.0 | 688.0 |
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+ | 22500 | 0.3636 | 72.5 | 236.0 | 0.7640 | 29.8032 | 83.883 | 10.502 | 59.0 | 90.5 |
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+ | 25000 | 0.4040 | 68.0 | 202.0 | 0.7181 | 29.8737 | 83.686 | 10.477 | 51.75 | 85.5 |
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+ | 27500 | 0.4444 | 63.75 | 223.0 | 0.6853 | 29.8142 | 83.853 | 10.498 | 48.0 | 99.0 |
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+ | 30000 | 0.4848 | 63.5 | 214.0 | 0.6791 | 29.8122 | 83.858 | 10.499 | 50.75 | 76.5 |
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+ | 32500 | 0.5253 | 64.0 | 194.0 | 0.6660 | 29.794 | 83.91 | 10.505 | 46.75 | 96.5 |
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+ | 35000 | 0.5657 | 60.25 | 176.0 | 0.6075 | 29.8902 | 83.639 | 10.472 | 41.5 | 62.25 |
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+ | 37500 | 0.6061 | 60.5 | 169.0 | 0.5942 | 29.8616 | 83.72 | 10.482 | 43.5 | 78.5 |
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+ | 40000 | 0.6465 | 57.5 | 176.0 | 0.5808 | 29.8082 | 83.87 | 10.5 | 39.5 | 80.5 |
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+ | 42500 | 0.6869 | 58.0 | 172.0 | 0.5602 | 29.7977 | 83.899 | 10.504 | 40.0 | 58.75 |
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+ | 45000 | 0.7273 | 52.5 | 145.0 | 0.4723 | 29.7887 | 83.924 | 10.507 | 34.25 | 47.0 |
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+ | 47500 | 0.7677 | 52.75 | 135.0 | 0.4507 | 29.7668 | 83.986 | 10.515 | 33.5 | 41.25 |
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+ | 50000 | 0.8081 | 51.25 | 133.0 | 0.4370 | 29.7994 | 83.894 | 10.504 | 31.875 | 39.75 |
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+ | 52500 | 0.8485 | 49.75 | 127.5 | 0.4272 | 29.7762 | 83.96 | 10.512 | 32.25 | 38.0 |
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+ | 55000 | 0.8889 | 49.25 | 126.5 | 0.4130 | 29.814 | 83.853 | 10.498 | 31.25 | 35.5 |
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+ | 57500 | 0.9293 | 48.5 | 125.0 | 0.4079 | 29.7893 | 83.923 | 10.507 | 30.625 | 34.25 |
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+ | 60000 | 0.9697 | 48.75 | 123.5 | 0.4046 | 29.8263 | 83.819 | 10.494 | 30.625 | 34.75 |
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+ | 61875 | 1.0 | 48.75 | 124.0 | 0.4043 | 29.85 | 83.752 | 10.486 | 30.625 | 34.5 |
73
 
74
  # Resource Usage Comparison
75
 
 
103
  # Training Objective
104
 
105
  ```
106
+ DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=raw_mse, layer_mapper=layer-2))
107
  ```
108
 
109
  # Hyperparameters
 
120
  - lr_scheduler_type: `linear`
121
  - lr_scheduler_warmup_ratio: `0.5`
122
  - num_epochs: `1.0`
123
+ - distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=raw_mse, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f010c128160>`
126
  - student_model_name_or_path: `None`
127
  - student_config_name_or_path: `None`
128
  - student_model_config: `None`
logs/attn_loss_fn=raw_mse, attn_weight=10.0, projector=mlp/events.out.tfevents.1724330847.f383272e719b ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:f26df2d84f186d7624c27a0500aa56f92486255c12d1bc852b4837cffa459a26
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