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distily
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distily_multi_experiment

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Distily
gpt2
bitnet
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End of training

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  1. README.md +29 -29
  2. logs/attn_loss_fn=cos, attn_weight=25.0, layer_mapper=last_k_2, projector=orthogonal/events.out.tfevents.1724382136.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 | 25.7744 | 30.1836 | 82.826 | 10.37 | 4060086272.0 | 71468255805440.0 |
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- | 2500 | 0.0404 | 956.0 | 8192.0 | 6.1231 | 30.1407 | 82.944 | 10.385 | 660.0 | 6464.0 |
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- | 5000 | 0.0808 | 378.0 | 1880.0 | 5.0294 | 30.1017 | 83.052 | 10.398 | 270.0 | 290.0 |
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- | 7500 | 0.1212 | 230.0 | 820.0 | 4.5126 | 30.2328 | 82.692 | 10.353 | 201.0 | 174.0 |
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- | 10000 | 0.1616 | 173.0 | 628.0 | 4.2290 | 30.1373 | 82.954 | 10.386 | 152.0 | 172.0 |
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- | 12500 | 0.2020 | 127.5 | 482.0 | 3.8556 | 30.2081 | 82.759 | 10.361 | 106.5 | 156.0 |
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- | 15000 | 0.2424 | 109.0 | 436.0 | 3.6682 | 30.1834 | 82.827 | 10.37 | 87.5 | 146.0 |
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- | 17500 | 0.2828 | 93.5 | 348.0 | 3.5219 | 30.1772 | 82.844 | 10.372 | 73.0 | 120.5 |
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- | 20000 | 0.3232 | 75.5 | 272.0 | 3.3368 | 30.1313 | 82.97 | 10.388 | 63.5 | 134.0 |
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- | 22500 | 0.3636 | 67.5 | 217.0 | 3.1528 | 30.1675 | 82.871 | 10.375 | 52.75 | 77.5 |
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- | 25000 | 0.4040 | 63.75 | 196.0 | 3.0848 | 30.1989 | 82.784 | 10.365 | 45.5 | 77.0 |
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- | 27500 | 0.4444 | 58.0 | 205.0 | 3.0296 | 30.1798 | 82.837 | 10.371 | 40.25 | 79.5 |
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- | 30000 | 0.4848 | 60.5 | 198.0 | 3.0189 | 30.2126 | 82.747 | 10.36 | 43.0 | 64.5 |
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- | 32500 | 0.5253 | 59.0 | 172.0 | 3.0013 | 30.176 | 82.847 | 10.372 | 41.0 | 76.5 |
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- | 35000 | 0.5657 | 56.0 | 172.0 | 2.9437 | 30.2238 | 82.716 | 10.356 | 38.25 | 59.5 |
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- | 37500 | 0.6061 | 57.5 | 161.0 | 2.9153 | 30.1666 | 82.873 | 10.376 | 38.25 | 67.5 |
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- | 40000 | 0.6465 | 54.75 | 156.0 | 2.8906 | 30.1878 | 82.815 | 10.368 | 35.75 | 58.75 |
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- | 42500 | 0.6869 | 54.0 | 154.0 | 2.8788 | 30.1733 | 82.855 | 10.373 | 34.75 | 52.0 |
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- | 45000 | 0.7273 | 50.5 | 136.0 | 2.7766 | 30.1315 | 82.97 | 10.388 | 30.75 | 45.25 |
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- | 47500 | 0.7677 | 50.0 | 124.5 | 2.7505 | 30.4536 | 82.092 | 10.278 | 29.875 | 37.25 |
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- | 50000 | 0.8081 | 48.75 | 123.5 | 2.7359 | 30.1393 | 82.948 | 10.385 | 28.75 | 37.0 |
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- | 52500 | 0.8485 | 48.25 | 120.5 | 2.7269 | 30.1607 | 82.889 | 10.378 | 28.875 | 35.5 |
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- | 55000 | 0.8889 | 48.0 | 118.5 | 2.7099 | 30.2151 | 82.74 | 10.359 | 27.875 | 34.25 |
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- | 57500 | 0.9293 | 47.5 | 118.0 | 2.7048 | 30.1727 | 82.856 | 10.374 | 27.625 | 33.0 |
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- | 60000 | 0.9697 | 47.5 | 117.5 | 2.7013 | 30.2816 | 82.558 | 10.336 | 27.5 | 32.75 |
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- | 61875 | 1.0 | 47.5 | 117.5 | 2.7006 | 30.27 | 82.59 | 10.34 | 27.625 | 33.0 |
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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
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105
  ```
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- DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5, 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=5, 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 0x7fbd702f4d60>`
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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 | 45.7764 | 30.2746 | 82.577 | 10.339 | 4060086272.0 | 71468255805440.0 |
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+ | 2500 | 0.0404 | 2040.0 | 20608.0 | 20.8472 | 30.2064 | 82.764 | 10.362 | 1472.0 | 60160.0 |
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+ | 5000 | 0.0808 | 488.0 | 3120.0 | 18.4130 | 30.6595 | 81.541 | 10.209 | 338.0 | 1112.0 |
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+ | 7500 | 0.1212 | 276.0 | 1296.0 | 17.0012 | 30.289 | 82.538 | 10.334 | 255.0 | 249.0 |
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+ | 10000 | 0.1616 | 202.0 | 756.0 | 16.2078 | 30.2709 | 82.588 | 10.34 | 188.0 | 304.0 |
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+ | 12500 | 0.2020 | 145.0 | 540.0 | 15.0996 | 30.2185 | 82.731 | 10.358 | 131.0 | 176.0 |
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+ | 15000 | 0.2424 | 123.5 | 490.0 | 14.5283 | 30.2533 | 82.636 | 10.346 | 93.0 | 146.0 |
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+ | 17500 | 0.2828 | 95.0 | 376.0 | 14.1520 | 30.2403 | 82.671 | 10.35 | 75.5 | 137.0 |
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+ | 20000 | 0.3232 | 79.0 | 306.0 | 13.6446 | 30.1204 | 83.0 | 10.392 | 63.25 | 130.0 |
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+ | 22500 | 0.3636 | 66.0 | 219.0 | 13.1452 | 30.158 | 82.897 | 10.379 | 50.0 | 80.5 |
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+ | 25000 | 0.4040 | 63.0 | 200.0 | 12.9619 | 30.1269 | 82.982 | 10.389 | 43.75 | 77.5 |
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+ | 27500 | 0.4444 | 59.0 | 197.0 | 12.8388 | 30.3214 | 82.45 | 10.323 | 40.5 | 73.5 |
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+ | 30000 | 0.4848 | 59.5 | 204.0 | 12.8191 | 30.3164 | 82.464 | 10.324 | 40.5 | 70.5 |
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+ | 32500 | 0.5253 | 58.25 | 176.0 | 12.7778 | 30.2231 | 82.718 | 10.356 | 38.75 | 61.75 |
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+ | 35000 | 0.5657 | 58.25 | 169.0 | 12.6562 | 30.35 | 82.372 | 10.313 | 36.5 | 45.5 |
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+ | 37500 | 0.6061 | 56.75 | 158.0 | 12.6014 | 30.3685 | 82.322 | 10.307 | 37.0 | 50.5 |
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+ | 40000 | 0.6465 | 55.0 | 156.0 | 12.5674 | 30.3598 | 82.346 | 10.31 | 33.75 | 59.5 |
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+ | 42500 | 0.6869 | 54.5 | 147.0 | 12.5141 | 30.3209 | 82.451 | 10.323 | 34.25 | 52.5 |
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+ | 45000 | 0.7273 | 50.75 | 135.0 | 12.2860 | 30.244 | 82.661 | 10.349 | 29.5 | 41.75 |
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+ | 47500 | 0.7677 | 50.5 | 127.0 | 12.2408 | 30.3366 | 82.409 | 10.318 | 28.875 | 35.0 |
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+ | 50000 | 0.8081 | 50.25 | 125.5 | 12.2160 | 30.2563 | 82.627 | 10.345 | 28.625 | 39.0 |
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+ | 52500 | 0.8485 | 49.25 | 123.0 | 12.1936 | 30.2253 | 82.712 | 10.356 | 28.5 | 35.5 |
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+ | 55000 | 0.8889 | 49.25 | 121.0 | 12.1620 | 30.1898 | 82.81 | 10.368 | 27.875 | 35.0 |
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+ | 57500 | 0.9293 | 48.75 | 120.0 | 12.1488 | 30.2559 | 82.628 | 10.345 | 27.75 | 33.5 |
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+ | 60000 | 0.9697 | 48.75 | 119.5 | 12.1404 | 30.1517 | 82.914 | 10.381 | 27.625 | 33.25 |
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+ | 61875 | 1.0 | 48.75 | 120.0 | 12.1402 | 30.2129 | 82.746 | 10.36 | 27.625 | 33.5 |
73
 
74
  # Resource Usage Comparison
75
 
 
103
  # 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=25.0, loss_fn=cos, layer_mapper=layer-2))
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  ```
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=25.0, loss_fn=cos, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7fbd2823f2b0>`
126
  - student_model_name_or_path: `None`
127
  - student_config_name_or_path: `None`
128
  - student_model_config: `None`
logs/attn_loss_fn=cos, attn_weight=25.0, layer_mapper=last_k_2, projector=orthogonal/events.out.tfevents.1724382136.f383272e719b ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:1f3e8a2e1488b72729cd681c8b43d2ce01d2abd6e0230379eeffd857b7d7cc13
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