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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=layer-2, projector=orthogonal/events.out.tfevents.1724433200.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 | 30.269 | 82.593 | 10.341 | 4060086272.0 | 71468255805440.0 |
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- | 2500 | 0.0404 | 952.0 | 8032.0 | 6.1202 | 30.2377 | 82.678 | 10.351 | 652.0 | 6432.0 |
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- | 5000 | 0.0808 | 378.0 | 1880.0 | 5.0293 | 30.3345 | 82.414 | 10.318 | 270.0 | 288.0 |
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- | 7500 | 0.1212 | 230.0 | 820.0 | 4.5127 | 30.2749 | 82.577 | 10.339 | 201.0 | 174.0 |
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- | 10000 | 0.1616 | 173.0 | 628.0 | 4.2288 | 30.3713 | 82.315 | 10.306 | 152.0 | 172.0 |
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- | 12500 | 0.2020 | 127.5 | 482.0 | 3.8554 | 30.4218 | 82.178 | 10.289 | 106.5 | 157.0 |
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- | 15000 | 0.2424 | 109.0 | 436.0 | 3.6684 | 30.2501 | 82.644 | 10.347 | 87.5 | 148.0 |
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- | 17500 | 0.2828 | 93.5 | 350.0 | 3.5226 | 30.2559 | 82.628 | 10.345 | 73.5 | 119.5 |
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- | 20000 | 0.3232 | 75.5 | 282.0 | 3.3351 | 30.5792 | 81.755 | 10.236 | 64.5 | 114.5 |
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- | 22500 | 0.3636 | 67.5 | 213.0 | 3.1522 | 30.4457 | 82.113 | 10.281 | 53.25 | 80.5 |
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- | 25000 | 0.4040 | 64.0 | 197.0 | 3.0806 | 30.4623 | 82.069 | 10.275 | 45.0 | 95.5 |
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- | 27500 | 0.4444 | 58.25 | 203.0 | 3.0308 | 30.2865 | 82.545 | 10.335 | 40.75 | 93.0 |
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- | 30000 | 0.4848 | 59.5 | 195.0 | 3.0207 | 30.2442 | 82.66 | 10.349 | 43.25 | 61.5 |
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- | 32500 | 0.5253 | 58.5 | 172.0 | 3.0015 | 30.3473 | 82.38 | 10.314 | 41.75 | 60.75 |
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- | 35000 | 0.5657 | 57.25 | 171.0 | 2.9425 | 30.2295 | 82.701 | 10.354 | 38.0 | 51.5 |
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- | 37500 | 0.6061 | 57.25 | 157.0 | 2.9166 | 31.0953 | 80.398 | 10.066 | 38.0 | 55.0 |
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- | 40000 | 0.6465 | 54.75 | 160.0 | 2.8987 | 30.9607 | 80.747 | 10.11 | 35.5 | 58.75 |
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- | 42500 | 0.6869 | 53.75 | 153.0 | 2.8783 | 30.2174 | 82.734 | 10.358 | 35.75 | 67.0 |
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- | 45000 | 0.7273 | 50.25 | 136.0 | 2.7764 | 30.1636 | 82.881 | 10.377 | 30.375 | 41.25 |
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- | 47500 | 0.7677 | 50.25 | 126.5 | 2.7509 | 30.252 | 82.639 | 10.346 | 29.375 | 38.0 |
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- | 50000 | 0.8081 | 49.0 | 127.5 | 2.7362 | 30.1988 | 82.785 | 10.365 | 28.75 | 40.0 |
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- | 52500 | 0.8485 | 48.5 | 121.0 | 2.7263 | 30.2772 | 82.57 | 10.338 | 29.0 | 35.5 |
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- | 55000 | 0.8889 | 48.0 | 119.0 | 2.7102 | 30.1534 | 82.909 | 10.38 | 28.0 | 34.0 |
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- | 57500 | 0.9293 | 47.5 | 118.5 | 2.7043 | 30.181 | 82.834 | 10.371 | 27.875 | 32.5 |
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- | 60000 | 0.9697 | 47.5 | 118.0 | 2.7013 | 30.3322 | 82.421 | 10.319 | 27.75 | 32.25 |
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- | 61875 | 1.0 | 47.5 | 118.0 | 2.7006 | 30.5306 | 81.885 | 10.252 | 27.625 | 32.25 |
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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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  ```
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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`
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- - 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 0x7fb7a85a5a50>`
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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 | 30.605 | 81.686 | 10.227 | 4060086272.0 | 71468255805440.0 |
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+ | 2500 | 0.0404 | 2096.0 | 18560.0 | 20.7820 | 30.3978 | 82.243 | 10.297 | 1352.0 | 77312.0 |
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+ | 5000 | 0.0808 | 486.0 | 3120.0 | 18.4128 | 30.5404 | 81.859 | 10.249 | 338.0 | 1144.0 |
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+ | 7500 | 0.1212 | 276.0 | 1296.0 | 17.0012 | 30.2492 | 82.647 | 10.347 | 255.0 | 250.0 |
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+ | 10000 | 0.1616 | 202.0 | 760.0 | 16.2091 | 30.3937 | 82.254 | 10.298 | 188.0 | 306.0 |
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+ | 12500 | 0.2020 | 145.0 | 536.0 | 15.0998 | 30.5518 | 81.828 | 10.245 | 131.0 | 177.0 |
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+ | 15000 | 0.2424 | 124.0 | 488.0 | 14.5293 | 30.3974 | 82.244 | 10.297 | 93.0 | 147.0 |
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+ | 17500 | 0.2828 | 94.5 | 376.0 | 14.1505 | 30.3113 | 82.477 | 10.326 | 76.0 | 137.0 |
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+ | 20000 | 0.3232 | 78.5 | 308.0 | 13.6441 | 30.3336 | 82.417 | 10.319 | 63.25 | 129.0 |
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+ | 22500 | 0.3636 | 66.5 | 217.0 | 13.1484 | 30.4175 | 82.189 | 10.29 | 49.25 | 84.0 |
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+ | 25000 | 0.4040 | 63.25 | 200.0 | 12.9620 | 30.3475 | 82.379 | 10.314 | 44.25 | 82.0 |
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+ | 27500 | 0.4444 | 59.5 | 202.0 | 12.8450 | 30.6172 | 81.653 | 10.223 | 40.0 | 86.5 |
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+ | 30000 | 0.4848 | 59.25 | 201.0 | 12.8301 | 30.3687 | 82.322 | 10.307 | 42.25 | 67.0 |
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+ | 32500 | 0.5253 | 58.5 | 175.0 | 12.7672 | 30.3752 | 82.304 | 10.304 | 38.75 | 67.5 |
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+ | 35000 | 0.5657 | 57.75 | 171.0 | 12.6596 | 30.4274 | 82.163 | 10.287 | 36.5 | 51.5 |
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+ | 37500 | 0.6061 | 56.25 | 158.0 | 12.5992 | 30.4042 | 82.226 | 10.295 | 37.25 | 47.25 |
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+ | 40000 | 0.6465 | 56.25 | 157.0 | 12.5809 | 30.4949 | 81.981 | 10.264 | 34.0 | 65.5 |
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+ | 42500 | 0.6869 | 55.25 | 149.0 | 12.5176 | 30.4213 | 82.179 | 10.289 | 34.25 | 50.25 |
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+ | 45000 | 0.7273 | 51.0 | 135.0 | 12.2865 | 30.4957 | 81.979 | 10.264 | 30.375 | 42.75 |
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+ | 47500 | 0.7677 | 50.75 | 126.5 | 12.2402 | 30.2924 | 82.529 | 10.333 | 29.375 | 35.5 |
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+ | 50000 | 0.8081 | 50.25 | 124.5 | 12.2185 | 30.3557 | 82.357 | 10.311 | 28.875 | 39.25 |
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+ | 52500 | 0.8485 | 49.25 | 122.0 | 12.1911 | 30.3408 | 82.397 | 10.316 | 28.625 | 35.5 |
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+ | 55000 | 0.8889 | 49.25 | 120.5 | 12.1575 | 30.4254 | 82.168 | 10.287 | 28.0 | 35.0 |
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+ | 57500 | 0.9293 | 48.75 | 119.5 | 12.1461 | 30.4084 | 82.214 | 10.293 | 28.0 | 33.75 |
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+ | 60000 | 0.9697 | 48.75 | 119.5 | 12.1392 | 30.3285 | 82.431 | 10.32 | 27.875 | 33.5 |
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+ | 61875 | 1.0 | 48.75 | 119.5 | 12.1389 | 30.3428 | 82.392 | 10.315 | 27.75 | 33.75 |
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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=25.0, loss_fn=cos, 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=25.0, loss_fn=cos, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7fb5886aa170>`
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=layer-2, projector=orthogonal/events.out.tfevents.1724433200.f383272e719b ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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