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distily_multi_experiment

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Distily
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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, projector=linear/events.out.tfevents.1724376897.e3f806ea38c9 +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 | 25.1005 | 99.6 | 12.47 | 4060086272.0 | 71468255805440.0 |
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- | 2500 | 0.0404 | 964.0 | 7552.0 | 6.1230 | 25.2379 | 99.057 | 12.402 | 612.0 | 7936.0 |
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- | 5000 | 0.0808 | 380.0 | 1896.0 | 5.0307 | 25.2556 | 98.988 | 12.393 | 270.0 | 286.0 |
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- | 7500 | 0.1212 | 230.0 | 824.0 | 4.5126 | 25.2187 | 99.133 | 12.411 | 201.0 | 174.0 |
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- | 10000 | 0.1616 | 171.0 | 628.0 | 4.2264 | 25.2809 | 98.889 | 12.381 | 150.0 | 174.0 |
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- | 12500 | 0.2020 | 127.0 | 482.0 | 3.8535 | 25.192 | 99.238 | 12.425 | 106.0 | 156.0 |
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- | 15000 | 0.2424 | 109.5 | 432.0 | 3.6645 | 25.2166 | 99.141 | 12.412 | 88.0 | 155.0 |
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- | 17500 | 0.2828 | 93.0 | 350.0 | 3.5201 | 25.2663 | 98.946 | 12.388 | 73.5 | 120.5 |
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- | 20000 | 0.3232 | 75.5 | 284.0 | 3.3344 | 25.2826 | 98.882 | 12.38 | 63.75 | 143.0 |
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- | 22500 | 0.3636 | 67.0 | 213.0 | 3.1515 | 25.2744 | 98.914 | 12.384 | 52.0 | 81.0 |
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- | 25000 | 0.4040 | 62.5 | 196.0 | 3.0761 | 25.2089 | 99.171 | 12.416 | 44.75 | 100.5 |
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- | 27500 | 0.4444 | 58.5 | 192.0 | 3.0319 | 25.2844 | 98.875 | 12.379 | 40.75 | 69.0 |
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- | 30000 | 0.4848 | 59.25 | 194.0 | 3.0142 | 25.2883 | 98.86 | 12.377 | 45.0 | 72.5 |
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- | 32500 | 0.5253 | 59.75 | 173.0 | 2.9997 | 25.2846 | 98.874 | 12.379 | 39.75 | 62.25 |
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- | 35000 | 0.5657 | 56.5 | 172.0 | 2.9418 | 25.2601 | 98.97 | 12.391 | 37.25 | 60.0 |
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- | 37500 | 0.6061 | 57.25 | 155.0 | 2.9178 | 25.2746 | 98.914 | 12.384 | 38.0 | 60.5 |
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- | 40000 | 0.6465 | 55.75 | 166.0 | 2.8984 | 25.2563 | 98.985 | 12.393 | 35.75 | 67.0 |
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- | 42500 | 0.6869 | 54.75 | 150.0 | 2.8788 | 25.2709 | 98.928 | 12.386 | 35.25 | 58.0 |
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- | 45000 | 0.7273 | 50.25 | 134.0 | 2.7761 | 25.1686 | 99.33 | 12.436 | 30.25 | 42.5 |
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- | 47500 | 0.7677 | 50.5 | 124.5 | 2.7511 | 25.2315 | 99.083 | 12.405 | 29.125 | 38.0 |
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- | 50000 | 0.8081 | 49.0 | 125.0 | 2.7362 | 25.2205 | 99.126 | 12.411 | 28.375 | 40.25 |
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- | 52500 | 0.8485 | 48.25 | 121.0 | 2.7264 | 25.2403 | 99.048 | 12.401 | 29.0 | 36.25 |
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- | 55000 | 0.8889 | 48.0 | 118.0 | 2.7109 | 25.1954 | 99.224 | 12.423 | 27.875 | 33.75 |
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- | 57500 | 0.9293 | 47.5 | 117.5 | 2.7053 | 25.258 | 98.979 | 12.392 | 27.625 | 32.5 |
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- | 60000 | 0.9697 | 47.5 | 117.0 | 2.7012 | 25.1729 | 99.313 | 12.434 | 27.5 | 32.5 |
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- | 61875 | 1.0 | 47.5 | 117.5 | 2.7010 | 25.2633 | 98.958 | 12.39 | 27.625 | 32.5 |
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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 0x7f13f44e4550>`
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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 | 25.1947 | 99.227 | 12.423 | 4060086272.0 | 71468255805440.0 |
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+ | 2500 | 0.0404 | 2496.0 | 25856.0 | 21.0926 | 25.2323 | 99.079 | 12.405 | 2576.0 | 47616.0 |
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+ | 5000 | 0.0808 | 486.0 | 3120.0 | 18.4104 | 25.2286 | 99.094 | 12.407 | 338.0 | 1104.0 |
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+ | 7500 | 0.1212 | 276.0 | 1296.0 | 17.0012 | 25.2472 | 99.021 | 12.397 | 254.0 | 247.0 |
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+ | 10000 | 0.1616 | 202.0 | 752.0 | 16.2103 | 25.2451 | 99.029 | 12.398 | 187.0 | 296.0 |
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+ | 12500 | 0.2020 | 145.0 | 536.0 | 15.0990 | 25.1956 | 99.224 | 12.423 | 131.0 | 173.0 |
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+ | 15000 | 0.2424 | 123.5 | 488.0 | 14.5275 | 25.2611 | 98.966 | 12.391 | 93.5 | 147.0 |
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+ | 17500 | 0.2828 | 95.5 | 376.0 | 14.1507 | 25.2295 | 99.09 | 12.406 | 76.0 | 134.0 |
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+ | 20000 | 0.3232 | 78.0 | 308.0 | 13.6430 | 25.2434 | 99.036 | 12.399 | 63.5 | 136.0 |
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+ | 22500 | 0.3636 | 66.5 | 218.0 | 13.1470 | 25.2484 | 99.016 | 12.397 | 49.75 | 83.0 |
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+ | 25000 | 0.4040 | 63.0 | 204.0 | 12.9643 | 25.2039 | 99.191 | 12.419 | 43.25 | 82.5 |
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+ | 27500 | 0.4444 | 59.75 | 196.0 | 12.8397 | 25.1629 | 99.353 | 12.439 | 40.0 | 76.5 |
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+ | 30000 | 0.4848 | 58.5 | 192.0 | 12.8201 | 25.1971 | 99.218 | 12.422 | 41.0 | 61.5 |
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+ | 32500 | 0.5253 | 58.25 | 170.0 | 12.7767 | 25.2324 | 99.079 | 12.405 | 39.5 | 58.75 |
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+ | 35000 | 0.5657 | 57.75 | 170.0 | 12.6563 | 25.193 | 99.234 | 12.424 | 36.25 | 44.75 |
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+ | 37500 | 0.6061 | 56.25 | 155.0 | 12.5982 | 25.2106 | 99.165 | 12.415 | 36.75 | 50.5 |
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+ | 40000 | 0.6465 | 55.5 | 163.0 | 12.5850 | 25.222 | 99.12 | 12.41 | 33.5 | 62.25 |
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+ | 42500 | 0.6869 | 54.75 | 151.0 | 12.5192 | 25.2047 | 99.188 | 12.418 | 34.25 | 50.75 |
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+ | 45000 | 0.7273 | 51.25 | 135.0 | 12.2871 | 25.2624 | 98.961 | 12.39 | 29.5 | 42.0 |
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+ | 47500 | 0.7677 | 51.0 | 125.5 | 12.2422 | 25.232 | 99.081 | 12.405 | 28.375 | 35.75 |
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+ | 50000 | 0.8081 | 50.5 | 124.5 | 12.2162 | 25.177 | 99.297 | 12.432 | 28.375 | 37.75 |
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+ | 52500 | 0.8485 | 49.25 | 121.0 | 12.1929 | 25.1839 | 99.27 | 12.429 | 28.5 | 34.5 |
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+ | 55000 | 0.8889 | 49.25 | 120.5 | 12.1608 | 25.2063 | 99.182 | 12.418 | 27.625 | 34.75 |
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+ | 57500 | 0.9293 | 48.75 | 119.5 | 12.1482 | 25.2548 | 98.991 | 12.394 | 27.5 | 32.75 |
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+ | 60000 | 0.9697 | 48.75 | 119.0 | 12.1412 | 25.2068 | 99.18 | 12.417 | 27.5 | 32.5 |
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+ | 61875 | 1.0 | 48.75 | 119.5 | 12.1400 | 25.2169 | 99.14 | 12.412 | 27.5 | 32.75 |
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=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 0x7f146e3bfc10>`
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, projector=linear/events.out.tfevents.1724376897.e3f806ea38c9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:3b44a8a465dff5b87f3a63deb9f3ccdf4bb7197522c702435d104a9a033d5325
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