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distily
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distily_projector_experiment

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Safetensors
Distily
gpt2
bitnet
1.58b
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lapp0 commited on
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End of training

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  1. README.md +29 -29
  2. logs/attn_loss_fn=cos, attn_weight=10.0, projector=mlp/events.out.tfevents.1724341013.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 | 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 |
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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=raw_mse, 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=raw_mse, layer_mapper=layer-2))`
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  - train_embeddings: `True`
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- - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f010c128160>`
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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 | 30.7740 | 30.0939 | 83.073 | 10.401 | 4060086272.0 | 71468255805440.0 |
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+ | 2500 | 0.0404 | 1192.0 | 11840.0 | 9.8250 | 30.1508 | 82.916 | 10.381 | 772.0 | 15040.0 |
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+ | 5000 | 0.0808 | 412.0 | 2240.0 | 8.3978 | 30.1808 | 82.834 | 10.371 | 290.0 | 438.0 |
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+ | 7500 | 0.1212 | 245.0 | 908.0 | 7.6620 | 30.1603 | 82.891 | 10.378 | 219.0 | 198.0 |
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+ | 10000 | 0.1616 | 182.0 | 672.0 | 7.2415 | 30.2587 | 82.621 | 10.344 | 165.0 | 204.0 |
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+ | 12500 | 0.2020 | 132.0 | 504.0 | 6.6895 | 30.1682 | 82.869 | 10.375 | 115.0 | 155.0 |
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+ | 15000 | 0.2424 | 113.0 | 436.0 | 6.4127 | 30.186 | 82.82 | 10.369 | 89.5 | 137.0 |
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+ | 17500 | 0.2828 | 92.5 | 340.0 | 6.1945 | 30.108 | 83.035 | 10.396 | 71.0 | 132.0 |
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+ | 20000 | 0.3232 | 74.0 | 278.0 | 5.9293 | 30.1455 | 82.931 | 10.383 | 63.25 | 134.0 |
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+ | 22500 | 0.3636 | 66.0 | 215.0 | 5.6606 | 30.0869 | 83.093 | 10.403 | 50.5 | 81.5 |
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+ | 25000 | 0.4040 | 63.25 | 189.0 | 5.5592 | 30.1385 | 82.95 | 10.385 | 44.0 | 72.5 |
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+ | 27500 | 0.4444 | 59.0 | 202.0 | 5.4963 | 30.1334 | 82.964 | 10.387 | 40.5 | 79.0 |
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+ | 30000 | 0.4848 | 59.75 | 198.0 | 5.4789 | 30.1924 | 82.802 | 10.367 | 42.25 | 63.75 |
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+ | 32500 | 0.5253 | 58.75 | 177.0 | 5.4552 | 30.1133 | 83.02 | 10.394 | 40.25 | 56.5 |
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+ | 35000 | 0.5657 | 57.5 | 167.0 | 5.3773 | 30.1179 | 83.007 | 10.393 | 36.0 | 51.0 |
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+ | 37500 | 0.6061 | 57.5 | 161.0 | 5.3443 | 30.1249 | 82.988 | 10.39 | 37.75 | 53.25 |
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+ | 40000 | 0.6465 | 54.5 | 159.0 | 5.3258 | 30.1211 | 82.998 | 10.391 | 34.25 | 59.0 |
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+ | 42500 | 0.6869 | 55.25 | 150.0 | 5.2937 | 30.1886 | 82.813 | 10.368 | 35.75 | 50.75 |
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+ | 45000 | 0.7273 | 50.5 | 132.0 | 5.1564 | 30.1176 | 83.008 | 10.393 | 30.125 | 42.75 |
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+ | 47500 | 0.7677 | 50.75 | 123.0 | 5.1254 | 30.0774 | 83.119 | 10.406 | 29.375 | 37.5 |
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+ | 50000 | 0.8081 | 50.0 | 123.5 | 5.1100 | 30.1068 | 83.038 | 10.396 | 28.75 | 39.0 |
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+ | 52500 | 0.8485 | 49.0 | 120.0 | 5.0958 | 30.1022 | 83.05 | 10.398 | 29.125 | 35.0 |
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+ | 55000 | 0.8889 | 48.75 | 117.5 | 5.0753 | 30.968 | 80.728 | 10.107 | 28.125 | 35.75 |
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+ | 57500 | 0.9293 | 48.25 | 117.0 | 5.0696 | 30.0872 | 83.092 | 10.403 | 28.0 | 33.25 |
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+ | 60000 | 0.9697 | 48.25 | 117.0 | 5.0655 | 30.1265 | 82.983 | 10.39 | 28.0 | 33.0 |
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+ | 61875 | 1.0 | 48.25 | 117.0 | 5.0651 | 30.1098 | 83.03 | 10.395 | 28.0 | 33.25 |
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=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=10.0, loss_fn=cos, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f010c102dd0>`
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=10.0, projector=mlp/events.out.tfevents.1724341013.f383272e719b ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2b184c3b82f921a594040fe5dbf4714e52c23580b4a7998d985adf1cbda01b0a
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+ size 588