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distily_multi_experiment

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Safetensors
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=linear/events.out.tfevents.1724352599.e3f806ea38c9 +3 -0
  3. logs/attn_loss_fn=cos, attn_weight=25.0, layer_mapper=last_k_2, projector=linear/events.out.tfevents.1724360634.e3f806ea38c9 +3 -0
  4. logs/attn_loss_fn=cos, attn_weight=5, layer_mapper=last_k_2, projector=linear/completed.flag +0 -0
  5. model.safetensors +1 -1
  6. training_args.bin +1 -1
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 | 25.1565 | 99.378 | 12.442 | 4060086272.0 | 71468255805440.0 |
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- | 2500 | 0.0404 | 956.0 | 7968.0 | 6.1178 | 25.2813 | 98.887 | 12.381 | 668.0 | 6432.0 |
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- | 5000 | 0.0808 | 380.0 | 1896.0 | 5.0307 | 25.2529 | 98.999 | 12.395 | 270.0 | 286.0 |
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- | 7500 | 0.1212 | 230.0 | 824.0 | 4.5130 | 25.1994 | 99.209 | 12.421 | 202.0 | 174.0 |
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- | 10000 | 0.1616 | 171.0 | 628.0 | 4.2264 | 25.2715 | 98.926 | 12.386 | 150.0 | 173.0 |
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- | 12500 | 0.2020 | 127.0 | 482.0 | 3.8535 | 25.2552 | 98.99 | 12.394 | 106.0 | 156.0 |
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- | 15000 | 0.2424 | 109.5 | 432.0 | 3.6651 | 25.2716 | 98.925 | 12.385 | 88.0 | 154.0 |
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- | 17500 | 0.2828 | 93.0 | 350.0 | 3.5204 | 25.3046 | 98.796 | 12.369 | 73.5 | 121.0 |
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- | 20000 | 0.3232 | 76.5 | 280.0 | 3.3349 | 25.2856 | 98.87 | 12.379 | 64.0 | 115.0 |
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- | 22500 | 0.3636 | 67.5 | 217.0 | 3.1514 | 25.2809 | 98.889 | 12.381 | 52.75 | 79.5 |
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- | 25000 | 0.4040 | 64.0 | 191.0 | 3.0794 | 25.2078 | 99.176 | 12.417 | 45.25 | 79.0 |
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- | 27500 | 0.4444 | 59.5 | 208.0 | 3.0351 | 25.2765 | 98.906 | 12.383 | 41.5 | 77.0 |
59
- | 30000 | 0.4848 | 60.25 | 200.0 | 3.0180 | 25.2853 | 98.872 | 12.379 | 43.5 | 69.5 |
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- | 32500 | 0.5253 | 58.75 | 174.0 | 2.9977 | 25.2495 | 99.012 | 12.396 | 40.5 | 63.75 |
61
- | 35000 | 0.5657 | 58.25 | 172.0 | 2.9422 | 25.2895 | 98.855 | 12.377 | 37.75 | 51.0 |
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- | 37500 | 0.6061 | 56.5 | 156.0 | 2.9150 | 25.2595 | 98.973 | 12.391 | 38.25 | 59.5 |
63
- | 40000 | 0.6465 | 54.75 | 164.0 | 2.8974 | 25.2591 | 98.974 | 12.392 | 34.75 | 74.5 |
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- | 42500 | 0.6869 | 54.5 | 155.0 | 2.8849 | 25.2872 | 98.864 | 12.378 | 34.5 | 66.5 |
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- | 45000 | 0.7273 | 50.75 | 137.0 | 2.7764 | 25.258 | 98.978 | 12.392 | 30.875 | 39.75 |
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- | 47500 | 0.7677 | 50.25 | 126.0 | 2.7507 | 25.2765 | 98.906 | 12.383 | 29.5 | 39.0 |
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- | 50000 | 0.8081 | 49.5 | 124.5 | 2.7361 | 25.2105 | 99.165 | 12.415 | 28.75 | 39.0 |
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- | 52500 | 0.8485 | 48.5 | 120.0 | 2.7265 | 25.2508 | 99.007 | 12.396 | 29.125 | 35.5 |
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- | 55000 | 0.8889 | 48.0 | 117.5 | 2.7110 | 25.2721 | 98.923 | 12.385 | 28.375 | 33.75 |
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- | 57500 | 0.9293 | 47.5 | 118.0 | 2.7049 | 25.2774 | 98.903 | 12.383 | 28.0 | 32.25 |
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- | 60000 | 0.9697 | 47.5 | 117.0 | 2.7018 | 25.2647 | 98.952 | 12.389 | 27.875 | 32.0 |
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- | 61875 | 1.0 | 47.5 | 117.0 | 2.7011 | 25.2892 | 98.856 | 12.377 | 28.0 | 32.25 |
73
 
74
  # Resource Usage Comparison
75
 
@@ -103,7 +103,7 @@ Trained on 145,744,973 tokens from the [wikimedia/wikipedia](https://huggingface
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=5, loss_fn=cos, layer_mapper=layer-2))
107
  ```
108
 
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  # Hyperparameters
@@ -120,9 +120,9 @@ The following hyperparameters were used during training:
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  - 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=5, loss_fn=cos, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
- - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f146e3bce80>`
126
  - student_model_name_or_path: `None`
127
  - student_config_name_or_path: `None`
128
  - 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 | 25.211 | 99.163 | 12.415 | 4060086272.0 | 71468255805440.0 |
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+ | 2500 | 0.0404 | 1728.0 | 17536.0 | 20.6058 | 25.224 | 99.112 | 12.409 | 1136.0 | 44800.0 |
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+ | 5000 | 0.0808 | 486.0 | 3120.0 | 18.4108 | 25.2493 | 99.013 | 12.396 | 338.0 | 1112.0 |
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+ | 7500 | 0.1212 | 276.0 | 1296.0 | 17.0012 | 25.1973 | 99.217 | 12.422 | 255.0 | 247.0 |
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+ | 10000 | 0.1616 | 202.0 | 756.0 | 16.2093 | 25.283 | 98.881 | 12.38 | 187.0 | 294.0 |
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+ | 12500 | 0.2020 | 145.0 | 540.0 | 15.1000 | 25.2581 | 98.978 | 12.392 | 131.0 | 175.0 |
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+ | 15000 | 0.2424 | 124.0 | 486.0 | 14.5265 | 25.2532 | 98.997 | 12.394 | 93.5 | 146.0 |
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+ | 17500 | 0.2828 | 95.0 | 374.0 | 14.1524 | 25.2791 | 98.896 | 12.382 | 75.5 | 135.0 |
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+ | 20000 | 0.3232 | 78.5 | 302.0 | 13.6402 | 25.2899 | 98.854 | 12.377 | 63.5 | 162.0 |
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+ | 22500 | 0.3636 | 67.0 | 219.0 | 13.1496 | 25.2955 | 98.832 | 12.374 | 49.75 | 85.5 |
57
+ | 25000 | 0.4040 | 63.75 | 204.0 | 12.9650 | 25.2258 | 99.105 | 12.408 | 44.25 | 80.0 |
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+ | 27500 | 0.4444 | 59.75 | 202.0 | 12.8388 | 25.2851 | 98.873 | 12.379 | 39.75 | 78.5 |
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+ | 30000 | 0.4848 | 59.0 | 192.0 | 12.8199 | 25.3036 | 98.8 | 12.37 | 41.0 | 58.75 |
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+ | 32500 | 0.5253 | 58.25 | 177.0 | 12.7685 | 25.2394 | 99.051 | 12.401 | 38.0 | 67.5 |
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+ | 35000 | 0.5657 | 57.25 | 172.0 | 12.6534 | 25.2884 | 98.859 | 12.377 | 35.75 | 45.5 |
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+ | 37500 | 0.6061 | 56.5 | 157.0 | 12.6015 | 25.2802 | 98.892 | 12.381 | 36.75 | 49.0 |
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+ | 40000 | 0.6465 | 55.5 | 156.0 | 12.5839 | 25.2894 | 98.856 | 12.377 | 33.75 | 63.25 |
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+ | 42500 | 0.6869 | 55.0 | 148.0 | 12.5142 | 25.2104 | 99.166 | 12.416 | 35.0 | 43.0 |
65
+ | 45000 | 0.7273 | 51.25 | 135.0 | 12.2868 | 25.2856 | 98.87 | 12.379 | 29.625 | 46.5 |
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+ | 47500 | 0.7677 | 50.75 | 125.0 | 12.2409 | 25.2644 | 98.954 | 12.389 | 29.0 | 37.25 |
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+ | 50000 | 0.8081 | 50.75 | 124.5 | 12.2177 | 25.286 | 98.869 | 12.378 | 28.875 | 39.0 |
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+ | 52500 | 0.8485 | 49.5 | 121.5 | 12.1931 | 25.2638 | 98.956 | 12.389 | 28.5 | 35.25 |
69
+ | 55000 | 0.8889 | 49.5 | 120.5 | 12.1621 | 25.2759 | 98.908 | 12.383 | 28.0 | 35.75 |
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+ | 57500 | 0.9293 | 49.0 | 120.0 | 12.1492 | 25.2276 | 99.098 | 12.407 | 27.875 | 34.25 |
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+ | 60000 | 0.9697 | 49.0 | 119.5 | 12.1404 | 25.2436 | 99.035 | 12.399 | 27.75 | 34.0 |
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+ | 61875 | 1.0 | 48.75 | 119.5 | 12.1397 | 25.124 | 99.507 | 12.458 | 27.875 | 34.25 |
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=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 0x7f15017afeb0>`
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=linear/events.out.tfevents.1724352599.e3f806ea38c9 ADDED
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