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distily
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distily_multi_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=kl, attn_weight=25.0, layer_mapper=all, projector=linear/events.out.tfevents.1724419748.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 | 21.1784 | 25.4152 | 98.366 | 12.315 | 4060086272.0 | 71468255805440.0 |
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- | 2500 | 0.0404 | 764.0 | 5376.0 | 2.3596 | 25.4066 | 98.4 | 12.32 | 470.0 | 2096.0 |
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- | 5000 | 0.0808 | 312.0 | 1344.0 | 1.6581 | 25.4693 | 98.157 | 12.289 | 232.0 | 241.0 |
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- | 7500 | 0.1212 | 210.0 | 744.0 | 1.3794 | 25.4328 | 98.298 | 12.307 | 172.0 | 154.0 |
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- | 10000 | 0.1616 | 158.0 | 560.0 | 1.1831 | 25.4425 | 98.261 | 12.302 | 129.0 | 156.0 |
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- | 12500 | 0.2020 | 117.0 | 456.0 | 0.9687 | 25.4175 | 98.357 | 12.314 | 98.5 | 140.0 |
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- | 15000 | 0.2424 | 103.5 | 418.0 | 0.8616 | 25.4115 | 98.381 | 12.317 | 84.5 | 110.5 |
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- | 17500 | 0.2828 | 91.0 | 340.0 | 0.7766 | 25.4459 | 98.248 | 12.301 | 74.0 | 107.5 |
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- | 20000 | 0.3232 | 78.5 | 300.0 | 0.7221 | 25.4945 | 98.06 | 12.277 | 66.0 | 173.0 |
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- | 22500 | 0.3636 | 72.0 | 230.0 | 0.6270 | 25.4673 | 98.165 | 12.29 | 59.0 | 99.0 |
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- | 25000 | 0.4040 | 67.5 | 211.0 | 0.5925 | 25.4934 | 98.064 | 12.278 | 49.75 | 118.5 |
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- | 27500 | 0.4444 | 66.0 | 208.0 | 0.5720 | 25.4123 | 98.378 | 12.317 | 47.75 | 159.0 |
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- | 30000 | 0.4848 | 65.5 | 215.0 | 0.5761 | 25.481 | 98.112 | 12.284 | 50.75 | 86.5 |
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- | 32500 | 0.5253 | 64.5 | 189.0 | 0.5649 | 25.4585 | 98.199 | 12.295 | 47.0 | 80.5 |
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- | 35000 | 0.5657 | 61.5 | 190.0 | 0.5213 | 25.4186 | 98.353 | 12.314 | 43.75 | 125.5 |
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- | 37500 | 0.6061 | 61.75 | 167.0 | 0.5083 | 25.4687 | 98.16 | 12.29 | 46.5 | 74.0 |
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- | 40000 | 0.6465 | 59.25 | 182.0 | 0.4943 | 25.4354 | 98.288 | 12.306 | 40.25 | 64.5 |
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- | 42500 | 0.6869 | 58.75 | 165.0 | 0.4828 | 25.4783 | 98.123 | 12.285 | 41.75 | 83.0 |
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- | 45000 | 0.7273 | 53.75 | 161.0 | 0.4080 | 25.4586 | 98.199 | 12.294 | 36.0 | 79.0 |
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- | 47500 | 0.7677 | 53.0 | 135.0 | 0.3898 | 25.4198 | 98.349 | 12.313 | 35.0 | 72.0 |
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- | 50000 | 0.8081 | 52.5 | 138.0 | 0.3778 | 25.4834 | 98.103 | 12.283 | 34.25 | 42.0 |
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- | 52500 | 0.8485 | 50.75 | 132.0 | 0.3690 | 25.432 | 98.301 | 12.307 | 34.0 | 48.5 |
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- | 55000 | 0.8889 | 50.5 | 126.0 | 0.3554 | 25.4536 | 98.218 | 12.297 | 32.5 | 37.25 |
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- | 57500 | 0.9293 | 49.75 | 127.0 | 0.3516 | 25.4028 | 98.415 | 12.321 | 32.25 | 36.0 |
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- | 60000 | 0.9697 | 49.75 | 124.5 | 0.3487 | 25.4725 | 98.145 | 12.288 | 32.0 | 35.75 |
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- | 61875 | 1.0 | 49.75 | 125.0 | 0.3485 | 25.4582 | 98.2 | 12.295 | 32.0 | 35.75 |
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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=5, loss_fn=kl, 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`
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=kl, layer_mapper=layer-2))`
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  - train_embeddings: `True`
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- - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f0408367160>`
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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 | 22.7948 | 25.4611 | 98.189 | 12.293 | 4060086272.0 | 71468255805440.0 |
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+ | 2500 | 0.0404 | 800.0 | 6240.0 | 2.9668 | 25.4143 | 98.37 | 12.316 | 470.0 | 5024.0 |
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+ | 5000 | 0.0808 | 326.0 | 1480.0 | 2.1695 | 25.4751 | 98.135 | 12.287 | 247.0 | 278.0 |
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+ | 7500 | 0.1212 | 224.0 | 804.0 | 1.8398 | 25.4585 | 98.199 | 12.295 | 185.0 | 191.0 |
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+ | 10000 | 0.1616 | 171.0 | 608.0 | 1.6411 | 25.4667 | 98.167 | 12.291 | 146.0 | 165.0 |
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+ | 12500 | 0.2020 | 127.0 | 482.0 | 1.3752 | 25.4857 | 98.094 | 12.281 | 111.0 | 141.0 |
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+ | 15000 | 0.2424 | 104.5 | 436.0 | 1.2406 | 25.4584 | 98.199 | 12.295 | 93.5 | 101.0 |
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+ | 17500 | 0.2828 | 90.5 | 340.0 | 1.1275 | 25.4822 | 98.108 | 12.283 | 74.0 | 147.0 |
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+ | 20000 | 0.3232 | 82.5 | 318.0 | 1.0364 | 25.4803 | 98.115 | 12.284 | 69.5 | 136.0 |
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+ | 22500 | 0.3636 | 74.0 | 236.0 | 0.8965 | 25.4918 | 98.071 | 12.278 | 61.0 | 88.0 |
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+ | 25000 | 0.4040 | 67.0 | 215.0 | 0.8526 | 25.4599 | 98.194 | 12.294 | 52.0 | 99.5 |
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+ | 27500 | 0.4444 | 63.75 | 220.0 | 0.8130 | 25.4697 | 98.156 | 12.289 | 46.75 | 111.5 |
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+ | 30000 | 0.4848 | 65.5 | 220.0 | 0.8063 | 25.4728 | 98.144 | 12.288 | 53.0 | 71.5 |
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+ | 32500 | 0.5253 | 63.75 | 193.0 | 0.7915 | 25.4447 | 98.252 | 12.301 | 45.75 | 112.5 |
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+ | 35000 | 0.5657 | 61.5 | 193.0 | 0.7347 | 25.4975 | 98.049 | 12.276 | 42.75 | 64.5 |
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+ | 37500 | 0.6061 | 61.0 | 168.0 | 0.7146 | 25.4651 | 98.174 | 12.291 | 44.5 | 58.5 |
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+ | 40000 | 0.6465 | 58.75 | 182.0 | 0.7022 | 25.4903 | 98.076 | 12.279 | 41.0 | 95.0 |
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+ | 42500 | 0.6869 | 59.75 | 175.0 | 0.6748 | 25.4884 | 98.084 | 12.28 | 42.5 | 59.5 |
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+ | 45000 | 0.7273 | 53.75 | 146.0 | 0.5747 | 25.4692 | 98.158 | 12.289 | 36.0 | 51.25 |
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+ | 47500 | 0.7677 | 53.0 | 136.0 | 0.5532 | 25.4941 | 98.062 | 12.277 | 34.25 | 38.25 |
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+ | 50000 | 0.8081 | 52.25 | 139.0 | 0.5372 | 25.4685 | 98.16 | 12.29 | 33.25 | 43.25 |
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+ | 52500 | 0.8485 | 50.75 | 131.0 | 0.5245 | 25.4289 | 98.313 | 12.309 | 33.5 | 37.0 |
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+ | 55000 | 0.8889 | 50.5 | 128.0 | 0.5085 | 25.4853 | 98.096 | 12.282 | 32.25 | 35.25 |
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+ | 57500 | 0.9293 | 50.0 | 127.0 | 0.5024 | 25.483 | 98.105 | 12.283 | 31.875 | 33.75 |
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+ | 60000 | 0.9697 | 49.75 | 126.0 | 0.4989 | 25.4171 | 98.359 | 12.315 | 31.625 | 33.25 |
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+ | 61875 | 1.0 | 49.75 | 126.5 | 0.4982 | 25.4751 | 98.135 | 12.286 | 31.75 | 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=25.0, loss_fn=kl, 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=kl, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f0373c842b0>`
126
  - student_model_name_or_path: `None`
127
  - student_config_name_or_path: `None`
128
  - student_model_config: `None`
logs/attn_loss_fn=kl, attn_weight=25.0, layer_mapper=all, projector=linear/events.out.tfevents.1724419748.e3f806ea38c9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:9a9e9691b5fcff94dec6d268f0773d1fc0fddd5eaec8f6a1c1ef16ae5ea92397
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