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---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_activation_loss
results: []
---
# distily_bench_gpt2_activation_loss
This student model is distilled from the teacher model [gpt2](https://huggingface.co/gpt2) using the dataset (unspecified).
The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
It achieves the following results on the evaluation set:
- eval_enwikippl: 215.7906
- eval_frwikippl: 1306.3361
- eval_zhwikippl: 583.5945
- eval_loss: 1.2753
- eval_runtime: 34.5544
- eval_samples_per_second: 57.88
- eval_steps_per_second: 7.235
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- distillation_objective: MultiObjective(logits_weight=1, logits_loss_fn=(fn:kl_divergence_loss()), hs_weight=0.2, hs_loss_fn=(fn:soft_cross_entropy_loss()), attn_weight=0, attn_loss_fn=(fn:soft_mse_loss()))
- train_embeddings: True
- learning_rate: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
### Resource Usage
Peak GPU Memory: 8.0904 GB
### Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** | | 30.2086 | 57.2728 | | | | | 18.1784 |
| 0 | 0 | 55317.8945 | 54673.0039 | 5.9451 | 34.3869 | 58.162 | 7.27 | 59699.7266 |
| 1000 | 0.0404 | 730.1941 | 4645.5654 | 1.9777 | 34.4565 | 58.044 | 7.256 | 11835.6895 |
| 2000 | 0.0808 | 512.3346 | 3066.7913 | 1.7886 | 34.514 | 57.947 | 7.243 | 2242.3167 |
| 3000 | 0.1212 | 429.5358 | 2881.4824 | 1.6761 | 34.5666 | 57.859 | 7.232 | 1026.3900 |
| 4000 | 0.1616 | 373.7652 | 2655.5688 | 1.5906 | 34.614 | 57.78 | 7.223 | 763.8854 |
| 5000 | 0.2020 | 325.4127 | 2080.4141 | 1.5114 | 34.571 | 57.852 | 7.231 | 852.0554 |
| 6000 | 0.2424 | 283.6897 | 1739.0519 | 1.4385 | 34.537 | 57.909 | 7.239 | 678.3768 |
| 7000 | 0.2828 | 258.3082 | 1566.5100 | 1.3779 | 34.3495 | 58.225 | 7.278 | 772.5022 |
| 8000 | 0.3232 | 234.4317 | 1380.9691 | 1.3265 | 34.584 | 57.83 | 7.229 | 688.6912 |
| 9000 | 0.3636 | 215.7906 | 1306.3361 | 1.2753 | 34.5544 | 57.88 | 7.235 | 583.5945 |
| 10000 | 0.4040 | 198.0003 | 1188.5668 | 1.2276 | 34.6027 | 57.799 | 7.225 | 564.3576 |
| 11000 | 0.4444 | 181.9449 | 1205.6156 | 1.1866 | 34.6424 | 57.733 | 7.217 | 871.1540 |
| 12000 | 0.4848 | 168.2595 | 991.4434 | 1.1379 | 34.5542 | 57.88 | 7.235 | 533.5765 |
| 13000 | 0.5253 | 158.1617 | 921.2160 | 1.1068 | 34.2816 | 58.34 | 7.293 | 551.3958 |
| 14000 | 0.5657 | 150.2365 | 856.6271 | 1.0792 | 34.3516 | 58.221 | 7.278 | 696.3668 |
| 15000 | 0.6061 | 144.5713 | 878.8344 | 1.0595 | 34.5245 | 57.93 | 7.241 | 519.5146 |
| 16000 | 0.6465 | 139.2169 | 769.8428 | 1.0385 | 34.5444 | 57.896 | 7.237 | 485.0522 |
| 17000 | 0.6869 | 137.1886 | 707.7368 | 1.0232 | 34.5043 | 57.964 | 7.245 | 714.2610 |
| 18000 | 0.7273 | 133.8944 | 712.3927 | 1.0136 | 34.5983 | 57.806 | 7.226 | 653.7423 |
| 19000 | 0.7677 | 130.7503 | 663.3331 | 1.0010 | 34.4715 | 58.019 | 7.252 | 561.5013 |
| 20000 | 0.8081 | 129.0055 | 645.0233 | 0.9909 | 34.3899 | 58.157 | 7.27 | 516.6090 |
| 21000 | 0.8485 | 127.4918 | 689.9504 | 0.9901 | 34.443 | 58.067 | 7.258 | 434.3951 |
| 22000 | 0.8889 | 123.1615 | 682.8845 | 0.9756 | 34.5625 | 57.866 | 7.233 | 450.5237 |
| 23000 | 0.9293 | 123.7943 | 689.0751 | 0.9766 | 35.1251 | 56.939 | 7.117 | 593.8933 |
| 24000 | 0.9697 | 121.1035 | 699.7977 | 0.9661 | 34.5693 | 57.855 | 7.232 | 1115.5807 |
| 24750 | 1.0 | 123.4295 | 640.9431 | 0.9586 | 34.5071 | 57.959 | 7.245 | 447.3463 |
### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.20.0
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