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---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_attn
results: []
---
# distily_bench_gpt2_attn
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: 207.4599
- eval_frwikippl: 1342.3768
- eval_zhwikippl: 657.2436
- eval_loss: 1.3331
- eval_runtime: 17.3049
- eval_samples_per_second: 57.787
- eval_steps_per_second: 7.223
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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: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=2.0, loss_fn=kl, layer_mapper=None, projector=None))
- 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: 8.2195 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 | 55429.6875 | 57698.8047 | 6.1743 | 17.396 | 57.484 | 7.186 | 56988.9141 |
| 1000 | 0.0808 | 682.2277 | 4513.8320 | 2.0387 | 17.3415 | 57.665 | 7.208 | 21742.0879 |
| 2000 | 0.1616 | 493.2831 | 3192.1013 | 1.8548 | 17.3304 | 57.702 | 7.213 | 1917.9761 |
| 3000 | 0.2424 | 408.6152 | 2650.7046 | 1.7483 | 17.3279 | 57.71 | 7.214 | 937.2945 |
| 4000 | 0.3232 | 362.1653 | 2422.9863 | 1.6582 | 17.3944 | 57.49 | 7.186 | 807.3055 |
| 5000 | 0.4040 | 311.0092 | 2075.7251 | 1.5707 | 17.3884 | 57.51 | 7.189 | 967.0451 |
| 6000 | 0.4848 | 271.9341 | 1744.2100 | 1.4998 | 17.372 | 57.564 | 7.195 | 798.9407 |
| 7000 | 0.5657 | 249.6316 | 1538.4886 | 1.4376 | 17.3071 | 57.78 | 7.222 | 768.1817 |
| 8000 | 0.6465 | 225.5740 | 1397.4233 | 1.3836 | 17.3097 | 57.771 | 7.221 | 701.6876 |
| 9000 | 0.7273 | 207.4599 | 1342.3768 | 1.3331 | 17.3049 | 57.787 | 7.223 | 657.2436 |
| 10000 | 0.8081 | 189.0748 | 1151.9358 | 1.2846 | 17.3724 | 57.563 | 7.195 | 561.3511 |
| 11000 | 0.8889 | 173.5948 | 1120.0602 | 1.2337 | 17.3912 | 57.5 | 7.188 | 488.3670 |
| 12000 | 0.9697 | 157.5976 | 1006.0906 | 1.1896 | 17.3686 | 57.575 | 7.197 | 640.5209 |
| 12375 | 1.0 | 156.4636 | 960.7520 | 1.1773 | 17.446 | 57.32 | 7.165 | 627.6509 |
### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.20.0
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