---
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: 207.9922
- eval_frwikippl: 1314.4666
- eval_zhwikippl: 759.8159
- eval_loss: 1.3326
- eval_runtime: 17.3702
- eval_samples_per_second: 57.57
- eval_steps_per_second: 7.196

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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=reverse_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 | 6.1518 | 17.3225 | 57.728 | 7.216 | 56988.9141 |
| 1000 | 0.0808 | 693.0135 | 4581.8110 | 2.0460 | 17.3292 | 57.706 | 7.213 | 22366.3984 |
| 2000 | 0.1616 | 504.2434 | 3241.0867 | 1.8627 | 17.42 | 57.405 | 7.176 | 1925.1605 |
| 3000 | 0.2424 | 416.2050 | 2635.7954 | 1.7568 | 17.2717 | 57.898 | 7.237 | 924.6143 |
| 4000 | 0.3232 | 367.7481 | 2426.7476 | 1.6637 | 17.2866 | 57.848 | 7.231 | 843.0013 |
| 5000 | 0.4040 | 314.2136 | 2124.5867 | 1.5737 | 17.3864 | 57.516 | 7.19 | 970.9272 |
| 6000 | 0.4848 | 274.5013 | 1727.5643 | 1.5012 | 17.3269 | 57.714 | 7.214 | 815.5406 |
| 7000 | 0.5657 | 250.4276 | 1508.2014 | 1.4380 | 17.3171 | 57.747 | 7.218 | 763.2737 |
| 8000 | 0.6465 | 227.7920 | 1387.4103 | 1.3836 | 17.3674 | 57.579 | 7.197 | 706.1053 |
| 9000 | 0.7273 | 207.9922 | 1314.4666 | 1.3326 | 17.3702 | 57.57 | 7.196 | 759.8159 |
| 10000 | 0.8081 | 190.8745 | 1171.5941 | 1.2857 | 17.3634 | 57.592 | 7.199 | 598.8307 |
| 11000 | 0.8889 | 175.8197 | 1119.1125 | 1.2359 | 17.3533 | 57.626 | 7.203 | 493.6122 |
| 12000 | 0.9697 | 159.0854 | 1000.5724 | 1.1915 | 17.3916 | 57.499 | 7.187 | 562.3265 |
| 12375 | 1.0 | 157.0114 | 957.9113 | 1.1794 | 17.3573 | 57.613 | 7.202 | 671.0787 |

### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.20.0