---
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: 208.9635
- eval_frwikippl: 1351.4938
- eval_zhwikippl: 781.2166
- eval_loss: 19.7940
- eval_runtime: 17.3332
- eval_samples_per_second: 57.693
- eval_steps_per_second: 7.212

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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=ce, 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 | 24.5150 | 17.4179 | 57.412 | 7.177 | 56988.9141 |
| 1000 | 0.0808 | 702.9320 | 4403.8062 | 20.5050 | 17.3512 | 57.633 | 7.204 | 19095.4688 |
| 2000 | 0.1616 | 507.8192 | 3252.5339 | 20.3170 | 17.3451 | 57.653 | 7.207 | 2454.8054 |
| 3000 | 0.2424 | 418.1162 | 2743.4949 | 20.2070 | 17.3188 | 57.741 | 7.218 | 1193.5658 |
| 4000 | 0.3232 | 372.6640 | 2567.2002 | 20.1200 | 17.2361 | 58.018 | 7.252 | 1026.6641 |
| 5000 | 0.4040 | 320.0249 | 2154.7588 | 20.0340 | 17.3151 | 57.753 | 7.219 | 1183.4081 |
| 6000 | 0.4848 | 278.3867 | 1778.2332 | 19.9610 | 17.3435 | 57.658 | 7.207 | 869.0625 |
| 7000 | 0.5657 | 251.7534 | 1568.9419 | 19.9040 | 17.4023 | 57.464 | 7.183 | 807.5215 |
| 8000 | 0.6465 | 230.5502 | 1399.7903 | 19.8380 | 17.3855 | 57.519 | 7.19 | 816.4125 |
| 9000 | 0.7273 | 208.9635 | 1351.4938 | 19.7940 | 17.3332 | 57.693 | 7.212 | 781.2166 |
| 10000 | 0.8081 | 192.8560 | 1211.9225 | 19.7530 | 17.3032 | 57.793 | 7.224 | 608.5041 |
| 11000 | 0.8889 | 179.3916 | 1140.7820 | 19.6930 | 17.2721 | 57.897 | 7.237 | 624.0573 |
| 12000 | 0.9697 | 161.3999 | 997.4732 | 19.6480 | 17.21 | 58.106 | 7.263 | 560.2280 |
| 12375 | 1.0 | 158.3214 | 948.9705 | 19.6380 | 17.3071 | 57.78 | 7.222 | 575.3149 |

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