---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_activation_loss_b
  results: []
---

# distily_bench_gpt2_activation_loss_b

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: 210.2820
- eval_frwikippl: 1274.1346
- eval_zhwikippl: 583.2827
- eval_loss: 1.2965
- eval_runtime: 17.2526
- eval_samples_per_second: 57.962
- eval_steps_per_second: 7.245

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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=2.0, loss_fn=mse, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, 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: 8.0904 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 | 58037.3203 | 58017.0117 | 6.0237 | 17.2607 | 57.935 | 7.242 | 56038.0625 |
| 1000 | 0.0808 | 715.0994 | 4658.6846 | 2.0131 | 17.1734 | 58.23 | 7.279 | 16350.8623 |
| 2000 | 0.1616 | 508.9246 | 3343.2109 | 1.8201 | 17.2004 | 58.138 | 7.267 | 3102.6990 |
| 3000 | 0.2424 | 419.7101 | 2552.4004 | 1.7020 | 17.1441 | 58.329 | 7.291 | 1042.4126 |
| 4000 | 0.3232 | 361.0421 | 2336.7490 | 1.6177 | 17.0616 | 58.611 | 7.326 | 911.8621 |
| 5000 | 0.4040 | 313.2633 | 1815.2219 | 1.5316 | 17.1786 | 58.212 | 7.276 | 863.9713 |
| 6000 | 0.4848 | 281.3860 | 1725.1301 | 1.4597 | 17.3168 | 57.747 | 7.218 | 705.6341 |
| 7000 | 0.5657 | 253.9131 | 1485.6165 | 1.3999 | 17.1434 | 58.332 | 7.291 | 605.2624 |
| 8000 | 0.6465 | 229.4073 | 1427.2965 | 1.3455 | 17.134 | 58.363 | 7.295 | 629.6656 |
| 9000 | 0.7273 | 210.2820 | 1274.1346 | 1.2965 | 17.2526 | 57.962 | 7.245 | 583.2827 |
| 10000 | 0.8081 | 194.6313 | 1199.3423 | 1.2490 | 17.1679 | 58.248 | 7.281 | 677.5621 |
| 11000 | 0.8889 | 180.3274 | 1160.25 | 1.1980 | 17.1591 | 58.278 | 7.285 | 758.1945 |
| 12000 | 0.9697 | 164.7045 | 1005.8066 | 1.1583 | 17.1824 | 58.199 | 7.275 | 600.1918 |
| 12375 | 1.0 | 161.0243 | 969.7354 | 1.1403 | 17.1939 | 58.16 | 7.27 | 632.9536 |

### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.21.0