---
base_model: gpt2
library_name: distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_linear_objectives
  results: []
---

# distily_bench_gpt2_optim

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: 527.0228
- eval_frwikippl: 3796.0032
- eval_zhwikippl: 4795.4683
- eval_loss: 2376.6721
- eval_runtime: 21.817
- eval_samples_per_second: 45.836
- eval_steps_per_second: 11.459

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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: LinearObjective(logits_weight=1, logits_loss_fn=<function kl_divergence_loss at 0x7f57c4b07910>, activations_weight=1, activations_loss_fn=<function kl_divergence_loss at 0x7f57c4b07910>, attentions_weight=0, attentions_loss_fn=<function mse_loss at 0x7f57c4b07880>)
- train_embeddings: True
- learning_rate: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 4.5067 GB

### Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** |  | 30.2385 | 57.2728 |  |  |  |  | 18.1772 |
| 0 | 0 | 55339.3672 | 57682.5742 | 31197.1836 | 21.7082 | 46.065 | 11.516 | 57080.2930 |
| 500 | 0.0808 | 1509.5735 | 7497.0439 | 3194.9919 | 21.4587 | 46.601 | 11.65 | 50589.3438 |
| 1000 | 0.1616 | 1083.2607 | 5620.3037 | 2923.7439 | 21.5879 | 46.322 | 11.581 | 29616.2285 |
| 1500 | 0.2424 | 906.6083 | 4937.0078 | 2796.2080 | 21.6636 | 46.16 | 11.54 | 21403.5996 |
| 2000 | 0.3232 | 813.4678 | 4877.3267 | 2706.0481 | 21.5303 | 46.446 | 11.612 | 20010.4863 |
| 2500 | 0.4040 | 750.0352 | 4512.8765 | 2636.6079 | 21.6059 | 46.284 | 11.571 | 16546.3457 |
| 3000 | 0.4848 | 704.7218 | 4373.6377 | 2583.7920 | 21.6069 | 46.281 | 11.57 | 14758.0859 |
| 3500 | 0.5657 | 667.2821 | 4153.7866 | 2537.5520 | 21.59 | 46.318 | 11.579 | 14131.2881 |
| 4000 | 0.6465 | 635.3494 | 4060.9749 | 2505.6001 | 21.554 | 46.395 | 11.599 | 13081.5996 |
| 4500 | 0.7273 | 605.6495 | 4037.2766 | 2468.9121 | 21.795 | 45.882 | 11.471 | 11453.9658 |
| 5000 | 0.8081 | 573.4954 | 3881.2524 | 2437.7439 | 21.6801 | 46.125 | 11.531 | 8931.2441 |
| 5500 | 0.8889 | 557.2740 | 3918.3730 | 2413.4880 | 21.5054 | 46.5 | 11.625 | 6643.0454 |
| 6000 | 0.9697 | 549.7523 | 4035.1443 | 2392.2400 | 21.6194 | 46.255 | 11.564 | 5330.4404 |
| 6187 | 0.9999 | 527.0228 | 3796.0032 | 2376.6721 | 21.817 | 45.836 | 11.459 | 4795.4683 |

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