---
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: 212.2672
- eval_frwikippl: 1352.8285
- eval_zhwikippl: 811.8465
- eval_loss: 1.2429
- eval_runtime: 17.2351
- eval_samples_per_second: 58.021
- eval_steps_per_second: 7.253

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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=mse, 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: 8.2202 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 | 58954.875 | 57690.6602 | 5.9433 | 17.2113 | 58.101 | 7.263 | 54707.1133 |
| 1000 | 0.0808 | 710.2846 | 4396.9824 | 1.9296 | 17.117 | 58.421 | 7.303 | 18078.0879 |
| 2000 | 0.1616 | 503.9694 | 3086.3142 | 1.7454 | 17.2903 | 57.836 | 7.229 | 2703.2686 |
| 3000 | 0.2424 | 420.6563 | 2955.9736 | 1.6378 | 17.2224 | 58.064 | 7.258 | 1477.8748 |
| 4000 | 0.3232 | 367.0064 | 2704.3167 | 1.5544 | 17.2208 | 58.069 | 7.259 | 851.8279 |
| 5000 | 0.4040 | 317.6482 | 2113.5315 | 1.4722 | 17.1418 | 58.337 | 7.292 | 1214.1425 |
| 6000 | 0.4848 | 276.7272 | 1629.8280 | 1.3995 | 17.1258 | 58.392 | 7.299 | 813.5826 |
| 7000 | 0.5657 | 250.8947 | 1553.0933 | 1.3412 | 17.2475 | 57.979 | 7.247 | 773.1216 |
| 8000 | 0.6465 | 228.6603 | 1347.1174 | 1.2915 | 17.2115 | 58.101 | 7.263 | 716.5538 |
| 9000 | 0.7273 | 212.2672 | 1352.8285 | 1.2429 | 17.2351 | 58.021 | 7.253 | 811.8465 |
| 10000 | 0.8081 | 193.2158 | 1189.5732 | 1.1981 | 17.1888 | 58.177 | 7.272 | 670.6308 |
| 11000 | 0.8889 | 178.6132 | 1058.1842 | 1.1502 | 17.2336 | 58.026 | 7.253 | 653.9169 |
| 12000 | 0.9697 | 165.5636 | 977.5611 | 1.1143 | 17.2114 | 58.101 | 7.263 | 509.6881 |
| 12375 | 1.0 | 160.1887 | 948.9035 | 1.0983 | 17.1765 | 58.219 | 7.277 | 518.8907 |

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