---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_obj_cross_v2.13_gpt2
  results: []
---

# distily_bench_obj_cross_v2.13_gpt2

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: 1272.0
- eval_frwikippl: 5952.0
- eval_zhwikippl: 45056.0
- eval_tinystoriesppl: 816.0
- eval_loss: 2.4585
- eval_runtime: 13.0264
- eval_samples_per_second: 46.06
- eval_steps_per_second: 11.515

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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=1.0, loss_fn=mse, layer_mapper=uniform+last, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
- train_embeddings: True
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 1.0

### Resource Usage
Peak GPU Memory: 8.0905 GB

### Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** |  | 43.75 | 61.75 |  |  |  |  | 11.8125 | 19.125 |
| 0 | 0 | 1821066133504.0 | 158329674399744.0 | 19.3254 | 13.0759 | 45.886 | 11.471 | 12079595520.0 | 98956046499840.0 |
| 750 | 0.1010 | 1272.0 | 5952.0 | 2.4585 | 13.0264 | 46.06 | 11.515 | 816.0 | 45056.0 |
| 1500 | 0.2020 | 508.0 | 3248.0 | 1.7942 | 12.914 | 46.461 | 11.615 | 352.0 | 736.0 |
| 2250 | 0.3030 | 338.0 | 1624.0 | 1.5662 | 12.8953 | 46.528 | 11.632 | 276.0 | 306.0 |
| 3000 | 0.4040 | 241.0 | 916.0 | 1.3553 | 12.9278 | 46.412 | 11.603 | 209.0 | 186.0 |
| 3750 | 0.5051 | 200.0 | 628.0 | 1.2057 | 12.8882 | 46.554 | 11.639 | 169.0 | 174.0 |
| 4500 | 0.6061 | 158.0 | 512.0 | 1.0599 | 12.8875 | 46.557 | 11.639 | 129.0 | 171.0 |
| 5250 | 0.7071 | 128.0 | 460.0 | 0.9376 | 12.9282 | 46.41 | 11.603 | 106.5 | 133.0 |
| 6000 | 0.8081 | 118.0 | 416.0 | 0.8788 | 12.8993 | 46.514 | 11.629 | 96.5 | 130.0 |
| 6750 | 0.9091 | 112.5 | 400.0 | 0.8508 | 13.0134 | 46.106 | 11.527 | 92.5 | 126.5 |
| 7425 | 1.0 | 112.0 | 396.0 | 0.8455 | 12.9043 | 46.496 | 11.624 | 91.0 | 126.0 |

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