---
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: 2144.0
- eval_frwikippl: 8704.0
- eval_zhwikippl: 148480.0
- eval_tinystoriesppl: 1648.0
- eval_loss: 3.2443
- eval_runtime: 12.9651
- eval_samples_per_second: 46.278
- eval_steps_per_second: 11.569

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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=kl, layer_mapper=uniform_cons, 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 | 25.4650 | 12.9053 | 46.493 | 11.623 | 12079595520.0 | 98956046499840.0 |
| 750 | 0.1010 | 2144.0 | 8704.0 | 3.2443 | 12.9651 | 46.278 | 11.569 | 1648.0 | 148480.0 |
| 1500 | 0.2020 | 776.0 | 4800.0 | 2.2942 | 12.9521 | 46.325 | 11.581 | 568.0 | 4736.0 |
| 2250 | 0.3030 | 448.0 | 2832.0 | 1.9334 | 12.9674 | 46.27 | 11.568 | 358.0 | 592.0 |
| 3000 | 0.4040 | 318.0 | 1424.0 | 1.6643 | 13.0049 | 46.136 | 11.534 | 256.0 | 308.0 |
| 3750 | 0.5051 | 249.0 | 912.0 | 1.4761 | 12.9665 | 46.273 | 11.568 | 198.0 | 474.0 |
| 4500 | 0.6061 | 188.0 | 684.0 | 1.2711 | 12.9804 | 46.224 | 11.556 | 152.0 | 354.0 |
| 5250 | 0.7071 | 147.0 | 560.0 | 1.1017 | 12.9809 | 46.222 | 11.555 | 116.0 | 218.0 |
| 6000 | 0.8081 | 134.0 | 490.0 | 1.0242 | 12.9725 | 46.252 | 11.563 | 105.5 | 186.0 |
| 6750 | 0.9091 | 125.5 | 464.0 | 0.9844 | 12.9741 | 46.246 | 11.561 | 99.0 | 175.0 |
| 7425 | 1.0 | 124.0 | 462.0 | 0.9768 | 12.938 | 46.375 | 11.594 | 97.5 | 165.0 |

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