---
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: 2176.0
- eval_frwikippl: 8832.0
- eval_zhwikippl: 127488.0
- eval_tinystoriesppl: 1776.0
- eval_loss: 3.2370
- eval_runtime: 12.9467
- eval_samples_per_second: 46.344
- eval_steps_per_second: 11.586

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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=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 | 25.4650 | 12.9198 | 46.44 | 11.61 | 12079595520.0 | 98956046499840.0 |
| 750 | 0.1010 | 2176.0 | 8832.0 | 3.2370 | 12.9467 | 46.344 | 11.586 | 1776.0 | 127488.0 |
| 1500 | 0.2020 | 780.0 | 4704.0 | 2.2858 | 12.9531 | 46.321 | 11.58 | 580.0 | 6528.0 |
| 2250 | 0.3030 | 448.0 | 2720.0 | 1.9337 | 12.9786 | 46.23 | 11.558 | 358.0 | 616.0 |
| 3000 | 0.4040 | 318.0 | 1424.0 | 1.6665 | 12.9898 | 46.19 | 11.548 | 252.0 | 264.0 |
| 3750 | 0.5051 | 252.0 | 968.0 | 1.4830 | 12.9776 | 46.233 | 11.558 | 206.0 | 494.0 |
| 4500 | 0.6061 | 187.0 | 680.0 | 1.2771 | 12.9626 | 46.287 | 11.572 | 146.0 | 404.0 |
| 5250 | 0.7071 | 146.0 | 556.0 | 1.1009 | 12.9778 | 46.233 | 11.558 | 113.0 | 224.0 |
| 6000 | 0.8081 | 134.0 | 490.0 | 1.0233 | 12.9863 | 46.202 | 11.551 | 104.0 | 179.0 |
| 6750 | 0.9091 | 125.0 | 464.0 | 0.9838 | 12.985 | 46.207 | 11.552 | 96.0 | 168.0 |
| 7425 | 1.0 | 124.0 | 462.0 | 0.9755 | 13.0256 | 46.063 | 11.516 | 95.0 | 162.0 |

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