---
base_model: gpt2
library_name: distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2_model_card_distily_test
  results: []
---

# gpt2_model_card_distily_test

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: 18261.1387
- eval_frwikippl: 38633.1055
- eval_zhwikippl: 52085.4805
- eval_loss: 0.0005
- eval_runtime: 0.0656
- eval_samples_per_second: 15.248
- eval_steps_per_second: 15.248

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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_strategy: logits_activations
- loss_fn: reverse_kl
- train_embeddings: True
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Resource Usage
Peak GPU Memory: 1.2411 GB

### Model Results
`eval_` metrics:

| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** |  | 30.2266 | 57.3005 |  |  |  |  | 18.1903 |
| 0 | 0 | 58974.8945 | 59857.6992 | 0.0042 | 0.1173 | 8.525 | 8.525 | 60252.3672 |
| 30 | 0.3030 | 26646.1797 | 43684.125 | 0.0006 | 0.0661 | 15.123 | 15.123 | 53511.3242 |
| 60 | 0.6061 | 18083.6934 | 38626.9922 | 0.0005 | 0.0647 | 15.459 | 15.459 | 53146.3672 |
| 90 | 0.9091 | 18261.8535 | 38627.6914 | 0.0005 | 0.0656 | 15.248 | 15.248 | 52085.4805 |
| 99 | 1.0 | 18261.1387 | 38633.1055 | 0.0005 | 0.0656 | 15.248 | 15.248 | 52085.4805 |

### Framework versions
- Distily 0.1.0
- Transformers 4.43.3
- Pytorch 2.3.0
- Datasets 2.20.0