---
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: 18151.8379
- eval_frwikippl: 38363.0352
- eval_zhwikippl: 56660.7266
- eval_loss: 0.0004
- eval_runtime: 0.0556
- eval_samples_per_second: 17.976
- eval_steps_per_second: 17.976

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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: 1.2477 GB

### Model Results
`eval_` metrics:

| enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl | epoch | step |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
|  |  |  |  |  |  |  |  | **teacher eval** |
|  |  |  |  |  |  |  | 0 | 0 |
|  |  |  |  |  |  |  | 0.3030 | 30 |
|  |  |  |  |  |  |  | 0.6061 | 60 |
|  |  |  |  |  |  |  | 0.9091 | 90 |
|  |  |  |  |  |  |  | 1.0 | 99 |

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