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---
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: 3251.3369
- eval_frwikippl: 12842.3994
- eval_zhwikippl: 91987.7734
- eval_loss: 2288.0
- eval_runtime: 0.0553
- eval_samples_per_second: 18.087
- eval_steps_per_second: 18.087
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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: 1.2452GB
### Model Results
| epoch | eval_enwikippl | eval_frwikippl | eval_loss | eval_runtime | eval_samples_per_second | eval_steps_per_second | eval_zhwikippl | step |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 58331.5781 | 58190.1172 | 6944.0 | 0.0763 | 13.107 | 13.107 | 54568.5117 | 0 |
| 0.5025 | 2778.4973 | 13039.9355 | 2080.0 | 0.0561 | 17.833 | 17.833 | 100748.5312 | 100 |
| 0.7538 | 2581.9565 | 12580.9199 | 2048.0 | 0.0551 | 18.153 | 18.153 | 110134.0156 | 150 |
| 0.2513 | 3251.3369 | 12842.3994 | 2288.0 | 0.0553 | 18.087 | 18.087 | 91987.7734 | 50 |
### Framework versions
- Distily 0.1.0
- Transformers 4.43.3
- Pytorch 2.3.0
- Datasets 2.20.0
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