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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: 3305.2227
- eval_frwikippl: 13155.6016
- eval_zhwikippl: 73644.4141
- eval_loss: 2480.0
- eval_runtime: 0.0549
- eval_samples_per_second: 18.218
- eval_steps_per_second: 18.218
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
-->
## 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: 1.245255947113037GB
### Model Results
| epoch | eval_enwikippl | eval_frwikippl | eval_loss | eval_runtime | eval_samples_per_second | eval_steps_per_second | eval_zhwikippl | step |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 58716.1836 | 59308.4531 | 6848.0 | 0.078 | 12.815 | 12.815 | 56780.0039 | 0 |
| 0.5025 | 2729.5120 | 12198.3467 | 2288.0 | 0.0559 | 17.885 | 17.885 | 86770.4375 | 100 |
| 0.7538 | 2523.9104 | 11865.6045 | 2240.0 | 0.0557 | 17.969 | 17.969 | 91730.1328 | 150 |
| 0.2513 | 3305.2227 | 13155.6016 | 2480.0 | 0.0549 | 18.218 | 18.218 | 73644.4141 | 50 |
### Framework versions
- Distily 0.1.0
- Transformers 4.43.3
- Pytorch 2.3.0
- Datasets 2.20.0