---
base_model: Qwen/Qwen2-0.5B-Instruct
library_name: distily
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distily_experiments_loss_kl
  results: []
---

# distily_experiments_loss_kl

This student model is distilled from the teacher model [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) 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: 44644.5977
- eval_frwikippl: 57738.3242
- eval_zhwikippl: 350857.0312
- eval_loss: 34.5918
- eval_runtime: 91.6837
- eval_samples_per_second: 10.907
- eval_steps_per_second: 2.727

<!-- 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: kl
- train_embeddings: True
- learning_rate: 4e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0

### Resource Usage
Peak GPU Memory: 18.5713 GB

### Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** |  | 13.0697 | 11.6518 |  |  |  |  | 21.6262 |
| 0 | 0 | 182369.3906 | 181455.125 | 780.3353 | 91.2363 | 10.961 | 2.74 | 180761.6719 |
| 500 | 0.0808 | 86362.2812 | 101159.6328 | 54.5867 | 91.4066 | 10.94 | 2.735 | 232064.5 |
| 1000 | 0.1616 | 69487.6797 | 86111.1172 | 53.6604 | 91.4579 | 10.934 | 2.733 | 345169.5312 |
| 1500 | 0.2424 | 82681.5703 | 89315.8984 | 35.7168 | 91.5034 | 10.929 | 2.732 | 445378.8125 |
| 2000 | 0.3232 | 57160.3164 | 68079.1016 | 35.2824 | 91.7023 | 10.905 | 2.726 | 518689.375 |
| 2500 | 0.4040 | 51816.1094 | 64056.9492 | 35.1557 | 91.637 | 10.913 | 2.728 | 541196.6875 |
| 3000 | 0.4848 | 48757.2461 | 61247.7969 | 34.9901 | 91.7102 | 10.904 | 2.726 | 490950.375 |
| 3500 | 0.5657 | 46986.8359 | 60241.9648 | 34.8887 | 91.7509 | 10.899 | 2.725 | 494001.2812 |
| 4000 | 0.6465 | 45312.1992 | 58663.0117 | 34.8189 | 91.5035 | 10.929 | 2.732 | 481694.25 |
| 4500 | 0.7273 | 44666.1914 | 58929.5781 | 34.8044 | 91.6675 | 10.909 | 2.727 | 422349.9062 |
| 5000 | 0.8081 | 44634.5938 | 59004.7656 | 34.6895 | 91.5871 | 10.919 | 2.73 | 366104.7188 |
| 5500 | 0.8889 | 43732.4805 | 57270.8125 | 34.6591 | 91.6394 | 10.912 | 2.728 | 369470.4688 |
| 6000 | 0.9697 | 43799.5938 | 57096.7930 | 34.6125 | 91.6634 | 10.909 | 2.727 | 372021.5 |
| 6187 | 0.9999 | 44644.5977 | 57738.3242 | 34.5918 | 91.6837 | 10.907 | 2.727 | 350857.0312 |

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