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--- |
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base_model: Qwen/Qwen2-0.5B-Instruct |
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library_name: distily |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distily_experiments_loss_kl |
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results: [] |
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--- |
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# distily_experiments_loss_kl |
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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). |
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation. |
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It achieves the following results on the evaluation set: |
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- eval_enwikippl: 44644.5977 |
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- eval_frwikippl: 57738.3242 |
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- eval_zhwikippl: 350857.0312 |
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- eval_loss: 34.5918 |
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- eval_runtime: 91.6837 |
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- eval_samples_per_second: 10.907 |
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- eval_steps_per_second: 2.727 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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--> |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- distillation_strategy: logits_activations |
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- loss_fn: kl |
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- train_embeddings: True |
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- learning_rate: 4e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 1.0 |
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### Resource Usage |
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Peak GPU Memory: 18.5713 GB |
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### Eval-Phase Metrics |
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl | |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | |
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| **teacher eval** | | 13.0697 | 11.6518 | | | | | 21.6262 | |
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| 0 | 0 | 182369.3906 | 181455.125 | 780.3353 | 91.2363 | 10.961 | 2.74 | 180761.6719 | |
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| 500 | 0.0808 | 86362.2812 | 101159.6328 | 54.5867 | 91.4066 | 10.94 | 2.735 | 232064.5 | |
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| 1000 | 0.1616 | 69487.6797 | 86111.1172 | 53.6604 | 91.4579 | 10.934 | 2.733 | 345169.5312 | |
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| 1500 | 0.2424 | 82681.5703 | 89315.8984 | 35.7168 | 91.5034 | 10.929 | 2.732 | 445378.8125 | |
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| 2000 | 0.3232 | 57160.3164 | 68079.1016 | 35.2824 | 91.7023 | 10.905 | 2.726 | 518689.375 | |
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| 2500 | 0.4040 | 51816.1094 | 64056.9492 | 35.1557 | 91.637 | 10.913 | 2.728 | 541196.6875 | |
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| 3000 | 0.4848 | 48757.2461 | 61247.7969 | 34.9901 | 91.7102 | 10.904 | 2.726 | 490950.375 | |
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| 3500 | 0.5657 | 46986.8359 | 60241.9648 | 34.8887 | 91.7509 | 10.899 | 2.725 | 494001.2812 | |
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| 4000 | 0.6465 | 45312.1992 | 58663.0117 | 34.8189 | 91.5035 | 10.929 | 2.732 | 481694.25 | |
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| 4500 | 0.7273 | 44666.1914 | 58929.5781 | 34.8044 | 91.6675 | 10.909 | 2.727 | 422349.9062 | |
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| 5000 | 0.8081 | 44634.5938 | 59004.7656 | 34.6895 | 91.5871 | 10.919 | 2.73 | 366104.7188 | |
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| 5500 | 0.8889 | 43732.4805 | 57270.8125 | 34.6591 | 91.6394 | 10.912 | 2.728 | 369470.4688 | |
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| 6000 | 0.9697 | 43799.5938 | 57096.7930 | 34.6125 | 91.6634 | 10.909 | 2.727 | 372021.5 | |
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| 6187 | 0.9999 | 44644.5977 | 57738.3242 | 34.5918 | 91.6837 | 10.907 | 2.727 | 350857.0312 | |
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### Framework versions |
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- Distily 0.1.0 |
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- Transformers 4.43.3 |
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- Pytorch 2.3.0 |
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- Datasets 2.20.0 |
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