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--- |
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base_model: roneneldan/TinyStories-33M |
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library_name: Distily |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distily_bench_obj_cross |
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results: [] |
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--- |
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# distily_bench_obj_cross |
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This student model is distilled from the teacher model [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) 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: 150.6954 |
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- eval_frwikippl: 20983.1934 |
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- eval_zhwikippl: 163274.0312 |
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- eval_tinystoriesppl: 13.6584 |
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- eval_loss: 2.1824 |
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- eval_runtime: 65.7475 |
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- eval_samples_per_second: 76.049 |
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- eval_steps_per_second: 9.506 |
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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_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=10.0, loss_fn=mse, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=mse, layer_mapper=None, projector=None)) |
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- train_embeddings: True |
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- learning_rate: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 8.2666 GB |
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### Eval-Phase Metrics |
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl | |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | |
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| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 | |
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| 0 | 0 | 15507.5488 | 57030.9961 | 5.9658 | 65.2151 | 76.669 | 9.584 | 7965.0278 | 102309.4219 | |
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| 3000 | 0.0485 | 150.3223 | 21042.3887 | 2.1825 | 65.2954 | 76.575 | 9.572 | 13.5953 | 164147.5625 | |
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| 6000 | 0.0970 | 150.5029 | 21042.3887 | 2.1824 | 65.675 | 76.132 | 9.517 | 13.6268 | 164498.2812 | |
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| 9000 | 0.1455 | 150.6954 | 20983.1934 | 2.1824 | 65.7475 | 76.049 | 9.506 | 13.6584 | 163274.0312 | |
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| 12000 | 0.1939 | 150.3514 | 20983.1934 | 2.1823 | 65.8055 | 75.981 | 9.498 | 13.6251 | 162882.4219 | |
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| 15000 | 0.2424 | 150.6196 | 21042.3887 | 2.1824 | 65.3959 | 76.457 | 9.557 | 13.6482 | 164147.5625 | |
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| 18000 | 0.2909 | 150.6487 | 21042.3887 | 2.1824 | 65.5594 | 76.267 | 9.533 | 13.6533 | 163797.5938 | |
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| 21000 | 0.3394 | 150.3980 | 21042.3887 | 2.1824 | 65.4773 | 76.362 | 9.545 | 13.6234 | 163972.4844 | |
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| 24000 | 0.3879 | 150.5495 | 21131.4961 | 2.1825 | 65.4348 | 76.412 | 9.551 | 13.6184 | 164849.75 | |
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| 27000 | 0.4364 | 150.7538 | 21042.3887 | 2.1822 | 65.4127 | 76.438 | 9.555 | 13.6635 | 162925.9219 | |
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| 30000 | 0.4848 | 150.6954 | 21042.3887 | 2.1825 | 65.4113 | 76.439 | 9.555 | 13.6510 | 164586.0 | |
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| 33000 | 0.5333 | 151.0109 | 20983.1934 | 2.1823 | 65.6274 | 76.188 | 9.523 | 13.6832 | 163186.8594 | |
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| 36000 | 0.5818 | 150.3514 | 21042.3887 | 2.1824 | 65.4107 | 76.44 | 9.555 | 13.6184 | 164586.0 | |
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| 39000 | 0.6303 | 150.6020 | 20983.1934 | 2.1823 | 65.415 | 76.435 | 9.554 | 13.6550 | 163884.9375 | |
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| 42000 | 0.6788 | 150.5495 | 21042.3887 | 2.1823 | 65.3696 | 76.488 | 9.561 | 13.6454 | 163186.8594 | |
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| 45000 | 0.7273 | 150.3223 | 20995.0234 | 2.1824 | 65.7092 | 76.093 | 9.512 | 13.6257 | 163274.0312 | |
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| 48000 | 0.7758 | 150.8706 | 21042.3887 | 2.1824 | 65.5511 | 76.276 | 9.535 | 13.6652 | 163186.8594 | |
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| 51000 | 0.8242 | 150.8940 | 21006.8594 | 2.1823 | 65.6118 | 76.206 | 9.526 | 13.6719 | 163186.8594 | |
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| 54000 | 0.8727 | 150.4738 | 20918.2773 | 2.1824 | 65.6557 | 76.155 | 9.519 | 13.6539 | 162925.9219 | |
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| 57000 | 0.9212 | 150.4446 | 21042.3887 | 2.1824 | 65.3885 | 76.466 | 9.558 | 13.6257 | 163622.8906 | |
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| 60000 | 0.9697 | 150.4097 | 20918.2773 | 2.1824 | 65.4087 | 76.442 | 9.555 | 13.6533 | 162795.4688 | |
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| 61875 | 1.0 | 150.6896 | 21042.3887 | 2.1825 | 65.8705 | 75.907 | 9.488 | 13.6533 | 163972.4844 | |
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### Framework versions |
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- Distily 0.2.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0 |
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- Datasets 2.21.0 |
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