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--- |
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base_model: gpt2 |
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library_name: Distily |
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license: mit |
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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_v2.10_gpt2 |
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results: [] |
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--- |
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# distily_bench_obj_cross_v2.10_gpt2 |
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This student model is distilled from the teacher model [gpt2](https://huggingface.co/gpt2) 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: 401.6902 |
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- eval_frwikippl: 385.9396 |
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- eval_zhwikippl: 137.9653 |
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- eval_tinystoriesppl: 881.4292 |
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- eval_loss: 0.7112 |
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- eval_runtime: 21.2483 |
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- eval_samples_per_second: 47.063 |
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- eval_steps_per_second: 11.766 |
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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=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None)) |
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- train_embeddings: True |
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- learning_rate: 4e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 4 |
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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: linear |
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- num_epochs: 1.0 |
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### Resource Usage |
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Peak GPU Memory: 3.9285 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** | | 270.2348 | 76.8142 | | | | | 671.1238 | 22.8030 | |
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| 0 | 0 | 120078.375 | 1867851235328.0 | 18.7920 | 21.2125 | 47.142 | 11.786 | 72.8770 | 4013754155008.0 | |
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| 5000 | 0.0505 | 621.5149 | 991.7020 | 1.3528 | 21.2177 | 47.13 | 11.783 | 980.0922 | 399.9691 | |
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| 10000 | 0.1010 | 574.4407 | 664.8521 | 1.1590 | 21.2225 | 47.12 | 11.78 | 1036.6780 | 493.8460 | |
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| 15000 | 0.1515 | 543.0890 | 635.0353 | 1.0360 | 21.2351 | 47.092 | 11.773 | 1033.2988 | 145.9157 | |
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| 20000 | 0.2020 | 509.8121 | 599.6746 | 0.9759 | 21.2099 | 47.148 | 11.787 | 985.1690 | 251.1274 | |
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| 25000 | 0.2525 | 448.2854 | 486.9003 | 0.8334 | 21.2284 | 47.107 | 11.777 | 923.3450 | 171.9567 | |
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| 30000 | 0.3030 | 420.2149 | 441.8981 | 0.7741 | 21.2742 | 47.005 | 11.751 | 893.9037 | 129.4944 | |
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| 35000 | 0.3535 | 417.6187 | 442.7548 | 0.7695 | 21.5924 | 46.313 | 11.578 | 884.2755 | 140.6411 | |
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| 40000 | 0.4040 | 419.8570 | 418.2776 | 0.7678 | 21.23 | 47.103 | 11.776 | 893.9774 | 162.6632 | |
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| 45000 | 0.4545 | 420.1905 | 413.8966 | 0.7576 | 21.2355 | 47.091 | 11.773 | 905.9177 | 154.8089 | |
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| 50000 | 0.5051 | 420.9561 | 426.7430 | 0.7544 | 21.2196 | 47.126 | 11.782 | 906.1800 | 147.5501 | |
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| 55000 | 0.5556 | 417.3034 | 409.1867 | 0.7509 | 21.2021 | 47.165 | 11.791 | 902.3304 | 143.7327 | |
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| 60000 | 0.6061 | 418.3230 | 413.0230 | 0.7525 | 21.2367 | 47.088 | 11.772 | 894.0145 | 156.6996 | |
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| 65000 | 0.6566 | 404.0308 | 404.5305 | 0.7221 | 21.2003 | 47.169 | 11.792 | 878.4468 | 136.2006 | |
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| 70000 | 0.7071 | 406.0154 | 392.1317 | 0.7194 | 21.2119 | 47.143 | 11.786 | 891.9106 | 137.0481 | |
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| 75000 | 0.7576 | 400.8665 | 383.9604 | 0.7188 | 21.2118 | 47.144 | 11.786 | 871.7914 | 140.4630 | |
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| 80000 | 0.8081 | 402.5625 | 387.4647 | 0.7168 | 21.2234 | 47.118 | 11.779 | 882.3771 | 141.0827 | |
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| 85000 | 0.8586 | 399.3479 | 385.9124 | 0.7123 | 21.2047 | 47.159 | 11.79 | 875.1130 | 140.0700 | |
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| 90000 | 0.9091 | 401.2549 | 386.7830 | 0.7117 | 21.2316 | 47.1 | 11.775 | 881.0649 | 138.5555 | |
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| 95000 | 0.9596 | 401.4725 | 386.1842 | 0.7112 | 21.2217 | 47.122 | 11.78 | 880.2640 | 138.0389 | |
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| 99000 | 1.0 | 401.6902 | 385.9396 | 0.7112 | 21.2483 | 47.063 | 11.766 | 881.4292 | 137.9653 | |
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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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