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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_gpt2_attn |
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results: [] |
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--- |
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# distily_bench_gpt2_attn |
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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: 207.9922 |
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- eval_frwikippl: 1314.4666 |
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- eval_zhwikippl: 759.8159 |
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- eval_loss: 1.3326 |
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- eval_runtime: 17.3702 |
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- eval_samples_per_second: 57.57 |
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- eval_steps_per_second: 7.196 |
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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=2.0, loss_fn=reverse_kl, 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: 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: 8.2195 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** | | 30.2086 | 57.2728 | | | | | 18.1784 | |
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| 0 | 0 | 55429.6875 | 57698.8047 | 6.1518 | 17.3225 | 57.728 | 7.216 | 56988.9141 | |
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| 1000 | 0.0808 | 693.0135 | 4581.8110 | 2.0460 | 17.3292 | 57.706 | 7.213 | 22366.3984 | |
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| 2000 | 0.1616 | 504.2434 | 3241.0867 | 1.8627 | 17.42 | 57.405 | 7.176 | 1925.1605 | |
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| 3000 | 0.2424 | 416.2050 | 2635.7954 | 1.7568 | 17.2717 | 57.898 | 7.237 | 924.6143 | |
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| 4000 | 0.3232 | 367.7481 | 2426.7476 | 1.6637 | 17.2866 | 57.848 | 7.231 | 843.0013 | |
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| 5000 | 0.4040 | 314.2136 | 2124.5867 | 1.5737 | 17.3864 | 57.516 | 7.19 | 970.9272 | |
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| 6000 | 0.4848 | 274.5013 | 1727.5643 | 1.5012 | 17.3269 | 57.714 | 7.214 | 815.5406 | |
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| 7000 | 0.5657 | 250.4276 | 1508.2014 | 1.4380 | 17.3171 | 57.747 | 7.218 | 763.2737 | |
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| 8000 | 0.6465 | 227.7920 | 1387.4103 | 1.3836 | 17.3674 | 57.579 | 7.197 | 706.1053 | |
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| 9000 | 0.7273 | 207.9922 | 1314.4666 | 1.3326 | 17.3702 | 57.57 | 7.196 | 759.8159 | |
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| 10000 | 0.8081 | 190.8745 | 1171.5941 | 1.2857 | 17.3634 | 57.592 | 7.199 | 598.8307 | |
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| 11000 | 0.8889 | 175.8197 | 1119.1125 | 1.2359 | 17.3533 | 57.626 | 7.203 | 493.6122 | |
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| 12000 | 0.9697 | 159.0854 | 1000.5724 | 1.1915 | 17.3916 | 57.499 | 7.187 | 562.3265 | |
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| 12375 | 1.0 | 157.0114 | 957.9113 | 1.1794 | 17.3573 | 57.613 | 7.202 | 671.0787 | |
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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 2.20.0 |
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