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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_v2.13_gpt2 |
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results: [] |
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--- |
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# distily_bench_obj_cross_v2.13_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: 1272.0 |
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- eval_frwikippl: 5952.0 |
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- eval_zhwikippl: 44800.0 |
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- eval_tinystoriesppl: 816.0 |
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- eval_loss: 2.4588 |
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- eval_runtime: 12.986 |
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- eval_samples_per_second: 46.204 |
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- eval_steps_per_second: 11.551 |
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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=1.0, loss_fn=mse, layer_mapper=last, 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: 0.0001 |
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- train_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.5 |
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- num_epochs: 1.0 |
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### Resource Usage |
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Peak GPU Memory: 8.0905 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** | | 43.75 | 61.75 | | | | | 11.8125 | 19.125 | |
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| 0 | 0 | 1821066133504.0 | 158329674399744.0 | 19.3254 | 12.8793 | 46.586 | 11.647 | 12079595520.0 | 98956046499840.0 | |
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| 750 | 0.1010 | 1272.0 | 5952.0 | 2.4588 | 12.986 | 46.204 | 11.551 | 816.0 | 44800.0 | |
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| 1500 | 0.2020 | 506.0 | 3248.0 | 1.7942 | 13.1654 | 45.574 | 11.393 | 350.0 | 736.0 | |
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| 2250 | 0.3030 | 338.0 | 1632.0 | 1.5655 | 13.13 | 45.697 | 11.424 | 278.0 | 306.0 | |
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| 3000 | 0.4040 | 241.0 | 916.0 | 1.3548 | 13.0817 | 45.865 | 11.466 | 209.0 | 188.0 | |
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| 3750 | 0.5051 | 199.0 | 624.0 | 1.2057 | 13.1347 | 45.68 | 11.42 | 169.0 | 174.0 | |
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| 4500 | 0.6061 | 160.0 | 510.0 | 1.0606 | 13.0674 | 45.916 | 11.479 | 129.0 | 171.0 | |
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| 5250 | 0.7071 | 128.0 | 468.0 | 0.9370 | 13.0344 | 46.032 | 11.508 | 106.5 | 132.0 | |
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| 6000 | 0.8081 | 118.0 | 418.0 | 0.8787 | 13.3306 | 45.009 | 11.252 | 97.0 | 131.0 | |
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| 6750 | 0.9091 | 112.0 | 400.0 | 0.8501 | 13.0719 | 45.9 | 11.475 | 93.0 | 129.0 | |
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| 7425 | 1.0 | 112.0 | 396.0 | 0.8454 | 13.0273 | 46.057 | 11.514 | 91.5 | 128.0 | |
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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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