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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: 1360.0 |
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- eval_frwikippl: 5600.0 |
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- eval_zhwikippl: 132096.0 |
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- eval_tinystoriesppl: 904.0 |
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- eval_loss: 3.0667 |
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- eval_runtime: 12.9338 |
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- eval_samples_per_second: 46.39 |
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- eval_steps_per_second: 11.598 |
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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=cos, layer_mapper=all, 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 | 20.2008 | 12.9195 | 46.441 | 11.61 | 12079595520.0 | 98956046499840.0 | |
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| 750 | 0.1010 | 1360.0 | 5600.0 | 3.0667 | 12.9338 | 46.39 | 11.598 | 904.0 | 132096.0 | |
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| 1500 | 0.2020 | 584.0 | 3600.0 | 2.2210 | 12.9258 | 46.419 | 11.605 | 444.0 | 968.0 | |
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| 2250 | 0.3030 | 382.0 | 2024.0 | 1.9283 | 12.9374 | 46.377 | 11.594 | 290.0 | 372.0 | |
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| 3000 | 0.4040 | 268.0 | 1088.0 | 1.6657 | 12.9348 | 46.387 | 11.597 | 230.0 | 204.0 | |
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| 3750 | 0.5051 | 208.0 | 732.0 | 1.4758 | 12.9387 | 46.372 | 11.593 | 174.0 | 218.0 | |
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| 4500 | 0.6061 | 169.0 | 564.0 | 1.2952 | 13.0113 | 46.114 | 11.528 | 145.0 | 142.0 | |
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| 5250 | 0.7071 | 137.0 | 482.0 | 1.1321 | 12.9425 | 46.359 | 11.59 | 111.0 | 139.0 | |
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| 6000 | 0.8081 | 125.0 | 448.0 | 1.0644 | 13.0023 | 46.146 | 11.536 | 100.5 | 123.5 | |
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| 6750 | 0.9091 | 120.0 | 434.0 | 1.0300 | 12.9661 | 46.274 | 11.569 | 96.5 | 119.0 | |
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| 7425 | 1.0 | 119.0 | 430.0 | 1.0247 | 13.1477 | 45.635 | 11.409 | 95.0 | 118.0 | |
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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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