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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: 2176.0 |
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- eval_frwikippl: 8832.0 |
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- eval_zhwikippl: 127488.0 |
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- eval_tinystoriesppl: 1776.0 |
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- eval_loss: 3.2370 |
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- eval_runtime: 12.9467 |
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- eval_samples_per_second: 46.344 |
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- eval_steps_per_second: 11.586 |
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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=kl, 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 | 25.4650 | 12.9198 | 46.44 | 11.61 | 12079595520.0 | 98956046499840.0 | |
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| 750 | 0.1010 | 2176.0 | 8832.0 | 3.2370 | 12.9467 | 46.344 | 11.586 | 1776.0 | 127488.0 | |
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| 1500 | 0.2020 | 780.0 | 4704.0 | 2.2858 | 12.9531 | 46.321 | 11.58 | 580.0 | 6528.0 | |
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| 2250 | 0.3030 | 448.0 | 2720.0 | 1.9337 | 12.9786 | 46.23 | 11.558 | 358.0 | 616.0 | |
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| 3000 | 0.4040 | 318.0 | 1424.0 | 1.6665 | 12.9898 | 46.19 | 11.548 | 252.0 | 264.0 | |
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| 3750 | 0.5051 | 252.0 | 968.0 | 1.4830 | 12.9776 | 46.233 | 11.558 | 206.0 | 494.0 | |
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| 4500 | 0.6061 | 187.0 | 680.0 | 1.2771 | 12.9626 | 46.287 | 11.572 | 146.0 | 404.0 | |
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| 5250 | 0.7071 | 146.0 | 556.0 | 1.1009 | 12.9778 | 46.233 | 11.558 | 113.0 | 224.0 | |
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| 6000 | 0.8081 | 134.0 | 490.0 | 1.0233 | 12.9863 | 46.202 | 11.551 | 104.0 | 179.0 | |
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| 6750 | 0.9091 | 125.0 | 464.0 | 0.9838 | 12.985 | 46.207 | 11.552 | 96.0 | 168.0 | |
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| 7425 | 1.0 | 124.0 | 462.0 | 0.9755 | 13.0256 | 46.063 | 11.516 | 95.0 | 162.0 | |
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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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