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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_v2.15_gpt2 |
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results: [] |
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--- |
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# distily_bench_obj_cross_v2.15_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: 560.0 |
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- eval_frwikippl: 644.0 |
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- eval_zhwikippl: 488.0 |
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- eval_tinystoriesppl: 284.0 |
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- eval_loss: 0.6086 |
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- eval_runtime: 16.7587 |
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- eval_samples_per_second: 59.67 |
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- eval_steps_per_second: 7.459 |
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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: 0.0001 |
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- train_batch_size: 4 |
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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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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 1.0 |
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### Resource Usage |
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Peak GPU Memory: 7.4226 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 | 1408749273088.0 | 96207267430400.0 | 20.4380 | 16.6447 | 60.079 | 7.51 | 7482638336.0 | 43430709297152.0 | |
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| 1000 | 0.0404 | 1408.0 | 1432.0 | 0.8546 | 16.7128 | 59.835 | 7.479 | 788.0 | 1056.0 | |
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| 2000 | 0.0808 | 988.0 | 928.0 | 0.7631 | 16.6827 | 59.942 | 7.493 | 520.0 | 302.0 | |
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| 3000 | 0.1212 | 836.0 | 760.0 | 0.7155 | 16.633 | 60.121 | 7.515 | 402.0 | 196.0 | |
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| 4000 | 0.1616 | 732.0 | 676.0 | 0.6800 | 16.6836 | 59.939 | 7.492 | 378.0 | 157.0 | |
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| 5000 | 0.2020 | 676.0 | 668.0 | 0.6574 | 16.6514 | 60.055 | 7.507 | 322.0 | 227.0 | |
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| 6000 | 0.2424 | 648.0 | 732.0 | 0.6383 | 16.6833 | 59.94 | 7.493 | 286.0 | 190.0 | |
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| 7000 | 0.2828 | 612.0 | 632.0 | 0.6373 | 16.8106 | 59.486 | 7.436 | 286.0 | 169.0 | |
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| 8000 | 0.3232 | 588.0 | 704.0 | 0.6243 | 16.6588 | 60.028 | 7.504 | 266.0 | 596.0 | |
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| 9000 | 0.3636 | 560.0 | 644.0 | 0.6086 | 16.7587 | 59.67 | 7.459 | 284.0 | 488.0 | |
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| 10000 | 0.4040 | 532.0 | 564.0 | 0.5994 | 16.6696 | 59.989 | 7.499 | 256.0 | 142.0 | |
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| 11000 | 0.4444 | 544.0 | 628.0 | 0.5916 | 16.7004 | 59.879 | 7.485 | 252.0 | 153.0 | |
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| 12000 | 0.4848 | 540.0 | 612.0 | 0.5828 | 16.7602 | 59.665 | 7.458 | 252.0 | 568.0 | |
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| 13000 | 0.5253 | 528.0 | 612.0 | 0.5735 | 16.6596 | 60.025 | 7.503 | 260.0 | 160.0 | |
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| 14000 | 0.5657 | 528.0 | 576.0 | 0.5628 | 16.7207 | 59.806 | 7.476 | 246.0 | 250.0 | |
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| 15000 | 0.6061 | 478.0 | 524.0 | 0.5511 | 16.736 | 59.752 | 7.469 | 232.0 | 170.0 | |
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| 16000 | 0.6465 | 442.0 | 552.0 | 0.5270 | 16.7225 | 59.8 | 7.475 | 228.0 | 214.0 | |
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| 17000 | 0.6869 | 420.0 | 524.0 | 0.4692 | 16.6506 | 60.058 | 7.507 | 212.0 | 174.0 | |
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| 18000 | 0.7273 | 384.0 | 478.0 | 0.4115 | 16.7225 | 59.8 | 7.475 | 208.0 | 144.0 | |
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| 19000 | 0.7677 | 362.0 | 400.0 | 0.3610 | 16.6691 | 59.991 | 7.499 | 195.0 | 128.0 | |
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| 20000 | 0.8081 | 344.0 | 346.0 | 0.3370 | 16.6695 | 59.99 | 7.499 | 184.0 | 107.5 | |
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| 21000 | 0.8485 | 306.0 | 302.0 | 0.3061 | 16.7054 | 59.861 | 7.483 | 161.0 | 110.5 | |
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| 22000 | 0.8889 | 300.0 | 318.0 | 0.2974 | 16.6709 | 59.985 | 7.498 | 160.0 | 84.0 | |
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| 23000 | 0.9293 | 290.0 | 298.0 | 0.2890 | 16.7049 | 59.863 | 7.483 | 162.0 | 103.0 | |
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| 24000 | 0.9697 | 300.0 | 290.0 | 0.2970 | 16.6771 | 59.963 | 7.495 | 164.0 | 85.5 | |
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| 24750 | 1.0 | 280.0 | 290.0 | 0.2782 | 16.74 | 59.737 | 7.467 | 162.0 | 91.5 | |
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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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