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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: 228.1461 |
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- eval_frwikippl: 1416.6694 |
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- eval_zhwikippl: 848.6490 |
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- eval_loss: 2.4667 |
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- eval_runtime: 17.2058 |
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- eval_samples_per_second: 58.12 |
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- eval_steps_per_second: 7.265 |
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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=cos, 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 | 56797.875 | 58468.6992 | 8.0273 | 17.152 | 58.302 | 7.288 | 59002.2891 | |
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| 1000 | 0.0808 | 797.1624 | 5157.9775 | 3.3194 | 17.2397 | 58.006 | 7.251 | 24401.0566 | |
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| 2000 | 0.1616 | 567.0632 | 3629.1594 | 3.0871 | 17.1941 | 58.16 | 7.27 | 3184.9797 | |
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| 3000 | 0.2424 | 464.5085 | 3017.8862 | 2.9667 | 17.2095 | 58.108 | 7.263 | 1129.6726 | |
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| 4000 | 0.3232 | 401.2574 | 2690.6233 | 2.8541 | 17.2873 | 57.846 | 7.231 | 880.7457 | |
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| 5000 | 0.4040 | 348.5625 | 2427.4329 | 2.7534 | 17.2981 | 57.81 | 7.226 | 1079.5291 | |
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| 6000 | 0.4848 | 304.7929 | 2054.1772 | 2.6701 | 17.2106 | 58.104 | 7.263 | 904.3437 | |
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| 7000 | 0.5657 | 277.6311 | 1738.0712 | 2.5931 | 17.2745 | 57.889 | 7.236 | 861.2068 | |
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| 8000 | 0.6465 | 248.1049 | 1555.2847 | 2.5229 | 17.2275 | 58.047 | 7.256 | 875.1184 | |
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| 9000 | 0.7273 | 228.1461 | 1416.6694 | 2.4667 | 17.2058 | 58.12 | 7.265 | 848.6490 | |
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| 10000 | 0.8081 | 208.8987 | 1238.1790 | 2.4113 | 17.26 | 57.938 | 7.242 | 711.3105 | |
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| 11000 | 0.8889 | 194.2086 | 1232.7786 | 2.3591 | 17.2456 | 57.986 | 7.248 | 517.6449 | |
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| 12000 | 0.9697 | 175.7651 | 1108.7455 | 2.3060 | 17.3467 | 57.648 | 7.206 | 513.5140 | |
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| 12375 | 1.0 | 170.5086 | 1069.4347 | 2.2860 | 17.2133 | 58.095 | 7.262 | 531.0175 | |
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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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