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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: 208.9635 |
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- eval_frwikippl: 1351.4938 |
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- eval_zhwikippl: 781.2166 |
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- eval_loss: 19.7940 |
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- eval_runtime: 17.3332 |
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- eval_samples_per_second: 57.693 |
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- eval_steps_per_second: 7.212 |
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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=ce, 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 | 55429.6875 | 57698.8047 | 24.5150 | 17.4179 | 57.412 | 7.177 | 56988.9141 | |
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| 1000 | 0.0808 | 702.9320 | 4403.8062 | 20.5050 | 17.3512 | 57.633 | 7.204 | 19095.4688 | |
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| 2000 | 0.1616 | 507.8192 | 3252.5339 | 20.3170 | 17.3451 | 57.653 | 7.207 | 2454.8054 | |
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| 3000 | 0.2424 | 418.1162 | 2743.4949 | 20.2070 | 17.3188 | 57.741 | 7.218 | 1193.5658 | |
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| 4000 | 0.3232 | 372.6640 | 2567.2002 | 20.1200 | 17.2361 | 58.018 | 7.252 | 1026.6641 | |
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| 5000 | 0.4040 | 320.0249 | 2154.7588 | 20.0340 | 17.3151 | 57.753 | 7.219 | 1183.4081 | |
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| 6000 | 0.4848 | 278.3867 | 1778.2332 | 19.9610 | 17.3435 | 57.658 | 7.207 | 869.0625 | |
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| 7000 | 0.5657 | 251.7534 | 1568.9419 | 19.9040 | 17.4023 | 57.464 | 7.183 | 807.5215 | |
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| 8000 | 0.6465 | 230.5502 | 1399.7903 | 19.8380 | 17.3855 | 57.519 | 7.19 | 816.4125 | |
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| 9000 | 0.7273 | 208.9635 | 1351.4938 | 19.7940 | 17.3332 | 57.693 | 7.212 | 781.2166 | |
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| 10000 | 0.8081 | 192.8560 | 1211.9225 | 19.7530 | 17.3032 | 57.793 | 7.224 | 608.5041 | |
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| 11000 | 0.8889 | 179.3916 | 1140.7820 | 19.6930 | 17.2721 | 57.897 | 7.237 | 624.0573 | |
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| 12000 | 0.9697 | 161.3999 | 997.4732 | 19.6480 | 17.21 | 58.106 | 7.263 | 560.2280 | |
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| 12375 | 1.0 | 158.3214 | 948.9705 | 19.6380 | 17.3071 | 57.78 | 7.222 | 575.3149 | |
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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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