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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: 212.2672 |
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- eval_frwikippl: 1352.8285 |
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- eval_zhwikippl: 811.8465 |
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- eval_loss: 1.2429 |
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- eval_runtime: 17.2351 |
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- eval_samples_per_second: 58.021 |
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- eval_steps_per_second: 7.253 |
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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=mse, 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: 8.2202 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 | 58954.875 | 57690.6602 | 5.9433 | 17.2113 | 58.101 | 7.263 | 54707.1133 | |
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| 1000 | 0.0808 | 710.2846 | 4396.9824 | 1.9296 | 17.117 | 58.421 | 7.303 | 18078.0879 | |
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| 2000 | 0.1616 | 503.9694 | 3086.3142 | 1.7454 | 17.2903 | 57.836 | 7.229 | 2703.2686 | |
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| 3000 | 0.2424 | 420.6563 | 2955.9736 | 1.6378 | 17.2224 | 58.064 | 7.258 | 1477.8748 | |
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| 4000 | 0.3232 | 367.0064 | 2704.3167 | 1.5544 | 17.2208 | 58.069 | 7.259 | 851.8279 | |
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| 5000 | 0.4040 | 317.6482 | 2113.5315 | 1.4722 | 17.1418 | 58.337 | 7.292 | 1214.1425 | |
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| 6000 | 0.4848 | 276.7272 | 1629.8280 | 1.3995 | 17.1258 | 58.392 | 7.299 | 813.5826 | |
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| 7000 | 0.5657 | 250.8947 | 1553.0933 | 1.3412 | 17.2475 | 57.979 | 7.247 | 773.1216 | |
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| 8000 | 0.6465 | 228.6603 | 1347.1174 | 1.2915 | 17.2115 | 58.101 | 7.263 | 716.5538 | |
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| 9000 | 0.7273 | 212.2672 | 1352.8285 | 1.2429 | 17.2351 | 58.021 | 7.253 | 811.8465 | |
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| 10000 | 0.8081 | 193.2158 | 1189.5732 | 1.1981 | 17.1888 | 58.177 | 7.272 | 670.6308 | |
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| 11000 | 0.8889 | 178.6132 | 1058.1842 | 1.1502 | 17.2336 | 58.026 | 7.253 | 653.9169 | |
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| 12000 | 0.9697 | 165.5636 | 977.5611 | 1.1143 | 17.2114 | 58.101 | 7.263 | 509.6881 | |
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| 12375 | 1.0 | 160.1887 | 948.9035 | 1.0983 | 17.1765 | 58.219 | 7.277 | 518.8907 | |
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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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