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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: gpt2_model_card_distily_test |
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results: [] |
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--- |
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# gpt2_model_card_distily_test |
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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: 18261.1387 |
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- eval_frwikippl: 38633.1055 |
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- eval_zhwikippl: 52085.4805 |
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- eval_loss: 0.0005 |
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- eval_runtime: 0.0656 |
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- eval_samples_per_second: 15.248 |
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- eval_steps_per_second: 15.248 |
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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_strategy: logits_activations |
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- loss_fn: reverse_kl |
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- train_embeddings: True |
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- learning_rate: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 2 |
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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: cosine |
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- num_epochs: 1.0 |
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### Resource Usage |
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Peak GPU Memory: 1.2411 GB |
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### Model Results |
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`eval_` 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** | | 30.2266 | 57.3005 | | | | | 18.1903 | |
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| 0 | 0 | 58974.8945 | 59857.6992 | 0.0042 | 0.1173 | 8.525 | 8.525 | 60252.3672 | |
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| 30 | 0.3030 | 26646.1797 | 43684.125 | 0.0006 | 0.0661 | 15.123 | 15.123 | 53511.3242 | |
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| 60 | 0.6061 | 18083.6934 | 38626.9922 | 0.0005 | 0.0647 | 15.459 | 15.459 | 53146.3672 | |
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| 90 | 0.9091 | 18261.8535 | 38627.6914 | 0.0005 | 0.0656 | 15.248 | 15.248 | 52085.4805 | |
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| 99 | 1.0 | 18261.1387 | 38633.1055 | 0.0005 | 0.0656 | 15.248 | 15.248 | 52085.4805 | |
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### Framework versions |
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- Distily 0.1.0 |
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- Transformers 4.43.3 |
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- Pytorch 2.3.0 |
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- Datasets 2.20.0 |
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