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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: 30.2266 |
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- eval_frwikippl: 57.3005 |
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- eval_zhwikippl: 18.1903 |
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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: 1.2453 GB |
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### Model Results |
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| epoch | step | eval_enwikippl | eval_frwikippl | eval_loss | eval_runtime | eval_samples_per_second | eval_steps_per_second | eval_zhwikippl | |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | |
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| | teacher | 30.2266 | 57.3005 | | | | | 18.1903 | |
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| 0 | 0 | 53288.7773 | 55702.1719 | 0.0041 | 0.0758 | 13.185 | 13.185 | 55025.875 | |
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| 0.4040 | 40 | 20265.3535 | 39300.7383 | 0.0004 | 0.0554 | 18.059 | 18.059 | 53151.6875 | |
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| 0.8081 | 80 | 17527.1328 | 38131.125 | 0.0004 | 0.0553 | 18.096 | 18.096 | 51728.4688 | |
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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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