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--- |
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base_model: roneneldan/TinyStories-33M |
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library_name: Distily |
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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_obj_cross_v2 |
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results: [] |
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--- |
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# distily_bench_obj_cross_v2 |
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This student model is distilled from the teacher model [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) 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: 5868.0605 |
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- eval_frwikippl: 32990.6758 |
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- eval_zhwikippl: 54785.7930 |
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- eval_tinystoriesppl: 2293.1941 |
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- eval_loss: 4.9180 |
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- eval_runtime: 13.0935 |
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- eval_samples_per_second: 76.374 |
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- eval_steps_per_second: 9.547 |
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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=2.0, loss_fn=mse, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None)) |
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- train_embeddings: True |
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- learning_rate: 0.0004 |
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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: cosine_with_restarts |
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- num_epochs: 1.0 |
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### Resource Usage |
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Peak GPU Memory: 8.1729 GB |
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### Eval-Phase Metrics |
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl | |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | |
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| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 | |
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| 0 | 0 | 34961.5352 | 67685.8906 | 6.4082 | 13.0484 | 76.638 | 9.58 | 22307.2852 | 64899.9219 | |
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| 1000 | 0.0808 | 5926.0762 | 32934.9414 | 4.9183 | 13.0602 | 76.568 | 9.571 | 2332.1941 | 55049.4961 | |
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| 2000 | 0.1616 | 5852.6240 | 32990.6758 | 4.9180 | 13.0475 | 76.643 | 9.58 | 2287.5139 | 54785.7930 | |
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| 3000 | 0.2424 | 5843.5669 | 32990.6758 | 4.9177 | 13.045 | 76.658 | 9.582 | 2281.4705 | 54785.7930 | |
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| 4000 | 0.3232 | 5878.9780 | 32990.6758 | 4.9180 | 13.0627 | 76.554 | 9.569 | 2303.0730 | 54815.0078 | |
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| 5000 | 0.4040 | 5868.0605 | 32990.6758 | 4.9180 | 13.0226 | 76.789 | 9.599 | 2295.0898 | 54815.0078 | |
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| 6000 | 0.4848 | 5867.1484 | 32990.6758 | 4.9180 | 13.0139 | 76.841 | 9.605 | 2291.6780 | 54785.7930 | |
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| 7000 | 0.5657 | 5869.8799 | 32990.6758 | 4.9177 | 13.0183 | 76.815 | 9.602 | 2297.7485 | 54815.0078 | |
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| 8000 | 0.6465 | 5868.0605 | 32990.6758 | 4.9180 | 13.084 | 76.429 | 9.554 | 2294.3315 | 54815.0078 | |
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| 9000 | 0.7273 | 5868.0605 | 32990.6758 | 4.9180 | 13.0935 | 76.374 | 9.547 | 2293.1941 | 54785.7930 | |
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| 10000 | 0.8081 | 5845.3784 | 32990.6758 | 4.9177 | 13.0045 | 76.896 | 9.612 | 2282.6021 | 54785.7930 | |
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| 11000 | 0.8889 | 5848.9976 | 32990.6758 | 4.9177 | 13.0015 | 76.914 | 9.614 | 2284.8682 | 54785.7930 | |
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| 12000 | 0.9697 | 5868.0605 | 32990.6758 | 4.9183 | 13.0386 | 76.696 | 9.587 | 2296.9883 | 54815.0078 | |
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| 12375 | 1.0 | 5868.0605 | 32990.6758 | 4.9183 | 13.0038 | 76.9 | 9.613 | 2296.9883 | 54815.0078 | |
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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 2.21.0 |
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