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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_v2.10 |
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results: [] |
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--- |
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# distily_bench_obj_cross_v2.10 |
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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: 108.1245 |
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- eval_frwikippl: 11043.4336 |
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- eval_zhwikippl: 55788.7734 |
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- eval_tinystoriesppl: 6.7037 |
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- eval_loss: 0.7047 |
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- eval_runtime: 13.0964 |
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- eval_samples_per_second: 76.357 |
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- eval_steps_per_second: 9.545 |
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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=0, loss_fn=None, layer_mapper=None, projector=None)) |
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- train_embeddings: True |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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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: linear |
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- num_epochs: 1.0 |
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### Resource Usage |
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Peak GPU Memory: 6.6064 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 | 50480.5703 | 85684.4844 | 6.8305 | 13.0511 | 76.622 | 9.578 | 33932.0586 | 94692.1562 | |
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| 5000 | 0.0505 | 107.6398 | 10878.2363 | 0.7372 | 13.0368 | 76.706 | 9.588 | 6.6259 | 48821.6875 | |
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| 10000 | 0.1010 | 103.7832 | 10693.6533 | 0.7210 | 13.0383 | 76.697 | 9.587 | 6.3876 | 52904.0898 | |
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| 15000 | 0.1515 | 113.9463 | 10959.7607 | 0.7146 | 13.0455 | 76.655 | 9.582 | 7.3001 | 55833.4297 | |
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| 20000 | 0.2020 | 102.8906 | 10842.2969 | 0.7117 | 13.0448 | 76.659 | 9.582 | 6.3362 | 55967.6680 | |
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| 25000 | 0.2525 | 107.6648 | 11021.6855 | 0.7063 | 13.0457 | 76.654 | 9.582 | 6.7065 | 55654.9688 | |
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| 30000 | 0.3030 | 107.8986 | 11027.8887 | 0.7052 | 13.0423 | 76.673 | 9.584 | 6.6954 | 55122.9922 | |
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| 35000 | 0.3535 | 107.8986 | 10953.5859 | 0.7051 | 12.9974 | 76.939 | 9.617 | 6.6910 | 54771.1680 | |
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| 40000 | 0.4040 | 107.9989 | 10941.2451 | 0.7053 | 13.0736 | 76.49 | 9.561 | 6.7123 | 55122.9922 | |
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| 45000 | 0.4545 | 107.8317 | 10986.0273 | 0.7051 | 13.0495 | 76.632 | 9.579 | 6.7056 | 55064.1953 | |
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| 50000 | 0.5051 | 107.9905 | 11037.2217 | 0.7049 | 13.0288 | 76.753 | 9.594 | 6.7202 | 55922.9062 | |
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| 55000 | 0.5556 | 108.2753 | 10973.6602 | 0.7051 | 13.0751 | 76.481 | 9.56 | 6.7202 | 54917.4609 | |
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| 60000 | 0.6061 | 108.0324 | 11037.2217 | 0.7052 | 13.0104 | 76.861 | 9.608 | 6.7093 | 55358.7930 | |
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| 65000 | 0.6566 | 108.3089 | 11043.4336 | 0.7049 | 13.0425 | 76.673 | 9.584 | 6.7123 | 55122.9922 | |
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| 70000 | 0.7071 | 108.2418 | 11043.4336 | 0.7047 | 12.9968 | 76.942 | 9.618 | 6.7065 | 55122.9922 | |
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| 75000 | 0.7576 | 107.9069 | 11043.4336 | 0.7046 | 13.0103 | 76.862 | 9.608 | 6.7004 | 55506.7109 | |
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| 80000 | 0.8081 | 108.1915 | 11043.4336 | 0.7047 | 13.0166 | 76.825 | 9.603 | 6.6979 | 55788.7734 | |
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| 85000 | 0.8586 | 108.3089 | 11043.4336 | 0.7045 | 13.0625 | 76.555 | 9.569 | 6.7076 | 55759.0430 | |
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| 90000 | 0.9091 | 108.2083 | 11043.4336 | 0.7047 | 13.0397 | 76.689 | 9.586 | 6.7059 | 55788.7734 | |
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| 95000 | 0.9596 | 108.1999 | 11043.4336 | 0.7045 | 13.0487 | 76.636 | 9.579 | 6.7062 | 55788.7734 | |
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| 99000 | 1.0 | 108.1245 | 11043.4336 | 0.7047 | 13.0964 | 76.357 | 9.545 | 6.7037 | 55788.7734 | |
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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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