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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: 12766.3359 |
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- eval_frwikippl: 57742.3438 |
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- eval_zhwikippl: 65334.25 |
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- eval_tinystoriesppl: 4770.0942 |
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- eval_loss: 5.2085 |
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- eval_runtime: 13.0328 |
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- eval_samples_per_second: 76.73 |
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- eval_steps_per_second: 9.591 |
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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-06 |
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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: 6.6048 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 | 61801.5039 | 81001.6719 | 6.4680 | 13.0128 | 76.847 | 9.606 | 44522.7852 | 75358.2109 | |
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| 5000 | 0.0505 | 12766.3359 | 57742.3438 | 5.2085 | 12.9999 | 76.923 | 9.615 | 4771.6733 | 65264.5664 | |
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| 10000 | 0.1010 | 12766.3359 | 57742.3438 | 5.2085 | 13.0144 | 76.838 | 9.605 | 4768.5161 | 65334.25 | |
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| 15000 | 0.1515 | 12766.3359 | 57742.3438 | 5.2085 | 13.0239 | 76.782 | 9.598 | 4770.0942 | 65334.25 | |
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| 20000 | 0.2020 | 12766.3359 | 57742.3438 | 5.2085 | 12.9909 | 76.977 | 9.622 | 4769.3076 | 65334.25 | |
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| 25000 | 0.2525 | 12766.3359 | 57709.8086 | 5.2083 | 13.1403 | 76.102 | 9.513 | 4768.5161 | 65334.25 | |
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| 30000 | 0.3030 | 12766.3359 | 57709.8086 | 5.2083 | 13.0382 | 76.698 | 9.587 | 4768.5161 | 65334.25 | |
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| 35000 | 0.3535 | 12766.3359 | 57742.3438 | 5.2083 | 13.0826 | 76.438 | 9.555 | 4770.0942 | 65334.25 | |
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| 40000 | 0.4040 | 12766.3359 | 57742.3438 | 5.2085 | 13.0472 | 76.645 | 9.581 | 4769.3076 | 65334.25 | |
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| 45000 | 0.4545 | 12766.3359 | 57742.3438 | 5.2085 | 13.1664 | 75.951 | 9.494 | 4770.0942 | 65334.25 | |
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| 50000 | 0.5051 | 12766.3359 | 57742.3438 | 5.2083 | 13.047 | 76.646 | 9.581 | 4768.5161 | 65334.25 | |
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| 55000 | 0.5556 | 12766.3359 | 57742.3438 | 5.2083 | 13.2134 | 75.681 | 9.46 | 4768.5161 | 65334.25 | |
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| 60000 | 0.6061 | 12766.3359 | 57742.3438 | 5.2087 | 13.0275 | 76.761 | 9.595 | 4769.3076 | 65334.25 | |
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| 65000 | 0.6566 | 12766.3359 | 57742.3438 | 5.2083 | 13.1101 | 76.277 | 9.535 | 4768.5161 | 65334.25 | |
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| 70000 | 0.7071 | 12766.3359 | 57742.3438 | 5.2085 | 13.0485 | 76.637 | 9.58 | 4771.6733 | 65334.25 | |
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| 75000 | 0.7576 | 12766.3359 | 57742.3438 | 5.2085 | 13.0209 | 76.8 | 9.6 | 4768.5161 | 65299.4297 | |
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| 80000 | 0.8081 | 12766.3359 | 57742.3438 | 5.2085 | 13.0587 | 76.577 | 9.572 | 4771.6733 | 65334.25 | |
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| 85000 | 0.8586 | 12766.3359 | 57742.3438 | 5.2085 | 13.0404 | 76.685 | 9.586 | 4770.0942 | 65299.4297 | |
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| 90000 | 0.9091 | 12766.3359 | 57742.3438 | 5.2087 | 13.0082 | 76.874 | 9.609 | 4770.0942 | 65334.25 | |
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| 95000 | 0.9596 | 12766.3359 | 57742.3438 | 5.2085 | 13.0077 | 76.878 | 9.61 | 4769.3076 | 65334.25 | |
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| 99000 | 1.0 | 12766.3359 | 57742.3438 | 5.2085 | 13.0328 | 76.73 | 9.591 | 4770.0942 | 65334.25 | |
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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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