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---
base_model: roneneldan/TinyStories-33M
library_name: Distily
tags:
- generated_from_trainer
model-index:
- name: distily_bench_obj_cross
results: []
---
# distily_bench_obj_cross
This student model is distilled from the teacher model [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) using the dataset (unspecified).
The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
It achieves the following results on the evaluation set:
- eval_enwikippl: 158.7294
- eval_frwikippl: 15434.1611
- eval_zhwikippl: 106089.8359
- eval_tinystoriesppl: 15.5930
- eval_loss: 2.3671
- eval_runtime: 65.5679
- eval_samples_per_second: 76.257
- eval_steps_per_second: 9.532
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- 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=10.0, loss_fn=mse, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=mse, layer_mapper=None, projector=None))
- train_embeddings: True
- learning_rate: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
### Resource Usage
Peak GPU Memory: 8.2677 GB
### Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
| 0 | 0 | 21397.4785 | 57946.0117 | 6.1625 | 65.3142 | 76.553 | 9.569 | 12321.8145 | 60955.8008 |
| 3000 | 0.0485 | 158.5205 | 15451.5547 | 2.3672 | 65.4452 | 76.4 | 9.55 | 15.5596 | 105976.6797 |
| 6000 | 0.0970 | 159.4627 | 15519.1768 | 2.3670 | 65.5893 | 76.232 | 9.529 | 15.6570 | 107916.8281 |
| 9000 | 0.1455 | 158.7294 | 15434.1611 | 2.3671 | 65.5679 | 76.257 | 9.532 | 15.5930 | 106089.8359 |
| 12000 | 0.1939 | 159.8214 | 15466.7988 | 2.3670 | 65.4602 | 76.382 | 9.548 | 15.6933 | 107457.1484 |
| 15000 | 0.2424 | 159.5122 | 15501.6934 | 2.3671 | 65.4126 | 76.438 | 9.555 | 15.6648 | 107916.8281 |
| 18000 | 0.2909 | 158.8771 | 15434.1611 | 2.3670 | 65.4041 | 76.448 | 9.556 | 15.5956 | 106033.1953 |
| 21000 | 0.3394 | 159.3146 | 15434.1611 | 2.3671 | 65.4872 | 76.351 | 9.544 | 15.6460 | 106089.8359 |
| 24000 | 0.3879 | 159.4504 | 15434.1611 | 2.3670 | 65.5249 | 76.307 | 9.538 | 15.6589 | 106089.8359 |
| 27000 | 0.4364 | 158.9386 | 15386.3984 | 2.3669 | 65.4767 | 76.363 | 9.545 | 15.6163 | 105581.5391 |
| 30000 | 0.4848 | 159.1728 | 15451.5547 | 2.3671 | 65.3648 | 76.494 | 9.562 | 15.6369 | 107342.5391 |
| 33000 | 0.5333 | 159.8709 | 15466.7988 | 2.3670 | 65.4363 | 76.41 | 9.551 | 15.6965 | 106942.4062 |
| 36000 | 0.5818 | 159.2097 | 15460.2656 | 2.3670 | 65.4686 | 76.373 | 9.547 | 15.6318 | 107629.3516 |
| 39000 | 0.6303 | 158.6066 | 15503.8809 | 2.3670 | 65.5342 | 76.296 | 9.537 | 15.5724 | 107744.2734 |
| 42000 | 0.6788 | 158.5205 | 15468.9824 | 2.3671 | 65.5105 | 76.324 | 9.54 | 15.5576 | 107399.8828 |
| 45000 | 0.7273 | 158.7909 | 15399.4043 | 2.3670 | 65.5316 | 76.299 | 9.537 | 15.6163 | 106089.8359 |
| 48000 | 0.7758 | 158.7909 | 15434.1611 | 2.3671 | 65.4706 | 76.37 | 9.546 | 15.6027 | 106373.1953 |
| 51000 | 0.8242 | 158.8033 | 15425.4648 | 2.3669 | 65.5734 | 76.25 | 9.531 | 15.6169 | 106089.8359 |
| 54000 | 0.8727 | 158.9263 | 15434.1611 | 2.3670 | 65.5021 | 76.333 | 9.542 | 15.6085 | 106486.7812 |
| 57000 | 0.9212 | 159.3887 | 15451.5547 | 2.3671 | 65.5842 | 76.238 | 9.53 | 15.6505 | 107342.5391 |
| 60000 | 0.9697 | 159.4874 | 15390.7422 | 2.3670 | 65.5517 | 76.276 | 9.534 | 15.6641 | 105581.5391 |
| 61875 | 1.0 | 159.6729 | 15492.9736 | 2.3671 | 65.3871 | 76.468 | 9.558 | 15.6926 | 107342.5391 |
### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.21.0
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