---
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: 207.7861
- eval_frwikippl: 15066.8408
- eval_zhwikippl: 64727.0352
- eval_tinystoriesppl: 24.1522
- eval_loss: 13.2019
- eval_runtime: 65.4151
- eval_samples_per_second: 76.435
- eval_steps_per_second: 9.554

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## Model description

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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=raw_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 | 18.3162 | 65.6143 | 76.203 | 9.525 | 12321.8145 | 60955.8008 |
| 3000 | 0.0485 | 207.9149 | 15083.8350 | 13.2031 | 65.3099 | 76.558 | 9.57 | 24.1822 | 63920.4375 |
| 6000 | 0.0970 | 207.6253 | 15109.3467 | 13.2019 | 65.2976 | 76.572 | 9.572 | 24.1253 | 65386.5469 |
| 9000 | 0.1455 | 207.7861 | 15066.8408 | 13.2019 | 65.4151 | 76.435 | 9.554 | 24.1522 | 64727.0352 |
| 12000 | 0.1939 | 207.4002 | 15100.8330 | 13.2016 | 65.3491 | 76.512 | 9.564 | 24.0894 | 65229.7188 |
| 15000 | 0.2424 | 207.8023 | 15100.8330 | 13.2017 | 65.4255 | 76.423 | 9.553 | 24.1442 | 65247.1406 |
| 18000 | 0.2909 | 208.3987 | 15075.3359 | 13.2031 | 65.4213 | 76.428 | 9.553 | 24.2462 | 64057.0078 |
| 21000 | 0.3394 | 208.0761 | 15100.8330 | 13.2026 | 65.2706 | 76.604 | 9.576 | 24.2142 | 64537.3164 |
| 24000 | 0.3879 | 207.9955 | 15100.8330 | 13.2027 | 65.2287 | 76.653 | 9.582 | 24.1822 | 64159.6602 |
| 27000 | 0.4364 | 208.3180 | 15058.3516 | 13.2033 | 65.1653 | 76.728 | 9.591 | 24.2272 | 63869.3125 |
| 30000 | 0.4848 | 207.1754 | 15100.8330 | 13.2016 | 65.1169 | 76.785 | 9.598 | 24.0546 | 65229.7188 |
| 33000 | 0.5333 | 208.0761 | 15083.8350 | 13.2026 | 65.2105 | 76.675 | 9.584 | 24.2412 | 64588.9727 |
| 36000 | 0.5818 | 207.1754 | 15066.8408 | 13.2023 | 65.3453 | 76.517 | 9.565 | 24.0715 | 65229.7188 |
| 39000 | 0.6303 | 207.1754 | 15100.8330 | 13.2017 | 65.2569 | 76.62 | 9.578 | 24.0695 | 65229.7188 |
| 42000 | 0.6788 | 207.3681 | 15058.3516 | 13.2021 | 65.2167 | 76.668 | 9.583 | 24.0954 | 64796.1484 |
| 45000 | 0.7273 | 207.9955 | 15100.8330 | 13.2026 | 65.2551 | 76.622 | 9.578 | 24.1982 | 64159.6602 |
| 48000 | 0.7758 | 207.7861 | 15092.3242 | 13.2017 | 65.3187 | 76.548 | 9.568 | 24.1412 | 64727.0352 |
| 51000 | 0.8242 | 208.2050 | 15058.3516 | 13.2029 | 65.2525 | 76.625 | 9.578 | 24.2262 | 64193.8711 |
| 54000 | 0.8727 | 207.7861 | 15100.8330 | 13.2027 | 65.2798 | 76.593 | 9.574 | 24.1362 | 64331.0312 |
| 57000 | 0.9212 | 207.7218 | 15100.8330 | 13.2017 | 65.2646 | 76.611 | 9.576 | 24.1163 | 65125.4180 |
| 60000 | 0.9697 | 208.5925 | 15092.3242 | 13.2034 | 65.2233 | 76.66 | 9.582 | 24.2653 | 63869.3125 |
| 61875 | 1.0 | 208.0116 | 15100.8330 | 13.2018 | 65.2936 | 76.577 | 9.572 | 24.2012 | 64917.2539 |

### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.21.0