---
base_model: roneneldan/TinyStories-33M
library_name: Distily
tags:
- generated_from_trainer
model-index:
- name: distily_bench_obj_cross_v2.8
  results: []
---

# distily_bench_obj_cross_v2.8

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: 198.4185
- eval_frwikippl: 100815.4219
- eval_zhwikippl: 1470416.875
- eval_tinystoriesppl: 10.3978
- eval_loss: 1.2095
- eval_runtime: 6.4972
- eval_samples_per_second: 76.957
- eval_steps_per_second: 9.697

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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=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))
- train_embeddings: True
- learning_rate: 0.004
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Resource Usage
Peak GPU Memory: 6.6047 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 | 11624.0693 | 60523.7891 | 5.8780 | 6.5064 | 76.847 | 9.683 | 4963.9985 | 59716.3516 |
| 5000 | 0.1010 | 198.4185 | 100815.4219 | 1.2095 | 6.4972 | 76.957 | 9.697 | 10.3978 | 1470416.875 |
| 10000 | 0.2020 | 197.7357 | 97196.9141 | 1.2093 | 6.4818 | 77.139 | 9.72 | 10.2892 | 1447451.75 |
| 15000 | 0.3030 | 197.2080 | 98104.7109 | 1.2096 | 6.504 | 76.876 | 9.686 | 10.4405 | 1471986.875 |
| 20000 | 0.4040 | 195.2773 | 97005.4062 | 1.2094 | 6.4752 | 77.218 | 9.729 | 10.1995 | 1422946.875 |
| 25000 | 0.5051 | 196.9104 | 100058.5391 | 1.2099 | 6.4866 | 77.082 | 9.712 | 10.2727 | 1497336.25 |
| 30000 | 0.6061 | 195.8986 | 94337.375 | 1.2099 | 6.4887 | 77.057 | 9.709 | 10.3785 | 1435147.0 |
| 35000 | 0.7071 | 196.9180 | 96216.1797 | 1.2091 | 6.5251 | 76.627 | 9.655 | 10.3306 | 1444365.625 |
| 40000 | 0.8081 | 197.7434 | 97635.9688 | 1.2091 | 6.5177 | 76.715 | 9.666 | 10.3669 | 1472771.75 |
| 45000 | 0.9091 | 198.4416 | 98575.6953 | 1.2093 | 6.4898 | 77.044 | 9.708 | 10.3216 | 1521499.0 |
| 49500 | 1.0 | 197.6898 | 97801.2031 | 1.2091 | 6.4817 | 77.141 | 9.72 | 10.3293 | 1486192.625 |

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