---
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: 13782.8369
- eval_frwikippl: 65787.1094
- eval_zhwikippl: 58004.7852
- eval_tinystoriesppl: 6904.7764
- eval_loss: 5.9830
- eval_runtime: 6.5013
- eval_samples_per_second: 76.908
- eval_steps_per_second: 9.69

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed
-->

## 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: 6.6058 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 | 24265.9961 | 83952.2266 | 6.4532 | 6.5041 | 76.875 | 9.686 | 14059.6133 | 62337.3242 |
| 5000 | 0.1010 | 13782.8369 | 65787.1094 | 5.9830 | 6.5013 | 76.908 | 9.69 | 6904.7764 | 58004.7852 |
| 10000 | 0.2020 | 13782.8369 | 65676.0234 | 5.9770 | 6.4897 | 77.046 | 9.708 | 6916.2041 | 58066.7188 |
| 15000 | 0.3030 | 13804.2139 | 65639.0234 | 5.9770 | 6.4932 | 77.003 | 9.702 | 6925.3584 | 58066.7188 |
| 20000 | 0.4040 | 13812.7734 | 65639.0234 | 5.9770 | 6.511 | 76.793 | 9.676 | 6934.5249 | 58066.7188 |
| 25000 | 0.5051 | 13829.8955 | 65639.0234 | 5.9770 | 6.5 | 76.923 | 9.692 | 6944.8496 | 58097.6836 |
| 30000 | 0.6061 | 13834.1826 | 65639.0234 | 5.9765 | 6.5123 | 76.778 | 9.674 | 6949.4409 | 58128.7188 |
| 35000 | 0.7071 | 13834.1826 | 65639.0234 | 5.9765 | 6.4965 | 76.965 | 9.698 | 6952.8945 | 58159.7148 |
| 40000 | 0.8081 | 13842.7607 | 65639.0234 | 5.9765 | 6.5677 | 76.13 | 9.592 | 6957.4912 | 58159.7148 |
| 45000 | 0.9091 | 13851.3447 | 65639.0234 | 5.9770 | 6.5257 | 76.62 | 9.654 | 6957.4912 | 58159.7148 |
| 49500 | 1.0 | 13851.3447 | 65639.0234 | 5.9770 | 6.5191 | 76.698 | 9.664 | 6957.4912 | 58159.7148 |

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