---
base_model: roneneldan/TinyStories-33M
library_name: Distily
tags:
- generated_from_trainer
model-index:
- name: distily_bench_obj_cross_v2.10
  results: []
---

# distily_bench_obj_cross_v2.10

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: 133.3661
- eval_frwikippl: 19650.0977
- eval_zhwikippl: 54146.3867
- eval_tinystoriesppl: 9.1470
- eval_loss: 1.2078
- eval_runtime: 12.9975
- eval_samples_per_second: 76.938
- eval_steps_per_second: 9.617

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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: 4e-06
- 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: 6.6064 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 | 50480.5703 | 85684.4844 | 6.8305 | 13.0278 | 76.759 | 9.595 | 33932.0586 | 94692.1562 |
| 5000 | 0.0505 | 133.2834 | 19661.1758 | 1.2085 | 13.0193 | 76.809 | 9.601 | 9.1500 | 54349.0273 |
| 10000 | 0.1010 | 133.3712 | 19627.9590 | 1.2079 | 13.0358 | 76.712 | 9.589 | 9.1530 | 54117.5273 |
| 15000 | 0.1515 | 133.2834 | 19650.0977 | 1.2077 | 13.0514 | 76.62 | 9.578 | 9.1402 | 54088.6328 |
| 20000 | 0.2020 | 133.3299 | 19639.0254 | 1.2077 | 13.0057 | 76.889 | 9.611 | 9.1545 | 54204.1992 |
| 25000 | 0.2525 | 133.4539 | 19650.0977 | 1.2079 | 13.0301 | 76.745 | 9.593 | 9.1538 | 54349.0273 |
| 30000 | 0.3030 | 133.5160 | 19650.0977 | 1.2079 | 13.03 | 76.746 | 9.593 | 9.1542 | 54088.6328 |
| 35000 | 0.3535 | 133.2834 | 19627.9590 | 1.2078 | 13.0569 | 76.588 | 9.573 | 9.1451 | 54117.5273 |
| 40000 | 0.4040 | 133.3712 | 19627.9590 | 1.2078 | 12.9991 | 76.928 | 9.616 | 9.1523 | 54146.3867 |
| 45000 | 0.4545 | 133.3041 | 19650.0977 | 1.2077 | 12.9923 | 76.969 | 9.621 | 9.1477 | 54088.6328 |
| 50000 | 0.5051 | 133.2834 | 19650.0977 | 1.2078 | 13.1989 | 75.764 | 9.47 | 9.1470 | 54204.1992 |
| 55000 | 0.5556 | 133.4953 | 19650.0977 | 1.2078 | 13.1556 | 76.013 | 9.502 | 9.1485 | 54117.5273 |
| 60000 | 0.6061 | 133.4901 | 19661.1758 | 1.2077 | 13.206 | 75.723 | 9.465 | 9.1477 | 54117.5273 |
| 65000 | 0.6566 | 133.4488 | 19650.0977 | 1.2077 | 13.0052 | 76.892 | 9.612 | 9.1470 | 54117.5273 |
| 70000 | 0.7071 | 133.3661 | 19650.0977 | 1.2078 | 12.9996 | 76.925 | 9.616 | 9.1470 | 54117.5273 |
| 75000 | 0.7576 | 133.4074 | 19650.0977 | 1.2079 | 13.0082 | 76.874 | 9.609 | 9.1470 | 54117.5273 |
| 80000 | 0.8081 | 133.4488 | 19650.0977 | 1.2078 | 12.9816 | 77.032 | 9.629 | 9.1485 | 54117.5273 |
| 85000 | 0.8586 | 133.3661 | 19650.0977 | 1.2077 | 12.9875 | 76.997 | 9.625 | 9.1470 | 54117.5273 |
| 90000 | 0.9091 | 133.3661 | 19650.0977 | 1.2077 | 12.985 | 77.012 | 9.626 | 9.1462 | 54117.5273 |
| 95000 | 0.9596 | 133.4074 | 19650.0977 | 1.2078 | 13.0478 | 76.641 | 9.58 | 9.1470 | 54146.3867 |
| 99000 | 1.0 | 133.3661 | 19650.0977 | 1.2078 | 12.9975 | 76.938 | 9.617 | 9.1470 | 54146.3867 |

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