---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_obj_cross_v2.15_gpt2
  results: []
---

# distily_bench_obj_cross_v2.15_gpt2

This student model is distilled from the teacher model [gpt2](https://huggingface.co/gpt2) 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: 5056.0
- eval_frwikippl: 3696.0
- eval_zhwikippl: 29312.0
- eval_tinystoriesppl: 4672.0
- eval_loss: 1.3042
- eval_runtime: 16.773
- eval_samples_per_second: 59.62
- eval_steps_per_second: 7.452

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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: 0.0004
- 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: 0.2
- num_epochs: 1.0

### Resource Usage
Peak GPU Memory: 7.9368 GB

### Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** |  | 43.75 | 61.75 |  |  |  |  | 11.8125 | 19.125 |
| 0 | 0 | 2336462209024.0 | 122045790683136.0 | 24.1200 | 16.7622 | 59.658 | 7.457 | 4429185024.0 | 25975962206208.0 |
| 1000 | 0.0808 | 3312.0 | 3184.0 | 1.1229 | 16.7657 | 59.646 | 7.456 | 2720.0 | 2992.0 |
| 2000 | 0.1616 | 5248.0 | 4048.0 | 1.2528 | 16.7825 | 59.586 | 7.448 | 5408.0 | 9984.0 |
| 3000 | 0.2424 | 5600.0 | 3744.0 | 1.2812 | 16.7695 | 59.632 | 7.454 | 5312.0 | 23680.0 |
| 4000 | 0.3232 | 5408.0 | 3920.0 | 1.2832 | 16.8694 | 59.279 | 7.41 | 5440.0 | 33280.0 |
| 5000 | 0.4040 | 5376.0 | 3952.0 | 1.2841 | 16.7361 | 59.751 | 7.469 | 5408.0 | 27008.0 |
| 6000 | 0.4848 | 5344.0 | 3680.0 | 1.2770 | 16.7635 | 59.653 | 7.457 | 5440.0 | 29312.0 |
| 7000 | 0.5657 | 5024.0 | 3760.0 | 1.2800 | 16.7492 | 59.704 | 7.463 | 5184.0 | 39936.0 |
| 8000 | 0.6465 | 4992.0 | 3712.0 | 1.2922 | 16.7445 | 59.721 | 7.465 | 5088.0 | 26752.0 |
| 9000 | 0.7273 | 5056.0 | 3696.0 | 1.3042 | 16.773 | 59.62 | 7.452 | 4672.0 | 29312.0 |
| 10000 | 0.8081 | 5824.0 | 3648.0 | 1.3192 | 16.7669 | 59.641 | 7.455 | 5312.0 | 24448.0 |
| 11000 | 0.8889 | 5568.0 | 3872.0 | 1.3215 | 16.8215 | 59.448 | 7.431 | 5504.0 | 40704.0 |
| 12000 | 0.9697 | 5440.0 | 3792.0 | 1.3263 | 16.7825 | 59.586 | 7.448 | 5120.0 | 72704.0 |
| 12375 | 1.0 | 5696.0 | 3936.0 | 1.3389 | 16.7852 | 59.576 | 7.447 | 5696.0 | 40192.0 |

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