---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_obj_cross_v2.13_gpt2
  results: []
---

# distily_bench_obj_cross_v2.13_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: 2160.0
- eval_frwikippl: 9536.0
- eval_zhwikippl: 98816.0
- eval_tinystoriesppl: 1960.0
- eval_loss: 3.2783
- eval_runtime: 12.9016
- eval_samples_per_second: 46.506
- eval_steps_per_second: 11.626

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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=1.0, loss_fn=kl, layer_mapper=all, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
- train_embeddings: True
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 1.0

### Resource Usage
Peak GPU Memory: 8.0905 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 | 1855425871872.0 | 61297773248512.0 | 26.3692 | 12.8695 | 46.622 | 11.655 | 14495514624.0 | 11338713661440.0 |
| 750 | 0.1010 | 2160.0 | 9536.0 | 3.2783 | 12.9016 | 46.506 | 11.626 | 1960.0 | 98816.0 |
| 1500 | 0.2020 | 740.0 | 4640.0 | 2.2764 | 12.9025 | 46.503 | 11.626 | 612.0 | 9728.0 |
| 2250 | 0.3030 | 450.0 | 2656.0 | 1.9411 | 12.9079 | 46.483 | 11.621 | 344.0 | 564.0 |
| 3000 | 0.4040 | 312.0 | 1544.0 | 1.6865 | 12.9248 | 46.422 | 11.606 | 272.0 | 304.0 |
| 3750 | 0.5051 | 237.0 | 964.0 | 1.4813 | 12.9469 | 46.343 | 11.586 | 199.0 | 252.0 |
| 4500 | 0.6061 | 185.0 | 712.0 | 1.2780 | 13.0095 | 46.12 | 11.53 | 144.0 | 254.0 |
| 5250 | 0.7071 | 143.0 | 520.0 | 1.1058 | 13.0283 | 46.054 | 11.513 | 114.5 | 212.0 |
| 6000 | 0.8081 | 130.0 | 478.0 | 1.0297 | 12.9977 | 46.162 | 11.541 | 103.0 | 180.0 |
| 6750 | 0.9091 | 123.5 | 442.0 | 0.9899 | 12.9475 | 46.341 | 11.585 | 99.0 | 160.0 |
| 7425 | 1.0 | 122.5 | 438.0 | 0.9819 | 12.9461 | 46.346 | 11.587 | 97.5 | 160.0 |

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