---
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: 1360.0
- eval_frwikippl: 5600.0
- eval_zhwikippl: 132096.0
- eval_tinystoriesppl: 904.0
- eval_loss: 3.0667
- eval_runtime: 12.9338
- eval_samples_per_second: 46.39
- eval_steps_per_second: 11.598

<!-- 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=1.0, loss_fn=cos, 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 | 1821066133504.0 | 158329674399744.0 | 20.2008 | 12.9195 | 46.441 | 11.61 | 12079595520.0 | 98956046499840.0 |
| 750 | 0.1010 | 1360.0 | 5600.0 | 3.0667 | 12.9338 | 46.39 | 11.598 | 904.0 | 132096.0 |
| 1500 | 0.2020 | 584.0 | 3600.0 | 2.2210 | 12.9258 | 46.419 | 11.605 | 444.0 | 968.0 |
| 2250 | 0.3030 | 382.0 | 2024.0 | 1.9283 | 12.9374 | 46.377 | 11.594 | 290.0 | 372.0 |
| 3000 | 0.4040 | 268.0 | 1088.0 | 1.6657 | 12.9348 | 46.387 | 11.597 | 230.0 | 204.0 |
| 3750 | 0.5051 | 208.0 | 732.0 | 1.4758 | 12.9387 | 46.372 | 11.593 | 174.0 | 218.0 |
| 4500 | 0.6061 | 169.0 | 564.0 | 1.2952 | 13.0113 | 46.114 | 11.528 | 145.0 | 142.0 |
| 5250 | 0.7071 | 137.0 | 482.0 | 1.1321 | 12.9425 | 46.359 | 11.59 | 111.0 | 139.0 |
| 6000 | 0.8081 | 125.0 | 448.0 | 1.0644 | 13.0023 | 46.146 | 11.536 | 100.5 | 123.5 |
| 6750 | 0.9091 | 120.0 | 434.0 | 1.0300 | 12.9661 | 46.274 | 11.569 | 96.5 | 119.0 |
| 7425 | 1.0 | 119.0 | 430.0 | 1.0247 | 13.1477 | 45.635 | 11.409 | 95.0 | 118.0 |

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