---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: S1_InstructionGeneratorGamma
  results: []
---

<!-- 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. -->

# S1_InstructionGeneratorGamma

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0763

## 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:
- learning_rate: 2e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 24

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 230  | 0.0822          |
| No log        | 2.0   | 460  | 0.0809          |
| 0.0914        | 3.0   | 690  | 0.0801          |
| 0.0914        | 4.0   | 920  | 0.0788          |
| 0.0865        | 5.0   | 1150 | 0.0785          |
| 0.0865        | 6.0   | 1380 | 0.0780          |
| 0.0841        | 7.0   | 1610 | 0.0781          |
| 0.0841        | 8.0   | 1840 | 0.0778          |
| 0.0824        | 9.0   | 2070 | 0.0774          |
| 0.0824        | 10.0  | 2300 | 0.0770          |
| 0.0817        | 11.0  | 2530 | 0.0771          |
| 0.0817        | 12.0  | 2760 | 0.0769          |
| 0.0817        | 13.0  | 2990 | 0.0769          |
| 0.0806        | 14.0  | 3220 | 0.0766          |
| 0.0806        | 15.0  | 3450 | 0.0765          |
| 0.0799        | 16.0  | 3680 | 0.0765          |
| 0.0799        | 17.0  | 3910 | 0.0765          |
| 0.0793        | 18.0  | 4140 | 0.0764          |
| 0.0793        | 19.0  | 4370 | 0.0763          |
| 0.0789        | 20.0  | 4600 | 0.0763          |
| 0.0789        | 21.0  | 4830 | 0.0762          |
| 0.0786        | 22.0  | 5060 | 0.0763          |
| 0.0786        | 23.0  | 5290 | 0.0763          |
| 0.0784        | 24.0  | 5520 | 0.0763          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2