---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: S1_InstructionGeneratorDelta
  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_InstructionGeneratorDelta

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: 0.0789

## 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: 64
- eval_batch_size: 64
- 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   | 173  | 0.1487          |
| No log        | 2.0   | 346  | 0.1222          |
| 0.3431        | 3.0   | 519  | 0.1085          |
| 0.3431        | 4.0   | 692  | 0.0998          |
| 0.3431        | 5.0   | 865  | 0.0949          |
| 0.1133        | 6.0   | 1038 | 0.0911          |
| 0.1133        | 7.0   | 1211 | 0.0889          |
| 0.1133        | 8.0   | 1384 | 0.0873          |
| 0.1007        | 9.0   | 1557 | 0.0855          |
| 0.1007        | 10.0  | 1730 | 0.0842          |
| 0.1007        | 11.0  | 1903 | 0.0831          |
| 0.095         | 12.0  | 2076 | 0.0823          |
| 0.095         | 13.0  | 2249 | 0.0817          |
| 0.095         | 14.0  | 2422 | 0.0810          |
| 0.0913        | 15.0  | 2595 | 0.0807          |
| 0.0913        | 16.0  | 2768 | 0.0803          |
| 0.0913        | 17.0  | 2941 | 0.0800          |
| 0.0892        | 18.0  | 3114 | 0.0797          |
| 0.0892        | 19.0  | 3287 | 0.0794          |
| 0.0892        | 20.0  | 3460 | 0.0793          |
| 0.0879        | 21.0  | 3633 | 0.0791          |
| 0.0879        | 22.0  | 3806 | 0.0790          |
| 0.0879        | 23.0  | 3979 | 0.0790          |
| 0.0868        | 24.0  | 4152 | 0.0789          |


### Framework versions

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