---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: LLM_TRAINING
  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. -->

# LLM_TRAINING

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1049

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1795        | 0.25  | 10   | 3.6578          |
| 2.9896        | 0.5   | 20   | 2.2492          |
| 2.0979        | 0.75  | 30   | 1.7208          |
| 1.754         | 1.0   | 40   | 1.4856          |
| 1.544         | 1.25  | 50   | 1.3701          |
| 1.4369        | 1.5   | 60   | 1.2945          |
| 1.3826        | 1.76  | 70   | 1.2557          |
| 1.3657        | 2.01  | 80   | 1.2247          |
| 1.3064        | 2.26  | 90   | 1.1987          |
| 1.2619        | 2.51  | 100  | 1.1778          |
| 1.2493        | 2.76  | 110  | 1.1623          |
| 1.2498        | 3.01  | 120  | 1.1464          |
| 1.2126        | 3.26  | 130  | 1.1308          |
| 1.1972        | 3.51  | 140  | 1.1242          |
| 1.1776        | 3.76  | 150  | 1.1169          |
| 1.1826        | 4.01  | 160  | 1.1121          |
| 1.1623        | 4.26  | 170  | 1.1089          |
| 1.1468        | 4.51  | 180  | 1.1063          |
| 1.1594        | 4.76  | 190  | 1.1049          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3