---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt_tos
  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. -->

# gpt_tos

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: 5.6644

## 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 8.4766        | 0.62  | 1000  | 7.0356          |
| 6.6906        | 1.24  | 2000  | 6.4523          |
| 6.3735        | 1.86  | 3000  | 6.2716          |
| 6.2028        | 2.48  | 4000  | 6.1586          |
| 6.1092        | 3.09  | 5000  | 6.0782          |
| 6.0136        | 3.71  | 6000  | 6.0102          |
| 5.9325        | 4.33  | 7000  | 5.9612          |
| 5.8906        | 4.95  | 8000  | 5.9175          |
| 5.8132        | 5.57  | 9000  | 5.8860          |
| 5.7793        | 6.19  | 10000 | 5.8571          |
| 5.7357        | 6.81  | 11000 | 5.8311          |
| 5.6976        | 7.43  | 12000 | 5.8051          |
| 5.6553        | 8.04  | 13000 | 5.7859          |
| 5.6192        | 8.66  | 14000 | 5.7713          |
| 5.591         | 9.28  | 15000 | 5.7608          |
| 5.5728        | 9.9   | 16000 | 5.7453          |
| 5.5361        | 10.52 | 17000 | 5.7339          |
| 5.5166        | 11.14 | 18000 | 5.7259          |
| 5.5008        | 11.76 | 19000 | 5.7151          |
| 5.47          | 12.38 | 20000 | 5.7067          |
| 5.4621        | 13.0  | 21000 | 5.7004          |
| 5.4327        | 13.61 | 22000 | 5.6935          |
| 5.4219        | 14.23 | 23000 | 5.6876          |
| 5.4101        | 14.85 | 24000 | 5.6832          |
| 5.3975        | 15.47 | 25000 | 5.6778          |
| 5.3848        | 16.09 | 26000 | 5.6751          |
| 5.3707        | 16.71 | 27000 | 5.6726          |
| 5.3582        | 17.33 | 28000 | 5.6695          |
| 5.3569        | 17.95 | 29000 | 5.6667          |
| 5.3451        | 18.56 | 30000 | 5.6663          |
| 5.3487        | 19.18 | 31000 | 5.6652          |
| 5.3335        | 19.8  | 32000 | 5.6644          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3