---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: GPT2_DocBot_SonatafyAI
  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. -->

# GPT2_DocBot_SonatafyAI

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1199

## 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-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.3135        | 1.0   | 3662  | 3.2269          |
| 3.0995        | 2.0   | 7324  | 3.1529          |
| 2.958         | 3.0   | 10986 | 3.1207          |
| 2.8552        | 4.0   | 14648 | 3.1162          |
| 2.8018        | 5.0   | 18310 | 3.1199          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1