---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: GPT2_DocBot_SonatafyAI_V3
  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_V3

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: 2.8062

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.0191        | 1.0   | 9715  | 2.9325          |
| 2.8082        | 2.0   | 19430 | 2.8542          |
| 2.7173        | 3.0   | 29145 | 2.8198          |
| 2.6473        | 4.0   | 38860 | 2.8052          |
| 2.5881        | 5.0   | 48575 | 2.8062          |


### Framework versions

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