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

# GenerativeQnASystem

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: 3.4075

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.35  | 100  | 2.9223          |
| No log        | 0.71  | 200  | 2.8218          |
| No log        | 1.06  | 300  | 2.8172          |
| No log        | 1.42  | 400  | 2.8195          |
| 2.0569        | 1.77  | 500  | 2.8013          |
| 2.0569        | 2.13  | 600  | 2.9228          |
| 2.0569        | 2.48  | 700  | 2.8839          |
| 2.0569        | 2.84  | 800  | 2.8726          |
| 2.0569        | 3.19  | 900  | 2.9708          |
| 1.5152        | 3.55  | 1000 | 3.0117          |
| 1.5152        | 3.9   | 1100 | 3.0086          |
| 1.5152        | 4.26  | 1200 | 3.1463          |
| 1.5152        | 4.61  | 1300 | 3.1017          |
| 1.5152        | 4.96  | 1400 | 3.1402          |
| 1.1351        | 5.32  | 1500 | 3.2704          |
| 1.1351        | 5.67  | 1600 | 3.2296          |
| 1.1351        | 6.03  | 1700 | 3.2465          |
| 1.1351        | 6.38  | 1800 | 3.3639          |
| 1.1351        | 6.74  | 1900 | 3.3311          |
| 0.9           | 7.09  | 2000 | 3.3541          |
| 0.9           | 7.45  | 2100 | 3.3887          |
| 0.9           | 7.8   | 2200 | 3.4075          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0