---
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
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# 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: 2.7576

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.35  | 100  | 2.8787          |
| No log        | 0.71  | 200  | 2.8137          |
| No log        | 1.06  | 300  | 2.7626          |
| No log        | 1.42  | 400  | 2.7541          |
| 2.4388        | 1.77  | 500  | 2.7576          |


### Framework versions

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