---
license: apache-2.0
base_model: lighteternal/gpt2-finetuned-greek
tags:
- generated_from_trainer
model-index:
- name: gpt2_custom_c_q_and_a
  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_custom_c_q_and_a

This model is a fine-tuned version of [lighteternal/gpt2-finetuned-greek](https://huggingface.co/lighteternal/gpt2-finetuned-greek) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0098

## 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: 16
- 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: 100
- num_epochs: 80

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5542        | 4.76  | 100  | 0.7706          |
| 0.4813        | 9.52  | 200  | 0.1839          |
| 0.1838        | 14.29 | 300  | 0.0892          |
| 0.109         | 19.05 | 400  | 0.0532          |
| 0.0767        | 23.81 | 500  | 0.0385          |
| 0.0579        | 28.57 | 600  | 0.0290          |
| 0.0447        | 33.33 | 700  | 0.0213          |
| 0.0365        | 38.1  | 800  | 0.0178          |
| 0.0319        | 42.86 | 900  | 0.0157          |
| 0.0277        | 47.62 | 1000 | 0.0140          |
| 0.0252        | 52.38 | 1100 | 0.0125          |
| 0.0229        | 57.14 | 1200 | 0.0113          |
| 0.0213        | 61.9  | 1300 | 0.0107          |
| 0.0199        | 66.67 | 1400 | 0.0104          |
| 0.0181        | 71.43 | 1500 | 0.0099          |
| 0.0184        | 76.19 | 1600 | 0.0098          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3