---
license: apache-2.0
base_model: lighteternal/gpt2-finetuned-greek
tags:
- generated_from_trainer
model-index:
- name: gpt2_custom_c_q_and_a_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_custom_c_q_and_a_v3

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: 0.0066

## 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: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3925        | 8.33   | 100  | 0.7608          |
| 0.4388        | 16.67  | 200  | 0.1300          |
| 0.1291        | 25.0   | 300  | 0.0496          |
| 0.0634        | 33.33  | 400  | 0.0244          |
| 0.0402        | 41.67  | 500  | 0.0164          |
| 0.0281        | 50.0   | 600  | 0.0115          |
| 0.0214        | 58.33  | 700  | 0.0091          |
| 0.0178        | 66.67  | 800  | 0.0086          |
| 0.0151        | 75.0   | 900  | 0.0079          |
| 0.0137        | 83.33  | 1000 | 0.0076          |
| 0.0122        | 91.67  | 1100 | 0.0075          |
| 0.0122        | 100.0  | 1200 | 0.0073          |
| 0.0111        | 108.33 | 1300 | 0.0072          |
| 0.011         | 116.67 | 1400 | 0.0070          |
| 0.0101        | 125.0  | 1500 | 0.0069          |
| 0.0107        | 133.33 | 1600 | 0.0072          |
| 0.0097        | 141.67 | 1700 | 0.0069          |
| 0.0094        | 150.0  | 1800 | 0.0069          |
| 0.0095        | 158.33 | 1900 | 0.0068          |
| 0.0094        | 166.67 | 2000 | 0.0067          |
| 0.0088        | 175.0  | 2100 | 0.0066          |
| 0.0088        | 183.33 | 2200 | 0.0067          |
| 0.0087        | 191.67 | 2300 | 0.0066          |
| 0.0088        | 200.0  | 2400 | 0.0066          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3