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---
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
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