metadata
license: apache-2.0
base_model: lighteternal/gpt2-finetuned-greek
tags:
- generated_from_trainer
model-index:
- name: gpt2_custom_c_q_and_a
results: []
gpt2_custom_c_q_and_a
This model is a fine-tuned version of 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