metadata
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: gpt_16_5_3e-5_lp5_nb5
results: []
gpt_16_5_3e-5_lp5_nb5
This model is a fine-tuned version of skt/kogpt2-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9078
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3245 | 0.38 | 1000 | 4.0176 |
| 3.1222 | 0.76 | 2000 | 3.9845 |
| 2.9992 | 1.13 | 3000 | 3.9635 |
| 2.8843 | 1.51 | 4000 | 3.9377 |
| 2.882 | 1.89 | 5000 | 3.9268 |
| 2.7411 | 2.27 | 6000 | 3.9208 |
| 2.7204 | 2.64 | 7000 | 3.9160 |
| 2.7106 | 3.02 | 8000 | 3.9171 |
| 2.5857 | 3.4 | 9000 | 3.9162 |
| 2.5863 | 3.78 | 10000 | 3.9037 |
| 2.5674 | 4.15 | 11000 | 3.9135 |
| 2.4901 | 4.53 | 12000 | 3.9125 |
| 2.505 | 4.91 | 13000 | 3.9078 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.9.0+cu102
- Datasets 2.8.0
- Tokenizers 0.13.2