pretrain_wo-cot_w-asd_gpt
This model is a fine-tuned version of kakaobrain/kogpt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2695
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.3854 | 0.1290 | 1 | 10.0019 |
| 9.2319 | 0.2581 | 2 | 9.7577 |
| 8.9195 | 0.3871 | 3 | 9.4655 |
| 8.7866 | 0.5161 | 4 | 9.1438 |
| 8.4714 | 0.6452 | 5 | 9.1438 |
| 8.548 | 0.7742 | 6 | 8.8258 |
| 8.1645 | 0.9032 | 7 | 8.5218 |
| 7.9288 | 1.0323 | 8 | 8.1624 |
| 7.4999 | 1.1613 | 9 | 7.8294 |
| 7.0631 | 1.2903 | 10 | 7.5127 |
| 6.9252 | 1.4194 | 11 | 7.1942 |
| 6.7075 | 1.5484 | 12 | 6.8620 |
| 6.4293 | 1.6774 | 13 | 6.5825 |
| 6.1982 | 1.8065 | 14 | 6.2854 |
| 5.9671 | 1.9355 | 15 | 6.0680 |
| 5.5963 | 2.0645 | 16 | 5.8336 |
| 5.4335 | 2.1935 | 17 | 5.6719 |
| 5.3723 | 2.3226 | 18 | 5.5392 |
| 5.3661 | 2.4516 | 19 | 5.4076 |
| 5.0969 | 2.5806 | 20 | 5.3410 |
| 5.0227 | 2.7097 | 21 | 5.2695 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for slplab/pretrain_wo-cot_w-asd_gpt
Base model
kakaobrain/kogpt