metadata
base_model: beomi/llama-2-ko-7b
tags:
- generated_from_trainer
model-index:
- name: llama_2_ko_7b_wiki_QA
results: []
llama_2_ko_7b_wiki_QA
This model is a fine-tuned version of beomi/llama-2-ko-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1703
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8568 | 0.33 | 50 | 1.4294 |
| 1.2307 | 0.67 | 100 | 1.2169 |
| 1.1788 | 1.0 | 150 | 1.1865 |
| 1.0837 | 1.33 | 200 | 1.1810 |
| 1.1905 | 1.67 | 250 | 1.1740 |
| 1.161 | 2.0 | 300 | 1.1703 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.3