79feb7ea-866e-4b5b-b736-fed71aa0af29
This model is a fine-tuned version of oopsung/llama2-7b-koNqa-test-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9512
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0009 | 1 | 2.0398 |
| 1.5378 | 0.0436 | 50 | 1.3286 |
| 1.2402 | 0.0871 | 100 | 1.2441 |
| 1.1941 | 0.1307 | 150 | 1.1204 |
| 1.1473 | 0.1742 | 200 | 1.1527 |
| 1.1089 | 0.2178 | 250 | 1.0739 |
| 1.124 | 0.2613 | 300 | 1.0266 |
| 1.1093 | 0.3049 | 350 | 0.9830 |
| 1.0462 | 0.3484 | 400 | 0.9645 |
| 0.9982 | 0.3920 | 450 | 0.9587 |
| 0.9893 | 0.4355 | 500 | 0.9512 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso18/79feb7ea-866e-4b5b-b736-fed71aa0af29
Base model
oopsung/llama2-7b-koNqa-test-v1