metadata
library_name: peft
base_model: oopsung/llama2-7b-koNqa-test-v1
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 7e10956b-c129-453b-be81-43b9e8a00193
results: []
7e10956b-c129-453b-be81-43b9e8a00193
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: 0.8757
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: 0.000208
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 | 0.0001 | 1 | 2.8507 |
| 1.6873 | 0.0033 | 50 | 1.2731 |
| 1.545 | 0.0065 | 100 | 1.2757 |
| 1.3988 | 0.0098 | 150 | 1.1874 |
| 1.6102 | 0.0130 | 200 | 1.1087 |
| 1.3597 | 0.0163 | 250 | 1.0507 |
| 1.3285 | 0.0196 | 300 | 0.9809 |
| 1.0915 | 0.0228 | 350 | 0.9417 |
| 1.2449 | 0.0261 | 400 | 0.8955 |
| 1.0734 | 0.0293 | 450 | 0.8762 |
| 1.0317 | 0.0326 | 500 | 0.8757 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1