HGU_rulebook-Llama3.2-Bllossom-5B_fine-tuning-QLoRA-64_16
This model is a fine-tuned version of Bllossom/llama-3.2-Korean-Bllossom-AICA-5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.7052
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1570
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
12.8912 | 0.3182 | 50 | 12.8247 |
11.6977 | 0.6364 | 100 | 11.3812 |
9.1603 | 0.9547 | 150 | 8.9505 |
7.6735 | 1.2729 | 200 | 7.5549 |
6.7945 | 1.5911 | 250 | 6.7118 |
6.2617 | 1.9093 | 300 | 6.2235 |
6.0081 | 2.2275 | 350 | 5.9894 |
5.8829 | 2.5457 | 400 | 5.8750 |
5.8219 | 2.8640 | 450 | 5.8154 |
5.7859 | 3.1822 | 500 | 5.7831 |
5.7645 | 3.5004 | 550 | 5.7624 |
5.7485 | 3.8186 | 600 | 5.7478 |
5.7375 | 4.1368 | 650 | 5.7377 |
5.7339 | 4.4551 | 700 | 5.7301 |
5.7241 | 4.7733 | 750 | 5.7246 |
5.7212 | 5.0915 | 800 | 5.7204 |
5.7178 | 5.4097 | 850 | 5.7170 |
5.7158 | 5.7279 | 900 | 5.7145 |
5.7113 | 6.0461 | 950 | 5.7124 |
5.711 | 6.3644 | 1000 | 5.7107 |
5.7062 | 6.6826 | 1050 | 5.7093 |
5.7075 | 7.0008 | 1100 | 5.7082 |
5.7079 | 7.3190 | 1150 | 5.7074 |
5.7104 | 7.6372 | 1200 | 5.7067 |
5.7046 | 7.9554 | 1250 | 5.7063 |
5.7027 | 8.2737 | 1300 | 5.7058 |
5.7049 | 8.5919 | 1350 | 5.7056 |
5.7032 | 8.9101 | 1400 | 5.7053 |
5.7048 | 9.2283 | 1450 | 5.7053 |
5.7057 | 9.5465 | 1500 | 5.7052 |
5.7035 | 9.8648 | 1550 | 5.7052 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.0
- Tokenizers 0.20.1
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Model tree for TARARARAK/HGU_rulebook-Llama3.2-Bllossom-5B_fine-tuning-QLoRA-64_16
Base model
Bllossom/llama-3.2-Korean-Bllossom-AICA-5B