gemma2_on_korean_conv
This model is a fine-tuned version of beomi/gemma-ko-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2691
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 3600
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.236 | 0.1281 | 100 | 1.3164 |
1.1365 | 0.2563 | 200 | 1.2335 |
1.125 | 0.3844 | 300 | 1.1832 |
1.1023 | 0.5126 | 400 | 1.1517 |
1.1244 | 0.6407 | 500 | 1.1254 |
1.0095 | 0.7688 | 600 | 1.1015 |
1.1354 | 0.8970 | 700 | 1.0979 |
0.898 | 1.0251 | 800 | 1.0986 |
0.9075 | 1.1533 | 900 | 1.0897 |
0.864 | 1.2814 | 1000 | 1.0924 |
0.9093 | 1.4095 | 1100 | 1.0810 |
0.8207 | 1.5377 | 1200 | 1.0859 |
0.8376 | 1.6658 | 1300 | 1.0712 |
0.8546 | 1.7940 | 1400 | 1.0705 |
0.8231 | 1.9221 | 1500 | 1.0659 |
0.6411 | 2.0502 | 1600 | 1.1030 |
0.6646 | 2.1784 | 1700 | 1.1065 |
0.6662 | 2.3065 | 1800 | 1.1038 |
0.6596 | 2.4346 | 1900 | 1.1033 |
0.6761 | 2.5628 | 2000 | 1.1137 |
0.7028 | 2.6909 | 2100 | 1.1071 |
0.6339 | 2.8191 | 2200 | 1.1076 |
0.6714 | 2.9472 | 2300 | 1.1157 |
0.5146 | 3.0753 | 2400 | 1.1607 |
0.4817 | 3.2035 | 2500 | 1.1779 |
0.5094 | 3.3316 | 2600 | 1.1794 |
0.4954 | 3.4598 | 2700 | 1.1887 |
0.4886 | 3.5879 | 2800 | 1.1888 |
0.5176 | 3.7160 | 2900 | 1.1819 |
0.5076 | 3.8442 | 3000 | 1.1900 |
0.5286 | 3.9723 | 3100 | 1.1838 |
0.3827 | 4.1005 | 3200 | 1.2526 |
0.3933 | 4.2286 | 3300 | 1.2663 |
0.3703 | 4.3567 | 3400 | 1.2671 |
0.3967 | 4.4849 | 3500 | 1.2661 |
0.3978 | 4.6130 | 3600 | 1.2691 |
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 ghost613/gemma2_on_korean_conv
Base model
beomi/gemma-ko-2b