phi3_on_korean_summary
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6044
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: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.2363 | 0.26 | 20 | 1.1356 |
1.0765 | 0.53 | 40 | 1.0056 |
0.9569 | 0.79 | 60 | 0.8976 |
0.8639 | 1.05 | 80 | 0.8329 |
0.8059 | 1.32 | 100 | 0.7890 |
0.7728 | 1.58 | 120 | 0.7568 |
0.7474 | 1.84 | 140 | 0.7310 |
0.7053 | 2.11 | 160 | 0.7122 |
0.6654 | 2.37 | 180 | 0.6928 |
0.6464 | 2.63 | 200 | 0.6775 |
0.6407 | 2.89 | 220 | 0.6652 |
0.6192 | 3.16 | 240 | 0.6582 |
0.5811 | 3.42 | 260 | 0.6478 |
0.5817 | 3.68 | 280 | 0.6382 |
0.5717 | 3.95 | 300 | 0.6308 |
0.5493 | 4.21 | 320 | 0.6277 |
0.5352 | 4.47 | 340 | 0.6202 |
0.5287 | 4.74 | 360 | 0.6155 |
0.5204 | 5.0 | 380 | 0.6105 |
0.4992 | 5.26 | 400 | 0.6132 |
0.4891 | 5.53 | 420 | 0.6090 |
0.4872 | 5.79 | 440 | 0.6060 |
0.4875 | 6.05 | 460 | 0.6039 |
0.4629 | 6.32 | 480 | 0.6061 |
0.4782 | 6.58 | 500 | 0.6044 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.0
- Downloads last month
- 5
Model tree for ghost613/phi3_on_korean_summary
Base model
microsoft/Phi-3-mini-4k-instruct