bartpho_queryrewriting_10epoch
This model is a fine-tuned version of vinai/bartpho-word on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9870
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: 28
- eval_batch_size: 28
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.1264 | 1.0 | 901 | 1.9870 |
2.4339 | 2.0 | 1802 | 7.5149 |
2.2428 | 3.0 | 2703 | 9.1814 |
2.2274 | 4.0 | 3604 | 8.1418 |
2.1944 | 5.0 | 4505 | 6.8951 |
2.1642 | 6.0 | 5406 | 7.9092 |
2.1312 | 7.0 | 6307 | 7.9537 |
2.1075 | 8.0 | 7208 | 8.6664 |
2.0891 | 9.0 | 8109 | 7.7073 |
2.077 | 10.0 | 9010 | 6.7505 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
vinai/bartpho-word