KLTN_COQE_viT5_APSOL_v4
This model is a fine-tuned version of VietAI/vit5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.8586 | 1.98 | 200 | 0.0880 |
0.1018 | 3.96 | 400 | 0.0376 |
0.0408 | 5.94 | 600 | 0.0127 |
0.0171 | 7.92 | 800 | 0.0034 |
0.0065 | 9.9 | 1000 | 0.0008 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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