BartPho_base
This model is a fine-tuned version of vinai/bartpho-word-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3964
- Bleu Score: 0.0
- Precision: 0.0
- Recall: 0.0
- Gen Len: 13.957
- Err: 0.0
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: 0.0001
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
|---|---|---|---|---|---|---|---|---|
| 5.1513 | 1.0 | 838 | 4.6875 | 0.0 | 0.0 | 0.0 | 14.4624 | 0.0 |
| 4.2845 | 2.0 | 1676 | 4.4790 | 0.224 | 0.0 | 0.0 | 13.7551 | 0.0 |
| 3.7487 | 3.0 | 2514 | 4.3964 | 0.0 | 0.0 | 0.0 | 13.957 | 0.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
vinai/bartpho-word-base