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--- |
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base_model: vinai/bartpho-word-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bartpho-word-base-ed |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bartpho-word-base-ed |
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This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0119 |
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- F1 Micro: 0.7414 |
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- Recall Micro: 0.6649 |
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- Precision Micro: 0.8378 |
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- F1 Macro: 0.1869 |
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- Recall Macro: 0.1816 |
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- Precision Macro: 0.1949 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:| |
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| No log | 1.0 | 373 | 0.0156 | 0.7286 | 0.6544 | 0.8219 | 0.1709 | 0.1813 | 0.1667 | |
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| 0.1321 | 2.0 | 746 | 0.0124 | 0.7387 | 0.6563 | 0.8448 | 0.1711 | 0.1599 | 0.1889 | |
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| 0.0134 | 3.0 | 1119 | 0.0126 | 0.7290 | 0.6488 | 0.8319 | 0.1842 | 0.1897 | 0.1866 | |
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| 0.0134 | 4.0 | 1492 | 0.0119 | 0.7490 | 0.6859 | 0.8248 | 0.1820 | 0.1644 | 0.2081 | |
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| 0.0105 | 5.0 | 1865 | 0.0119 | 0.7414 | 0.6649 | 0.8378 | 0.1869 | 0.1816 | 0.1949 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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