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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-multi |
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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-multi |
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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: 0.7410 |
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- Recall Micro: 0.6625 |
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- Precision Micro: 0.8405 |
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- F1 Macro: 0.1860 |
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- Recall Macro: 0.1842 |
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- Precision Macro: 0.1913 |
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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 | 0.0157 | 0.7226 | 0.6524 | 0.8096 | 0.1610 | 0.1642 | 0.1658 | |
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| 0.1287 | 2.0 | 746 | 0.0127 | 0.7332 | 0.6505 | 0.8399 | 0.1715 | 0.1628 | 0.1853 | |
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| 0.0132 | 3.0 | 1119 | 0.0130 | 0.7253 | 0.6411 | 0.8351 | 0.1860 | 0.2003 | 0.1825 | |
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| 0.0132 | 4.0 | 1492 | 0.0118 | 0.7422 | 0.6782 | 0.8195 | 0.1746 | 0.1612 | 0.1978 | |
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| 0.0104 | 5.0 | 1865 | 0.0119 | 0.7410 | 0.6625 | 0.8405 | 0.1860 | 0.1842 | 0.1913 | |
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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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