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--- |
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base_model: vinai/phobert-base-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: PhoBERT-train-aug_insert_w2v |
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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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# PhoBERT-train-aug_insert_w2v |
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2218 |
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- Accuracy: 0.71 |
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- F1: 0.7185 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.861 | 1.0 | 85 | 0.7003 | 0.71 | 0.6826 | |
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| 0.532 | 2.0 | 170 | 0.6556 | 0.73 | 0.7305 | |
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| 0.361 | 3.0 | 255 | 0.7729 | 0.74 | 0.7346 | |
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| 0.2421 | 4.0 | 340 | 0.9271 | 0.65 | 0.6591 | |
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| 0.177 | 5.0 | 425 | 1.0259 | 0.71 | 0.7199 | |
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| 0.1242 | 6.0 | 510 | 1.2122 | 0.68 | 0.6905 | |
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| 0.093 | 7.0 | 595 | 1.2365 | 0.68 | 0.6889 | |
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| 0.0886 | 8.0 | 680 | 1.2218 | 0.71 | 0.7185 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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