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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- vietnamese_students_feedback |
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metrics: |
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- accuracy |
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model-index: |
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- name: phobert-large-finetuned-vietnamese_students_feedback |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: vietnamese_students_feedback |
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type: vietnamese_students_feedback |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9463044851547694 |
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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-large-finetuned-vietnamese_students_feedback |
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This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on the vietnamese_students_feedback dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2285 |
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- Accuracy: 0.9463 |
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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: 24 |
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- eval_batch_size: 24 |
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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: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 477 | 0.2088 | 0.9375 | |
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| 0.3231 | 2.0 | 954 | 0.2463 | 0.9444 | |
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| 0.1805 | 3.0 | 1431 | 0.2285 | 0.9463 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.1+cu113 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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