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--- |
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base_model: vinai/phobert-base |
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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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model-index: |
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- name: checkpoint |
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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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# checkpoint |
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1674 |
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- Accuracy: 0.4286 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 10 |
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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 | 7 | 1.3602 | 0.5714 | |
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| No log | 2.0 | 14 | 1.3269 | 0.5714 | |
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| No log | 3.0 | 21 | 1.2438 | 0.2857 | |
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| No log | 4.0 | 28 | 1.1971 | 0.4286 | |
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| No log | 5.0 | 35 | 1.2036 | 0.2857 | |
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| No log | 6.0 | 42 | 1.1996 | 0.2857 | |
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| No log | 7.0 | 49 | 1.1651 | 0.4286 | |
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| No log | 8.0 | 56 | 1.1406 | 0.4286 | |
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| No log | 9.0 | 63 | 1.1620 | 0.4286 | |
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| No log | 10.0 | 70 | 1.1674 | 0.4286 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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