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README.md
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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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