Model save

README.md

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+---
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# model
+
+This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1807
+- Accuracy: 0.9547
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 94   | 1.1083          | 0.7733   |
+| No log        | 2.0   | 188  | 0.6041          | 0.8987   |
+| No log        | 3.0   | 282  | 0.3481          | 0.9307   |
+| No log        | 4.0   | 376  | 0.2496          | 0.9413   |
+| No log        | 5.0   | 470  | 0.2331          | 0.9493   |
+| 0.6598        | 6.0   | 564  | 0.1807          | 0.9547   |
+| 0.6598        | 7.0   | 658  | 0.2024          | 0.9467   |
+| 0.6598        | 8.0   | 752  | 0.1824          | 0.9467   |
+| 0.6598        | 9.0   | 846  | 0.2024          | 0.944    |
+| 0.6598        | 10.0  | 940  | 0.2047          | 0.944    |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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