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: 0.3215
+- Accuracy: 0.9594
+
+## 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: 2e-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   | 122  | 2.0600          | 0.5594   |
+| No log        | 2.0   | 244  | 1.3525          | 0.7844   |
+| No log        | 3.0   | 366  | 0.9400          | 0.8812   |
+| No log        | 4.0   | 488  | 0.6653          | 0.9344   |
+| 1.295         | 5.0   | 610  | 0.5045          | 0.9469   |
+| 1.295         | 6.0   | 732  | 0.4192          | 0.9594   |
+| 1.295         | 7.0   | 854  | 0.3692          | 0.9563   |
+| 1.295         | 8.0   | 976  | 0.3445          | 0.9563   |
+| 0.2942        | 9.0   | 1098 | 0.3258          | 0.9563   |
+| 0.2942        | 10.0  | 1220 | 0.3215          | 0.9594   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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