End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: vinai/phobert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: project-2
+  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. -->
+
+# project-2
+
+This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4711
+- Accuracy: 0.8232
+- F1: 0.8232
+- Precision: 0.8234
+- Recall: 0.8232
+
+## 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 | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4875        | 1.0   | 2813  | 0.4647          | 0.7732   | 0.7712 | 0.7832    | 0.7732 |
+| 0.426         | 2.0   | 5626  | 0.4987          | 0.7736   | 0.7685 | 0.7999    | 0.7736 |
+| 0.3703        | 3.0   | 8439  | 0.4647          | 0.8012   | 0.7999 | 0.8094    | 0.8012 |
+| 0.3185        | 4.0   | 11252 | 0.4711          | 0.8232   | 0.8232 | 0.8234    | 0.8232 |
+| 0.2738        | 5.0   | 14065 | 0.5240          | 0.8176   | 0.8169 | 0.8228    | 0.8176 |
+| 0.2279        | 6.0   | 16878 | 0.5875          | 0.8164   | 0.8164 | 0.8164    | 0.8164 |
+| 0.1935        | 7.0   | 19691 | 0.7180          | 0.8196   | 0.8194 | 0.8209    | 0.8196 |
+| 0.1671        | 8.0   | 22504 | 0.8426          | 0.8208   | 0.8205 | 0.8232    | 0.8208 |
+| 0.1357        | 9.0   | 25317 | 0.8800          | 0.8216   | 0.8216 | 0.8216    | 0.8216 |
+| 0.1073        | 10.0  | 28130 | 0.9236          | 0.8148   | 0.8148 | 0.8150    | 0.8148 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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runs/Nov13_01-23-46_cb3bfed2f7df/events.out.tfevents.1731470337.cb3bfed2f7df.23.1

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