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: 0.1946
+- Accuracy: 0.9576
+
+## 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   | 101  | 1.0266          | 0.8504   |
+| No log        | 2.0   | 202  | 0.4850          | 0.9451   |
+| No log        | 3.0   | 303  | 0.2802          | 0.9551   |
+| No log        | 4.0   | 404  | 0.2025          | 0.9576   |
+| 0.6615        | 5.0   | 505  | 0.2072          | 0.9501   |
+| 0.6615        | 6.0   | 606  | 0.2131          | 0.9426   |
+| 0.6615        | 7.0   | 707  | 0.2189          | 0.9551   |
+| 0.6615        | 8.0   | 808  | 0.1967          | 0.9576   |
+| 0.6615        | 9.0   | 909  | 0.1958          | 0.9576   |
+| 0.0705        | 10.0  | 1010 | 0.1946          | 0.9576   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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