update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- vietnamese_students_feedback
+metrics:
+- accuracy
+model-index:
+- name: phobert-large-finetuned-vietnamese_students_feedback
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: vietnamese_students_feedback
+      type: vietnamese_students_feedback
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9463044851547694
+---
+
+<!-- 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. -->
+
+# phobert-large-finetuned-vietnamese_students_feedback
+
+This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on the vietnamese_students_feedback dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2285
+- Accuracy: 0.9463
+
+## 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: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 477  | 0.2088          | 0.9375   |
+| 0.3231        | 2.0   | 954  | 0.2463          | 0.9444   |
+| 0.1805        | 3.0   | 1431 | 0.2285          | 0.9463   |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.1+cu113
+- Datasets 1.17.0
+- Tokenizers 0.10.3