Training completed!

README.md

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+---
+base_model: vinai/phobert-base
+tags:
+- generated_from_trainer
+model-index:
+- name: CS505-Classifier-T4_predictLabel_a1
+  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. -->
+
+# CS505-Classifier-T4_predictLabel_a1
+
+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: 0.1123
+
+## 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: 32
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.98  | 48   | 1.0265          |
+| No log        | 1.96  | 96   | 0.5901          |
+| No log        | 2.94  | 144  | 0.3601          |
+| No log        | 3.92  | 192  | 0.2500          |
+| No log        | 4.9   | 240  | 0.2089          |
+| No log        | 5.88  | 288  | 0.1765          |
+| No log        | 6.86  | 336  | 0.1441          |
+| No log        | 7.84  | 384  | 0.1320          |
+| No log        | 8.82  | 432  | 0.1174          |
+| No log        | 9.8   | 480  | 0.1123          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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