Training completed!

README.md

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+---
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+model-index:
+- name: CS505-NerCSI-PhoBERT
+  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-NerCSI-PhoBERT
+
+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: 0.0122
+
+## 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: 8
+- seed: 41
+- 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        | 1.0   | 369  | 0.2480          |
+| 0.386         | 2.0   | 738  | 0.1726          |
+| 0.2271        | 3.0   | 1107 | 0.1316          |
+| 0.2271        | 4.0   | 1476 | 0.0847          |
+| 0.1506        | 5.0   | 1845 | 0.0519          |
+| 0.0895        | 6.0   | 2214 | 0.0376          |
+| 0.0582        | 7.0   | 2583 | 0.0256          |
+| 0.0582        | 8.0   | 2952 | 0.0181          |
+| 0.035         | 9.0   | 3321 | 0.0158          |
+| 0.0228        | 10.0  | 3690 | 0.0122          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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