Model save

README.md

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+---
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: intent-classification
+ 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. -->
+
+# intent-classification
+
+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: 0.1902
+- Accuracy: 0.9597
+
+## 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 | 93 | 1.0236 | 0.8468 |
+| No log | 2.0 | 186 | 0.4412 | 0.9355 |
+| No log | 3.0 | 279 | 0.2577 | 0.9462 |
+| No log | 4.0 | 372 | 0.2303 | 0.9409 |
+| No log | 5.0 | 465 | 0.2056 | 0.9516 |
+| 0.623 | 6.0 | 558 | 0.2172 | 0.9516 |
+| 0.623 | 7.0 | 651 | 0.1973 | 0.9516 |
+| 0.623 | 8.0 | 744 | 0.1938 | 0.9597 |
+| 0.623 | 9.0 | 837 | 0.1921 | 0.9543 |
+| 0.623 | 10.0 | 930 | 0.1902 | 0.9597 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Apr07_15-37-09_275167dd14b7/events.out.tfevents.1712504619.275167dd14b7.262.1

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