End of training

README.md

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+---
+base_model: clicknext/phayathaibert
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: NER_thai_phayathai
+  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. -->
+
+# NER_thai_phayathai
+
+This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2431
+- Precision: 0.6569
+- Recall: 0.7286
+- F1: 0.6909
+- Accuracy: 0.9292
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.464         | 1.0   | 651  | 0.2723          | 0.6152    | 0.6910 | 0.6509 | 0.9225   |
+| 0.2648        | 2.0   | 1302 | 0.2464          | 0.6480    | 0.7263 | 0.6849 | 0.9284   |
+| 0.228         | 3.0   | 1953 | 0.2506          | 0.6442    | 0.7316 | 0.6851 | 0.9261   |
+| 0.1962        | 4.0   | 2604 | 0.2431          | 0.6569    | 0.7286 | 0.6909 | 0.9292   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0