End of training

README.md

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+---
+library_name: transformers
+base_model: airesearch/wangchanberta-base-att-spm-uncased
+tags:
+- generated_from_trainer
+datasets:
+- orchid_corpus
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: my_test_model
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: orchid_corpus
+      type: orchid_corpus
+      config: thai_orchid_dataset
+      split: test
+      args: thai_orchid_dataset
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.6866152910160211
+    - name: Recall
+      type: recall
+      value: 0.6612566160817172
+    - name: F1
+      type: f1
+      value: 0.673697406254042
+    - name: Accuracy
+      type: accuracy
+      value: 0.8615229701891011
+---
+
+<!-- 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. -->
+
+# my_test_model
+
+This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the orchid_corpus dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4402
+- Precision: 0.6866
+- Recall: 0.6613
+- F1: 0.6737
+- Accuracy: 0.8615
+
+## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.6071        | 1.0   | 1157 | 0.4812          | 0.6686    | 0.6451 | 0.6566 | 0.8524   |
+| 0.4831        | 2.0   | 2314 | 0.4402          | 0.6866    | 0.6613 | 0.6737 | 0.8615   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan21_04-50-23_285686194f96/events.out.tfevents.1737435027.285686194f96.8914.0

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