Training complete - Final model

README.md

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+---
+library_name: transformers
+base_model: clicknext/phayathaibert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Sentiment_PhayaThaiBERT
+  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. -->
+
+# Sentiment_PhayaThaiBERT
+
+This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4796
+- Accuracy: 0.7420
+
+## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6755        | 1.0   | 512  | 0.7123          | 0.6874   |
+| 0.5049        | 2.0   | 1024 | 0.7168          | 0.7147   |
+| 0.3099        | 3.0   | 1536 | 0.8684          | 0.7369   |
+| 0.2249        | 4.0   | 2048 | 1.0743          | 0.7369   |
+| 0.1696        | 5.0   | 2560 | 1.2089          | 0.7267   |
+| 0.1126        | 6.0   | 3072 | 1.3945          | 0.7443   |
+| 0.0709        | 7.0   | 3584 | 1.4796          | 0.7420   |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

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