End of training

README.md

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+---
+library_name: transformers
+base_model: airesearch/wangchanberta-base-att-spm-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wangchan-sentiment-thai-text-model
+  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. -->
+
+# wangchan-sentiment-thai-text-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 None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1248
+- Accuracy: 0.7413
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6058        | 1.0   | 1911  | 0.5904          | 0.7442   |
+| 0.5355        | 2.0   | 3822  | 0.5625          | 0.7559   |
+| 0.4737        | 3.0   | 5733  | 0.5731          | 0.7493   |
+| 0.4039        | 4.0   | 7644  | 0.6235          | 0.7547   |
+| 0.3286        | 5.0   | 9555  | 0.7004          | 0.7524   |
+| 0.2704        | 6.0   | 11466 | 0.7713          | 0.7416   |
+| 0.21          | 7.0   | 13377 | 0.9502          | 0.7432   |
+| 0.1808        | 8.0   | 15288 | 0.9720          | 0.7407   |
+| 0.1494        | 9.0   | 17199 | 1.0570          | 0.7361   |
+| 0.1304        | 10.0  | 19110 | 1.1248          | 0.7413   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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