End of training

README.md

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+---
+base_model: airesearch/wangchanberta-base-att-spm-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: lst20-baseline-new
+  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. -->
+
+# lst20-baseline-new
+
+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: 0.1359
+- Precision: 0.8427
+- Recall: 0.6944
+- F1: 0.7614
+- Accuracy: 0.9474
+
+## 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: 1e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1354        | 1.0   | 1274 | 0.1384          | 0.8232    | 0.6967 | 0.7547 | 0.9453   |
+| 0.1392        | 2.0   | 2548 | 0.1396          | 0.8570    | 0.6681 | 0.7508 | 0.9464   |
+| 0.1325        | 3.0   | 3822 | 0.1352          | 0.8148    | 0.7212 | 0.7651 | 0.9465   |
+| 0.1266        | 4.0   | 5096 | 0.1366          | 0.8536    | 0.6746 | 0.7536 | 0.9467   |
+| 0.1195        | 5.0   | 6370 | 0.1359          | 0.8427    | 0.6944 | 0.7614 | 0.9474   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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