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-orchid-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-orchid-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: 0.1383
+- Precision: 0.8460
+- Recall: 0.6761
+- F1: 0.7516
+- Accuracy: 0.9460
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1753        | 1.0   | 1425 | 0.1463          | 0.8332    | 0.6466 | 0.7281 | 0.9417   |
+| 0.1513        | 2.0   | 2850 | 0.1457          | 0.8829    | 0.6099 | 0.7214 | 0.9431   |
+| 0.1393        | 3.0   | 4275 | 0.1388          | 0.8607    | 0.6495 | 0.7403 | 0.9450   |
+| 0.129         | 4.0   | 5700 | 0.1394          | 0.8561    | 0.6596 | 0.7451 | 0.9455   |
+| 0.1266        | 5.0   | 7125 | 0.1383          | 0.8460    | 0.6761 | 0.7516 | 0.9460   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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