End of training

README.md

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+---
+license: cc-by-4.0
+base_model: pythainlp/thainer-corpus-v2-base-model
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: token_classification_data_pythainlp
+  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. -->
+
+# token_classification_data_pythainlp
+
+This model is a fine-tuned version of [pythainlp/thainer-corpus-v2-base-model](https://huggingface.co/pythainlp/thainer-corpus-v2-base-model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1187
+- Precision: 0.8363
+- Recall: 0.8886
+- F1: 0.8616
+- Accuracy: 0.9734
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 247  | 0.1026          | 0.8297    | 0.8810 | 0.8546 | 0.9736   |
+| No log        | 2.0   | 494  | 0.1113          | 0.8250    | 0.8818 | 0.8524 | 0.9730   |
+| 0.0356        | 3.0   | 741  | 0.1131          | 0.8300    | 0.8852 | 0.8567 | 0.9726   |
+| 0.0356        | 4.0   | 988  | 0.1188          | 0.8307    | 0.8899 | 0.8593 | 0.9730   |
+| 0.02          | 5.0   | 1235 | 0.1187          | 0.8363    | 0.8886 | 0.8616 | 0.9734   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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