End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: vinai/phobert-large
+tags:
+- generated_from_trainer
+model-index:
+- name: grab-ner-ghtk-ai-fluent-segmented-21-label-new-data-3090-6Obt-1
+  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. -->
+
+# grab-ner-ghtk-ai-fluent-segmented-21-label-new-data-3090-6Obt-1
+
+This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on the None dataset.
+
+## 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: 2.5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Ho                                                        | Hoảng thời gian                                           | Háng trừu tượng                                            | Hông tin ctt                                              | Hụ cấp                                                                                                  | Hứ                                                        | Iấy tờ                                                    | Iền cụ thể                                                 | Iền trừu tượng                                            | Ã số thuế                                                 | Ã đơn                                                      | Ình thức làm việc                                         | Ông                                                                                                       | Ương                                                       | Ị trí                                                      | Ố công                                                                                                   | Ố giờ                                                     | Ố điểm                                                     | Ố đơn                                                      | Ợt                                                        | Ỷ lệ                                                      | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| No log        | 1.0   | 147  | 0.4119          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 5} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 6} | {'precision': 0.5657894736842105, 'recall': 0.6825396825396826, 'f1': 0.6187050359712231, 'number': 63} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 9} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 8} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 31} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 5} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 2} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 22} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 2} | {'precision': 0.26865671641791045, 'recall': 0.43902439024390244, 'f1': 0.3333333333333333, 'number': 82} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 54} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16} | {'precision': 0.6808510638297872, 'recall': 0.9411764705882353, 'f1': 0.7901234567901235, 'number': 238} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 4} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 42} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | 0.5622            | 0.4864         | 0.5215     | 0.8912           |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1