End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: vinai/phobert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: phobert-human-finetune-seg-seed-1337
+  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. -->
+
+# phobert-human-finetune-seg-seed-1337
+
+This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4395
+- Accuracy: 0.8570
+- Precision: 0.6569
+- Recall: 0.6924
+- F1: 0.6729
+
+## 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: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 346  | 0.3643          | 0.8671   | 0.7013    | 0.5922 | 0.6310 |
+| 0.4458        | 2.0   | 692  | 0.3549          | 0.8698   | 0.7011    | 0.6338 | 0.6625 |
+| 0.2752        | 3.0   | 1038 | 0.4395          | 0.8570   | 0.6569    | 0.6924 | 0.6729 |
+| 0.2752        | 4.0   | 1384 | 0.5660          | 0.8645   | 0.6781    | 0.6046 | 0.6348 |
+| 0.1612        | 5.0   | 1730 | 0.6182          | 0.8230   | 0.6101    | 0.6878 | 0.6360 |
+| 0.1187        | 6.0   | 2076 | 0.5680          | 0.8679   | 0.6855    | 0.6337 | 0.6545 |
+| 0.1187        | 7.0   | 2422 | 0.7394          | 0.8664   | 0.6868    | 0.6266 | 0.6520 |
+| 0.0864        | 8.0   | 2768 | 0.6227          | 0.8604   | 0.6723    | 0.6441 | 0.6559 |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.0

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runs/Jul08_05-29-40_4df9daf18140/events.out.tfevents.1751953693.4df9daf18140.119.1

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