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-69
+  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-69
+
+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: 0.3980
+- Accuracy: 0.8683
+- Precision: 0.6929
+- Recall: 0.6500
+- F1: 0.6658
+
+## 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  | 0.4182          | 0.8406   | 0.6133    | 0.6124 | 0.5936 |
+| 0.4634        | 2.0   | 692  | 0.4766          | 0.8353   | 0.6370    | 0.5809 | 0.5147 |
+| 0.291         | 3.0   | 1038 | 0.3980          | 0.8683   | 0.6929    | 0.6500 | 0.6658 |
+| 0.291         | 4.0   | 1384 | 0.5448          | 0.8537   | 0.6428    | 0.6282 | 0.6269 |
+| 0.1759        | 5.0   | 1730 | 0.5188          | 0.8372   | 0.6457    | 0.6572 | 0.6379 |
+| 0.1243        | 6.0   | 2076 | 0.5866          | 0.8518   | 0.6448    | 0.6292 | 0.6357 |
+| 0.1243        | 7.0   | 2422 | 0.6440          | 0.8630   | 0.6778    | 0.6128 | 0.6404 |
+| 0.1005        | 8.0   | 2768 | 0.6986          | 0.8593   | 0.6667    | 0.6217 | 0.6341 |
+
+
+### 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_05-00-10_373fb7802a4c/events.out.tfevents.1751951936.373fb7802a4c.122.1

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