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-6960
+  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-6960
+
+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: 0.5298
+- Accuracy: 0.8578
+- Precision: 0.6727
+- Recall: 0.6734
+- F1: 0.6699
+
+## 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  | 0.4193          | 0.8417   | 0.6207    | 0.6366 | 0.6191 |
+| 0.461         | 2.0   | 692  | 0.3603          | 0.8668   | 0.6783    | 0.6527 | 0.6589 |
+| 0.2821        | 3.0   | 1038 | 0.4674          | 0.8323   | 0.5692    | 0.5625 | 0.5657 |
+| 0.2821        | 4.0   | 1384 | 0.5683          | 0.8675   | 0.7121    | 0.5963 | 0.6240 |
+| 0.1664        | 5.0   | 1730 | 0.5298          | 0.8578   | 0.6727    | 0.6734 | 0.6699 |
+| 0.1125        | 6.0   | 2076 | 0.6659          | 0.8391   | 0.6285    | 0.6851 | 0.6527 |
+| 0.1125        | 7.0   | 2422 | 0.7109          | 0.8634   | 0.6862    | 0.5978 | 0.6292 |
+| 0.0863        | 8.0   | 2768 | 0.7702          | 0.8638   | 0.6980    | 0.5886 | 0.6282 |
+| 0.0739        | 9.0   | 3114 | 0.6283          | 0.8574   | 0.6609    | 0.6352 | 0.6472 |
+| 0.0739        | 10.0  | 3460 | 0.8402          | 0.8537   | 0.6689    | 0.6275 | 0.6441 |
+
+
+### 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_05-29-58_b99d452217a0/events.out.tfevents.1751953982.b99d452217a0.119.1

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