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-tl-seg-seed-24
+  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-tl-seg-seed-24
+
+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: 0.4485
+- Accuracy: 0.8432
+- Precision: 0.6562
+- Recall: 0.4696
+- F1: 0.4951
+
+## 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  | 0.5115          | 0.8252   | 0.5391    | 0.3562 | 0.3443 |
+| 0.5974        | 2.0   | 692  | 0.4692          | 0.8387   | 0.6396    | 0.4344 | 0.4514 |
+| 0.4599        | 3.0   | 1038 | 0.4663          | 0.8361   | 0.6226    | 0.4128 | 0.4293 |
+| 0.4599        | 4.0   | 1384 | 0.4646          | 0.8379   | 0.6699    | 0.4218 | 0.4423 |
+| 0.4571        | 5.0   | 1730 | 0.4580          | 0.8383   | 0.6521    | 0.4285 | 0.4490 |
+| 0.4498        | 6.0   | 2076 | 0.4584          | 0.8402   | 0.6690    | 0.4422 | 0.4610 |
+| 0.4498        | 7.0   | 2422 | 0.4629          | 0.8372   | 0.6626    | 0.4118 | 0.4318 |
+| 0.4515        | 8.0   | 2768 | 0.4522          | 0.8409   | 0.6320    | 0.4529 | 0.4744 |
+| 0.4474        | 9.0   | 3114 | 0.4536          | 0.8387   | 0.6573    | 0.4217 | 0.4438 |
+| 0.4474        | 10.0  | 3460 | 0.4561          | 0.8439   | 0.6656    | 0.4647 | 0.4816 |
+| 0.4509        | 11.0  | 3806 | 0.4530          | 0.8379   | 0.6461    | 0.4221 | 0.4468 |
+| 0.4438        | 12.0  | 4152 | 0.4485          | 0.8432   | 0.6562    | 0.4696 | 0.4951 |
+| 0.4438        | 13.0  | 4498 | 0.4501          | 0.8387   | 0.6479    | 0.4342 | 0.4618 |
+| 0.4505        | 14.0  | 4844 | 0.4528          | 0.8387   | 0.6406    | 0.4239 | 0.4471 |
+| 0.4421        | 15.0  | 5190 | 0.4529          | 0.8391   | 0.6485    | 0.4233 | 0.4478 |
+| 0.45          | 16.0  | 5536 | 0.4665          | 0.8372   | 0.6692    | 0.4110 | 0.4320 |
+| 0.45          | 17.0  | 5882 | 0.4475          | 0.8417   | 0.6431    | 0.4438 | 0.4686 |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.0

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