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-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-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: 0.4071
+- Accuracy: 0.8641
+- Precision: 0.6832
+- Recall: 0.6493
+- F1: 0.6626
+
+## 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  | 0.3907          | 0.8612   | 0.6775    | 0.6062 | 0.6331 |
+| 0.4561        | 2.0   | 692  | 0.3802          | 0.8544   | 0.6457    | 0.6216 | 0.6237 |
+| 0.2919        | 3.0   | 1038 | 0.4071          | 0.8641   | 0.6832    | 0.6493 | 0.6626 |
+| 0.2919        | 4.0   | 1384 | 0.5535          | 0.8634   | 0.7034    | 0.5859 | 0.6197 |
+| 0.1808        | 5.0   | 1730 | 0.6397          | 0.8372   | 0.6556    | 0.6194 | 0.6087 |
+| 0.1251        | 6.0   | 2076 | 0.5417          | 0.8570   | 0.6550    | 0.6391 | 0.6467 |
+| 0.1251        | 7.0   | 2422 | 0.6166          | 0.8608   | 0.6760    | 0.6321 | 0.6509 |
+| 0.0932        | 8.0   | 2768 | 0.7020          | 0.8368   | 0.6254    | 0.6824 | 0.6496 |
+
+
+### 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_03-14-32_ee7ddb425515/events.out.tfevents.1751945576.ee7ddb425515.121.1

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