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-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-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: 0.4456
+- Accuracy: 0.8656
+- Precision: 0.6916
+- Recall: 0.6146
+- F1: 0.6460
+
+## 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  | 0.4223          | 0.8458   | 0.6342    | 0.6336 | 0.6232 |
+| 0.4575        | 2.0   | 692  | 0.3914          | 0.8574   | 0.6554    | 0.5877 | 0.5935 |
+| 0.2895        | 3.0   | 1038 | 0.4456          | 0.8656   | 0.6916    | 0.6146 | 0.6460 |
+| 0.2895        | 4.0   | 1384 | 0.5710          | 0.8664   | 0.7133    | 0.5867 | 0.6226 |
+| 0.1725        | 5.0   | 1730 | 0.6641          | 0.8585   | 0.6657    | 0.6120 | 0.6354 |
+| 0.1259        | 6.0   | 2076 | 0.6784          | 0.8559   | 0.6550    | 0.6223 | 0.6356 |
+| 0.1259        | 7.0   | 2422 | 0.5981          | 0.8481   | 0.6358    | 0.6313 | 0.6309 |
+| 0.0902        | 8.0   | 2768 | 0.6867          | 0.8331   | 0.6259    | 0.6655 | 0.6343 |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.0

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