End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HooshvareLab/bert-fa-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bert-fa-uncased-augmented-WithTokens
+  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. -->
+
+# bert-fa-uncased-augmented-WithTokens
+
+This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4364
+- Accuracy: 0.8259
+- F1: 0.8255
+- Precision: 0.8272
+- Recall: 0.8249
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6041        | 1.0   | 986  | 0.4246          | 0.8174   | 0.8158 | 0.8160    | 0.8157 |
+| 0.3503        | 2.0   | 1972 | 0.4364          | 0.8259   | 0.8255 | 0.8272    | 0.8249 |
+| 0.2176        | 3.0   | 2958 | 0.5571          | 0.8248   | 0.8231 | 0.8260    | 0.8230 |
+| 0.1321        | 4.0   | 3944 | 0.7621          | 0.8134   | 0.8120 | 0.8136    | 0.8117 |
+
+
+### Framework versions
+
+- Transformers 4.55.1
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.4

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