End of training

README.md

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+---
+license: apache-2.0
+base_model: HooshvareLab/bert-fa-base-uncased-sentiment-snappfood
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: pytorch_model.bin
+  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. -->
+
+# pytorch_model.bin
+
+This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased-sentiment-snappfood](https://huggingface.co/HooshvareLab/bert-fa-base-uncased-sentiment-snappfood) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6156
+- Accuracy: 0.8674
+- F1: 0.8674
+- Precision: 0.8683
+- Recall: 0.8674
+
+## 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: 2e-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.2268        | 1.0   | 2363 | 0.3416          | 0.8656   | 0.8656 | 0.8656    | 0.8656 |
+| 0.1624        | 2.0   | 4726 | 0.4252          | 0.86     | 0.8600 | 0.8600    | 0.86   |
+| 0.0991        | 3.0   | 7089 | 0.6156          | 0.8674   | 0.8674 | 0.8683    | 0.8674 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

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