Sentiment Fa_BERT

README.md

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+---
+license: apache-2.0
+base_model: HooshvareLab/bert-fa-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Bert-Sentiment-Fa
+  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-Sentiment-Fa
+
+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: 0.4804
+- Accuracy: 0.8667
+- F1: 0.8055
+
+## 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: 3e-06
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 143  | 0.6056          | 0.7765   | 0.6647 |
+| No log        | 2.0   | 286  | 0.4282          | 0.8549   | 0.7825 |
+| No log        | 3.0   | 429  | 0.4119          | 0.8588   | 0.7949 |
+| 0.5089        | 4.0   | 572  | 0.4091          | 0.8667   | 0.8102 |
+| 0.5089        | 5.0   | 715  | 0.4226          | 0.8627   | 0.7988 |
+| 0.5089        | 6.0   | 858  | 0.4333          | 0.8627   | 0.8031 |
+| 0.203         | 7.0   | 1001 | 0.4500          | 0.8627   | 0.7972 |
+| 0.203         | 8.0   | 1144 | 0.4540          | 0.8667   | 0.8073 |
+| 0.203         | 9.0   | 1287 | 0.4765          | 0.8667   | 0.8055 |
+| 0.203         | 10.0  | 1430 | 0.4804          | 0.8667   | 0.8055 |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

pytorch_model.bin

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