Sentiment Fa

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dadashzadeh/roberta-sentiment-persian
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Roberta-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. -->
+
+# Roberta-Sentiment-Fa
+
+This model is a fine-tuned version of [dadashzadeh/roberta-sentiment-persian](https://huggingface.co/dadashzadeh/roberta-sentiment-persian) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4132
+- Accuracy: 0.8167
+- F1: 0.8000
+
+## 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: 8
+- eval_batch_size: 8
+- 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   | 270  | 0.7130          | 0.7958   | 0.7818 |
+| 0.2504        | 2.0   | 540  | 0.7877          | 0.8167   | 0.7980 |
+| 0.2504        | 3.0   | 810  | 0.8782          | 0.8333   | 0.8182 |
+| 0.1125        | 4.0   | 1080 | 0.9200          | 0.8333   | 0.8248 |
+| 0.1125        | 5.0   | 1350 | 1.0536          | 0.825    | 0.8078 |
+| 0.0337        | 6.0   | 1620 | 1.3550          | 0.825    | 0.8123 |
+| 0.0337        | 7.0   | 1890 | 1.3131          | 0.825    | 0.8152 |
+| 0.0073        | 8.0   | 2160 | 1.3976          | 0.8167   | 0.8005 |
+| 0.0073        | 9.0   | 2430 | 1.3725          | 0.8167   | 0.8000 |
+| 0.0037        | 10.0  | 2700 | 1.4132          | 0.8167   | 0.8000 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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