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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: dadashzadeh/roberta-sentiment-persian |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: Roberta-Sentiment-Fa |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Roberta-Sentiment-Fa |
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This model is a fine-tuned version of [dadashzadeh/roberta-sentiment-persian](https://huggingface.co/dadashzadeh/roberta-sentiment-persian) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4132 |
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- Accuracy: 0.8167 |
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- F1: 0.8000 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 270 | 0.7130 | 0.7958 | 0.7818 | |
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| 0.2504 | 2.0 | 540 | 0.7877 | 0.8167 | 0.7980 | |
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| 0.2504 | 3.0 | 810 | 0.8782 | 0.8333 | 0.8182 | |
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| 0.1125 | 4.0 | 1080 | 0.9200 | 0.8333 | 0.8248 | |
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| 0.1125 | 5.0 | 1350 | 1.0536 | 0.825 | 0.8078 | |
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| 0.0337 | 6.0 | 1620 | 1.3550 | 0.825 | 0.8123 | |
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| 0.0337 | 7.0 | 1890 | 1.3131 | 0.825 | 0.8152 | |
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| 0.0073 | 8.0 | 2160 | 1.3976 | 0.8167 | 0.8005 | |
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| 0.0073 | 9.0 | 2430 | 1.3725 | 0.8167 | 0.8000 | |
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| 0.0037 | 10.0 | 2700 | 1.4132 | 0.8167 | 0.8000 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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