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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: Bert-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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# Bert-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: 1.3240 |
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- Accuracy: 0.8375 |
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- F1: 0.8225 |
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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 | 0.6400 | 0.8292 | 0.8140 | |
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| 0.256 | 2.0 | 540 | 0.8620 | 0.8083 | 0.7919 | |
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| 0.256 | 3.0 | 810 | 0.9867 | 0.8375 | 0.8239 | |
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| 0.1045 | 4.0 | 1080 | 1.0124 | 0.8375 | 0.8213 | |
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| 0.1045 | 5.0 | 1350 | 1.0423 | 0.825 | 0.8135 | |
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| 0.0397 | 6.0 | 1620 | 1.3452 | 0.8292 | 0.8136 | |
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| 0.0397 | 7.0 | 1890 | 1.1964 | 0.8333 | 0.8192 | |
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| 0.0119 | 8.0 | 2160 | 1.3196 | 0.8292 | 0.8140 | |
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| 0.0119 | 9.0 | 2430 | 1.3148 | 0.8292 | 0.8138 | |
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| 0.0043 | 10.0 | 2700 | 1.3240 | 0.8375 | 0.8225 | |
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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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