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Roberta-Sentiment-Fa
Rasooli/Roberta-Sentiment-Fa
Roberta-Sentiment-Fa is a text classification model from Rasooli. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Oct 11, 2024
- Updated
- Oct 11, 2024
- SHA
- f40e3103
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Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Oct 11, 2024
- Updated
- Oct 11, 2024