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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: rezaFarsh/ternary_persian_sentiment_analysis |
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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 [rezaFarsh/ternary_persian_sentiment_analysis](https://huggingface.co./rezaFarsh/ternary_persian_sentiment_analysis) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2467 |
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- Accuracy: 0.3696 |
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- F1: 0.2679 |
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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: 3e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 64 |
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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 | 26 | 3.0226 | 0.1739 | 0.1632 | |
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| No log | 2.0 | 52 | 2.0593 | 0.3261 | 0.2614 | |
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| No log | 3.0 | 78 | 1.6844 | 0.3696 | 0.2821 | |
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| No log | 4.0 | 104 | 1.4833 | 0.3696 | 0.2731 | |
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| No log | 5.0 | 130 | 1.3616 | 0.3913 | 0.2871 | |
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| No log | 6.0 | 156 | 1.3051 | 0.3913 | 0.2871 | |
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| No log | 7.0 | 182 | 1.2747 | 0.3913 | 0.2871 | |
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| No log | 8.0 | 208 | 1.2585 | 0.3696 | 0.2679 | |
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| No log | 9.0 | 234 | 1.2488 | 0.3913 | 0.2871 | |
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| No log | 10.0 | 260 | 1.2467 | 0.3696 | 0.2679 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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