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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: HooshvareLab/bert-fa-base-uncased |
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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 [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5224 |
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- Accuracy: 0.8 |
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- F1: 0.7972 |
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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 | 135 | 0.7296 | 0.7292 | 0.6649 | |
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| No log | 2.0 | 270 | 0.6285 | 0.7875 | 0.7794 | |
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| No log | 3.0 | 405 | 0.5707 | 0.8 | 0.7931 | |
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| 0.6461 | 4.0 | 540 | 0.5545 | 0.8 | 0.7936 | |
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| 0.6461 | 5.0 | 675 | 0.5248 | 0.8125 | 0.8080 | |
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| 0.6461 | 6.0 | 810 | 0.5166 | 0.8042 | 0.8001 | |
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| 0.6461 | 7.0 | 945 | 0.5170 | 0.8042 | 0.8093 | |
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| 0.3513 | 8.0 | 1080 | 0.5179 | 0.8042 | 0.8064 | |
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| 0.3513 | 9.0 | 1215 | 0.5212 | 0.8 | 0.8006 | |
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| 0.3513 | 10.0 | 1350 | 0.5224 | 0.8 | 0.7972 | |
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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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