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--- |
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license: apache-2.0 |
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base_model: HooshvareLab/bert-fa-base-uncased-clf-persiannews |
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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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- precision |
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model-index: |
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- name: uncased-clf-persiannews_v2 |
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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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# uncased-clf-persiannews_v2 |
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This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased-clf-persiannews](https://huggingface.co/HooshvareLab/bert-fa-base-uncased-clf-persiannews) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9489 |
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- Accuracy: 0.6504 |
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- F1: 0.6504 |
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- Precision: 0.6521 |
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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: 5e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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 | Precision | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:| |
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| No log | 1.0 | 221 | 1.1578 | 0.5051 | 0.4978 | 0.5159 | |
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| No log | 2.0 | 442 | 1.0197 | 0.5846 | 0.5823 | 0.5889 | |
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| 1.1541 | 3.0 | 663 | 0.9553 | 0.6118 | 0.6087 | 0.6163 | |
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| 1.1541 | 4.0 | 884 | 0.9413 | 0.6209 | 0.6199 | 0.6281 | |
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| 0.8174 | 5.0 | 1105 | 0.9203 | 0.6493 | 0.6493 | 0.6506 | |
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| 0.8174 | 6.0 | 1326 | 0.9302 | 0.6493 | 0.6479 | 0.6551 | |
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| 0.6483 | 7.0 | 1547 | 0.9411 | 0.6368 | 0.6346 | 0.6379 | |
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| 0.6483 | 8.0 | 1768 | 0.9430 | 0.6504 | 0.6496 | 0.6514 | |
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| 0.6483 | 9.0 | 1989 | 0.9469 | 0.6481 | 0.6478 | 0.6500 | |
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| 0.5439 | 10.0 | 2210 | 0.9489 | 0.6504 | 0.6504 | 0.6521 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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