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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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model-index: |
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- name: my_model |
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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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# my_model |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8573 |
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- Accuracy: 0.8695 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 360 | 1.0779 | 0.7772 | |
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| 1.8476 | 2.0 | 720 | 0.7038 | 0.8436 | |
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| 0.6038 | 3.0 | 1080 | 0.6356 | 0.8490 | |
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| 0.6038 | 4.0 | 1440 | 0.6477 | 0.8470 | |
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| 0.3037 | 5.0 | 1800 | 0.6521 | 0.8515 | |
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| 0.1723 | 6.0 | 2160 | 0.6938 | 0.8554 | |
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| 0.1066 | 7.0 | 2520 | 0.6942 | 0.8519 | |
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| 0.1066 | 8.0 | 2880 | 0.7426 | 0.8559 | |
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| 0.0636 | 9.0 | 3240 | 0.7769 | 0.8549 | |
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| 0.0464 | 10.0 | 3600 | 0.8179 | 0.8549 | |
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| 0.0464 | 11.0 | 3960 | 0.8457 | 0.8544 | |
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| 0.029 | 12.0 | 4320 | 0.8509 | 0.8554 | |
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| 0.0241 | 13.0 | 4680 | 0.8534 | 0.8529 | |
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| 0.0158 | 14.0 | 5040 | 0.8793 | 0.8549 | |
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| 0.0158 | 15.0 | 5400 | 0.9053 | 0.8544 | |
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| 0.0131 | 16.0 | 5760 | 0.9009 | 0.8539 | |
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| 0.012 | 17.0 | 6120 | 0.9124 | 0.8554 | |
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| 0.012 | 18.0 | 6480 | 0.9092 | 0.8549 | |
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| 0.0114 | 19.0 | 6840 | 0.9117 | 0.8529 | |
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| 0.0079 | 20.0 | 7200 | 0.9129 | 0.8519 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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