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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: finetuned_parsBERT_NER_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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# finetuned_parsBERT_NER_fa |
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This model is a fine-tuned version of [HooshvareLab/bert-fa-zwnj-base](https://huggingface.co/HooshvareLab/bert-fa-zwnj-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0293 |
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- Precision: 0.9435 |
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- Recall: 0.9568 |
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- F1: 0.9501 |
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- Accuracy: 0.9941 |
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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-05 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1202 | 1.0 | 1821 | 0.0528 | 0.8209 | 0.8587 | 0.8394 | 0.9831 | |
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| 0.0383 | 2.0 | 3642 | 0.0348 | 0.9060 | 0.9189 | 0.9124 | 0.9899 | |
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| 0.0168 | 3.0 | 5463 | 0.0278 | 0.9249 | 0.9420 | 0.9334 | 0.9923 | |
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| 0.0077 | 4.0 | 7284 | 0.0274 | 0.9354 | 0.9517 | 0.9435 | 0.9936 | |
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| 0.0037 | 5.0 | 9105 | 0.0293 | 0.9435 | 0.9568 | 0.9501 | 0.9941 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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