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--- |
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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: bert-finetuned-protagonist |
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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-finetuned-protagonist |
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This model is a fine-tuned version of [Davlan/bert-base-multilingual-cased-ner-hrl](https://huggingface.co/Davlan/bert-base-multilingual-cased-ner-hrl) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0745 |
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- Precision: 0.8392 |
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- Recall: 0.7767 |
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- F1: 0.8068 |
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- Accuracy: 0.9863 |
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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: 8 |
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- eval_batch_size: 8 |
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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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| No log | 1.0 | 106 | 0.0695 | 0.8251 | 0.8558 | 0.8402 | 0.9870 | |
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| No log | 2.0 | 212 | 0.0667 | 0.8244 | 0.7860 | 0.8048 | 0.9857 | |
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| No log | 3.0 | 318 | 0.0624 | 0.86 | 0.8 | 0.8289 | 0.9870 | |
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| No log | 4.0 | 424 | 0.0698 | 0.8357 | 0.8047 | 0.8199 | 0.9867 | |
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| 0.0074 | 5.0 | 530 | 0.0745 | 0.8392 | 0.7767 | 0.8068 | 0.9863 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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