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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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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: named-entity-recognition-distilbert-A |
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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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# named-entity-recognition-distilbert-A |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the Multinerd dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0606 |
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- Precision: 0.8940 |
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- Recall: 0.9027 |
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- F1: 0.8983 |
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- Accuracy: 0.9833 |
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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: 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: 3 |
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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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| 0.032 | 1.0 | 8205 | 0.0496 | 0.8843 | 0.8928 | 0.8885 | 0.9825 | |
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| 0.019 | 2.0 | 16410 | 0.0540 | 0.9046 | 0.8909 | 0.8977 | 0.9835 | |
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| 0.0121 | 3.0 | 24615 | 0.0606 | 0.8940 | 0.9027 | 0.8983 | 0.9833 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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### Citation |
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### Bibtex |
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``` |
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@software{Ali_Raza, |
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author = {Raza, Ali}, |
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license = { BSD-2-Clause license}, |
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title = {{Named Entity Recognition using Multinerd}}, |
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url = {https://github.com/raza4729/NER} |
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} |
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``` |
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