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language: |
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- es |
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license: apache-2.0 |
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datasets: |
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- eriktks/conll2002 |
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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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pipeline_tag: token-classification |
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--- |
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# Model Name: bert-finetuned-ner-1 |
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This is a BERT model fine-tuned for Named Entity Recognition (NER). |
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# Model Description |
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This is a fine-tuned BERT model for Named Entity Recognition (NER) task using CONLL2002 dataset. |
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In the first part, the dataset must be pre-processed in order to give it to the model. This is done using the 🤗 Transformers and BERT tokenizers. Once this is done, finetuning is applied from *[bert-base-cased](https://huggingface.co./google-bert/bert-base-cased)* and using the 🤗 *AutoModelForTokenClassification*. |
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Finally, the model is trained obtaining the neccesary metrics for evaluating its performance (Precision, Recall, F1 and Accuracy) |
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Summary of executed tests can be found in: https://docs.google.com/spreadsheets/d/1lI7skNIvRurwq3LA5ps7JFK5TxToEx4s7Kaah3ezyQc/edit?usp=sharing |
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Model can be found in: https://huggingface.co./paulrojasg/bert-finetuned-ner-1 |
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Github repository: https://github.com/paulrojasg/nlp_4th_workshop |
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# Training |
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## Training Details |
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- Epochs: 10 |
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- Learning Rate: 2e-05 |
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- Weight Decay: 0.01 |
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- Batch Size (Train): 16 |
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- Batch Size (Eval): 8 |
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## Training Metrics |
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| Epoch | Training Loss | Validation Loss | Precision | Recall | F1 Score | Accuracy | |
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|:----:|:-------------:|:---------------:|:---------:|:------:|:--------:|:--------:| |
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| 1 | 0.1729| 0.1462 | 0.6739 | 0.7376 | 0.7043 | 0.9590 | |
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| 2 | 0.0750| 0.1432 | 0.7030 | 0.7684 | 0.7342 | 0.9625 | |
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| 3 | 0.0496| 0.1394 | 0.7725 | 0.7983 | 0.7852 | 0.9667 | |
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| 4 | 0.0351| 0.1460 | 0.7678 | 0.8017 | 0.7844 | 0.9672 | |
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| 5 | 0.0255| 0.1521 | 0.7656 | 0.8081 | 0.7863 | 0.9678 | |
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| 6 | 0.0182| 0.1709 | 0.7573 | 0.8015 | 0.7787 | 0.9667 | |
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| 7 | 0.0134| 0.1753 | 0.7794 | 0.8159 | 0.7973 | 0.9691 | |
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| 8 | 0.0110| 0.1806 | 0.7674 | 0.8125 | 0.7893 | 0.9685 | |
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| 9 | 0.0080| 0.1938 | 0.7724 | 0.8139 | 0.7926 | 0.9683 | |
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| 10 | 0.0072| 0.1938 | 0.7722 | 0.8139 | 0.7925 | 0.9685 | |
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# Authors |
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Made by: |
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- Paul Rodrigo Rojas Guerrero |
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- Jose Luis Hincapie Bucheli |
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- Sebastián Idrobo Avirama |
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With help from: |
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- [Raúl Ernesto Gutiérrez](https://huggingface.co./raulgdp) |
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