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--- |
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language: |
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- es |
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tags: |
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- generated_from_trainer |
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datasets: |
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- jorgeortizfuentes/spanish_nominal_groups_conll2003 |
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model-index: |
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- name: nominal-groups-recognition-bert-base-spanish-wwm-cased |
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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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# nominal-groups-recognition-bert-base-spanish-wwm-cased |
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the jorgeortizfuentes/spanish_nominal_groups_conll2003 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2988 |
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- Ng Precision: 0.7309 |
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- Ng Recall: 0.7780 |
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- Ng F1: 0.7537 |
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- Ng Number: 3198 |
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- Overall Precision: 0.7309 |
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- Overall Recall: 0.7780 |
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- Overall F1: 0.7537 |
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- Overall Accuracy: 0.9019 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 13 |
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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 | Ng Precision | Ng Recall | Ng F1 | Ng Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:---------:|:------:|:---------:|:-----------------:|:--------------:|:----------:|:----------------:| |
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| 0.451 | 1.0 | 114 | 0.2882 | 0.6985 | 0.7483 | 0.7225 | 3198 | 0.6985 | 0.7483 | 0.7225 | 0.8899 | |
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| 0.2429 | 2.0 | 228 | 0.2917 | 0.7294 | 0.7483 | 0.7387 | 3198 | 0.7294 | 0.7483 | 0.7387 | 0.8932 | |
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| 0.193 | 3.0 | 342 | 0.2864 | 0.7306 | 0.7727 | 0.7511 | 3198 | 0.7306 | 0.7727 | 0.7511 | 0.9000 | |
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| 0.1586 | 4.0 | 456 | 0.2988 | 0.7309 | 0.7780 | 0.7537 | 3198 | 0.7309 | 0.7780 | 0.7537 | 0.9019 | |
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| 0.1386 | 5.0 | 570 | 0.3116 | 0.7275 | 0.7770 | 0.7514 | 3198 | 0.7275 | 0.7770 | 0.7514 | 0.9003 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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