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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2837
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- Ng Precision: 0.7207
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- Ng Recall: 0.7761
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- Ng F1: 0.7474
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- Ng Number: 3198
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- Overall Precision: 0.7207
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- Overall Recall: 0.7761
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- Overall F1: 0.7474
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- Overall Accuracy: 0.8982
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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: 3
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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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| No log | 1.0 | 114 | 0.2899 | 0.6950 | 0.7473 | 0.7202 | 3198 | 0.6950 | 0.7473 | 0.7202 | 0.8889 |
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| No log | 2.0 | 228 | 0.2792 | 0.7171 | 0.7674 | 0.7414 | 3198 | 0.7171 | 0.7674 | 0.7414 | 0.8969 |
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| No log | 3.0 | 342 | 0.2837 | 0.7207 | 0.7761 | 0.7474 | 3198 | 0.7207 | 0.7761 | 0.7474 | 0.8982 |
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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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