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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- wikiann |
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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-base-irish-cased-v1-finetuned-ner |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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name: wikiann |
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type: wikiann |
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args: ga |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.7251742160278746 |
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- name: Recall |
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type: recall |
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value: 0.7466367713004485 |
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- name: F1 |
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type: f1 |
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value: 0.7357490057445868 |
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- name: Accuracy |
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type: accuracy |
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value: 0.9017547152106596 |
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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-base-irish-cased-v1-finetuned-ner |
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This model is a fine-tuned version of [DCU-NLP/bert-base-irish-cased-v1](https://huggingface.co/DCU-NLP/bert-base-irish-cased-v1) on the wikiann dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3031 |
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- Precision: 0.7252 |
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- Recall: 0.7466 |
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- F1: 0.7357 |
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- Accuracy: 0.9018 |
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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: 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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| No log | 1.0 | 63 | 0.5235 | 0.5493 | 0.5170 | 0.5327 | 0.8367 | |
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| No log | 2.0 | 126 | 0.3459 | 0.6880 | 0.6892 | 0.6886 | 0.8877 | |
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| No log | 3.0 | 189 | 0.3031 | 0.7252 | 0.7466 | 0.7357 | 0.9018 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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