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--- |
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license: apache-2.0 |
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language: ga |
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tags: |
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- generated_from_trainer |
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- irish |
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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: BERTreach-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: 0.5200517464424321 |
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- name: Recall |
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type: recall |
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value: 0.5667293233082706 |
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- name: F1 |
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type: f1 |
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value: 0.5423881268270744 |
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- name: Accuracy |
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type: accuracy |
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value: 0.8365605828220859 |
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widget: |
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- text: "Saolaíodh Pádraic Ó Conaire i nGaillimh sa bhliain 1882." |
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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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# BERTreach-finetuned-ner |
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This model is a fine-tuned version of [jimregan/BERTreach](https://huggingface.co/jimregan/BERTreach) on the wikiann dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4944 |
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- Precision: 0.5201 |
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- Recall: 0.5667 |
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- F1: 0.5424 |
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- Accuracy: 0.8366 |
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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: 5 |
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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 | 0.7249 | 0.3645 | 0.3905 | 0.3770 | 0.7584 | |
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| No log | 2.0 | 126 | 0.5850 | 0.4529 | 0.4948 | 0.4729 | 0.8072 | |
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| No log | 3.0 | 189 | 0.5192 | 0.4949 | 0.5456 | 0.5190 | 0.8288 | |
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| No log | 4.0 | 252 | 0.5042 | 0.5208 | 0.5592 | 0.5393 | 0.8348 | |
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| No log | 5.0 | 315 | 0.4944 | 0.5201 | 0.5667 | 0.5424 | 0.8366 | |
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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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