electra-base-irish-cased-discriminator-v1-finetuned-ner
This model is a fine-tuned version of DCU-NLP/electra-base-irish-cased-generator-v1 on the wikiann dataset. It achieves the following results on the evaluation set:
- Loss: 0.6654
- Precision: 0.5414
- Recall: 0.5161
- F1: 0.5285
- Accuracy: 0.8420
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 63 | 1.3231 | 0.1046 | 0.0417 | 0.0596 | 0.5449 |
| No log | 2.0 | 126 | 0.9710 | 0.3879 | 0.3359 | 0.3600 | 0.7486 |
| No log | 3.0 | 189 | 0.7723 | 0.4713 | 0.4457 | 0.4582 | 0.8152 |
| No log | 4.0 | 252 | 0.6892 | 0.5257 | 0.4910 | 0.5078 | 0.8347 |
| No log | 5.0 | 315 | 0.6654 | 0.5414 | 0.5161 | 0.5285 | 0.8420 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
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Dataset used to train jimregan/electra-base-irish-cased-discriminator-v1-finetuned-ner
Evaluation results
- Precision on wikiannself-reported0.541
- Recall on wikiannself-reported0.516
- F1 on wikiannself-reported0.528
- Accuracy on wikiannself-reported0.842