metadata

license: apache-2.0
language: ga
tags:
  - generated_from_trainer
  - irish
datasets:
  - wikiann
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: electra-base-irish-cased-discriminator-v1-finetuned-ner
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: wikiann
          type: wikiann
          args: ga
        metrics:
          - name: Precision
            type: precision
            value: 0.5413922859830668
          - name: Recall
            type: recall
            value: 0.5161434977578475
          - name: F1
            type: f1
            value: 0.5284664830119375
          - name: Accuracy
            type: accuracy
            value: 0.8419817960026273
widget:
  - text: Saolaíodh Pádraic Ó Conaire i nGaillimh sa bhliain 1882.

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