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---
language: ga
license: apache-2.0
tags:
- generated_from_trainer
- irish
datasets:
- wikiann
metrics:
- precision
- recall
- f1
- accuracy
widget:
- text: Saolaíodh Pádraic Ó Conaire i nGaillimh sa bhliain 1882.
base_model: DCU-NLP/bert-base-irish-cased-v1
model-index:
- name: bert-base-irish-cased-v1-finetuned-ner
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: wikiann
type: wikiann
args: ga
metrics:
- type: precision
value: 0.8190601668862538
name: Precision
- type: recall
value: 0.8363228699551569
name: Recall
- type: f1
value: 0.8276015087641446
name: F1
- type: accuracy
value: 0.9306559069156423
name: Accuracy
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-irish-cased-v1-finetuned-ner
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.
It achieves the following results on the evaluation set:
- Loss: 0.2468
- Precision: 0.8191
- Recall: 0.8363
- F1: 0.8276
- Accuracy: 0.9307
## 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 | 0.4902 | 0.5579 | 0.5269 | 0.5420 | 0.8458 |
| No log | 2.0 | 126 | 0.3227 | 0.7169 | 0.7417 | 0.7291 | 0.8991 |
| No log | 3.0 | 189 | 0.2720 | 0.7895 | 0.7839 | 0.7867 | 0.9186 |
| No log | 4.0 | 252 | 0.2585 | 0.8128 | 0.8296 | 0.8211 | 0.9264 |
| No log | 5.0 | 315 | 0.2468 | 0.8191 | 0.8363 | 0.8276 | 0.9307 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|