This model is a fine-tuned version of 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

jimregan/bert-base-irish-cased-v1-finetuned-ner

bert-base-irish-cased-v1-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jimregan/
bert-base-irish-cased-v1-finetuned-ner