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# 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

{"language": "ga", "license": "apache-2.0", "tags": ["generated_from_trainer", "irish"], "datasets": ["wikiann"], "metrics": ["precision", "recall", "f1", "accuracy"], "widget": [{"text": "Saola\u00edodh P\u00e1draic \u00d3 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"}]}]}]}
transformers pytorch tensorboard safetensors bert token-classification generated_from_trainer irish ga dataset:wikiann base_model:DCU-NLP/bert-base-irish-cased-v1 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #bert #token-classification #generated_from_trainer #irish #ga #dataset-wikiann #base_model-DCU-NLP/bert-base-irish-cased-v1 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

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


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



### Framework versions


* Transformers 4.12.5
* Pytorch 1.10.0+cu111
* Datasets 1.16.1
* Tokenizers 0.10.3



### 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 ### Framework versions


* Transformers 4.12.5
* Pytorch 1.10.0+cu111
* Datasets 1.16.1
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #safetensors #bert #token-classification #generated_from_trainer #irish #ga #dataset-wikiann #base_model-DCU-NLP/bert-base-irish-cased-v1 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.12.5
* Pytorch 1.10.0+cu111
* Datasets 1.16.1
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #safetensors #bert #token-classification #generated_from_trainer #irish #ga #dataset-wikiann #base_model-DCU-NLP/bert-base-irish-cased-v1 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.12.5
* Pytorch 1.10.0+cu111
* Datasets 1.16.1
* Tokenizers 0.10.3