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# Article_50v4_NER_Model_3Epochs_UNAUGMENTED

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the article50v4_wikigold_split dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7543
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7775

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 6    | 0.9689          | 0.0949    | 0.0036 | 0.0070 | 0.7766   |
| No log        | 2.0   | 12   | 0.7856          | 0.0       | 0.0    | 0.0    | 0.7775   |
| No log        | 3.0   | 18   | 0.7543          | 0.0       | 0.0    | 0.0    | 0.7775   |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.11.6

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["article50v4_wikigold_split"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "Article_50v4_NER_Model_3Epochs_UNAUGMENTED", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "article50v4_wikigold_split", "type": "article50v4_wikigold_split", "args": "default"}, "metrics": [{"type": "precision", "value": 0.0, "name": "Precision"}, {"type": "recall", "value": 0.0, "name": "Recall"}, {"type": "f1", "value": 0.0, "name": "F1"}, {"type": "accuracy", "value": 0.7775440794773114, "name": "Accuracy"}]}]}]}
transformers pytorch tensorboard bert token-classification generated_from_trainer dataset:article50v4_wikigold_split license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-article50v4_wikigold_split #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

Article\_50v4\_NER\_Model\_3Epochs\_UNAUGMENTED
===============================================


This model is a fine-tuned version of bert-base-cased on the article50v4\_wikigold\_split dataset.
It achieves the following results on the evaluation set:


* Loss: 0.7543
* Precision: 0.0
* Recall: 0.0
* F1: 0.0
* Accuracy: 0.7775


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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3


### Training results



### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 2.4.0
* Tokenizers 0.11.6



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 2.4.0
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-article50v4_wikigold_split #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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 2.4.0
* Tokenizers 0.11.6
passage: TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-article50v4_wikigold_split #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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3### Training results### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 2.4.0
* Tokenizers 0.11.6