BERTreach-finetuned-ner – AI Model by jimregan | AlphaNeural AI | AlphaNeural AI

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jimregan/
BERTreach-finetuned-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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BERTreach-finetuned-ner

This model is a fine-tuned version of jimregan/BERTreach on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.4944
Precision: 0.5201
Recall: 0.5667
F1: 0.5424
Accuracy: 0.8366

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	0.7249	0.3645	0.3905	0.3770	0.7584
No log	2.0	126	0.5850	0.4529	0.4948	0.4729	0.8072
No log	3.0	189	0.5192	0.4949	0.5456	0.5190	0.8288
No log	4.0	252	0.5042	0.5208	0.5592	0.5393	0.8348
No log	5.0	315	0.4944	0.5201	0.5667	0.5424	0.8366

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3