camembert-ner-finetuned-ner – AI Model by deepaksiloka | AlphaNeural AI

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deepaksiloka/
camembert-ner-finetuned-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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camembert-ner-finetuned-ner

This model is a fine-tuned version of Jean-Baptiste/camembert-ner on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1258
Precision: 0.9791
Recall: 0.9723
F1: 0.9757
Accuracy: 0.9775

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	219	0.1130	0.9569	0.9723	0.9645	0.9687
No log	2.0	438	0.1681	0.9528	0.9769	0.9647	0.9646
0.1656	3.0	657	0.1253	0.9693	0.9827	0.9759	0.9779
0.1656	4.0	876	0.1230	0.9692	0.9804	0.9748	0.9783
0.047	5.0	1095	0.1258	0.9791	0.9723	0.9757	0.9775

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1