camembert-keyword-extractor – AI Model by yanekyuk | AlphaNeural AI

You can deploy this model and start earning money today!

yanekyuk/
camembert-keyword-extractor

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

camembert-keyword-extractor

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

Loss: 0.2199
Precision: 0.6743
Recall: 0.6979
Accuracy: 0.9346
F1: 0.6859

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: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Accuracy	F1
0.1747	1.0	1875	0.1780	0.5935	0.7116	0.9258	0.6472
0.1375	2.0	3750	0.1588	0.6505	0.7032	0.9334	0.6759
0.1147	3.0	5625	0.1727	0.6825	0.6689	0.9355	0.6756
0.0969	4.0	7500	0.1759	0.6886	0.6621	0.9350	0.6751
0.0837	5.0	9375	0.1967	0.6688	0.7112	0.9348	0.6893
0.0746	6.0	11250	0.2088	0.6646	0.7114	0.9334	0.6872
0.0666	7.0	13125	0.2169	0.6713	0.7054	0.9347	0.6879
0.0634	8.0	15000	0.2199	0.6743	0.6979	0.9346	0.6859

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1