xlm-roberta-ner-ja-v4 – AI Model by ewfian | AlphaNeural AI

You can deploy this model and start earning money today!

ewfian/
xlm-roberta-ner-ja-v4

like

0

token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-ner-ja-v4

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0615
Precision: 0.9955
Recall: 0.9978
F1-score: 0.9966

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1-score
0.0884	1.0	778	0.0488	0.9820	0.9838	0.9829
0.0403	2.0	1556	0.0460	0.9888	0.9924	0.9906
0.0256	3.0	2334	0.0518	0.9910	0.9928	0.9919
0.0162	4.0	3112	0.0523	0.9951	0.9973	0.9962
0.0087	5.0	3890	0.0615	0.9955	0.9978	0.9966

Framework versions

Transformers 4.36.2
Pytorch 2.0.1+cu118
Datasets 2.16.1
Tokenizers 0.15.0