xlm-roberta-base-Confusion-mlm-20230603 – AI Model by soBeauty | AlphaNeural AI

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xlm-roberta-base-Confusion-mlm-20230603

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xlm-roberta-base-Confusion-mlm-20230603

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

Accuracy: 0.8799
Loss: 0.4204

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: 20

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.6139	1.0	130	0.9435	0.2902
0.6053	2.0	260	0.925	0.3066
0.6449	3.0	390	0.8884	0.4615
0.694	4.0	520	0.9058	0.3164
0.6768	5.0	650	0.9173	0.3421
0.6429	6.0	780	0.8968	0.3863
0.5945	7.0	910	0.8920	0.4843
0.632	8.0	1040	0.8984	0.3297
0.6015	9.0	1170	0.9219	0.3380
0.5431	10.0	1300	0.8967	0.4618
0.4813	11.0	1430	0.8885	0.4543
0.5598	12.0	1560	0.8885	0.4255
0.557	13.0	1690	0.8861	0.4283
0.4345	14.0	1820	0.8777	0.4792
0.5099	15.0	1950	0.9402	0.2961
0.5013	16.0	2080	0.8755	0.5784
0.5079	17.0	2210	0.9288	0.3294
0.557	18.0	2340	0.9167	0.3471
0.4574	19.0	2470	0.8969	0.4371
0.3938	20.0	2600	0.8799	0.4204

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3