xlm-roberta-base-Confusion-mlm-20230607 – AI Model by soBeauty | AlphaNeural AI

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xlm-roberta-base-Confusion-mlm-20230607

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xlm-roberta-base-Confusion-mlm-20230607

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: 0.8736
Loss: 0.5270

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
No log	1.0	130	0.8677	0.6115
No log	2.0	260	0.9247	0.2752
No log	3.0	390	0.8571	0.6575
0.8615	4.0	520	0.8643	0.5735
0.8615	5.0	650	0.8911	0.3851
0.8615	6.0	780	0.8134	0.7165
0.8615	7.0	910	0.8413	0.6240
0.8129	8.0	1040	0.8861	0.4053
0.8129	9.0	1170	0.8606	0.5256
0.8129	10.0	1300	0.8776	0.5630
0.8129	11.0	1430	0.8784	0.5410
0.7179	12.0	1560	0.8807	0.5745
0.7179	13.0	1690	0.8889	0.4201
0.7179	14.0	1820	0.8785	0.4649
0.7179	15.0	1950	0.8859	0.4714
0.6857	16.0	2080	0.8453	0.5769
0.6857	17.0	2210	0.8407	0.5363
0.6857	18.0	2340	0.8724	0.5814
0.6857	19.0	2470	0.9098	0.3953
0.6107	20.0	2600	0.8736	0.5270

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3