xlm-roberta-base-finetuned-marc-en – AI Model by Fancorparation | AlphaNeural AI

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Fancorparation/
xlm-roberta-base-finetuned-marc-en

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-finetuned-marc-en

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

Loss: 0.0333
Mae: 0.0062

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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Mae
0.3744	1.0	2332	0.3325	0.1118
0.3577	2.0	4664	0.3243	0.0956
0.2944	3.0	6996	0.2496	0.0611
0.3084	4.0	9328	0.1582	0.0410
0.2318	5.0	11660	0.1304	0.0284
0.176	6.0	13992	0.0903	0.0185
0.1364	7.0	16324	0.0798	0.0165
0.1207	8.0	18656	0.0634	0.0128
0.1304	9.0	20988	0.0473	0.0096
0.1141	10.0	23320	0.0395	0.0086
0.0769	11.0	25652	0.0347	0.0069
0.046	12.0	27984	0.0333	0.0062

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1