reberta – AI Model by achDev | AlphaNeural AI

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achDev/
reberta

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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reberta

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

Loss: 0.3429
Accuracy: 0.9408

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2089	1.0	1250	0.1942	0.9408
0.1623	2.0	2500	0.1801	0.9428
0.1364	3.0	3750	0.1934	0.9466
0.1051	4.0	5000	0.2134	0.9456
0.0737	5.0	6250	0.2472	0.9446
0.062	6.0	7500	0.2751	0.944
0.0441	7.0	8750	0.2992	0.9422
0.0342	8.0	10000	0.3116	0.9432
0.026	9.0	11250	0.3360	0.943
0.0179	10.0	12500	0.3429	0.9408

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2