xlm-roberta-base – AI Model by MatteoFasulo | AlphaNeural AI

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MatteoFasulo/
xlm-roberta-base

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text-classification

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FacebookAI/xlm-roberta-base

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xlm-roberta-base_42

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: 0.3930
F1-score: 0.8657
Accuracy: 0.8657
Precision: 0.8658
Recall: 0.8659

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score	Accuracy	Precision	Recall
No log	1.0	379	0.4004	0.8284	0.8287	0.8299	0.8282
0.5426	2.0	758	0.3531	0.8502	0.8503	0.8508	0.8500
0.4202	3.0	1137	0.3569	0.8564	0.8565	0.8566	0.8563
0.3646	4.0	1516	0.3520	0.8688	0.8688	0.8689	0.8687
0.3646	5.0	1895	0.4078	0.8564	0.8565	0.8577	0.8569
0.3229	6.0	2274	0.3930	0.8657	0.8657	0.8658	0.8659

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0