Lareb00/xlm-roberta-checkpoints

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xlm-roberta-checkpoints

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6431
• —Accuracy: 0.7281
• —F1: 0.7264

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
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.0.2
• —Tokenizers 0.19.1