mmillet/xlm-roberta-base_single_finetuned_on_cedr_augmented

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xlm-roberta-basesinglefinetunedoncedr_augmented

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: 0.4650
• —Accuracy: 0.8820
• —F1: 0.8814
• —Precision: 0.8871
• —Recall: 0.8820

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: 0.0001
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
• —lrschedulertype: linear
• —num_epochs: 20

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.11.0+cu113
• —Datasets 2.3.2
• —Tokenizers 0.12.1