finetuning-sentiment-hausa21

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

• Loss: 0.1444
• Accuracy: 0.9586
• F1: 0.9586

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: 1e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2