xlm-roberta-base-finetuned-kinyarwanda-kin-sent2

This model is a fine-tuned version of Davlan/xlm-roberta-base-finetuned-kinyarwanda on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9251
• F1: 0.6199

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: 4
• eval_batch_size: 4
• seed: 1000000
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.9965	1.0	1013	0.8027	0.6498
0.8495	2.0	2026	0.7292	0.7007
0.7955	3.0	3039	0.7012	0.7212

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1