cs221-bert-base-multilingual-cased-finetuned-amharic-amh-finetuned-20-epochs

This model is a fine-tuned version of Davlan/bert-base-multilingual-cased-finetuned-amharic on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5148
• F1: 0.635
• Roc Auc: 0.7597
• Accuracy: 0.3776

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
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 20

Training results

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0