modernbert-small-amharic-50k-1024

This model is a fine-tuned version of yosefw/modernbert-small-amharic-50k on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.6603
• eval_model_preparation_time: 0.002
• eval_runtime: 10.1114
• eval_samples_per_second: 220.345
• eval_steps_per_second: 6.923
• epoch: 3.0493
• step: 22004

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 OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 1000
• num_epochs: 4
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1