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masakhane-pos

This model is a fine-tuned version of Davlan/afro-xlmr-large-75L on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8238
• eval_accuracy: 0.7701
• eval_runtime: 63.3285
• eval_samples_per_second: 48.241
• eval_steps_per_second: 1.516
• epoch: 3.03
• step: 2312

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-06
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 30

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3