ewc_stabilised_no_date

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ewc_stabilised_no_date

This model is a fine-tuned version of masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1801
• eval_f1: 0.8373
• eval_precision: 0.8346
• eval_recall: 0.8399
• eval_accuracy: 0.9648
• eval_runtime: 74.7153
• eval_samples_per_second: 150.197
• eval_steps_per_second: 18.778
• epoch: 8.9993
• step: 6313

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: 16
• eval_batch_size: 8
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.43.4
• Pytorch 2.4.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1