14kwonss/afrolid_mega

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afrolid_mega

This model is a fine-tuned version of UBC-NLP/serengeti on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0886
• —F1: 0.9755

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
• —trainbatchsize: 512
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8192
• —totalevalbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 25.0

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.11.0
• —Datasets 3.6.0
• —Tokenizers 0.22.2