ghananlpcommunity/w2v-bert-2.0_swahili_alpha_farmerline

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w2v-bert-2.0swahilialpha

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.1048
• —eval_cer: 0.0237
• —eval_wer: 0.1083
• —eval_runtime: 174.2236
• —evalsamplesper_second: 28.567
• —evalstepsper_second: 3.576
• —epoch: 2.1958
• —step: 2400

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: 0.0001
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 800
• —num_epochs: 16
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.6.0+cu124
• —Datasets 2.14.4
• —Tokenizers 0.21.1