FarmerlineML/w2v-bert-2.0_ewe_2

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w2v-bert-2.0ewe2

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

• —eval_loss: 0.3372
• —eval_cer: 0.0692
• —eval_wer: 0.2329
• —eval_runtime: 88.7698
• —evalsamplesper_second: 8.325
• —evalstepsper_second: 1.048
• —epoch: 7.8850
• —step: 1600

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: 5e-05
• —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: 400
• —num_epochs: 24
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.52.3
• —Pytorch 2.6.0+cu124
• —Datasets 2.14.4
• —Tokenizers 0.21.1