FarmerlineML/w2v-bert-2.0_luo_v2

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w2v-bert-2.0luov2

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

• —eval_loss: 0.2904
• —eval_cer: 0.0688
• —eval_wer: 0.3058
• —eval_runtime: 30.6283
• —evalsamplesper_second: 36.861
• —evalstepsper_second: 4.636
• —epoch: 2.1416
• —step: 3600

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: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —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