csikasote/mms-1b-all-bemgen-combined-train-drodat-gdro-1.65e-4-dat-0.019-no-sd-0.00-62

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mms-1b-all-bemgen-combined-train-drodat-gdro-1.65e-4-dat-0.019-no-sd-0.00-62

This model is a fine-tuned version of facebook/mms-1b-all on the BEMGEN - BEM dataset. It achieves the following results on the evaluation set:

• —Loss: 12.3468
• —Cer: 0.0532

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: 0.0003
• —trainbatchsize: 4
• —evalbatchsize: 4
• —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: 500
• —num_epochs: 30.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.53.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.5.0
• —Tokenizers 0.21.4