NiGuLa/jhu-clsp_mmBERT-small_ep10_lr0.0001_batchpergpu16_gpu1

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jhu-clspmmBERT-smallep10lr0.0001batchpergpu16_gpu1

This model is a fine-tuned version of jhu-clsp/mmBERT-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2421
• —F1 Micro: 0.6356
• —F1 Macro: 0.3475
• —Exact Match: 0.6383

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: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 5.6.2
• —Pytorch 2.11.0+cu130
• —Datasets 4.8.4
• —Tokenizers 0.22.2