NiGuLa/jhu-clsp_mmBERT-small_ep10_lr1e-06_batchpergpu16_gpu1

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

jhu-clspmmBERT-smallep10lr1e-06batchpergpu16_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: 0.1802
• —F1 Micro: 0.6045
• —F1 Macro: 0.1689
• —Exact Match: 0.6402

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: 1e-06
• —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