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ranjankn/gpad-v2-full-taskB-smpl

sourceHugging Faceupdated 11mo agoView on Hugging Face
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gpad-v2-full-taskB-smpl

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7077
  • Accuracy: 0.515
  • F1 Macro: 0.0618
  • F1 Weighted: 0.3501
  • Precision Macro: 0.0468
  • Recall Macro: 0.0909

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: 2e-05
  • trainbatchsize: 16
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_ratio: 0.1
  • num_epochs: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1 MacroF1 WeightedPrecision MacroRecall Macro
No log1.0131.88660.5150.06180.35010.04680.0909
No log2.0261.74140.5150.06180.35010.04680.0909
No log3.0391.70770.5150.06180.35010.04680.0909

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.9.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.15.2