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sivakarri/roberta_nba_v2

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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robertanbav2

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8231

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: 5e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • num_epochs: 10

Training results

Training LossEpochStepValidation Loss
0.48381.01930.5098
0.43392.03860.5224
0.36393.05790.5431
0.41894.07720.4780
0.37295.09650.6443
0.15096.011580.6412
0.09237.013510.7526
0.02568.015440.7852
0.14479.017370.8347
0.001110.019300.8231

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1