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fathyshalab/all-roberta-large-v1-utility-2-16-5

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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all-roberta-large-v1-utility-2-16-5

This model is a fine-tuned version of sentence-transformers/all-roberta-large-v1 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.3728
  • —Accuracy: 0.3956

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: 48
  • —evalbatchsize: 48
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
2.81941.012.60270.3156
2.23372.022.50790.3778
1.79963.032.42930.3822
1.45914.042.37280.3956
1.32055.052.34390.3956

Framework versions

  • —Transformers 4.20.0
  • —Pytorch 1.11.0+cu102
  • —Datasets 2.3.2
  • —Tokenizers 0.12.1