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mhr2004/roberta-base-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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roberta-base-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64

This model is a fine-tuned version of mhr2004/roberta-base-nsp-1000000-1e-06-32 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4028

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: 256
  • —evalbatchsize: 1024
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 30

Training results

Training LossEpochStepValidation Loss
0.58121.07950.5384
0.52732.015900.5009
0.50513.023850.4822
0.48654.031800.4731
0.47235.039750.4582
0.46166.047700.4602
0.45267.055650.4426
0.448.063600.4402
0.43299.071550.4316
0.428810.079500.4282
0.417411.087450.4234
0.413412.095400.4205
0.410113.0103350.4203
0.407614.0111300.4152
0.402815.0119250.4094
0.396316.0127200.4103
0.39317.0135150.4088
0.389918.0143100.4120
0.389719.0151050.4050
0.384220.0159000.4051
0.383921.0166950.4050
0.379122.0174900.4015
0.380123.0182850.4035
0.380724.0190800.4016
0.373825.0198750.4028

Framework versions

  • —Transformers 4.48.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0