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YuvrajSingh9886/roberta-base-Frank-Lampard

sourceHugging Facemitupdated 9d agoView on Hugging Face
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roberta-base-Frank-Lampard

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

  • —Loss: 1.1977

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: 0.0002
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —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: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.47540.0394102.2326
1.37170.0787201.2141
1.1650.1181301.2507
1.24290.1575401.2046
1.20380.1969501.2035
1.20530.2362601.2013
1.19510.2756701.1985
1.12260.3150801.2143
1.23950.3543901.1932
1.270.39371001.2547
1.19920.43311101.2369
1.33180.47241201.2183
1.22770.51181301.2115
1.18720.55121401.1910
1.16490.59061501.2177
1.23120.62991601.2130
1.19010.66931701.2004
1.13540.70871801.2158
1.3210.74801901.2036
1.16440.78742001.2144
1.27480.82682101.2105
1.23240.86612201.2071
1.16940.90552301.2149
1.17550.94492401.2259
1.2640.98432501.1894
1.22521.02362601.2221
1.17911.06302701.2122
1.20841.10242801.1915
1.24491.14172901.2095
1.21021.18113001.1933
1.18751.22053101.1996
1.17961.25983201.1974
1.19181.29923301.1925
1.16151.33863401.1971
1.20051.37803501.2031
1.17661.41733601.1941
1.18541.45673701.1920
1.17961.49613801.1915
1.13271.53543901.2100
1.17811.57484001.2250
1.19051.61424101.2067
1.14371.65354201.1986
1.20341.69294301.1942
1.19861.73234401.1933
1.1331.77174501.1971
1.28571.81104601.1951
1.23011.85044701.1929
1.18721.88984801.1941
1.21221.92914901.1958
1.17111.96855001.1973

Framework versions

  • —Transformers 4.48.3
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.3.2
  • —Tokenizers 0.21.0

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