CoolFace
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adriansanz/test5_balanced_60ep

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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test5balanced60ep

This model is a fine-tuned version of ibaucells/RoBERTa-ca-CaWikiTC on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8209

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: 10
  • evalbatchsize: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • num_epochs: 60

Training results

Training LossEpochStepValidation Loss
2.82991.0632.8361
2.85122.01262.8253
2.81183.01892.8376
2.72384.02522.7157
2.59145.03152.6045
2.55276.03782.5580
2.41977.04412.6009
2.25618.05042.3989
1.92139.05672.2129
1.814710.06302.1155
1.433611.06932.0509
1.294812.07561.8276
0.983313.08191.8245
0.857714.08821.7360
0.66515.09451.8072
0.539716.010081.8583
0.286117.010711.9073
0.339418.011342.0320
0.294119.011972.1608
0.186820.012602.1440
0.17521.013232.2099
0.335722.013862.3903
0.131123.014492.4006
0.10324.015122.4874
0.132325.015752.5191
0.092826.016382.3582
0.087227.017012.4494
0.127128.017642.5821
0.179629.018272.6190
0.047930.018902.5549
0.019731.019532.8739
0.022232.020162.7927
0.01933.020792.8467
0.094634.021422.9086
0.008435.022052.7976
0.053936.022682.8300
0.055337.023312.9293
0.012438.023943.0047
0.044739.024572.9724
0.036340.025202.9775
0.005641.025832.9972
0.007242.026463.0162
0.009143.027093.0348
0.03144.027723.0490
0.009145.028353.0648
0.02946.028983.0730
0.007647.029613.0866
0.011548.030243.0979
0.004749.030873.1102
0.007950.031503.1242
0.003951.032133.1299
0.004352.032763.1386
0.032253.033393.1478
0.004154.034023.1478
0.028955.034653.1570
0.003856.035283.1661
0.00457.035913.1546
0.003758.036543.1575
0.006959.037173.1587
0.013560.037803.1626

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2