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raulgdp/Analisis-sentimientos-xml-roberta-2

sourceHugging Faceupdated 2y agoView on Hugging Face
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Analisis-sentimientos-xml-roberta-2

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4219
  • —Rmse: 0.4262

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: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossRmse
0.22871.06420.27550.5435
0.16022.012840.24800.5064
0.11183.019260.35810.4811
0.07564.025680.25880.4545
0.05235.032100.31720.4370
0.04276.038520.34300.4388
0.03527.044940.38160.4243
0.03148.051360.37760.4206
0.02929.057780.41680.4266
0.027210.064200.42190.4262

Framework versions

  • —Transformers 4.40.0
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1