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pppereira3/roberta-peft-rating

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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roberta-peft-rating

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

  • —Loss: 0.9893
  • —Accuracy: 0.5555
  • —Mse: 0.6434

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: 2e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracyMse
No log1.04251.33470.36311.1621
1.39482.08501.18840.46171.0093
1.25863.012751.06020.51530.6819
1.07524.017001.02360.53010.7255
1.0285.021251.00170.54280.6455
1.01836.025500.99740.55270.6541
1.01837.029750.99560.55140.6307
1.00768.034000.99250.55270.6510
0.99749.038250.99140.55890.6427
0.986310.042500.98930.55550.6434

Framework versions

  • —PEFT 0.13.2
  • —Transformers 4.44.2
  • —Pytorch 2.5.0+cu121
  • —Datasets 3.1.0
  • —Tokenizers 0.19.1