CoolFace
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Dorost/resume

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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resume

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

  • —Loss: 0.0166
  • —F1: 1.0

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

Training results

Training LossEpochStepValidation LossF1
3.04481.0492.72450.1290
2.22762.0981.71650.4683
1.1163.01470.87200.8333
0.56064.01960.36861.0
0.23745.02450.14311.0
0.10846.02940.06121.0
0.05987.03430.03281.0
0.03868.03920.02161.0
0.02769.04410.01751.0
0.027110.04900.01661.0

Framework versions

  • —Transformers 4.30.0.dev0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3