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louisdeco/camembert-base-finetuned-LineCause

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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camembert-base-finetuned-LineCause

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

  • —Loss: 0.0001
  • —Accuracy: 1.0
  • —F1: 1.0
  • —Recall: 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: 2e-05
  • —trainbatchsize: 50
  • —evalbatchsize: 50
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracyF1Recall
0.04281.044090.00021.01.01.0
0.00092.088180.00011.01.01.0

Framework versions

  • —Transformers 4.19.3
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.2.2
  • —Tokenizers 0.12.1