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abischoff/test-trainer

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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test-trainer

This model is a fine-tuned version of xlm-roberta-base on the generator dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0057
  • —Mse: 0.1064

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: 1
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossMse
0.00411.0257200.00530.1029
0.00332.0514400.00610.1105
0.00423.0771600.00610.1106
0.00374.01028800.00550.1044
0.00375.01286000.00570.1064

Framework versions

  • —Transformers 4.45.2
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.20.3