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jakub014/ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-effectiveness-redditCMV

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-effectiveness-redditCMV

This model is a fine-tuned version of ibm/ColD-Fusion-bert-base-uncased-itr23-seed0 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6348
  • —Accuracy: 0.6482

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: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.68541.05160.63480.6482
0.59472.010320.63500.6429
0.40843.015480.83760.6133
0.23214.020641.22530.6337
0.12565.025801.60450.6332

Framework versions

  • —Transformers 4.27.3
  • —Pytorch 1.13.1+cu116
  • —Datasets 2.10.1
  • —Tokenizers 0.13.2