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bobbyw/deberta-v3-large_faster_learning

sourceHugging Facemitupdated 2y agoView on Hugging Face
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deberta-v3-largefasterlearning

This model is a fine-tuned version of bobbyw/deberta-v3-large_faster_learning on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0945
  • —Accuracy: 0.0218
  • —F1: 0.0427
  • —Precision: 0.0218
  • —Recall: 1.0
  • —Learning Rate: 0.0

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-07
  • —trainbatchsize: 3
  • —evalbatchsize: 3
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecallRate
0.12951.06890.09710.02180.04270.02181.00.0001
0.12872.013780.09450.02180.04270.02181.00.0

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.2
  • —Tokenizers 0.19.1