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bobbyw/deberta-v3-large_v3_mentioned_common_entities

sourceHugging Facemitupdated 2y agoView on Hugging Face
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deberta-v3-largev3mentionedcommonentities

This model is a fine-tuned version of bobbyw/deberta-v3-large_v3_mentioned_common_entities on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1014
  • 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-06
  • 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
0.15231.06890.10390.02180.04270.02181.00.001
0.14042.013780.10140.02180.04270.02181.00.0

Framework versions

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