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ner-mem-base-2

This model is a fine-tuned version of eddieman78/ner-mem-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0018

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
0.0013 1.0 14981 0.0018
0.0011 2.0 29962 0.0019
0.0013 3.0 44943 0.0019
0.0016 4.0 59924 0.0018

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.17.0
  • Tokenizers 0.15.2
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