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onto-coref-mem-base

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1241

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: 3

Training results

Training Loss Epoch Step Validation Loss
0.1063 1.0 16701 0.1228
0.0909 2.0 33402 0.1231
0.0897 3.0 50103 0.1241

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.17.0
  • Tokenizers 0.19.1
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