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olm-bert-tiny-december-2022-target-glue-rte

This model is a fine-tuned version of muhtasham/olm-bert-tiny-december-2022 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3103
  • Accuracy: 0.5235

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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6883 6.41 500 0.6919 0.5523
0.5979 12.82 1000 0.8002 0.5271
0.4213 19.23 1500 1.0720 0.5090
0.2839 25.64 2000 1.3103 0.5235

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.1.dev0
  • Tokenizers 0.13.2
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