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google-fnet-base

This model is a fine-tuned version of google/fnet-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4187
  • Accuracy: 0.3201

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • 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 Accuracy
1.3578 1.0 2857 1.3571 0.3182
1.3025 2.0 5714 1.3674 0.3227
1.2192 3.0 8571 1.4187 0.3201

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.0
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