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FNet_Classification

Text Classification
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PyTorch
fnet
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FNet_Classification / README.md
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metadata
license: apache-2.0
base_model: google/fnet-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: FNet_Classification
    results: []

FNet_Classification

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

  • Loss: 0.3889
  • Accuracy: 0.813

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5529 1.0 625 0.4144 0.804
0.4314 2.0 1250 0.3889 0.813

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.2.1+cpu
  • Datasets 2.12.0
  • Tokenizers 0.13.2