README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: my_awesome_model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: glue
          type: glue
          config: wnli
          split: train[:635]
          args: wnli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.4528301886792453

my_awesome_model

This model is a fine-tuned version of gchhablani/fnet-base-finetuned-wnli on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.7032
• Accuracy: 0.4528

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
No log	1.0	20	0.7039	0.4623
No log	2.0	40	0.7032	0.4528

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3