metadata

language:
  - en
license: apache-2.0
base_model: google/fnet-base
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: fnet-base-finetuned-cola
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE COLA
          type: glue
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.3262988329908328

fnet-base-finetuned-cola

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

Loss: 0.5648
Matthews Correlation: 0.3263

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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.6101	1.0	268	0.6032	0.1346
0.5325	2.0	536	0.5451	0.3135
0.428	3.0	804	0.5648	0.3263

Framework versions

Transformers 4.42.0.dev0
Pytorch 1.13.1
Datasets 2.19.1
Tokenizers 0.19.1