metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
base_model: google/fnet-large
model-index:
  - name: fnet-large-finetuned-stsb
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: GLUE STSB
          type: glue
          args: stsb
        metrics:
          - type: spearmanr
            value: 0.8532669137129205
            name: Spearmanr

fnet-large-finetuned-stsb

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

Loss: 0.6250
Pearson: 0.8554
Spearmanr: 0.8533
Combined Score: 0.8543

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: 4
eval_batch_size: 8
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	Pearson	Spearmanr	Combined Score
1.0727	1.0	1438	0.7718	0.8187	0.8240	0.8214
0.4619	2.0	2876	0.7704	0.8472	0.8500	0.8486
0.2401	3.0	4314	0.6250	0.8554	0.8533	0.8543

Framework versions

Transformers 4.11.0.dev0
Pytorch 1.9.0
Datasets 1.12.1
Tokenizers 0.10.3