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