---
license: apache-2.0
base_model: google/fnet-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FNet_Classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# FNet_Classification

This model is a fine-tuned version of [google/fnet-base](https://huggingface.co./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