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

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# google-fnet-base

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: 0.2442
- F1 Score: 0.9558

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1884        | 1.0   | 3492  | 0.2634          | 0.9354   |
| 0.162         | 2.0   | 6984  | 0.2878          | 0.9371   |
| 0.0795        | 3.0   | 10476 | 0.2442          | 0.9558   |
| 0.0421        | 4.0   | 13968 | 0.2641          | 0.9566   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3