metadata
license: apache-2.0
base_model: google/fnet-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FNet_Classification
results: []
FNet_Classification
This model is a fine-tuned version of 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