google-fnet-base
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: 0.2442
- 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
- Downloads last month
- 94
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Mahmoud8/google-fnet-base
Base model
google/fnet-base