File size: 1,514 Bytes
6dc85f3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
license: apache-2.0
base_model: google/fnet-base
tags:
- generated_from_trainer
model-index:
- name: google-fnet-base
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. -->
# 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
|