fnet-base-finetuned-cola
This model is a fine-tuned version of google/fnet-base on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6476
- Matthews Correlation: 0.3934
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.61 | 1.0 | 268 | 0.5818 | 0.1606 |
| 0.5265 | 2.0 | 536 | 0.5489 | 0.3415 |
| 0.4161 | 3.0 | 804 | 0.5454 | 0.3451 |
| 0.3324 | 4.0 | 1072 | 0.5746 | 0.3869 |
| 0.2657 | 5.0 | 1340 | 0.6476 | 0.3934 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 1.13.1
- Datasets 2.19.1
- Tokenizers 0.19.1
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