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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: google/fnet-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- matthews_correlation |
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model-index: |
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- name: fnet-base-finetuned-cola |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: GLUE COLA |
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type: glue |
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args: cola |
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metrics: |
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- name: Matthews Correlation |
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type: matthews_correlation |
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value: 0.3934207280665654 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# fnet-base-finetuned-cola |
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This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on the GLUE COLA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6476 |
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- Matthews Correlation: 0.3934 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
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| 0.61 | 1.0 | 268 | 0.5818 | 0.1606 | |
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| 0.5265 | 2.0 | 536 | 0.5489 | 0.3415 | |
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| 0.4161 | 3.0 | 804 | 0.5454 | 0.3451 | |
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| 0.3324 | 4.0 | 1072 | 0.5746 | 0.3869 | |
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| 0.2657 | 5.0 | 1340 | 0.6476 | 0.3934 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 1.13.1 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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