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README.md

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+---
+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