update model card README.md

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- spearmanr
+model-index:
+- name: fnet-base-finetuned-stsb
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE STSB
+      type: glue
+      args: stsb
+    metrics:
+    - name: Spearmanr
+      type: spearmanr
+      value: 0.8219397497728022
+---
+
+<!-- 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. -->
+
+# fnet-base-finetuned-stsb
+
+This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on the GLUE STSB dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7894
+- Pearson: 0.8256
+- Spearmanr: 0.8219
+- Combined Score: 0.8238
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Combined Score | Validation Loss | Pearson | Spearmanr |
+|:-------------:|:-----:|:----:|:--------------:|:---------------:|:-------:|:---------:|
+| 1.5473        | 1.0   | 360  | 0.8120         | 0.7751          | 0.8115  | 0.8125    |
+| 0.6954        | 2.0   | 720  | 0.8145         | 0.8717          | 0.8160  | 0.8130    |
+| 0.4828        | 3.0   | 1080 | 0.8238         | 0.7894          | 0.8256  | 0.8219    |
+
+
+### Framework versions
+
+- Transformers 4.11.0.dev0
+- Pytorch 1.9.0
+- Datasets 1.12.1
+- Tokenizers 0.10.3