update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: google/electra-small-generator
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: google-electra-small-generator
+  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-electra-small-generator
+
+This model is a fine-tuned version of [google/electra-small-generator](https://huggingface.co/google/electra-small-generator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1473
+- Accuracy: 0.9565
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3362        | 1.0   | 873  | 0.1886          | 0.9464   |
+| 0.1753        | 2.0   | 1746 | 0.1779          | 0.9516   |
+| 0.1268        | 3.0   | 2619 | 0.1473          | 0.9565   |
+| 0.0967        | 4.0   | 3492 | 0.1506          | 0.9676   |
+| 0.0741        | 5.0   | 4365 | 0.1493          | 0.9708   |
+| 0.0497        | 6.0   | 5238 | 0.1835          | 0.9659   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3