update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: GPT2-CLS-Finetuned-MBTI
+  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. -->
+
+# GPT2-CLS-Finetuned-MBTI
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9571
+- Cls loss: 1.9559
+- Cls Accuracy: 0.6052
+- Cls F1: 0.5956
+- Cls Precision: 0.6180
+- Cls Recall: 0.6052
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Cls loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:------------:|:------:|:-------------:|:----------:|:---------------:|
+| 2.0239        | 1.0   | 3470  | 1.7000   | 0.5262       | 0.4961 | 0.5438        | 0.5262     | 1.6998          |
+| 1.5182        | 2.0   | 6940  | 1.8171   | 0.5873       | 0.5764 | 0.5971        | 0.5873     | 1.8181          |
+| 1.3241        | 3.0   | 10410 | 1.9559   | 0.6052       | 0.5956 | 0.6180        | 0.6052     | 1.9571          |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1
+- Datasets 2.4.0
+- Tokenizers 0.12.1