update model card README.md

README.md

@@ -11,7 +11,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 # GPT2-CLS-Finetuned-MBTI-GPT2-CLS-Finetuned-MBTI-JointGPT2-Warmup-from-CLS
 
-This model is a fine-tuned version of [GItaf/GPT2-CLS-Finetuned-MBTI](https://huggingface.co/GItaf/GPT2-CLS-Finetuned-MBTI) on the None dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.4722
+- Cls loss: 1.8206
+- Lm loss: 4.0167
+- Cls Accuracy: 0.6121
+- Cls F1: 0.6063
+- Cls Precision: 0.6096
+- Cls Recall: 0.6121
+- Perplexity: 55.52
 
 ## Model description
 
@@ -38,6 +47,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|:------------:|:------:|:-------------:|:----------:|:----------:|
+| 4.5259        | 1.0   | 3470  | 4.4772          | 1.6618   | 4.0615  | 0.6063       | 0.5983 | 0.6160        | 0.6063     | 58.06      |
+| 4.266         | 2.0   | 6940  | 4.4560          | 1.7186   | 4.0260  | 0.6179       | 0.6114 | 0.6210        | 0.6179     | 56.04      |
+| 4.1591        | 3.0   | 10410 | 4.4722          | 1.8206   | 4.0167  | 0.6121       | 0.6063 | 0.6096        | 0.6121     | 55.52      |
+
+
 ### Framework versions
 
 - Transformers 4.21.2