Update README.md

README.md

@@ -67,6 +67,20 @@ model.config.id2label[predicted_label]
 
 The model's training data includes a proprietary dataset comprising approximately 80,000 images. This dataset encompasses a significant amount of variability and consists of two distinct classes: "normal" and "nsfw." The training process on this data aimed to equip the model with the ability to distinguish between safe and explicit content effectively.
 
+### Training Stats
+``` markdown
+
+- 'eval_loss': 0.07463177293539047,
+- 'eval_accuracy': 0.980375, 
+- 'eval_runtime': 304.9846, 
+- 'eval_samples_per_second': 52.462, 
+- 'eval_steps_per_second': 3.279
+
+```
+
+<hr>
+
+
 **Note:** It's essential to use this model responsibly and ethically, adhering to content guidelines and applicable regulations when implementing it in real-world applications, particularly those involving potentially sensitive content.
 
 For more details on model fine-tuning and usage, please refer to the model's documentation and the model hub.