Update README.md

README.md

@@ -10,10 +10,48 @@ tags:
 - spam detection
 - email detection
 - text classification
+inference: true
+model-index:
+- name: foduucom/Mail-spam-detection
+  results:
+  - task:
+      type: text-classification
+    metrics:
+    - type: precision
+      value: 0.866
 ---
 
 
 # Model Card for Text Classification for email-spam detection
+This model is based on Text classification using pytorch library. In this model we propose to used a torchtext library for tokenize & vectorize data.
+It achieve the following results on the evalution set:
+- accuracy : 0.866
+
+## model architecture for text classification are below :
+
+<div align="center">
+  <img width="640" alt="foduucom/Mail-spam-detection" src="https://huggingface.co/foduucom/thermal-image-object-detection/resolve/main/image.jpg">
+</div>
+
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 1
+
+
+
+### Framework versions
+- Pytorch 1.10.0+cu111
+- Tokenizers 0.10.3
+
 
 ```bibtex
 @ModelCard{