Update README.md

README.md

@@ -1,6 +1,16 @@
 ---
 library_name: transformers
-tags: []
+license: mit
+language:
+- en
+metrics:
+- accuracy
+- f1
+- bleu
+- rouge
+base_model:
+- google-bert/bert-base-uncased
+pipeline_tag: question-answering
 ---
 
 # Model Card for Model ID
@@ -11,6 +21,48 @@ tags: []
 
 ## Model Details
 
+### Architecture
+
+The model is based on a transformer-based architecture, leveraging attention mechanisms to capture contextual relationships in text.
+
+Fine-tuned using a custom training pipeline optimized for specific downstream tasks.
+
+### Training Data
+
+Trained on a diverse dataset comprising text samples from various domains.
+Preprocessing steps include tokenization, normalization, and augmentation to ensure robustness and generalizability.
+
+### Training Metrics
+1
+1.4043
+1.4229
+2
+0.9750
+1.3638
+3
+0.6081
+1.5151
+4
+0.3593
+1.7942
+5
+0.2212
+2.0574
+
+#### Final Training Output:
+
+{
+  "global_step": 8530,
+  "training_loss": 0.7827,
+  "metrics": {
+    "train_runtime": 5246.0552,
+    "train_samples_per_second": 13.003,
+    "train_steps_per_second": 1.626,
+    "total_flos": 1.3368e+16,
+    "epoch": 5.0
+  }
+}
+<!-- 
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
@@ -196,4 +248,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ## Model Card Contact
 
-[More Information Needed]
+[More Information Needed] -->