Add or update model card README

README.md

@@ -1,10 +1,27 @@
 ---
-base_model:
-- google/mobilebert-uncased
-language:
-- en
-license: mit
-metrics:
-- accuracy
-pipeline_tag: text-classification
----
+        license: apache-2.0
+        ---
+        # SamagraDataGov/test_model_mobbert
+
+        This is a text-classification model fine-tuned on `google/mobilebert-uncased` using the dataset `DatasetDict({
+    train: Dataset({
+        features: ['record_id', 'text', 'class', 'label'],
+        num_rows: 17
+    })
+    test: Dataset({
+        features: ['record_id', 'text', 'class', 'label'],
+        num_rows: 17
+    })
+})`.
+
+        ## Evaluation Results
+
+        Below are the evaluation metrics from the training run:
+        {
+  "eval_loss": 1433031.0,
+  "eval_f1": 0.32,
+  "eval_runtime": 0.7796,
+  "eval_samples_per_second": 21.805,
+  "eval_steps_per_second": 21.805,
+  "epoch": 2.0
+}