Update README.md

README.md

@@ -1,64 +1,66 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: distilbert-base-uncased
-tags:
-- generated_from_trainer
-model-index:
-- name: vision-classifier
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# vision-classifier
-
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0002
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 7
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 173  | 0.0002          |
-| No log        | 2.0   | 346  | 0.0002          |
-| 0.0003        | 3.0   | 519  | 0.0002          |
-| 0.0003        | 4.0   | 692  | 0.0002          |
-| 0.0003        | 5.0   | 865  | 0.0002          |
-| 0.0003        | 6.0   | 1038 | 0.0002          |
-| 0.0003        | 7.0   | 1211 | 0.0002          |
-
-
-### Framework versions
-
-- Transformers 4.46.2
-- Pytorch 2.5.1+cu118
-- Datasets 2.19.1
-- Tokenizers 0.20.3
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: vision-classifier
+  results: []
+widget:
+  - text: "Age: 40-64 years, Gender: Female, Race: White, non-Hispanic, Diabetes: No"
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# vision-classifier
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0002
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 173  | 0.0002          |
+| No log        | 2.0   | 346  | 0.0002          |
+| 0.0003        | 3.0   | 519  | 0.0002          |
+| 0.0003        | 4.0   | 692  | 0.0002          |
+| 0.0003        | 5.0   | 865  | 0.0002          |
+| 0.0003        | 6.0   | 1038 | 0.0002          |
+| 0.0003        | 7.0   | 1211 | 0.0002          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu118
+- Datasets 2.19.1
+- Tokenizers 0.20.3