update model card README.md

README.md

@@ -0,0 +1,76 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- beans
+metrics:
+- accuracy
+model-index:
+- name: resnet-50-base-beans-demo
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: beans
+      type: beans
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9924812030075187
+---
+
+<!-- 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. -->
+
+# resnet-50-base-beans-demo
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the beans dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0429
+- Accuracy: 0.9925
+
+## 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: 0.002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7703        | 1.0   | 130  | 1.2238          | 0.5263   |
+| 0.4905        | 2.0   | 260  | 0.5193          | 0.8271   |
+| 0.4793        | 3.0   | 390  | 0.1421          | 0.9699   |
+| 0.2986        | 4.0   | 520  | 0.0760          | 0.9624   |
+| 0.1927        | 5.0   | 650  | 0.0429          | 0.9925   |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu102
+- Datasets 2.2.1
+- Tokenizers 0.12.1