End of training

README.md

@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- chest-xray-classification
+metrics:
+- accuracy
+model-index:
+- name: Cheese_xray
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: chest-xray-classification
+      type: chest-xray-classification
+      config: full
+      split: test
+      args: full
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7061855670103093
+---
+
+<!-- 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. -->
+
+# Cheese_xray
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the chest-xray-classification dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4278
+- Accuracy: 0.7062
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5547        | 0.99  | 63   | 0.5554          | 0.7062   |
+| 0.4303        | 1.99  | 127  | 0.4387          | 0.7079   |
+| 0.4377        | 2.96  | 189  | 0.4278          | 0.7062   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:10eda0238665a3138dc90c3ed3d0c6a882e1d419e02adc35712df9afbd82e8c8
+oid sha256:101b0a4a044810c002e5c77e3919cecbea5b3e77693da6495ed1cc873063c348
 size 94302952