End of training

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: msi-resnet-pretrain
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8862116991643454
+---
+
+<!-- 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. -->
+
+# msi-resnet-pretrain
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3514
+- Accuracy: 0.8862
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4387        | 1.0   | 1562 | 0.3894          | 0.8795   |
+| 0.2626        | 2.0   | 3125 | 0.3142          | 0.9024   |
+| 0.2134        | 3.0   | 4687 | 0.3767          | 0.8694   |
+| 0.1452        | 4.0   | 6250 | 0.3211          | 0.8947   |
+| 0.1773        | 5.0   | 7810 | 0.3514          | 0.8862   |
+
+
+### Framework versions
+
+- Transformers 4.36.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:586afa549ef736033910bd58e2d7f3ebee9a6cc72800ed165db562ef0ac62424
+oid sha256:b704365463790ccd0244581f7da60539d90190b5c2e4e35a8599c0ad00f47ee5
 size 94360348

runs/Dec16_19-48-46_Nubletz-505EO/events.out.tfevents.1702727327.Nubletz-505EO.16992.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d0173cc2a33b024cdb9cec3bd8e786cf9fb3dfbca9e2ee6dbbaaded6f04ec35c
-size 104026
+oid sha256:5091b36cd3cf5b9a7a89bfa7e28d951846778db7ce49a81cf6d095480f9ff4c7
+size 129195