Model save

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: resnet-50
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9310344827586207
+---
+
+<!-- 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
+
+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: 0.6800
+- Accuracy: 0.9310
+
+## 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-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9655 | 7    | 0.6922          | 0.9310   |
+| 0.6927        | 1.9310 | 14   | 0.6895          | 0.9310   |
+| 0.6916        | 2.8966 | 21   | 0.6878          | 0.9310   |
+| 0.6916        | 4.0    | 29   | 0.6853          | 0.9310   |
+| 0.6899        | 4.9655 | 36   | 0.6839          | 0.9310   |
+| 0.6878        | 5.9310 | 43   | 0.6811          | 0.9310   |
+| 0.6868        | 6.8966 | 50   | 0.6826          | 0.9310   |
+| 0.6868        | 8.0    | 58   | 0.6804          | 0.9310   |
+| 0.6864        | 8.9655 | 65   | 0.6801          | 0.9310   |
+| 0.686         | 9.6552 | 70   | 0.6800          | 0.9310   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:99f281614d7c0ff636f29888a6fe118f7b8ad2627bdb5b87ce53490b83241a10
+oid sha256:778443c3498aaa33a63e97c3a6eee2321e4a66856d824eff49807c1a63965dd6
 size 94302952

runs/Aug12_22-57-31_EMIMDGXA100GPU1/events.out.tfevents.1723517853.EMIMDGXA100GPU1.76048.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a5a300753c4178c0d41463cc37813f5ad18564f71d1c476022bfb7b3d371f811
-size 8997
+oid sha256:4e4df3b826a7a85904a372757f155fd8164d8a5642fc6a159d97d54aa6f8a669
+size 9869