Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: resnet50_jellyfish_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. -->
+
+# resnet50_jellyfish_classifier
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1954
+- Accuracy: 0.9444
+
+## 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: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 23   | 1.2120          | 0.5611   |
+| No log        | 2.0   | 46   | 0.6042          | 0.7667   |
+| No log        | 3.0   | 69   | 0.3322          | 0.8667   |
+| No log        | 4.0   | 92   | 0.4372          | 0.8722   |
+| No log        | 5.0   | 115  | 0.2465          | 0.9167   |
+| No log        | 6.0   | 138  | 0.2132          | 0.9333   |
+| No log        | 7.0   | 161  | 0.1954          | 0.9444   |
+| No log        | 8.0   | 184  | 0.1981          | 0.9167   |
+| No log        | 9.0   | 207  | 0.1531          | 0.9389   |
+| No log        | 10.0  | 230  | 0.1495          | 0.9389   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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