Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: resnet-50-cocoa
+  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. -->
+
+# resnet-50-cocoa
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8971
+- Accuracy: 0.8628
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4094        | 1.0   | 196  | 1.4768          | 0.8592   |
+| 1.0664        | 2.0   | 392  | 1.2090          | 0.8628   |
+| 1.0295        | 3.0   | 588  | 0.9924          | 0.8628   |
+| 0.8401        | 4.0   | 784  | 0.9143          | 0.8628   |
+| 0.8213        | 5.0   | 980  | 0.8971          | 0.8628   |
+
+
+### Framework versions
+
+- Transformers 4.47.0.dev0
+- Pytorch 2.3.0+cu118
+- Datasets 3.1.0
+- Tokenizers 0.20.3

runs/Dec04_07-12-00_kali/events.out.tfevents.1733314333.kali.273677.0

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