update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: resnet50
+  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
+
+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: 8.2042
+- Accuracy: 0.0
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 320
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 6.8491        | 1.0   | 1    | 8.1612          | 0.0      |
+| 6.7309        | 2.0   | 2    | 7.3393          | 0.0      |
+| 6.8199        | 3.0   | 3    | 7.9807          | 0.0      |
+| 6.8118        | 4.0   | 4    | 8.6801          | 0.0      |
+| 6.7573        | 5.0   | 5    | 8.2042          | 0.0      |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1
+- Datasets 2.6.0
+- Tokenizers 0.13.1