update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: resnet-50_finetuned
+  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_finetuned
+
+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: 0.7209
+- Precision: 0.3702
+- Recall: 0.5
+- F1: 0.4254
+- Accuracy: 0.7404
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 46   | 0.6599          | 0.3702    | 0.5    | 0.4254 | 0.7404   |
+| No log        | 2.0   | 92   | 0.6725          | 0.3702    | 0.5    | 0.4254 | 0.7404   |
+| No log        | 3.0   | 138  | nan             | 0.8714    | 0.5062 | 0.4384 | 0.7436   |
+| No log        | 4.0   | 184  | nan             | 0.8714    | 0.5062 | 0.4384 | 0.7436   |
+| No log        | 5.0   | 230  | nan             | 0.8714    | 0.5062 | 0.4384 | 0.7436   |
+| No log        | 6.0   | 276  | nan             | 0.8714    | 0.5062 | 0.4384 | 0.7436   |
+| No log        | 7.0   | 322  | nan             | 0.8714    | 0.5062 | 0.4384 | 0.7436   |
+| No log        | 8.0   | 368  | nan             | 0.8714    | 0.5062 | 0.4384 | 0.7436   |
+| No log        | 9.0   | 414  | nan             | 0.8714    | 0.5062 | 0.4384 | 0.7436   |
+| No log        | 10.0  | 460  | 0.7209          | 0.3702    | 0.5    | 0.4254 | 0.7404   |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1