transformers tensorboard safetensors resnet image-classification generated_from_trainer base_model:microsoft/resnet-50 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: resnet50_jellyfish_classifier
  results: []
---

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# 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
