---
license: apache-2.0
base_model: microsoft/resnet-34
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: '42'
  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. -->

# 42

This model is a fine-tuned version of [microsoft/resnet-34](https://huggingface.co/microsoft/resnet-34) on the cifar10 dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6750
- Accuracy: 0.7248
- Dt Accuracy: 0.7248
- Df Accuracy: 0.734
- Unlearn Overall Accuracy: 0
- Unlearn Time: None

## 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: 128
- eval_batch_size: 256
- 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 | Overall Accuracy | Unlearn Overall Accuracy | Time |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:------------------------:|:----:|
| No log        | 1.0   | 32   | 1.9091          | 0.828    | 0.4119           | 0.4119                   | None |
| No log        | 2.0   | 64   | 2.9815          | 0.7885   | 0.4501           | 0.4501                   | None |
| No log        | 3.0   | 96   | 3.7770          | 0.7515   | 0                | 0                        | None |
| No log        | 4.0   | 128  | 3.7162          | 0.754    | 0                | 0                        | None |
| No log        | 5.0   | 160  | 4.3877          | 0.7395   | 0                | 0                        | None |
| No log        | 6.0   | 192  | 4.8596          | 0.738    | 0                | 0                        | None |
| No log        | 7.0   | 224  | 4.0900          | 0.727    | 0                | 0                        | None |
| No log        | 8.0   | 256  | 4.9009          | 0.729    | 0                | 0                        | None |
| No log        | 9.0   | 288  | 4.8932          | 0.724    | 0                | 0                        | None |
| No log        | 10.0  | 320  | 4.6750          | 0.734    | 0                | 0                        | None |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2