---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Train
  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. -->

# Train

This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on the TrashBox dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7726
- Accuracy: 0.4374

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.1529        | 0.13  | 100  | 3.2116          | 0.0590   |
| 3.1644        | 0.26  | 200  | 3.2096          | 0.0692   |
| 3.1549        | 0.39  | 300  | 3.1986          | 0.0692   |
| 3.2998        | 0.51  | 400  | 3.1968          | 0.1077   |
| 3.1344        | 0.64  | 500  | 3.1667          | 0.1718   |
| 3.3638        | 0.77  | 600  | 3.1384          | 0.1744   |
| 3.1482        | 0.9   | 700  | 3.0966          | 0.2026   |
| 3.1366        | 1.03  | 800  | 3.0484          | 0.1897   |
| 3.0206        | 1.16  | 900  | 3.0164          | 0.3026   |
| 2.921         | 1.29  | 1000 | 2.9846          | 0.3231   |
| 3.0027        | 1.41  | 1100 | 2.9338          | 0.3359   |
| 2.9047        | 1.54  | 1200 | 2.8917          | 0.3462   |
| 2.8579        | 1.67  | 1300 | 2.8616          | 0.4026   |
| 2.988         | 1.8   | 1400 | 2.7832          | 0.4077   |
| 2.8553        | 1.93  | 1500 | 2.8217          | 0.3872   |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3