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# segformer-b0-pytorch-bottles

This model is a fine-tuned version of [ArturR01/segformer-b0-pytorch-bottles](https://huggingface.co/ArturR01/segformer-b0-pytorch-bottles) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0215
- Mean Iou: 0.4975
- Mean Accuracy: 0.9949
- Overall Accuracy: 0.9949
- Accuracy Unlabeled: nan
- Accuracy Bottle: 0.9949
- Iou Unlabeled: 0.0
- Iou Bottle: 0.9949

## 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: 6e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Bottle | Iou Unlabeled | Iou Bottle |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:---------------:|:-------------:|:----------:|
| 0.0273        | 0.36  | 60   | 0.0259          | 0.4979   | 0.9959        | 0.9959           | nan                | 0.9959          | 0.0           | 0.9959     |
| 0.0238        | 0.72  | 120  | 0.0215          | 0.4975   | 0.9949        | 0.9949           | nan                | 0.9949          | 0.0           | 0.9949     |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "other", "tags": ["generated_from_trainer"], "model-index": [{"name": "segformer-b0-pytorch-bottles", "results": []}]}
transformers pytorch tensorboard segformer generated_from_trainer license:other endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #segformer #generated_from_trainer #license-other #endpoints_compatible #region-us 

segformer-b0-pytorch-bottles
============================


This model is a fine-tuned version of ArturR01/segformer-b0-pytorch-bottles on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0215
* Mean Iou: 0.4975
* Mean Accuracy: 0.9949
* Overall Accuracy: 0.9949
* Accuracy Unlabeled: nan
* Accuracy Bottle: 0.9949
* Iou Unlabeled: 0.0
* Iou Bottle: 0.9949


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: 6e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #segformer #generated_from_trainer #license-other #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3