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# segformer-b0-finetuned-pokemon

This model is a fine-tuned version of [ydmeira/segformer-b0-finetuned-pokemon](https://huggingface.co/ydmeira/segformer-b0-finetuned-pokemon) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0157
- Mean Iou: 0.4970
- Mean Accuracy: 0.9940
- Overall Accuracy: 0.9940
- Per Category Iou: [0.0, 0.9940101727137823]
- Per Category Accuracy: [nan, 0.9940101727137823]

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou          | Per Category Accuracy     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------------:|:-------------------------:|
| 0.0175        | 45.0  | 1305 | 0.0157          | 0.4971   | 0.9943        | 0.9943           | [0.0, 0.9942906494536522] | [nan, 0.9942906494536522] |
| 0.018         | 46.0  | 1334 | 0.0157          | 0.4968   | 0.9936        | 0.9936           | [0.0, 0.9936369941650801] | [nan, 0.9936369941650801] |
| 0.0185        | 47.0  | 1363 | 0.0157          | 0.4971   | 0.9943        | 0.9943           | [0.0, 0.9942791789145462] | [nan, 0.9942791789145462] |
| 0.018         | 48.0  | 1392 | 0.0157          | 0.4969   | 0.9937        | 0.9937           | [0.0, 0.9937245121725857] | [nan, 0.9937245121725857] |
| 0.0183        | 49.0  | 1421 | 0.0157          | 0.4969   | 0.9939        | 0.9939           | [0.0, 0.9938530594161242] | [nan, 0.9938530594161242] |
| 0.0196        | 50.0  | 1450 | 0.0157          | 0.4970   | 0.9940        | 0.9940           | [0.0, 0.9940101727137823] | [nan, 0.9940101727137823] |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "segformer-b0-finetuned-pokemon", "results": []}]}
transformers pytorch tensorboard segformer generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #segformer #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

segformer-b0-finetuned-pokemon
==============================


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


* Loss: 0.0157
* Mean Iou: 0.4970
* Mean Accuracy: 0.9940
* Overall Accuracy: 0.9940
* Per Category Iou: [0.0, 0.9940101727137823]
* Per Category Accuracy: [nan, 0.9940101727137823]


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: 24
* eval\_batch\_size: 24
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50


### Training results



### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0+cu113
* Datasets 2.3.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 24
* eval\_batch\_size: 24
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0+cu113
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #segformer #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 24
* eval\_batch\_size: 24
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0+cu113
* Datasets 2.3.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #segformer #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 24
* eval\_batch\_size: 24
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50### Training results### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0+cu113
* Datasets 2.3.2
* Tokenizers 0.12.1