metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned-pokemon
results: []
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: 0.0225
- Mean Accuracy: 0.9927
- Mean Iou: 0.4964
- Overall Accuracy: 0.9927
- Per Category Accuracy: [nan, 0.9927247002783977]
- Per Category Iou: [0.0, 0.9927247002783977]
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Accuracy | Mean Iou | Overall Accuracy | Per Category Accuracy | Per Category Iou |
|---|---|---|---|---|---|---|---|---|
| 0.0217 | 15.0 | 435 | 0.0228 | 0.9944 | 0.4972 | 0.9944 | [nan, 0.9944285716570368] | [0.0, 0.9944285716570368] |
| 0.0228 | 16.0 | 464 | 0.0227 | 0.9943 | 0.4971 | 0.9943 | [nan, 0.9942943994375907] | [0.0, 0.9942943994375907] |
| 0.0204 | 17.0 | 493 | 0.0226 | 0.9933 | 0.4967 | 0.9933 | [nan, 0.9933366094222428] | [0.0, 0.9933366094222428] |
| 0.0202 | 18.0 | 522 | 0.0226 | 0.9929 | 0.4964 | 0.9929 | [nan, 0.9928635048309444] | [0.0, 0.9928635048309444] |
| 0.021 | 19.0 | 551 | 0.0226 | 0.9924 | 0.4962 | 0.9924 | [nan, 0.9924163192462797] | [0.0, 0.9924163192462797] |
| 0.0203 | 20.0 | 580 | 0.0225 | 0.9927 | 0.4964 | 0.9927 | [nan, 0.9927247002783977] | [0.0, 0.9927247002783977] |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1