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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

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
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