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segformer-b1-kelp-rgb-agg-imgaug-jan-22 – AI Model by samitizerxu | AlphaNeural AI
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samitizerxu
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segformer-b1-kelp-rgb-agg-imgaug-jan-22
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transformers
safetensors
segformer
vision
image-segmentation
generated_from_trainer
kelp_data
nvidia/mit-b1
finetune
other
endpoints_compatible
us
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segformer-b1-kelp-rgb-agg-imgaug-jan-22
This model is a fine-tuned version of
nvidia/mit-b1
on the samitizerxu/kelp_data dataset. It achieves the following results on the evaluation set:
eval_accuracy_kelp: nan
eval_iou_kelp: 0.0
eval_loss: 0.3223
eval_mean_iou: 0.0205
eval_mean_accuracy: 0.0410
eval_overall_accuracy: 0.0410
eval_runtime: 62.0057
eval_samples_per_second: 27.272
eval_steps_per_second: 3.419
epoch: 1.16
step: 570
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 40
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0
