sam2-micromat-demo / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: facebook/sam2.1-hiera-small
tags:
  - image-segmentation
  - vision
  - sam
  - trackio
  - trackio:https://huggingface.co/spaces/evalstate/trackio
  - generated_from_trainer
model-index:
  - name: sam2-micromat-demo
    results: []

Visualize in Trackio

sam2-micromat-demo

This model is a fine-tuned version of facebook/sam2.1-hiera-small on the merve/MicroMat-mini dataset.

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: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 5.3.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.7.0
  • Tokenizers 0.22.2