metadata
license: other
base_model: nvidia/mit-b4
tags:
- generated_from_trainer
model-index:
- name: segformer_rust
results: []
segformer_rust
This model is a fine-tuned version of nvidia/mit-b4 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1800
- eval_mean_iou: 0.9263
- eval_mean_accuracy: 0.9672
- eval_overall_accuracy: 0.9672
- eval_per_category_iou: [0.9263180856590626]
- eval_per_category_accuracy: [0.9671769089820561]
- eval_runtime: 733.0358
- eval_samples_per_second: 1.247
- eval_steps_per_second: 0.312
- epoch: 3.0
- step: 1371
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3