| --- |
| license: other |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: segment_50ep |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # segment_50ep |
| |
| This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.0867 |
| - eval_mean_iou: 0.8941 |
| - eval_mean_accuracy: 0.9459 |
| - eval_overall_accuracy: 0.9728 |
| - eval_per_category_iou: [0.8914159628180123, 0.9397057910334902, 0.784713695838044, 0.9606094621573129] |
| - eval_per_category_accuracy: [0.9685998627316403, 0.9696767617484154, 0.8661740631737143, 0.9789942690602516] |
| - eval_runtime: 40.9902 |
| - eval_samples_per_second: 0.976 |
| - eval_steps_per_second: 0.244 |
| - epoch: 36.82 |
| - step: 3240 |
| |
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 50 |
| |
| ### Framework versions |
| |
| - Transformers 4.26.1 |
| - Pytorch 1.13.0 |
| - Datasets 2.10.1 |
| - Tokenizers 0.13.2 |
| |
