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cali_wildfires_superbuckets
gdurkin/cali_wildfires_superbuckets
cali_wildfires_superbuckets is a machine learning model from gdurkin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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. -->
cali_wildfires_superbuckets
This model is a fine-tuned version of gdurkin/cali_wildfires on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 39.8611
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 46.9823 | 0.9992 | 908 | 44.2028 |
| 43.7026 | 1.9994 | 1817 | 41.6333 |
| 43.1604 | 2.9997 | 2726 | 42.6112 |
| 42.7701 | 4.0 | 3635 | 41.1723 |
| 42.448 | 4.9992 | 4543 | 41.7719 |
| 42.1016 | 5.9994 | 5452 | 41.3481 |
| 41.7597 | 6.9997 | 6361 | 40.7160 |
| 41.931 | 8.0 | 7270 | 40.4156 |
| 40.8349 | 8.9992 | 8178 | 41.7616 |
| 41.4868 | 9.9994 | 9087 | 39.8706 |
| 40.8336 | 10.9997 | 9996 | 40.9914 |
| 40.5751 | 12.0 | 10905 | 40.6050 |
| 40.587 | 12.9992 | 11813 | 40.2944 |
| 40.2109 | 13.9994 | 12722 | 40.7404 |
| 40.7232 | 14.9997 | 13631 | 40.0876 |
| 40.0984 | 16.0 | 14540 | 40.0743 |
| 40.121 | 16.9992 | 15448 | 39.3861 |
| 39.6405 | 17.9994 | 16357 | 39.7561 |
| 39.7266 | 18.9997 | 17266 | 39.7452 |
| 39.216 | 20.0 | 18175 | 39.9445 |
| 39.4727 | 20.9992 | 19083 | 40.1958 |
| 39.6189 | 21.9994 | 19992 | 40.1457 |
| 39.622 | 22.9997 | 20901 | 40.0345 |
| 38.9822 | 24.0 | 21810 | 39.8065 |
| 39.4845 | 24.9992 | 22718 | 39.8453 |
| 39.2516 | 25.9994 | 23627 | 39.8971 |
| 39.099 | 26.9997 | 24536 | 39.8205 |
| 38.8892 | 28.0 | 25445 | 39.7963 |
| 38.7629 | 28.9992 | 26353 | 39.6499 |
| 38.6387 | 29.9752 | 27240 | 39.8611 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.20.3
- Library
- transformers
- Type
- mask2former
- Created
- Sep 19, 2025
- Updated
- Sep 20, 2025