Intended Use
The model is intended for demo and research use on event-aware hourly SST forecasting prompts with 240 historical observations and a 72-hour forecast horizon.
Evaluation
Accepted local evaluation used deterministic post-repair to enforce the scorer contract of exactly 72 numeric values inside <answer>...</answer>.
overall_score: 0.446593775025025success_rate: 0.9954954954954955valid_score: 0.347338606083459valid_samples: 221 / 222
For the Hugging Face Space demo, forecasts are generated as a 10-sample ensemble. The demo plots the mean forecast and a +/- 1 std uncertainty band.
Training Procedure
Key hyperparameters:
- learning_rate: 5e-6
- num_epochs: 1
- total_train_batch_size: 32
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- seed: 42
Framework versions from training:
- Transformers 4.56.1
- PyTorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.2