ClimAdaptLM
Collection
A family of domain- and task-specific language model agents that, together, structure the landscape of climate change adaptation policies. • 4 items • Updated
ClimAdaptLM-x-adaptation-specificity-predictor
This model is a fine-tuned version of climatebert/distilroberta-base-climate-f on climate change adaptation policy elements (input) and adaptation specificity scores (output).
Model description
This model predicts the adaptation specificity (on a scale from 0 to 1) of climate adaptation policy elements.
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: 16
- 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
Training results
The model is evaluated on a test set of 1152 policy elements.
MSE: 0.02479
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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Model tree for jetskewur/ClimAdaptLM-x-adaptation-specificity-predictor
Base model
climatebert/distilroberta-base-climate-f