iati-climate-multi-classifier-weighted2

iati-climate-multi-classifier-weighted2

This model is a fine-tuned version of alex-miller/ODABert on a subset of the alex-miller/iati-policy-markers dataset.

It achieves the following results on the evaluation set:

• Loss: 0.7080
• Accuracy: 0.8541
• F1: 0.7121
• Precision: 0.6265
• Recall: 0.8248

Model description

This model has been trained to identify both significant and principal climate mitigation and climate adaptation project titles and/or descriptions.

Intended uses & limitations

As many of the donors in the training dataset have mixed up Adaptation and Mitigation, the model's ability to differentiate the two isn't perfect. But the sigmoid of the model logits do bias toward the correct class.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-06
• train_batch_size: 24
• eval_batch_size: 24
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Framework versions

• Transformers 4.41.0
• Pytorch 2.0.1
• Datasets 2.19.1
• Tokenizers 0.19.1