ECBERT-base-pretrained-finetuned

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ECBERT-base-mlm

This model is a fine-tuned version of Graimond/ECBERT-base-mlm on Gorodnichenko, Y., Pham, T., & Talavera, O. (2023). Data and Code for: The Voice of Monetary Policy (Version v1) [Dataset]. ICPSR - Interuniversity Consortium for Political and Social Research. https://doi.org/10.3886/E178302V1. The best model achieves the following results on the evaluation set:

• Loss: 0.4129
• Accuracy: 85.94%

The label_map is as follows: {"hawkish": 0, "neutral": 1, "dovish": 2}

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Gorodnichenko, Y., Pham, T., & Talavera, O. (2023). Data and Code for: The Voice of Monetary Policy (Version v1) [Dataset]. ICPSR - Interuniversity Consortium for Political and Social Research. https://doi.org/10.3886/E178302V1.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-5
• weight_decay=0.01
• per_device_train_batch_size=16
• seed: 42
• epochs: 20

Training results

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0