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README.md
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---
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metrics:
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- accuracy
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---
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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metrics:
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- accuracy
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model-index:
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- name: ECBERT-base
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ECBERT-base
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) 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.
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It achieves the following results on the evaluation set:
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- Loss: 0.4662
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- Accuracy: 84.34%
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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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.
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-5
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- lr_scheduler_type: linear
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- epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:----------------|---------:|-------:|:--------------------|
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| No log | 1 | 63 | 0.9462559819221497 |
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| 1.0232 | 1.5873 | 100 | N/A |
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| No log | 2 | 126 | 0.5972977876663208 |
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| No log | 3 | 189 | 0.4892125129699707 |
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| 0.5002 | 3.1746 | 200 | N/A |
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| No log | 4 | 252 | 0.4661949574947357 |
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| 0.2978 | 4.7619 | 300 | N/A |
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| No log | 5 | 315 | 0.4729757606983185 |
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| No log | 6 | 378 | 0.6107903718948364 |
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| 0.2891 | 6.34921 | 400 | N/A |
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| No log | 7 | 441 | 0.49726468324661255 |
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| 0.2692 | 7.93651 | 500 | N/A |
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| No log | 8 | 504 | 0.4903869032859802 |
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| No log | 9 | 567 | 0.568524956703186 |
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| 0.1863 | 9.52381 | 600 | N/A |
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| No log | 10 | 630 | 0.6198205351829529 |
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| No log | 10 | 630 | 0.4661949574947357 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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