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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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model-index: |
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- name: ECBERT-base-mlm |
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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-mlm |
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This model is a pretrained version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on 25,581 texts (available [here](https://huggingface.co/datasets/Graimond/ECBERT-mlm-dataset)) using MLM but not yet fine-tuned on the monetary policy sentiment analysis task. |
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The best model achieves the following results on an out-of-sample test set ([Graimond/ECBERT-idioms-dataset](https://huggingface.co/datasets/Graimond/ECBERT-idioms-dataset)): |
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- Accuracy: 40.00% |
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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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- Training data: [Graimond/ECBERT-mlm-dataset](https://huggingface.co/datasets/Graimond/ECBERT-mlm-dataset) |
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- Evaluation data: [Graimond/ECBERT-idioms-dataset](https://huggingface.co/datasets/Graimond/ECBERT-idioms-dataset) |
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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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- weight_decay=0.01 |
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- per_device_train_batch_size=16 |
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- seed: 42 |
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- epochs: 20 |
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### Training results |
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| Epoch | Training Loss | Validation Loss | |
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|-------|---------------|-----------------| |
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| 1 | 1.905000 | 1.903329 | |
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| 2 | 1.689700 | 1.764568 | |
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| 3 | 1.600900 | nan | |
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| 4 | 1.476500 | 1.683352 | |
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| 5 | 1.381200 | 1.629597 | |
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| 6 | 1.367300 | nan | |
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| 7 | 1.230300 | 1.628195 | |
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| 8 | 1.142700 | 1.567721 | |
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| 9 | 1.131800 | 1.618517 | |
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| 10 | 1.139700 | nan | |
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| 11 | 1.086200 | nan | |
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| 12 | 1.072500 | 1.560426 | |
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| 13 | 0.984800 | 1.556072 | |
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| 14 | 0.958500 | 1.606674 | |
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| 15 | 0.955600 | 1.619744 | |
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| 16 | 0.920500 | 1.581421 | |
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| 17 | 0.882300 | 1.535872 | |
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| 18 | 0.877900 | 1.565936 | |
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| 19 | 0.803100 | nan | |
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| 20 | 0.815700 | 1.604986 | |
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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 |
