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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
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+ results: []
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+ ---
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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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+
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+ # ECBERT-base-mlm
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ [Graimond/ECBERT-mlm-dataset](https://huggingface.co/datasets/Graimond/ECBERT-mlm-dataset)
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+ ### Framework versions
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+
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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