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README.md
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model-index:
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- name: longformer-base-4096-bible
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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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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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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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- Transformers 4.50.3
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- Pytorch 2.6.0+cu124
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- Datasets 2.18.0
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- Tokenizers 0.21.1
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model-index:
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- name: longformer-base-4096-bible
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results: []
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license: apache-2.0
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language:
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- en
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base_model:
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- allenai/longformer-base-4096
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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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## Model description
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Fine-Tuned allenai/longformer-base-4096 model to predict Bible chapter relevance from 1 to 5.
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## Intended uses & limitations
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Predict relevance from 1 to 5 for Bible text. Fine-Tune for each query separately.
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## Training and evaluation data
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One query. Chapter ID. Chapter Name. Chapter Text. Relevance Label.
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## Training procedure
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Train for 12 epochs adjusting learning rate by cosine with 2 restarts and 4 epochs of warmup.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.50.3
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- Pytorch 2.6.0+cu124
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- Datasets 2.18.0
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- Tokenizers 0.21.1
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