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facebook/bart-large-xsum-conclusion-generator-llm-

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: facebook/bart-large-xsum
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: Conclusion-generator
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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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+ # Conclusion-generator
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+
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+ This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1366
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+ - Rouge1: 0.288
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+ - Rouge2: 0.1138
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+ - Rougel: 0.2018
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+ - Rougelsum: 0.2044
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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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+ More information needed
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 404 | 1.1414 | 0.2834 | 0.1158 | 0.2022 | 0.2044 |
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+ | 1.3686 | 2.0 | 808 | 1.1263 | 0.2823 | 0.1149 | 0.2021 | 0.2042 |
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+ | 1.0281 | 3.0 | 1212 | 1.1366 | 0.288 | 0.1138 | 0.2018 | 0.2044 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.0
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