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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/bart-large-cnn
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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: bart-large-cnn-dc
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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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+ # bart-large-cnn-dc
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+
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+ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7411
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+ - Rouge1: 32.6259
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+ - Rouge2: 13.8436
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+ - Rougel: 24.1807
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+ - Rougelsum: 25.5363
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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: 5.6e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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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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+ | 1.913 | 1.0 | 2676 | 1.7099 | 31.961 | 13.1769 | 22.9039 | 24.4001 |
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+ | 1.4454 | 2.0 | 5352 | 1.5883 | 32.4628 | 13.6901 | 23.9072 | 25.1181 |
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+ | 1.1456 | 3.0 | 8028 | 1.5655 | 32.4881 | 13.8212 | 23.8344 | 25.0851 |
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+ | 0.8904 | 4.0 | 10704 | 1.6124 | 32.7249 | 13.7468 | 24.0745 | 25.5324 |
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+ | 0.6868 | 5.0 | 13380 | 1.7411 | 32.6259 | 13.8436 | 24.1807 | 25.5363 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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