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Training complete

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: t5-base
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+ tags:
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+ - summarization
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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: t5-base-billsum
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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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+ # t5-base-billsum
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6188
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+ - Rouge1: 51.4114
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+ - Rouge2: 30.6521
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+ - Rougel: 40.9417
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+ - Rougelsum: 44.6839
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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: 16
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+ - eval_batch_size: 16
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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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+ - 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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+ | 1.9236 | 1.0 | 1185 | 1.5895 | 52.5513 | 32.239 | 42.0215 | 45.9665 |
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+ | 1.7231 | 2.0 | 2370 | 1.5380 | 53.3168 | 33.2784 | 42.9286 | 46.7854 |
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+ | 1.6708 | 3.0 | 3555 | 1.5187 | 53.2982 | 33.3262 | 42.979 | 46.8863 |
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+ | 1.7884 | 4.0 | 4740 | 1.6197 | 51.4854 | 30.768 | 41.0231 | 44.7727 |
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+ | 1.8212 | 5.0 | 5925 | 1.6188 | 51.4114 | 30.6521 | 40.9417 | 44.6839 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.2
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+ - Tokenizers 0.19.1
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+ "pad_token_id": 0,
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+ "transformers_version": "4.44.2"
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+ }
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