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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google-t5/t5-small
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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: senate_bills_summary_model
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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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+ # senate_bills_summary_model
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+
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+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9099
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+ - Rouge1: 0.2477
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+ - Rouge2: 0.1963
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+ - Rougel: 0.2407
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+ - Rougelsum: 0.2406
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+ - Gen Len: 18.9992
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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: 14
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+ - eval_batch_size: 14
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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: 4
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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 | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 2.2318 | 1.0 | 749 | 1.9710 | 0.2475 | 0.1952 | 0.2405 | 0.2402 | 18.9985 |
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+ | 2.1782 | 2.0 | 1498 | 1.9331 | 0.2478 | 0.1959 | 0.2408 | 0.2406 | 18.9992 |
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+ | 2.1355 | 3.0 | 2247 | 1.9141 | 0.2479 | 0.1961 | 0.2409 | 0.2407 | 18.9992 |
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+ | 2.1079 | 4.0 | 2996 | 1.9099 | 0.2477 | 0.1963 | 0.2407 | 0.2406 | 18.9992 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "transformers_version": "4.40.1"
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+ }
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