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End of training

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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: 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: t5-small-finetuned-multinews
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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-small-finetuned-multinews
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7276
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+ - Rouge1: 14.7073
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+ - Rouge2: 4.8849
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+ - Rougel: 11.336
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+ - Rougelsum: 13.1015
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+ - Gen Len: 18.98
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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 | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | 3.2539 | 1.0 | 506 | 2.8142 | 14.3316 | 4.7443 | 11.1018 | 12.8337 | 18.98 |
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+ | 3.0164 | 2.0 | 1012 | 2.7613 | 14.749 | 4.9494 | 11.3621 | 13.1838 | 18.98 |
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+ | 2.9764 | 3.0 | 1518 | 2.7402 | 14.7452 | 4.8903 | 11.367 | 13.1816 | 18.98 |
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+ | 2.9514 | 4.0 | 2024 | 2.7307 | 14.7309 | 4.8615 | 11.3391 | 13.1464 | 18.98 |
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+ | 2.9446 | 5.0 | 2530 | 2.7276 | 14.7073 | 4.8849 | 11.336 | 13.1015 | 18.98 |
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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 1.13.1+cu117
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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+ "transformers_version": "4.40.1"
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