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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-small
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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-small-finetuned-cnn-news
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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-cnn-news
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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: 2.3455
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+ - Rouge1: 25.2386
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+ - Rouge2: 9.5343
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+ - Rougel: 20.6686
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+ - Rougelsum: 23.2614
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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: 0.00056
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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: Use 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: 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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+ | 1.1393 | 1.0 | 718 | 2.4712 | 23.3266 | 8.6693 | 18.9609 | 21.406 |
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+ | 1.7054 | 2.0 | 1436 | 2.2697 | 24.3337 | 9.4775 | 20.1514 | 22.5425 |
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+ | 1.5479 | 3.0 | 2154 | 2.2868 | 24.3861 | 9.0245 | 20.0315 | 22.582 |
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+ | 1.4377 | 4.0 | 2872 | 2.3311 | 25.0473 | 9.4761 | 20.4587 | 23.0242 |
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+ | 1.3533 | 5.0 | 3590 | 2.3455 | 25.2386 | 9.5343 | 20.6686 | 23.2614 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.46.2"
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+ }
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