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Training complete

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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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+ - 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: 1.8421
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+ - Rouge1: 24.4309
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+ - Rouge2: 12.1268
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+ - Rougel: 20.3697
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+ - Rougelsum: 23.18
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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: 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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+ | 2.0267 | 1.0 | 718 | 1.8134 | 24.5086 | 12.0372 | 20.3241 | 23.2338 |
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+ | 1.8289 | 2.0 | 1436 | 1.8150 | 24.4861 | 12.1833 | 20.5262 | 23.3358 |
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+ | 1.6833 | 3.0 | 2154 | 1.8148 | 23.9202 | 11.7941 | 19.9514 | 22.7185 |
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+ | 1.576 | 4.0 | 2872 | 1.8271 | 24.2367 | 11.8778 | 20.1292 | 23.0104 |
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+ | 1.4965 | 5.0 | 3590 | 1.8421 | 24.4309 | 12.1268 | 20.3697 | 23.18 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "pad_token_id": 0,
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+ "transformers_version": "4.42.4"
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+ }
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