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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-base
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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-base_readme_summarization
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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_readme_summarization
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7573
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+ - Rouge1: 0.4859
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+ - Rouge2: 0.3402
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+ - Rougel: 0.4581
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+ - Rougelsum: 0.4581
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+ - Gen Len: 14.1882
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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: 4
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+ - eval_batch_size: 4
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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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+ | 2.1761 | 1.0 | 1458 | 1.8974 | 0.4769 | 0.3281 | 0.4486 | 0.4484 | 14.265 |
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+ | 1.9982 | 2.0 | 2916 | 1.8329 | 0.4819 | 0.3349 | 0.4553 | 0.4552 | 14.0492 |
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+ | 1.8626 | 3.0 | 4374 | 1.7946 | 0.4793 | 0.3343 | 0.4528 | 0.4529 | 14.5971 |
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+ | 1.8013 | 4.0 | 5832 | 1.7695 | 0.4873 | 0.3418 | 0.4609 | 0.4614 | 14.1691 |
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+ | 1.7478 | 5.0 | 7290 | 1.7573 | 0.4859 | 0.3402 | 0.4581 | 0.4581 | 14.1882 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "transformers_version": "4.35.0"
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