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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: google/flan-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: flan-t5-base-YT-transcript-sum
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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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+ # flan-t5-base-YT-transcript-sum
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4118
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+ - Rouge1: 25.4884
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+ - Rouge2: 12.9544
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+ - Rougel: 21.8085
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+ - Rougelsum: 23.7402
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+ - Gen Len: 19.0
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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: 5e-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: 15
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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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+ | No log | 1.0 | 216 | 1.5856 | 23.6948 | 11.0722 | 20.1382 | 22.2371 | 18.9722 |
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+ | No log | 2.0 | 432 | 1.4956 | 23.9099 | 11.6734 | 20.4638 | 22.2083 | 19.0 |
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+ | 1.7743 | 3.0 | 648 | 1.4517 | 24.8274 | 12.1689 | 21.0773 | 23.1354 | 19.0 |
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+ | 1.7743 | 4.0 | 864 | 1.4334 | 25.0091 | 12.4359 | 21.3687 | 23.3004 | 18.9769 |
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+ | 1.4377 | 5.0 | 1080 | 1.4175 | 25.4136 | 12.792 | 21.5903 | 23.5516 | 18.9815 |
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+ | 1.4377 | 6.0 | 1296 | 1.4118 | 25.4884 | 12.9544 | 21.8085 | 23.7402 | 19.0 |
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+ | 1.2819 | 7.0 | 1512 | 1.4144 | 25.6073 | 13.4263 | 22.1348 | 24.0203 | 19.0 |
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+ | 1.2819 | 8.0 | 1728 | 1.4181 | 25.8727 | 13.5153 | 22.2189 | 24.211 | 19.0 |
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+ | 1.2819 | 9.0 | 1944 | 1.4174 | 25.8817 | 13.9496 | 22.4955 | 24.3655 | 19.0 |
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+ | 1.1716 | 10.0 | 2160 | 1.4193 | 26.2123 | 13.7931 | 22.4856 | 24.6381 | 19.0 |
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+ | 1.1716 | 11.0 | 2376 | 1.4188 | 25.7062 | 13.6106 | 22.1476 | 24.1384 | 19.0 |
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+ | 1.0947 | 12.0 | 2592 | 1.4243 | 26.0097 | 13.9708 | 22.4699 | 24.4448 | 19.0 |
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+ | 1.0947 | 13.0 | 2808 | 1.4307 | 26.0922 | 14.1617 | 22.5681 | 24.513 | 18.9954 |
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+ | 1.0566 | 14.0 | 3024 | 1.4311 | 25.9908 | 13.8775 | 22.448 | 24.4268 | 18.9954 |
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+ | 1.0566 | 15.0 | 3240 | 1.4347 | 26.1238 | 13.9542 | 22.5653 | 24.5333 | 18.9954 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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+ "vocab_size": 32128
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