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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - samsum
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: bart-large-cnn-samsum
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: samsum
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+ type: samsum
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+ config: samsum
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+ split: test
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+ args: samsum
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 40.1703
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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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+ # bart-large-cnn-samsum
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+
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+ This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on the samsum dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4821
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+ - Rouge1: 40.1703
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+ - Rouge2: 20.2613
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+ - Rougel: 30.8068
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+ - Rougelsum: 37.4968
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+ - Gen Len: 60.0366
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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: 2
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+ - eval_batch_size: 2
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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: 1
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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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+ | 1.1917 | 1.0 | 7366 | 1.4821 | 40.1703 | 20.2613 | 30.8068 | 37.4968 | 60.0366 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - Pytorch 1.12.1
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+ - Datasets 2.13.0
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+ - Tokenizers 0.11.0
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+ "transformers_version": "4.30.2"
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+ }
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vocab.json ADDED
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