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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-t5/t5-small
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - Andyrasika/TweetSumm-tuned
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+ metrics:
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+ - rouge
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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: t5-small-Full-TweetSumm-1724699443
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+ results:
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+ - task:
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+ name: Summarization
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+ type: summarization
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+ dataset:
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+ name: Andyrasika/TweetSumm-tuned
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+ type: Andyrasika/TweetSumm-tuned
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 0.4576
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+ - name: F1
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+ type: f1
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+ value: 0.8917
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+ - name: Precision
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+ type: precision
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+ value: 0.8901
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+ - name: Recall
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+ type: recall
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+ value: 0.8936
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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-Full-TweetSumm-1724699443
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+
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+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the Andyrasika/TweetSumm-tuned dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9954
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+ - Rouge1: 0.4576
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+ - Rouge2: 0.2129
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+ - Rougel: 0.3814
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+ - Rougelsum: 0.4246
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+ - Gen Len: 49.4636
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+ - F1: 0.8917
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+ - Precision: 0.8901
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+ - Recall: 0.8936
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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: 0.0005
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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: 3
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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 | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:---------:|:------:|
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+ | 2.3321 | 1.0 | 110 | 2.0722 | 0.462 | 0.2119 | 0.3832 | 0.429 | 49.4818 | 0.8916 | 0.8905 | 0.893 |
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+ | 2.0488 | 2.0 | 220 | 2.0052 | 0.453 | 0.2025 | 0.3721 | 0.4167 | 49.5727 | 0.8912 | 0.8889 | 0.8938 |
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+ | 1.7205 | 3.0 | 330 | 1.9954 | 0.4576 | 0.2129 | 0.3814 | 0.4246 | 49.4636 | 0.8917 | 0.8901 | 0.8936 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ }
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+ "use_cache": true,
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