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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - rebel-short
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: flan-t5-base-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: rebel-short
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+ type: rebel-short
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 51.5716
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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-samsum
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+
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+ This model is a fine-tuned version of [flan-t5-base-samsum\checkpoint-1658](https://huggingface.co/flan-t5-base-samsum\checkpoint-1658) on the rebel-short dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1029
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+ - Rouge1: 51.5716
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+ - Rouge2: 40.2152
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+ - Rougel: 49.9941
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+ - Rougelsum: 49.9767
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+ - Gen Len: 18.5898
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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: 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 | Gen Len |
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+ |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.1256 | 1.0 | 22047 | 0.1206 | 50.3892 | 38.2761 | 48.7657 | 48.7444 | 18.6112 |
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+ | 0.1091 | 2.0 | 44094 | 0.1112 | 50.9615 | 39.2843 | 49.3865 | 49.3674 | 18.5447 |
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+ | 0.0875 | 3.0 | 66141 | 0.1047 | 51.2045 | 39.7598 | 49.6483 | 49.6317 | 18.5763 |
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+ | 0.0841 | 4.0 | 88188 | 0.1036 | 51.3543 | 39.9776 | 49.8528 | 49.8223 | 18.6178 |
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+ | 0.0806 | 5.0 | 110235 | 0.1029 | 51.5716 | 40.2152 | 49.9941 | 49.9767 | 18.5898 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.2
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.10.1
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+ - Tokenizers 0.12.1
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