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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - summarization
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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-small-finetuned-eLife-tfg
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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-small-finetuned-eLife-tfg
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.9086
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+ - Rouge1: 14.1818
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+ - Rouge2: 2.6381
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+ - Rougel: 10.4961
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+ - Rougelsum: 12.8458
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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: 2e-05
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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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+
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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 | 459 | 2.9705 | 13.2225 | 2.4541 | 10.0332 | 11.9703 | 19.0 |
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+ | 3.3543 | 2.0 | 918 | 2.9211 | 13.9672 | 2.601 | 10.3831 | 12.6062 | 19.0 |
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+ | 3.1411 | 3.0 | 1377 | 2.9086 | 14.1818 | 2.6381 | 10.4961 | 12.8458 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.1
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.10.1
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+ - Tokenizers 0.13.2