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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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+ base_model: t5-small
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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: t5-small-enterpret-finetuned
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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-enterpret-finetuned
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3499
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+ - Rouge1: 0.3212
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+ - Rouge2: 0.1859
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+ - Rougel: 0.2925
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+ - Rougelsum: 0.2931
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+ - Gen Len: 18.4938
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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: 16
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+ - eval_batch_size: 16
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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: 4
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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 | 242 | 2.6522 | 0.2714 | 0.1292 | 0.2426 | 0.2432 | 18.0289 |
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+ | No log | 2.0 | 484 | 2.4516 | 0.3076 | 0.1712 | 0.2799 | 0.2804 | 18.4618 |
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+ | 2.9667 | 3.0 | 726 | 2.3734 | 0.3172 | 0.1827 | 0.2891 | 0.2897 | 18.4659 |
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+ | 2.9667 | 4.0 | 968 | 2.3499 | 0.3212 | 0.1859 | 0.2925 | 0.2931 | 18.4938 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3