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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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+ - 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-model-1-feedback-1109
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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-model-1-feedback-1109
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+
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+ This model is a fine-tuned version of [theojolliffe/T5-model-1-d-6](https://huggingface.co/theojolliffe/T5-model-1-d-6) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2841
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+ - Rouge1: 91.4494
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+ - Rouge2: 86.4303
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+ - Rougel: 89.9713
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+ - Rougelsum: 90.045
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+ - Gen Len: 15.2875
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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: 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: 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 | 359 | 0.3270 | 91.5397 | 86.6427 | 90.0821 | 90.1433 | 15.2875 |
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+ | 0.2963 | 2.0 | 718 | 0.2847 | 91.4494 | 86.4303 | 89.9713 | 90.045 | 15.2875 |
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+ | 0.2697 | 3.0 | 1077 | 0.2841 | 91.4494 | 86.4303 | 89.9713 | 90.045 | 15.2875 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.12.3
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+ - Pytorch 1.9.0
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+ - Datasets 1.18.0
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+ - Tokenizers 0.10.3