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update model card README.md
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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-small-finetuned-xsum
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results: []
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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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# t5-small-finetuned-xsum
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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: 3.0721
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- Rouge1: 34.9516
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- Rouge2: 9.3338
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- Rougel: 34.6091
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- Rougelsum: 34.4616
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- Gen Len: 13.3913
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 10
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### Training results
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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 | 13 | 3.8350 | 29.7699 | 5.4056 | 25.9435 | 25.8815 | 14.4348 |
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| No log | 2.0 | 26 | 3.6040 | 27.3485 | 5.1158 | 24.686 | 24.7854 | 14.4783 |
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| No log | 3.0 | 39 | 3.4529 | 27.088 | 7.1912 | 24.655 | 25.0123 | 14.7826 |
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| No log | 4.0 | 52 | 3.3426 | 26.3317 | 7.1912 | 25.5923 | 25.6515 | 15.2609 |
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| No log | 5.0 | 65 | 3.2437 | 30.993 | 7.9641 | 30.2998 | 30.4528 | 14.7826 |
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| No log | 6.0 | 78 | 3.1740 | 34.1074 | 9.3338 | 33.551 | 33.4681 | 14.3478 |
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| No log | 7.0 | 91 | 3.1273 | 34.6461 | 9.3338 | 33.639 | 33.5833 | 14.3478 |
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| No log | 8.0 | 104 | 3.0948 | 34.533 | 9.3338 | 33.5859 | 33.4583 | 13.8696 |
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| No log | 9.0 | 117 | 3.0794 | 34.9516 | 9.3338 | 34.6091 | 34.4616 | 13.3913 |
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| No log | 10.0 | 130 | 3.0721 | 34.9516 | 9.3338 | 34.6091 | 34.4616 | 13.3913 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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