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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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- 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-train
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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-train
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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: 2.2692
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- Rouge1: 43.5294
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- Rouge2: 20.1218
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- Rougel: 38.2432
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- Rougelsum: 38.5309
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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: 5.6e-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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 2.2002 | 1.0 | 45 | 2.3801 | 39.5927 | 17.56 | 34.8839 | 34.977 |
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| 2.2874 | 2.0 | 90 | 2.3215 | 42.1206 | 19.5707 | 37.4264 | 37.5744 |
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| 2.1849 | 3.0 | 135 | 2.2984 | 42.9145 | 19.909 | 38.037 | 38.2372 |
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| 2.118 | 4.0 | 180 | 2.2840 | 42.8622 | 19.9657 | 37.7942 | 38.0604 |
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| 2.1313 | 5.0 | 225 | 2.2769 | 43.1308 | 19.5776 | 37.7888 | 38.0067 |
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| 2.0853 | 6.0 | 270 | 2.2704 | 43.5864 | 20.101 | 38.1732 | 38.4421 |
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| 2.0429 | 7.0 | 315 | 2.2697 | 43.3193 | 19.9277 | 37.9448 | 38.2164 |
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| 2.0436 | 8.0 | 360 | 2.2692 | 43.5294 | 20.1218 | 38.2432 | 38.5309 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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