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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: 2.2589
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- Rouge1: 43.1462
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- Rouge2: 20.2003
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- Rougel: 37.2256
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- Rougelsum: 37.7491
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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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| 3.1738 | 1.0 | 45 | 2.6267 | 34.8542 | 14.7593 | 29.9782 | 30.6298 |
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| 2.6398 | 2.0 | 90 | 2.4201 | 38.2276 | 16.8995 | 33.8005 | 34.1779 |
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| 2.4631 | 3.0 | 135 | 2.3275 | 40.3451 | 18.0124 | 35.2156 | 35.7063 |
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| 2.3377 | 4.0 | 180 | 2.2937 | 41.8988 | 18.8153 | 36.0159 | 36.5891 |
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| 2.2943 | 5.0 | 225 | 2.2786 | 43.2743 | 20.1419 | 37.261 | 37.8233 |
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| 2.2183 | 6.0 | 270 | 2.2653 | 42.6978 | 19.3844 | 36.512 | 37.0261 |
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| 2.2127 | 7.0 | 315 | 2.2600 | 43.2684 | 20.0259 | 37.1756 | 37.6875 |
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| 2.1962 | 8.0 | 360 | 2.2589 | 43.1462 | 20.2003 | 37.2256 | 37.7491 |
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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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