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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-epoch15-finetuned-epoch30
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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-epoch15-finetuned-epoch30
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This model is a fine-tuned version of [Seungjun/t5-small-finetuned-epoch15](https://huggingface.co/Seungjun/t5-small-finetuned-epoch15) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4083
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- Rouge1: 31.0064
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- Rouge2: 19.0446
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- Rougel: 27.7086
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- Rougelsum: 29.5158
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- Gen Len: 18.9941
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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: 15
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- mixed_precision_training: Native AMP
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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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| 1.6224 | 1.0 | 765 | 1.4499 | 30.3772 | 18.075 | 26.941 | 28.8424 | 18.9915 |
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| 1.586 | 2.0 | 1530 | 1.4403 | 30.4972 | 18.3407 | 27.1242 | 29.0417 | 18.9908 |
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| 1.5684 | 3.0 | 2295 | 1.4323 | 30.6617 | 18.4827 | 27.2642 | 29.2175 | 18.9921 |
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| 1.5622 | 4.0 | 3060 | 1.4300 | 30.7155 | 18.5604 | 27.3201 | 29.2191 | 18.9941 |
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| 1.5447 | 5.0 | 3825 | 1.4229 | 30.7883 | 18.7051 | 27.379 | 29.2824 | 18.9941 |
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| 1.5382 | 6.0 | 4590 | 1.4199 | 30.7555 | 18.7235 | 27.4249 | 29.2612 | 18.9941 |
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| 1.5303 | 7.0 | 5355 | 1.4187 | 30.7818 | 18.773 | 27.4232 | 29.2896 | 18.9941 |
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| 1.5225 | 8.0 | 6120 | 1.4149 | 30.8854 | 18.8302 | 27.5499 | 29.3993 | 18.9941 |
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| 1.5197 | 9.0 | 6885 | 1.4143 | 30.9201 | 18.863 | 27.5918 | 29.4395 | 18.9941 |
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| 1.5123 | 10.0 | 7650 | 1.4119 | 30.9469 | 18.9403 | 27.6186 | 29.4314 | 18.9941 |
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| 1.5209 | 11.0 | 8415 | 1.4107 | 30.9685 | 18.9431 | 27.6189 | 29.4673 | 18.9941 |
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| 1.5091 | 12.0 | 9180 | 1.4095 | 30.9249 | 18.9679 | 27.6257 | 29.4341 | 18.9941 |
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| 1.4998 | 13.0 | 9945 | 1.4091 | 30.9911 | 19.0416 | 27.695 | 29.4991 | 18.9941 |
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| 1.505 | 14.0 | 10710 | 1.4085 | 30.9942 | 19.0321 | 27.6999 | 29.5025 | 18.9941 |
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| 1.4965 | 15.0 | 11475 | 1.4083 | 31.0064 | 19.0446 | 27.7086 | 29.5158 | 18.9941 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Tokenizers 0.13.2
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