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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: 2.2669 |
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- Rouge1: 43.2372 |
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- Rouge2: 21.6755 |
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- Rougel: 38.1637 |
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- Rougelsum: 38.5444 |
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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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| 3.2032 | 1.0 | 45 | 2.6305 | 34.393 | 15.4821 | 30.3601 | 30.5865 | |
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| 2.6291 | 2.0 | 90 | 2.4169 | 38.2327 | 18.4622 | 34.2887 | 34.3385 | |
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| 2.4294 | 3.0 | 135 | 2.3395 | 40.4405 | 19.927 | 36.559 | 36.8095 | |
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| 2.3191 | 4.0 | 180 | 2.3059 | 41.4214 | 20.4534 | 36.6399 | 36.9088 | |
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| 2.2949 | 5.0 | 225 | 2.2857 | 42.6906 | 21.1492 | 37.5557 | 37.8722 | |
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| 2.2591 | 6.0 | 270 | 2.2762 | 43.1598 | 21.6179 | 38.1235 | 38.5053 | |
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| 2.1722 | 7.0 | 315 | 2.2680 | 43.4447 | 21.8048 | 38.4077 | 38.7384 | |
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| 2.1993 | 8.0 | 360 | 2.2669 | 43.2372 | 21.6755 | 38.1637 | 38.5444 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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