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README.md
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Rouge1:
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- Rouge2: 4.
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- Rougel:
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- Rougelsum:
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## Model description
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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:
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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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### Framework versions
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8049
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- Rouge1: 15.1241
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- Rouge2: 4.9514
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- Rougel: 11.5019
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- Rougelsum: 13.3079
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## Model description
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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: 7
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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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| 3.2411 | 1.0 | 1250 | 2.8772 | 14.6774 | 4.7697 | 11.335 | 13.0082 |
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| 3.079 | 2.0 | 2500 | 2.8438 | 14.9558 | 4.8748 | 11.4023 | 13.2198 |
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| 3.0257 | 3.0 | 3750 | 2.8240 | 15.133 | 4.9814 | 11.572 | 13.3607 |
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| 2.9903 | 4.0 | 5000 | 2.8153 | 15.1339 | 4.9123 | 11.5038 | 13.3464 |
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| 2.9659 | 5.0 | 6250 | 2.8085 | 15.1134 | 5.0057 | 11.5478 | 13.3483 |
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| 2.9461 | 6.0 | 7500 | 2.8066 | 15.154 | 4.9641 | 11.5276 | 13.3523 |
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| 2.936 | 7.0 | 8750 | 2.8049 | 15.1241 | 4.9514 | 11.5019 | 13.3079 |
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### Framework versions
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