End of training
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README.md
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rouge1: 17.
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- Rouge2: 14.
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- Rougel: 17.
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- Rougelsum: 17.
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- Gen Len: 19.0
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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 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 35 | 0.
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### Framework versions
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6886
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- Rouge1: 17.7512
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- Rouge2: 14.0778
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- Rougel: 17.5511
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- Rougelsum: 17.8423
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- Gen Len: 19.0
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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: 5
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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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| No log | 1.0 | 35 | 0.7865 | 17.6714 | 13.9643 | 17.4527 | 17.7337 | 19.0 |
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| No log | 2.0 | 70 | 0.7267 | 17.779 | 14.1399 | 17.5654 | 17.8657 | 19.0 |
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| No log | 3.0 | 105 | 0.6945 | 17.7791 | 14.1224 | 17.6178 | 17.8835 | 19.0 |
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| No log | 4.0 | 140 | 0.6912 | 17.7512 | 14.0778 | 17.5511 | 17.8423 | 19.0 |
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| No log | 5.0 | 175 | 0.6886 | 17.7512 | 14.0778 | 17.5511 | 17.8423 | 19.0 |
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### Framework versions
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