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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 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 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| No log | 1.0 | 63 | 1.
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| No log | 2.0 | 126 | 1.
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4794
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- Rouge1: 0.3292
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- Rouge2: 0.1311
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- Rougel: 0.2767
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- Rougelsum: 0.2770
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| No log | 1.0 | 63 | 1.7278 | 0.3184 | 0.1061 | 0.2644 | 0.2643 |
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| No log | 2.0 | 126 | 1.5746 | 0.3146 | 0.1271 | 0.2676 | 0.2678 |
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| No log | 3.0 | 189 | 1.4806 | 0.3135 | 0.1268 | 0.2764 | 0.2773 |
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| No log | 4.0 | 252 | 1.4676 | 0.3217 | 0.1246 | 0.2700 | 0.2703 |
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| No log | 5.0 | 315 | 1.4794 | 0.3292 | 0.1311 | 0.2767 | 0.2770 |
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### Framework versions
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model.safetensors
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