bart_summarisation
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README.md
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This model is a fine-tuned version of [MeetK/bart_summarisation](https://huggingface.co/MeetK/bart_summarisation) on the None 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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- Gen Len:
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## Model description
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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 | 313 | 1.
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| 1.
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### Framework versions
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This model is a fine-tuned version of [MeetK/bart_summarisation](https://huggingface.co/MeetK/bart_summarisation) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7168
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- Rouge1: 0.3288
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- Rouge2: 0.1335
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- Rougel: 0.2493
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- Rougelsum: 0.2495
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- Gen Len: 61.398
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## Model description
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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 | 313 | 1.6942 | 0.3296 | 0.1385 | 0.2507 | 0.2507 | 60.888 |
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| 1.4988 | 2.0 | 626 | 1.7168 | 0.3288 | 0.1335 | 0.2493 | 0.2495 | 61.398 |
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### Framework versions
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model.safetensors
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size 1625426996
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