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# led-finetuned-meetings
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
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## Model description
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.28.1
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# led-finetuned-meetings
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2191
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- Rouge2 Precision: 0.141
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- Rouge2 Recall: 0.1886
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- Rouge2 Fmeasure: 0.1541
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## Model description
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 1.964 | 0.63 | 20 | 2.2191 | 0.141 | 0.1886 | 0.1541 |
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### Framework versions
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- Transformers 4.28.1
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