josiahgottfried
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End of training
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README.md
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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 hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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 | 0.9351 | 9 | 2.
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| No log | 1.9740 | 19 |
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| No log | 2.9091 | 28 |
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| No log | 3.7403 | 36 |
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### Framework versions
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7407
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- Rouge1: 0.4605
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- Rouge2: 0.2395
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- Rougel: 0.3705
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- Rougelsum: 0.3708
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- Gen Len: 38.2468
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.02
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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 | 0.9351 | 9 | 2.0456 | 0.4419 | 0.2278 | 0.3636 | 0.3641 | 37.7013 |
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| No log | 1.9740 | 19 | 1.8250 | 0.4601 | 0.2424 | 0.3764 | 0.3765 | 38.2597 |
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| No log | 2.9091 | 28 | 1.7724 | 0.4638 | 0.2365 | 0.3724 | 0.372 | 36.5195 |
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| No log | 3.7403 | 36 | 1.7407 | 0.4605 | 0.2395 | 0.3705 | 0.3708 | 38.2468 |
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### Framework versions
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adapter_model.safetensors
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