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End of training

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README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.9685
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- - Rouge1: 0.2897
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- - Rouge2: 0.1124
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- - Rougel: 0.2136
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- - Rougelsum: 0.2134
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- - Gen Len: 86.4805
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  ## Model description
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@@ -41,7 +41,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
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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 | 2.9684 | 0.2897 | 0.1124 | 0.2136 | 0.2134 | 86.4805 |
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- | No log | 1.9740 | 19 | 2.9684 | 0.2897 | 0.1124 | 0.2136 | 0.2134 | 86.4805 |
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- | No log | 2.9091 | 28 | 2.9685 | 0.2897 | 0.1124 | 0.2136 | 0.2134 | 86.4805 |
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- | No log | 3.7403 | 36 | 2.9685 | 0.2897 | 0.1124 | 0.2136 | 0.2134 | 86.4805 |
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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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