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End of training

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README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: nan
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- - Rouge1: 17.8569
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- - Rouge2: 9.8781
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- - Rougel: 14.5368
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- - Rougelsum: 17.194
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- - Gen Len: 18.52
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  ## Model description
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@@ -47,23 +47,17 @@ The following hyperparameters were used during training:
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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: 10
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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- | No log | 1.0 | 28 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 2.0 | 56 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 3.0 | 84 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 4.0 | 112 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 5.0 | 140 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 6.0 | 168 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 7.0 | 196 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 8.0 | 224 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 9.0 | 252 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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- | No log | 10.0 | 280 | nan | 17.8569 | 9.8781 | 14.5368 | 17.194 | 18.52 |
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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: nan
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+ - Rouge1: 17.8813
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+ - Rouge2: 10.4453
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+ - Rougel: 15.9723
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+ - Rougelsum: 17.3719
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+ - Gen Len: 18.6
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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 | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | No log | 1.0 | 28 | nan | 17.8813 | 10.4453 | 15.9723 | 17.3719 | 18.6 |
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+ | No log | 2.0 | 56 | nan | 17.8813 | 10.4453 | 15.9723 | 17.3719 | 18.6 |
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+ | No log | 3.0 | 84 | nan | 17.8813 | 10.4453 | 15.9723 | 17.3719 | 18.6 |
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+ | No log | 4.0 | 112 | nan | 17.8813 | 10.4453 | 15.9723 | 17.3719 | 18.6 |
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+ | No log | 5.0 | 140 | nan | 17.8813 | 10.4453 | 15.9723 | 17.3719 | 18.6 |
 
 
 
 
 
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  ### Framework versions
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