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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/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: 2.2332
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- - Rouge1: 6.3927
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- - Rouge2: 1.7293
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- - Rougel: 5.2049
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- - Rougelsum: 6.1098
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- - Gen Len: 19.0
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  ## Model description
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@@ -41,19 +41,21 @@ 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: 5e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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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: 1
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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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- | 2.4607 | 1.0 | 544 | 2.2332 | 6.3927 | 1.7293 | 5.2049 | 6.1098 | 19.0 |
 
 
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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: 2.0883
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+ - Rouge1: 0.3665
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+ - Rouge2: 0.0826
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+ - Rougel: 0.3524
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+ - Bertscore: 0.8322
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+ - Readability: 8.6631
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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: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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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: 3
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bertscore | Readability |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-----------:|
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+ | 2.1756 | 1.0 | 544 | 2.1228 | 0.3665 | 0.0834 | 0.3529 | 0.8339 | 8.6929 |
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+ | 2.1907 | 2.0 | 1088 | 2.0947 | 0.3545 | 0.0804 | 0.3418 | 0.8290 | 8.5141 |
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+ | 2.1566 | 3.0 | 1632 | 2.0883 | 0.3665 | 0.0826 | 0.3524 | 0.8322 | 8.6631 |
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  ### Framework versions
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