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  1. README.md +7 -7
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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9476
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- - Bleu: 18.8732
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- - Gen Len: 28.2253
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  ## Model description
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@@ -46,13 +46,13 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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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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- - training_steps: 5000
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
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- | 2.4878 | 0.0177 | 5000 | 1.9476 | 18.8732 | 28.2253 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9203
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+ - Bleu: 19.1114
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+ - Gen Len: 28.331
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  ## Model description
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  - total_train_batch_size: 16
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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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+ - training_steps: 10000
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
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+ | 1.9517 | 0.2778 | 10000 | 1.9203 | 19.1114 | 28.331 |
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  ### Framework versions