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End of training

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README.md CHANGED
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1704
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- - Exact Match: 8.4137
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- - Gen Len: 16.8453
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  ## Model description
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@@ -42,14 +42,16 @@ 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: 1
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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 | Exact Match | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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- | 0.1675 | 1.0 | 1141 | 0.1704 | 8.4137 | 16.8453 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1492
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+ - Exact Match: 0.0
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+ - Gen Len: 15.9479
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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: 3
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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 | Exact Match | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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+ | 0.2068 | 1.0 | 1141 | 0.1869 | 0.0 | 17.2095 |
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+ | 0.1606 | 2.0 | 2282 | 0.1546 | 0.0 | 16.2989 |
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+ | 0.1453 | 3.0 | 3423 | 0.1492 | 0.0 | 15.9479 |
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  ### Framework versions
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