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update model card README.md

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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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- datasets:
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- - paws-x
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  model-index:
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  - name: paraphraser-spanish-t5-base
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  results: []
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  # paraphraser-spanish-t5-base
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- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7784
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  ## Model description
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@@ -41,16 +39,26 @@ 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: 2
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.5494 | 0.46 | 2000 | 0.8110 |
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- | 0.5073 | 0.92 | 4000 | 0.7924 |
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- | 0.4884 | 1.37 | 6000 | 0.7812 |
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- | 0.4875 | 1.83 | 8000 | 0.7784 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: paraphraser-spanish-t5-base
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  results: []
 
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  # paraphraser-spanish-t5-base
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+ This model is a fine-tuned version of [milyiyo/paraphraser-spanish-t5-base](https://huggingface.co/milyiyo/paraphraser-spanish-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7572
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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: 1
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.1212 | 0.07 | 2000 | 0.8120 |
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+ | 1.2263 | 0.14 | 4000 | 0.7773 |
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+ | 1.1976 | 0.21 | 6000 | 0.7745 |
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+ | 1.1828 | 0.28 | 8000 | 0.7675 |
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+ | 1.1399 | 0.35 | 10000 | 0.7668 |
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+ | 1.1378 | 0.42 | 12000 | 0.7651 |
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+ | 1.1035 | 0.5 | 14000 | 0.7644 |
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+ | 1.0923 | 0.57 | 16000 | 0.7633 |
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+ | 1.0924 | 0.64 | 18000 | 0.7594 |
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+ | 1.0943 | 0.71 | 20000 | 0.7578 |
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+ | 1.0872 | 0.78 | 22000 | 0.7575 |
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+ | 1.0755 | 0.85 | 24000 | 0.7599 |
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+ | 1.0806 | 0.92 | 26000 | 0.7558 |
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+ | 1.079 | 0.99 | 28000 | 0.7572 |
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  ### Framework versions