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update model card README.md

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@@ -14,12 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 2.9035
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- - eval_runtime: 123.5183
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- - eval_samples_per_second: 221.368
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- - eval_steps_per_second: 55.344
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- - epoch: 1.9
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- - step: 117196
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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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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  ### Framework versions
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  - Transformers 4.17.0
 
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  This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8607
 
 
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 6
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+ - eval_batch_size: 6
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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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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:------:|:---------------:|
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+ | 3.1354 | 0.73 | 30000 | 3.0147 |
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+ | 2.9761 | 1.46 | 60000 | 2.9498 |
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+ | 2.897 | 2.19 | 90000 | 2.9019 |
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+ | 2.8292 | 2.93 | 120000 | 2.8792 |
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+ | 2.7774 | 3.66 | 150000 | 2.8738 |
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+ | 2.741 | 4.39 | 180000 | 2.8634 |
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  ### Framework versions
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  - Transformers 4.17.0