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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.7762
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  ## Model description
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@@ -34,28 +34,33 @@ 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: 2e-05
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- - train_batch_size: 24
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- - eval_batch_size: 24
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 4.5281 | 1.0 | 14 | 4.2174 |
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- | 4.0533 | 2.0 | 28 | 3.9744 |
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- | 3.789 | 3.0 | 42 | 3.8885 |
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- | 3.6531 | 4.0 | 56 | 3.8412 |
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- | 3.4773 | 5.0 | 70 | 3.8131 |
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- | 3.3368 | 6.0 | 84 | 3.7965 |
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- | 3.232 | 7.0 | 98 | 3.7848 |
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- | 3.185 | 8.0 | 112 | 3.7803 |
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- | 3.1228 | 9.0 | 126 | 3.7775 |
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- | 3.1037 | 10.0 | 140 | 3.7762 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.9312
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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: 1e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.7424 | 1.0 | 5 | 5.0220 |
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+ | 4.7253 | 2.0 | 10 | 4.5156 |
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+ | 4.4643 | 3.0 | 15 | 4.3808 |
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+ | 4.3235 | 4.0 | 20 | 4.2740 |
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+ | 4.2015 | 5.0 | 25 | 4.1731 |
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+ | 4.0779 | 6.0 | 30 | 4.0667 |
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+ | 3.9722 | 7.0 | 35 | 4.0160 |
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+ | 3.9136 | 8.0 | 40 | 3.9975 |
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+ | 3.878 | 9.0 | 45 | 3.9820 |
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+ | 3.8465 | 10.0 | 50 | 3.9675 |
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+ | 3.8029 | 11.0 | 55 | 3.9552 |
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+ | 3.7845 | 12.0 | 60 | 3.9454 |
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+ | 3.7639 | 13.0 | 65 | 3.9383 |
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+ | 3.7473 | 14.0 | 70 | 3.9337 |
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+ | 3.7358 | 15.0 | 75 | 3.9312 |
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  ### Framework versions
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