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Commit
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t5-base-spanish-yoremnokki

Browse files
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: google-t5/t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-small-spanish-yoremnokki
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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: 2.8387
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- - Bleu: 0.0357
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- - Gen Len: 11.8931
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  ## Model description
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@@ -39,7 +39,7 @@ 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: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -47,17 +47,18 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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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: 4
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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 | Bleu | Gen Len |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
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- | No log | 0.9989 | 463 | 3.1886 | 0.0016 | 11.7323 |
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- | 3.8008 | 2.0 | 927 | 2.9507 | 0.0162 | 11.6761 |
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- | 3.2701 | 2.9989 | 1390 | 2.8636 | 0.0301 | 11.8016 |
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- | 3.125 | 3.9957 | 1852 | 2.8387 | 0.0357 | 11.8931 |
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: google-t5/t5-base
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # t5-small-spanish-yoremnokki
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+ This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8622
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+ - Bleu: 10.7378
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+ - Gen Len: 14.22
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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: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  - total_train_batch_size: 32
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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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  - mixed_precision_training: Native AMP
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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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+ | 3.4879 | 1.0 | 839 | 2.3617 | 0.2661 | 14.6218 |
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+ | 2.4168 | 2.0 | 1678 | 2.0854 | 1.8065 | 14.3043 |
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+ | 2.2109 | 3.0 | 2517 | 1.9512 | 5.2629 | 14.2827 |
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+ | 2.1335 | 4.0 | 3356 | 1.8816 | 9.4622 | 14.23 |
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+ | 2.0758 | 5.0 | 4195 | 1.8622 | 10.7378 | 14.22 |
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  ### Framework versions
config.json CHANGED
@@ -1,12 +1,12 @@
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@@ -18,9 +18,9 @@
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  "model_type": "t5",
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  "dense_act_fn": "relu",
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  "dropout_rate": 0.1,
 
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  "layer_norm_epsilon": 1e-06,
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  "model_type": "t5",
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  "n_positions": 512,
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+ "num_layers": 12,
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  "output_past": true,
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