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t5-base-spanish-yoremnokki

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t5-base-spanish-yoremnokki

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  1. README.md +16 -15
  2. model.safetensors +1 -1
  3. runs/Nov08_02-29-12_a489827e0c40/events.out.tfevents.1731032955.a489827e0c40.1660.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -7,20 +7,20 @@ tags:
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  metrics:
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  - bleu
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  model-index:
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- - name: t5-small-spanish-yoremnokki
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  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-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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@@ -47,23 +47,24 @@ 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: 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
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  - Transformers 4.44.2
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- - Pytorch 2.4.1+cu121
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- - Datasets 3.0.1
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  - Tokenizers 0.19.1
 
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  metrics:
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  - bleu
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  model-index:
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+ - name: t5-base-spanish-yoremnokki
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # t5-base-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: 1.7824
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+ - Bleu: 12.9294
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+ - Gen Len: 14.0092
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  ## Model description
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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: 6
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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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+ | 3.4916 | 0.9994 | 846 | 2.3536 | 0.21 | 14.4369 |
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+ | 2.4194 | 2.0 | 1693 | 2.0655 | 2.0366 | 13.9808 |
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+ | 2.1821 | 2.9994 | 2539 | 1.9102 | 7.286 | 14.0406 |
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+ | 2.1132 | 4.0 | 3386 | 1.8290 | 12.0392 | 14.003 |
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+ | 2.0125 | 4.9994 | 4232 | 1.7935 | 12.8393 | 14.01 |
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+ | 1.9896 | 5.9965 | 5076 | 1.7824 | 12.9294 | 14.0092 |
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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  - Tokenizers 0.19.1
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