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t5-small-finetuned-en-to-pt

Text2Text Generation
Transformers
PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
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update model card README.md

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@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4025
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- - Bleu: 5.1591
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- - Gen Len: 18.6818
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  ## Model description
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@@ -43,23 +43,27 @@ 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: 1
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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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- | 0.6566 | 0.16 | 1000 | 0.5401 | 3.797 | 18.6912 |
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- | 0.5868 | 0.32 | 2000 | 0.4865 | 4.3681 | 18.6722 |
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- | 0.5369 | 0.48 | 3000 | 0.4504 | 4.6045 | 18.6858 |
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- | 0.5055 | 0.64 | 4000 | 0.4240 | 4.9816 | 18.6754 |
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- | 0.4693 | 0.8 | 5000 | 0.4058 | 5.1477 | 18.6782 |
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- | 0.4631 | 0.96 | 6000 | 0.4025 | 5.1591 | 18.6818 |
 
 
 
 
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  ### Framework versions
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  - Transformers 4.15.0
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  - Pytorch 1.10.0+cu111
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- - Datasets 1.17.0
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  - Tokenizers 0.10.3
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3295
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+ - Bleu: 5.6807
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+ - Gen Len: 18.6772
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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: 10
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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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+ | 0.5787 | 1.0 | 6250 | 0.4928 | 4.1007 | 18.638 |
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+ | 0.5089 | 2.0 | 12500 | 0.4463 | 4.3492 | 18.663 |
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+ | 0.4652 | 3.0 | 18750 | 0.4215 | 4.68 | 18.6652 |
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+ | 0.4353 | 4.0 | 25000 | 0.3980 | 4.8172 | 18.6708 |
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+ | 0.4042 | 5.0 | 31250 | 0.3799 | 4.9719 | 18.6514 |
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+ | 0.3734 | 6.0 | 37500 | 0.3676 | 5.2226 | 18.6572 |
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+ | 0.3396 | 7.0 | 43750 | 0.3513 | 5.2693 | 18.6596 |
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+ | 0.308 | 8.0 | 50000 | 0.3400 | 5.4546 | 18.676 |
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+ | 0.2767 | 9.0 | 56250 | 0.3331 | 5.5649 | 18.6708 |
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+ | 0.2424 | 10.0 | 62500 | 0.3295 | 5.6807 | 18.6772 |
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  ### Framework versions
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  - Transformers 4.15.0
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  - Pytorch 1.10.0+cu111
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+ - Datasets 1.18.0
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  - Tokenizers 0.10.3