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vishalghor
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t5-small-finetuned-wikisql-sql-nl-nl-sql

Text2Text Generation
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t5
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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: 0.1931
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- - Bleu: 41.8507
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- - Gen Len: 16.5973
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  ## Model description
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@@ -43,22 +43,19 @@ 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: 5
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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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- | 0.2649 | 1.0 | 8097 | 0.2251 | 39.6277 | 16.6655 |
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- | 0.2387 | 2.0 | 16194 | 0.2063 | 40.9063 | 16.6415 |
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- | 0.2217 | 3.0 | 24291 | 0.1982 | 41.5796 | 16.6779 |
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- | 0.2213 | 4.0 | 32388 | 0.1940 | 41.7012 | 16.5994 |
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- | 0.2111 | 5.0 | 40485 | 0.1931 | 41.8507 | 16.5973 |
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  ### Framework versions
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- - Transformers 4.26.1
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  - Pytorch 1.13.1+cu116
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  - Datasets 2.9.0
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  - Tokenizers 0.13.2
 
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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: 0.2194
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+ - Bleu: 40.1315
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+ - Gen Len: 16.7069
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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: 2
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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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+ | 0.2713 | 1.0 | 8097 | 0.2303 | 39.3173 | 16.7176 |
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+ | 0.2549 | 2.0 | 16194 | 0.2194 | 40.1315 | 16.7069 |
 
 
 
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  ### Framework versions
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+ - Transformers 4.27.0.dev0
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  - Pytorch 1.13.1+cu116
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  - Datasets 2.9.0
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  - Tokenizers 0.13.2