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duarteocarmo
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flan-t5-small-tigger

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

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@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1549
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- - Rouge1: 17.5468
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- - Rouge2: 10.1476
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- - Rougel: 17.4231
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- - Rougelsum: 17.4344
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- - Gen Len: 16.6461
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  ## Model description
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@@ -46,22 +46,21 @@ 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | 2.4678 | 1.0 | 1800 | 2.2583 | 19.1824 | 13.4043 | 19.1866 | 19.1587 | 10.7492 |
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- | 2.3099 | 2.0 | 3600 | 2.1954 | 17.3144 | 10.368 | 17.1994 | 17.2103 | 15.2175 |
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- | 2.2551 | 3.0 | 5400 | 2.1692 | 17.8406 | 10.6106 | 17.7207 | 17.7554 | 16.9789 |
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- | 2.2125 | 4.0 | 7200 | 2.1569 | 17.5768 | 10.199 | 17.4462 | 17.4731 | 16.4942 |
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- | 2.1944 | 5.0 | 9000 | 2.1549 | 17.5468 | 10.1476 | 17.4231 | 17.4344 | 16.6461 |
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  ### Framework versions
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  - Transformers 4.29.1
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- - Pytorch 2.0.0+cu118
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1738
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+ - Rouge1: 17.6332
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+ - Rouge2: 10.2475
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+ - Rougel: 17.5233
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+ - Rougelsum: 17.5252
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+ - Gen Len: 16.59
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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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 2.469 | 1.0 | 1800 | 2.2623 | 19.2526 | 13.4607 | 19.2285 | 19.2089 | 10.9481 |
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+ | 2.3176 | 2.0 | 3600 | 2.2014 | 17.1109 | 10.2435 | 17.0312 | 17.0412 | 15.6308 |
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+ | 2.264 | 3.0 | 5400 | 2.1789 | 17.5631 | 10.4188 | 17.428 | 17.4439 | 16.7186 |
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+ | 2.231 | 4.0 | 7200 | 2.1738 | 17.6332 | 10.2475 | 17.5233 | 17.5252 | 16.59 |
 
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  ### Framework versions
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  - Transformers 4.29.1
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+ - Pytorch 2.0.0
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3