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bprateek
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product_description_generator

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

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  1. README.md +17 -11
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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 [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: 4.0241
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- - Rouge1: 0.1639
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  - Rouge2: 0.0
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- - Rougel: 0.1337
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- - Rougelsum: 0.1357
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- - Gen Len: 11.4
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  ## Model description
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@@ -46,22 +46,28 @@ 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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 6 | 4.2311 | 0.1365 | 0.0 | 0.1103 | 0.1102 | 12.1 |
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- | No log | 2.0 | 12 | 4.1437 | 0.1668 | 0.0 | 0.1321 | 0.1332 | 13.2 |
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- | No log | 3.0 | 18 | 4.0572 | 0.143 | 0.0 | 0.1152 | 0.1152 | 11.8 |
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- | No log | 4.0 | 24 | 4.0241 | 0.1639 | 0.0 | 0.1337 | 0.1357 | 11.4 |
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.28.1
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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 [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: 3.3303
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+ - Rouge1: 0.1597
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  - Rouge2: 0.0
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+ - Rougel: 0.1349
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+ - Rougelsum: 0.1334
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+ - Gen Len: 18.7
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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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  - mixed_precision_training: Native AMP
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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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+ | No log | 1.0 | 6 | 3.5039 | 0.185 | 0.0105 | 0.1573 | 0.1576 | 15.7 |
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+ | No log | 2.0 | 12 | 3.4680 | 0.1915 | 0.0105 | 0.1747 | 0.174 | 16.9 |
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+ | No log | 3.0 | 18 | 3.4331 | 0.1579 | 0.0105 | 0.1308 | 0.1282 | 17.4 |
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+ | No log | 4.0 | 24 | 3.4049 | 0.1579 | 0.0105 | 0.1308 | 0.1282 | 17.8 |
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+ | No log | 5.0 | 30 | 3.3817 | 0.1716 | 0.0091 | 0.1476 | 0.1434 | 18.5 |
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+ | No log | 6.0 | 36 | 3.3638 | 0.1323 | 0.0 | 0.1176 | 0.116 | 17.1 |
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+ | No log | 7.0 | 42 | 3.3497 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
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+ | No log | 8.0 | 48 | 3.3394 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
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+ | No log | 9.0 | 54 | 3.3332 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
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+ | No log | 10.0 | 60 | 3.3303 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 |
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  ### Framework versions
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+ - Transformers 4.28.0
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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