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anuragrawal
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flan-t5-base-YT-transcript-sum

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
anuragrawal commited on
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End of training

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  1. README.md +20 -20
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ 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-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4118
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- - Rouge1: 25.4884
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- - Rouge2: 12.9544
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- - Rougel: 21.8085
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- - Rougelsum: 23.7402
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  - Gen Len: 19.0
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  ## Model description
@@ -53,21 +53,21 @@ The following hyperparameters were used during training:
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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 | 216 | 1.5856 | 23.6948 | 11.0722 | 20.1382 | 22.2371 | 18.9722 |
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- | No log | 2.0 | 432 | 1.4956 | 23.9099 | 11.6734 | 20.4638 | 22.2083 | 19.0 |
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- | 1.7743 | 3.0 | 648 | 1.4517 | 24.8274 | 12.1689 | 21.0773 | 23.1354 | 19.0 |
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- | 1.7743 | 4.0 | 864 | 1.4334 | 25.0091 | 12.4359 | 21.3687 | 23.3004 | 18.9769 |
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- | 1.4377 | 5.0 | 1080 | 1.4175 | 25.4136 | 12.792 | 21.5903 | 23.5516 | 18.9815 |
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- | 1.4377 | 6.0 | 1296 | 1.4118 | 25.4884 | 12.9544 | 21.8085 | 23.7402 | 19.0 |
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- | 1.2819 | 7.0 | 1512 | 1.4144 | 25.6073 | 13.4263 | 22.1348 | 24.0203 | 19.0 |
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- | 1.2819 | 8.0 | 1728 | 1.4181 | 25.8727 | 13.5153 | 22.2189 | 24.211 | 19.0 |
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- | 1.2819 | 9.0 | 1944 | 1.4174 | 25.8817 | 13.9496 | 22.4955 | 24.3655 | 19.0 |
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- | 1.1716 | 10.0 | 2160 | 1.4193 | 26.2123 | 13.7931 | 22.4856 | 24.6381 | 19.0 |
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- | 1.1716 | 11.0 | 2376 | 1.4188 | 25.7062 | 13.6106 | 22.1476 | 24.1384 | 19.0 |
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- | 1.0947 | 12.0 | 2592 | 1.4243 | 26.0097 | 13.9708 | 22.4699 | 24.4448 | 19.0 |
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- | 1.0947 | 13.0 | 2808 | 1.4307 | 26.0922 | 14.1617 | 22.5681 | 24.513 | 18.9954 |
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- | 1.0566 | 14.0 | 3024 | 1.4311 | 25.9908 | 13.8775 | 22.448 | 24.4268 | 18.9954 |
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- | 1.0566 | 15.0 | 3240 | 1.4347 | 26.1238 | 13.9542 | 22.5653 | 24.5333 | 18.9954 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4111
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+ - Rouge1: 25.4013
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+ - Rouge2: 12.4728
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+ - Rougel: 21.5206
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+ - Rougelsum: 23.6322
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  - Gen Len: 19.0
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  ## Model description
 
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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 | 216 | 1.5817 | 23.8566 | 11.0314 | 20.1664 | 22.2953 | 18.9954 |
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+ | No log | 2.0 | 432 | 1.4907 | 24.2446 | 11.6603 | 20.6712 | 22.4196 | 18.9861 |
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+ | 1.7643 | 3.0 | 648 | 1.4510 | 25.4355 | 12.9236 | 21.584 | 23.7272 | 19.0 |
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+ | 1.7643 | 4.0 | 864 | 1.4312 | 24.8929 | 12.5927 | 21.3295 | 23.3504 | 19.0 |
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+ | 1.4359 | 5.0 | 1080 | 1.4145 | 25.242 | 12.9269 | 21.6351 | 23.6509 | 19.0 |
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+ | 1.4359 | 6.0 | 1296 | 1.4111 | 25.4013 | 12.4728 | 21.5206 | 23.6322 | 19.0 |
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+ | 1.2819 | 7.0 | 1512 | 1.4135 | 25.6542 | 13.103 | 22.2059 | 23.9474 | 19.0 |
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+ | 1.2819 | 8.0 | 1728 | 1.4145 | 26.0783 | 13.7584 | 22.343 | 24.3255 | 19.0 |
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+ | 1.2819 | 9.0 | 1944 | 1.4163 | 25.4385 | 13.1278 | 21.7173 | 23.8295 | 18.9861 |
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+ | 1.1688 | 10.0 | 2160 | 1.4208 | 25.7625 | 13.5586 | 22.2246 | 24.2042 | 19.0 |
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+ | 1.1688 | 11.0 | 2376 | 1.4165 | 25.5482 | 13.1163 | 21.9475 | 23.8181 | 18.9907 |
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+ | 1.0951 | 12.0 | 2592 | 1.4215 | 25.7614 | 13.5565 | 22.1965 | 24.0657 | 19.0 |
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+ | 1.0951 | 13.0 | 2808 | 1.4285 | 26.3345 | 14.2027 | 22.7422 | 24.6261 | 18.9907 |
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+ | 1.0549 | 14.0 | 3024 | 1.4277 | 25.8835 | 13.8044 | 22.3845 | 24.269 | 19.0 |
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+ | 1.0549 | 15.0 | 3240 | 1.4321 | 25.8292 | 13.7231 | 22.3506 | 24.3188 | 19.0 |
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  ### Framework versions
pytorch_model.bin CHANGED
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