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JimmyPin
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mt5-finetuned-summarize

Summarization
Transformers
Safetensors
mt5
text2text-generation
Generated from Trainer
Inference Endpoints
Model card Files Community
JimmyPin commited on
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Training complete

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  1. README.md +22 -22
README.md CHANGED
@@ -43,8 +43,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
@@ -55,26 +55,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | 0.0 | 0.9969 | 317 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 1.9937 | 634 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 2.9906 | 951 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 3.9874 | 1268 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 4.9843 | 1585 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 5.9811 | 1902 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 6.9780 | 2219 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 7.9748 | 2536 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 8.9717 | 2853 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 9.9686 | 3170 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 10.9654 | 3487 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 11.9623 | 3804 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 12.9591 | 4121 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 13.9560 | 4438 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 14.9528 | 4755 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 15.9497 | 5072 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 16.9465 | 5389 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 17.9434 | 5706 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 18.9403 | 6023 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 19.9371 | 6340 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 0.0 | 0.9875 | 79 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 1.975 | 158 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 2.9625 | 237 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 3.95 | 316 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 4.9375 | 395 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 5.925 | 474 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 6.9125 | 553 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 7.9 | 632 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 8.8875 | 711 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 9.875 | 790 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 10.8625 | 869 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 11.85 | 948 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 12.8375 | 1027 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 13.825 | 1106 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 14.8125 | 1185 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 15.8 | 1264 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 16.7875 | 1343 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 17.775 | 1422 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 18.7625 | 1501 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0 | 19.75 | 1580 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions