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long-t5-local-base-finetuned-justification-v02

Text2Text Generation
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Safetensors
longt5
generated_from_trainer
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End of training

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  1. README.md +55 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/long-t5-local-base](https://huggingface.co/google/long-t5-local-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0590
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  ## Model description
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@@ -40,20 +40,67 @@ 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: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 5.4497 | 1.0 | 676 | 2.3581 |
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- | 1.9228 | 2.0 | 1352 | 2.1109 |
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- | 1.6578 | 3.0 | 2028 | 2.0590 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.38.2
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [google/long-t5-local-base](https://huggingface.co/google/long-t5-local-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2775
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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: 50
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 6.0497 | 1.0 | 676 | 2.2283 |
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+ | 1.811 | 2.0 | 1352 | 1.9126 |
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+ | 1.4433 | 3.0 | 2028 | 1.7826 |
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+ | 1.3989 | 4.0 | 2704 | 1.6820 |
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+ | 1.3378 | 5.0 | 3380 | 1.6180 |
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+ | 1.26 | 6.0 | 4056 | 1.5683 |
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+ | 1.2133 | 7.0 | 4732 | 1.5377 |
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+ | 1.185 | 8.0 | 5408 | 1.4941 |
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+ | 1.155 | 9.0 | 6084 | 1.4668 |
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+ | 1.1085 | 10.0 | 6760 | 1.4391 |
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+ | 1.154 | 11.0 | 7436 | 1.4168 |
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+ | 1.0465 | 12.0 | 8112 | 1.3928 |
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+ | 1.035 | 13.0 | 8788 | 1.3739 |
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+ | 1.0478 | 14.0 | 9464 | 1.3731 |
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+ | 0.9639 | 15.0 | 10140 | 1.3544 |
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+ | 0.988 | 16.0 | 10816 | 1.3440 |
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+ | 0.9586 | 17.0 | 11492 | 1.3308 |
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+ | 0.9125 | 18.0 | 12168 | 1.3297 |
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+ | 0.9782 | 19.0 | 12844 | 1.3204 |
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+ | 0.9121 | 20.0 | 13520 | 1.3122 |
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+ | 0.9173 | 21.0 | 14196 | 1.3080 |
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+ | 0.8898 | 22.0 | 14872 | 1.2981 |
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+ | 0.8791 | 23.0 | 15548 | 1.2953 |
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+ | 0.899 | 24.0 | 16224 | 1.3028 |
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+ | 0.8537 | 25.0 | 16900 | 1.2898 |
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+ | 0.8808 | 26.0 | 17576 | 1.2864 |
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+ | 0.8557 | 27.0 | 18252 | 1.2777 |
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+ | 0.8132 | 28.0 | 18928 | 1.2797 |
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+ | 0.8439 | 29.0 | 19604 | 1.2806 |
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+ | 0.8313 | 30.0 | 20280 | 1.2821 |
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+ | 0.8225 | 31.0 | 20956 | 1.2848 |
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+ | 0.8364 | 32.0 | 21632 | 1.2806 |
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+ | 0.7918 | 33.0 | 22308 | 1.2758 |
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+ | 0.7988 | 34.0 | 22984 | 1.2761 |
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+ | 0.8262 | 35.0 | 23660 | 1.2757 |
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+ | 0.7876 | 36.0 | 24336 | 1.2783 |
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+ | 0.7981 | 37.0 | 25012 | 1.2734 |
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+ | 0.8019 | 38.0 | 25688 | 1.2783 |
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+ | 0.7482 | 39.0 | 26364 | 1.2745 |
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+ | 0.7558 | 40.0 | 27040 | 1.2724 |
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+ | 0.7691 | 41.0 | 27716 | 1.2721 |
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+ | 0.762 | 42.0 | 28392 | 1.2739 |
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+ | 0.7942 | 43.0 | 29068 | 1.2748 |
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+ | 0.7577 | 44.0 | 29744 | 1.2769 |
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+ | 0.7386 | 45.0 | 30420 | 1.2765 |
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+ | 0.7519 | 46.0 | 31096 | 1.2770 |
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+ | 0.7614 | 47.0 | 31772 | 1.2779 |
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+ | 0.7578 | 48.0 | 32448 | 1.2761 |
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+ | 0.7666 | 49.0 | 33124 | 1.2771 |
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+ | 0.7692 | 50.0 | 33800 | 1.2775 |
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  ### Framework versions
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  - Transformers 4.38.2
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+ - Pytorch 2.2.2+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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