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t5-abs-1709-1203-lr-0.0001-bs-10-maxep-20

Safetensors
t5
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  1. README.md +26 -26
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,16 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0493
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- - Rouge/rouge1: 0.4186
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- - Rouge/rouge2: 0.188
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- - Rouge/rougel: 0.3713
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- - Rouge/rougelsum: 0.3708
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- - Bertscore/bertscore-precision: 0.9077
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- - Bertscore/bertscore-recall: 0.8772
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- - Bertscore/bertscore-f1: 0.8921
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- - Meteor: 0.338
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- - Gen Len: 31.5
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  ## Model description
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@@ -59,22 +59,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge/rouge1 | Rouge/rouge2 | Rouge/rougel | Rouge/rougelsum | Bertscore/bertscore-precision | Bertscore/bertscore-recall | Bertscore/bertscore-f1 | Meteor | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-----------------------------:|:--------------------------:|:----------------------:|:------:|:-------:|
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- | 4.4242 | 0.8 | 2 | 2.9745 | 0.24 | 0.0922 | 0.1926 | 0.1916 | 0.8591 | 0.8535 | 0.8562 | 0.1759 | 42.0 |
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- | 2.7301 | 2.0 | 5 | 2.5893 | 0.2451 | 0.074 | 0.2114 | 0.2133 | 0.8517 | 0.8543 | 0.8526 | 0.1844 | 42.4 |
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- | 3.7041 | 2.8 | 7 | 2.3562 | 0.3045 | 0.114 | 0.2614 | 0.2633 | 0.8785 | 0.8587 | 0.8683 | 0.2344 | 36.2 |
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- | 2.2169 | 4.0 | 10 | 2.2206 | 0.3076 | 0.1129 | 0.2568 | 0.2569 | 0.9027 | 0.8623 | 0.8819 | 0.2244 | 25.4 |
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- | 3.0954 | 4.8 | 12 | 2.1692 | 0.3291 | 0.1429 | 0.2855 | 0.2857 | 0.9089 | 0.8684 | 0.8881 | 0.2405 | 24.1 |
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- | 1.8983 | 6.0 | 15 | 2.1128 | 0.3455 | 0.1237 | 0.2864 | 0.2872 | 0.9022 | 0.8674 | 0.8843 | 0.2511 | 25.2 |
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- | 2.6884 | 6.8 | 17 | 2.0867 | 0.3451 | 0.1133 | 0.2873 | 0.2881 | 0.9021 | 0.8683 | 0.8847 | 0.2509 | 27.1 |
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- | 1.7137 | 8.0 | 20 | 2.0663 | 0.3424 | 0.1218 | 0.2932 | 0.2945 | 0.8963 | 0.8711 | 0.8833 | 0.2819 | 31.1 |
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- | 2.4552 | 8.8 | 22 | 2.0603 | 0.3491 | 0.1272 | 0.2932 | 0.2948 | 0.8975 | 0.8714 | 0.884 | 0.2834 | 30.6 |
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- | 1.5859 | 10.0 | 25 | 2.0565 | 0.3502 | 0.1207 | 0.2962 | 0.2979 | 0.8952 | 0.8675 | 0.8809 | 0.2635 | 29.8 |
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- | 2.2768 | 10.8 | 27 | 2.0558 | 0.3606 | 0.1253 | 0.3021 | 0.3031 | 0.8951 | 0.8683 | 0.8813 | 0.2725 | 30.4 |
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- | 1.4516 | 12.0 | 30 | 2.0541 | 0.4032 | 0.1573 | 0.3355 | 0.3358 | 0.9024 | 0.8744 | 0.8881 | 0.3035 | 32.3 |
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- | 2.1365 | 12.8 | 32 | 2.0514 | 0.4087 | 0.1714 | 0.3445 | 0.3448 | 0.9038 | 0.8749 | 0.889 | 0.32 | 32.8 |
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- | 1.4049 | 14.0 | 35 | 2.0507 | 0.4167 | 0.1792 | 0.3515 | 0.3524 | 0.9065 | 0.8765 | 0.8911 | 0.3222 | 31.9 |
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- | 2.0878 | 14.8 | 37 | 2.0498 | 0.4167 | 0.1792 | 0.3515 | 0.3524 | 0.9065 | 0.8765 | 0.8911 | 0.3222 | 31.9 |
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- | 1.361 | 16.0 | 40 | 2.0493 | 0.4186 | 0.188 | 0.3713 | 0.3708 | 0.9077 | 0.8772 | 0.8921 | 0.338 | 31.5 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3944
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+ - Rouge/rouge1: 0.4206
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+ - Rouge/rouge2: 0.162
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+ - Rouge/rougel: 0.33
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+ - Rouge/rougelsum: 0.3303
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+ - Bertscore/bertscore-precision: 0.8957
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+ - Bertscore/bertscore-recall: 0.8758
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+ - Bertscore/bertscore-f1: 0.8855
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+ - Meteor: 0.3203
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+ - Gen Len: 34.9
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge/rouge1 | Rouge/rouge2 | Rouge/rougel | Rouge/rougelsum | Bertscore/bertscore-precision | Bertscore/bertscore-recall | Bertscore/bertscore-f1 | Meteor | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-----------------------------:|:--------------------------:|:----------------------:|:------:|:-------:|
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+ | 1.9289 | 0.8 | 2 | 2.0526 | 0.4186 | 0.188 | 0.3713 | 0.3708 | 0.9077 | 0.8772 | 0.8921 | 0.338 | 31.5 |
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+ | 1.2808 | 2.0 | 5 | 2.0627 | 0.4127 | 0.1942 | 0.3695 | 0.3702 | 0.9053 | 0.8756 | 0.89 | 0.3277 | 30.6 |
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+ | 1.7019 | 2.8 | 7 | 2.0780 | 0.4156 | 0.1796 | 0.3544 | 0.354 | 0.9035 | 0.8741 | 0.8884 | 0.3306 | 30.7 |
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+ | 1.05 | 4.0 | 10 | 2.1041 | 0.3644 | 0.1342 | 0.3099 | 0.3086 | 0.8947 | 0.871 | 0.8825 | 0.2859 | 32.7 |
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+ | 1.4533 | 4.8 | 12 | 2.1367 | 0.3557 | 0.12 | 0.2873 | 0.2883 | 0.8883 | 0.868 | 0.8779 | 0.2659 | 33.5 |
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+ | 0.8959 | 6.0 | 15 | 2.2072 | 0.413 | 0.1484 | 0.3224 | 0.3221 | 0.8934 | 0.8744 | 0.8836 | 0.3015 | 34.3 |
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+ | 1.2858 | 6.8 | 17 | 2.2363 | 0.3801 | 0.1284 | 0.2942 | 0.2948 | 0.8881 | 0.8696 | 0.8786 | 0.2635 | 34.8 |
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+ | 0.819 | 8.0 | 20 | 2.2531 | 0.4042 | 0.1592 | 0.3155 | 0.3165 | 0.8941 | 0.8739 | 0.8837 | 0.3198 | 35.8 |
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+ | 1.1514 | 8.8 | 22 | 2.2739 | 0.394 | 0.1581 | 0.3193 | 0.321 | 0.8944 | 0.8739 | 0.8838 | 0.312 | 33.0 |
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+ | 0.7579 | 10.0 | 25 | 2.3118 | 0.4277 | 0.1766 | 0.3409 | 0.3425 | 0.8992 | 0.8767 | 0.8876 | 0.3405 | 35.2 |
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+ | 1.1033 | 10.8 | 27 | 2.3370 | 0.422 | 0.1704 | 0.3423 | 0.3439 | 0.8972 | 0.8761 | 0.8864 | 0.3399 | 35.9 |
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+ | 0.6976 | 12.0 | 30 | 2.3617 | 0.4205 | 0.1703 | 0.3281 | 0.3285 | 0.8974 | 0.8755 | 0.8861 | 0.3227 | 35.5 |
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+ | 1.0212 | 12.8 | 32 | 2.3656 | 0.4179 | 0.1651 | 0.3234 | 0.3225 | 0.8974 | 0.8756 | 0.8861 | 0.3215 | 35.3 |
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+ | 0.6757 | 14.0 | 35 | 2.3826 | 0.4187 | 0.1615 | 0.3282 | 0.3278 | 0.8962 | 0.8761 | 0.8859 | 0.32 | 35.2 |
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+ | 1.0276 | 14.8 | 37 | 2.3884 | 0.4206 | 0.162 | 0.33 | 0.3303 | 0.8957 | 0.8758 | 0.8855 | 0.3203 | 34.9 |
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+ | 0.6742 | 16.0 | 40 | 2.3944 | 0.4206 | 0.162 | 0.33 | 0.3303 | 0.8957 | 0.8758 | 0.8855 | 0.3203 | 34.9 |
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  ### Framework versions
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