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Beck90
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mt5-amharic-antonym

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mt5
text2text-generation
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End of training

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  1. README.md +92 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 12.0311
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  ## Model description
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@@ -41,27 +41,102 @@ 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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 47.918 | 1.0 | 60 | 38.3330 |
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- | 40.2943 | 2.0 | 120 | 27.6096 |
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- | 34.4622 | 3.0 | 180 | 22.3320 |
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- | 32.0208 | 4.0 | 240 | 19.9857 |
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- | 29.1126 | 5.0 | 300 | 17.8354 |
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- | 26.4962 | 6.0 | 360 | 16.1180 |
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- | 24.9211 | 7.0 | 420 | 15.0172 |
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- | 23.5472 | 8.0 | 480 | 14.3574 |
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- | 22.2333 | 9.0 | 540 | 13.6512 |
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- | 20.9453 | 10.0 | 600 | 13.2603 |
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- | 20.1657 | 11.0 | 660 | 12.9213 |
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- | 19.6012 | 12.0 | 720 | 12.5839 |
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- | 19.6056 | 13.0 | 780 | 12.2716 |
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- | 19.2069 | 14.0 | 840 | 12.0760 |
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- | 18.8685 | 15.0 | 900 | 12.0311 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5822
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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: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 48.1602 | 1.0 | 60 | 39.0911 |
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+ | 39.8397 | 2.0 | 120 | 28.2010 |
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+ | 33.5322 | 3.0 | 180 | 22.2332 |
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+ | 29.7329 | 4.0 | 240 | 18.5160 |
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+ | 26.4591 | 5.0 | 300 | 16.6270 |
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+ | 23.7199 | 6.0 | 360 | 14.9033 |
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+ | 21.4338 | 7.0 | 420 | 13.3966 |
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+ | 19.4494 | 8.0 | 480 | 12.1507 |
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+ | 17.5813 | 9.0 | 540 | 11.0042 |
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+ | 15.385 | 10.0 | 600 | 9.7896 |
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+ | 14.1214 | 11.0 | 660 | 8.7964 |
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+ | 12.824 | 12.0 | 720 | 7.9328 |
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+ | 11.4696 | 13.0 | 780 | 7.1627 |
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+ | 10.2074 | 14.0 | 840 | 6.4906 |
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+ | 9.0975 | 15.0 | 900 | 5.9028 |
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+ | 8.3801 | 16.0 | 960 | 5.3529 |
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+ | 7.7496 | 17.0 | 1020 | 4.9146 |
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+ | 6.7216 | 18.0 | 1080 | 4.4308 |
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+ | 6.2098 | 19.0 | 1140 | 3.9412 |
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+ | 5.4955 | 20.0 | 1200 | 3.4992 |
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+ | 5.0123 | 21.0 | 1260 | 3.1167 |
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+ | 4.3249 | 22.0 | 1320 | 2.7577 |
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+ | 3.7474 | 23.0 | 1380 | 2.3593 |
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+ | 3.3065 | 24.0 | 1440 | 2.0139 |
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+ | 2.901 | 25.0 | 1500 | 1.6806 |
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+ | 2.4941 | 26.0 | 1560 | 1.5083 |
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+ | 2.2495 | 27.0 | 1620 | 1.3519 |
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+ | 2.1328 | 28.0 | 1680 | 1.2387 |
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+ | 1.9432 | 29.0 | 1740 | 1.1626 |
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+ | 1.7885 | 30.0 | 1800 | 1.0925 |
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+ | 1.6632 | 31.0 | 1860 | 1.0438 |
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+ | 1.5964 | 32.0 | 1920 | 1.0213 |
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+ | 1.4927 | 33.0 | 1980 | 0.9974 |
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+ | 1.443 | 34.0 | 2040 | 0.9755 |
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+ | 1.4459 | 35.0 | 2100 | 0.9626 |
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+ | 1.4127 | 36.0 | 2160 | 0.9419 |
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+ | 1.3008 | 37.0 | 2220 | 0.9232 |
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+ | 1.3198 | 38.0 | 2280 | 0.9001 |
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+ | 1.2208 | 39.0 | 2340 | 0.8826 |
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+ | 1.2165 | 40.0 | 2400 | 0.8694 |
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+ | 1.2188 | 41.0 | 2460 | 0.8589 |
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+ | 1.1627 | 42.0 | 2520 | 0.8427 |
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+ | 1.155 | 43.0 | 2580 | 0.8290 |
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+ | 1.069 | 44.0 | 2640 | 0.8145 |
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+ | 1.0762 | 45.0 | 2700 | 0.8038 |
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+ | 1.0239 | 46.0 | 2760 | 0.7905 |
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+ | 1.0317 | 47.0 | 2820 | 0.7829 |
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+ | 1.0047 | 48.0 | 2880 | 0.7727 |
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+ | 0.9471 | 49.0 | 2940 | 0.7634 |
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+ | 0.9366 | 50.0 | 3000 | 0.7542 |
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+ | 0.9635 | 51.0 | 3060 | 0.7464 |
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+ | 0.8958 | 52.0 | 3120 | 0.7378 |
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+ | 0.9107 | 53.0 | 3180 | 0.7269 |
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+ | 0.8582 | 54.0 | 3240 | 0.7168 |
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+ | 0.8749 | 55.0 | 3300 | 0.7082 |
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+ | 0.8661 | 56.0 | 3360 | 0.6979 |
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+ | 0.838 | 57.0 | 3420 | 0.6865 |
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+ | 0.8453 | 58.0 | 3480 | 0.6786 |
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+ | 0.8125 | 59.0 | 3540 | 0.6671 |
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+ | 0.8392 | 60.0 | 3600 | 0.6605 |
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+ | 0.8039 | 61.0 | 3660 | 0.6539 |
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+ | 0.7836 | 62.0 | 3720 | 0.6474 |
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+ | 0.8213 | 63.0 | 3780 | 0.6412 |
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+ | 0.8254 | 64.0 | 3840 | 0.6374 |
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+ | 0.817 | 65.0 | 3900 | 0.6325 |
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+ | 0.8193 | 66.0 | 3960 | 0.6288 |
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+ | 0.7962 | 67.0 | 4020 | 0.6231 |
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+ | 0.7844 | 68.0 | 4080 | 0.6178 |
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+ | 0.7597 | 69.0 | 4140 | 0.6146 |
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+ | 0.7924 | 70.0 | 4200 | 0.6108 |
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+ | 0.7812 | 71.0 | 4260 | 0.6064 |
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+ | 0.7714 | 72.0 | 4320 | 0.6042 |
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+ | 0.8165 | 73.0 | 4380 | 0.6029 |
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+ | 0.7469 | 74.0 | 4440 | 0.6007 |
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+ | 0.7636 | 75.0 | 4500 | 0.5988 |
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+ | 0.7597 | 76.0 | 4560 | 0.5976 |
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+ | 0.7227 | 77.0 | 4620 | 0.5944 |
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+ | 0.7816 | 78.0 | 4680 | 0.5924 |
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+ | 0.7509 | 79.0 | 4740 | 0.5914 |
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+ | 0.7563 | 80.0 | 4800 | 0.5903 |
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+ | 0.7658 | 81.0 | 4860 | 0.5879 |
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+ | 0.7438 | 82.0 | 4920 | 0.5867 |
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+ | 0.7357 | 83.0 | 4980 | 0.5858 |
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+ | 0.7325 | 84.0 | 5040 | 0.5846 |
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+ | 0.741 | 85.0 | 5100 | 0.5838 |
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+ | 0.7294 | 86.0 | 5160 | 0.5833 |
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+ | 0.7199 | 87.0 | 5220 | 0.5826 |
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+ | 0.7642 | 88.0 | 5280 | 0.5820 |
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+ | 0.7459 | 89.0 | 5340 | 0.5821 |
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+ | 0.7152 | 90.0 | 5400 | 0.5822 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 1200729512
 
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