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Text2Text Generation
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End of training

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  1. README.md +106 -15
  2. generation_config.json +1 -0
  3. model.safetensors +1 -1
README.md CHANGED
@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6800
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- - Exact Match: 0.165
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  ## Model description
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@@ -39,26 +39,117 @@ 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: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Exact Match |
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- |:-------------:|:-----:|:----:|:---------------:|:-----------:|
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- | 2.1419 | 1.0 | 313 | 1.3197 | 0.01 |
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- | 1.1804 | 2.0 | 626 | 1.0833 | 0.023 |
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- | 0.8888 | 3.0 | 939 | 0.9529 | 0.062 |
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- | 0.7167 | 4.0 | 1252 | 0.9488 | 0.052 |
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- | 0.5985 | 5.0 | 1565 | 0.8626 | 0.09 |
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- | 0.514 | 6.0 | 1878 | 0.7982 | 0.115 |
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- | 0.439 | 7.0 | 2191 | 0.7420 | 0.144 |
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- | 0.3851 | 8.0 | 2504 | 0.6876 | 0.15 |
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- | 0.3434 | 9.0 | 2817 | 0.6794 | 0.178 |
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- | 0.3174 | 10.0 | 3130 | 0.6800 | 0.165 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
 
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  - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6338
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+ - Exact Match: 0.142
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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 | Exact Match |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-----------:|
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+ | 2.6989 | 1.0 | 313 | 1.8586 | 0.0 |
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+ | 1.834 | 2.0 | 626 | 1.5284 | 0.003 |
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+ | 1.517 | 3.0 | 939 | 1.3632 | 0.005 |
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+ | 1.2977 | 4.0 | 1252 | 1.2077 | 0.021 |
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+ | 1.124 | 5.0 | 1565 | 1.1030 | 0.037 |
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+ | 0.9885 | 6.0 | 1878 | 1.0607 | 0.05 |
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+ | 0.8762 | 7.0 | 2191 | 1.0329 | 0.047 |
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+ | 0.7698 | 8.0 | 2504 | 1.0087 | 0.063 |
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+ | 0.6983 | 9.0 | 2817 | 0.9963 | 0.046 |
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+ | 0.6297 | 10.0 | 3130 | 0.9754 | 0.076 |
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+ | 0.5719 | 11.0 | 3443 | 0.9907 | 0.075 |
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+ | 0.5247 | 12.0 | 3756 | 0.9777 | 0.069 |
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+ | 0.4776 | 13.0 | 4069 | 0.9766 | 0.055 |
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+ | 0.442 | 14.0 | 4382 | 0.9953 | 0.091 |
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+ | 0.4081 | 15.0 | 4695 | 1.0005 | 0.098 |
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+ | 0.3783 | 16.0 | 5008 | 1.0274 | 0.093 |
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+ | 0.3545 | 17.0 | 5321 | 1.0516 | 0.087 |
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+ | 0.3243 | 18.0 | 5634 | 1.0339 | 0.09 |
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+ | 0.3045 | 19.0 | 5947 | 1.0419 | 0.078 |
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+ | 0.2841 | 20.0 | 6260 | 1.0640 | 0.087 |
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+ | 0.2692 | 21.0 | 6573 | 1.0839 | 0.105 |
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+ | 0.2543 | 22.0 | 6886 | 1.1608 | 0.064 |
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+ | 0.2346 | 23.0 | 7199 | 1.1046 | 0.113 |
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+ | 0.2245 | 24.0 | 7512 | 1.1569 | 0.128 |
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+ | 0.2135 | 25.0 | 7825 | 1.1242 | 0.108 |
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+ | 0.2029 | 26.0 | 8138 | 1.1436 | 0.118 |
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+ | 0.1902 | 27.0 | 8451 | 1.2023 | 0.095 |
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+ | 0.1832 | 28.0 | 8764 | 1.1556 | 0.115 |
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+ | 0.171 | 29.0 | 9077 | 1.2068 | 0.094 |
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+ | 0.1639 | 30.0 | 9390 | 1.2101 | 0.151 |
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+ | 0.1581 | 31.0 | 9703 | 1.2299 | 0.112 |
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+ | 0.1504 | 32.0 | 10016 | 1.3153 | 0.1 |
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+ | 0.1463 | 33.0 | 10329 | 1.2785 | 0.091 |
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+ | 0.1405 | 34.0 | 10642 | 1.2662 | 0.111 |
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+ | 0.1349 | 35.0 | 10955 | 1.2805 | 0.134 |
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+ | 0.1291 | 36.0 | 11268 | 1.2516 | 0.137 |
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+ | 0.126 | 37.0 | 11581 | 1.3312 | 0.141 |
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+ | 0.1204 | 38.0 | 11894 | 1.2776 | 0.116 |
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+ | 0.1163 | 39.0 | 12207 | 1.3203 | 0.11 |
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+ | 0.114 | 40.0 | 12520 | 1.3212 | 0.129 |
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+ | 0.1056 | 41.0 | 12833 | 1.3291 | 0.127 |
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+ | 0.1033 | 42.0 | 13146 | 1.3010 | 0.125 |
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+ | 0.1034 | 43.0 | 13459 | 1.3206 | 0.135 |
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+ | 0.098 | 44.0 | 13772 | 1.3879 | 0.127 |
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+ | 0.0951 | 45.0 | 14085 | 1.3693 | 0.111 |
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+ | 0.089 | 46.0 | 14398 | 1.4261 | 0.124 |
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+ | 0.0913 | 47.0 | 14711 | 1.3644 | 0.122 |
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+ | 0.0863 | 48.0 | 15024 | 1.4392 | 0.108 |
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+ | 0.0809 | 49.0 | 15337 | 1.3726 | 0.098 |
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+ | 0.0795 | 50.0 | 15650 | 1.3791 | 0.084 |
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+ | 0.0763 | 51.0 | 15963 | 1.3911 | 0.134 |
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+ | 0.0768 | 52.0 | 16276 | 1.4202 | 0.104 |
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+ | 0.076 | 53.0 | 16589 | 1.4594 | 0.122 |
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+ | 0.0734 | 54.0 | 16902 | 1.4541 | 0.129 |
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+ | 0.0714 | 55.0 | 17215 | 1.4032 | 0.133 |
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+ | 0.0696 | 56.0 | 17528 | 1.4467 | 0.128 |
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+ | 0.0674 | 57.0 | 17841 | 1.4952 | 0.103 |
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+ | 0.0657 | 58.0 | 18154 | 1.4582 | 0.14 |
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+ | 0.0658 | 59.0 | 18467 | 1.4619 | 0.121 |
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+ | 0.061 | 60.0 | 18780 | 1.5447 | 0.111 |
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+ | 0.0609 | 61.0 | 19093 | 1.4233 | 0.16 |
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+ | 0.0596 | 62.0 | 19406 | 1.4705 | 0.134 |
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+ | 0.058 | 63.0 | 19719 | 1.4721 | 0.144 |
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+ | 0.0555 | 64.0 | 20032 | 1.4377 | 0.156 |
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+ | 0.0532 | 65.0 | 20345 | 1.5016 | 0.125 |
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+ | 0.0559 | 66.0 | 20658 | 1.5405 | 0.156 |
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+ | 0.0517 | 67.0 | 20971 | 1.5166 | 0.133 |
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+ | 0.0499 | 68.0 | 21284 | 1.4787 | 0.139 |
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+ | 0.0477 | 69.0 | 21597 | 1.5063 | 0.124 |
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+ | 0.0491 | 70.0 | 21910 | 1.5287 | 0.147 |
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+ | 0.0464 | 71.0 | 22223 | 1.5428 | 0.131 |
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+ | 0.0456 | 72.0 | 22536 | 1.5434 | 0.132 |
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+ | 0.0449 | 73.0 | 22849 | 1.5364 | 0.116 |
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+ | 0.0432 | 74.0 | 23162 | 1.5830 | 0.12 |
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+ | 0.042 | 75.0 | 23475 | 1.5508 | 0.113 |
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+ | 0.0403 | 76.0 | 23788 | 1.5146 | 0.134 |
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+ | 0.0398 | 77.0 | 24101 | 1.5955 | 0.111 |
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+ | 0.0412 | 78.0 | 24414 | 1.5759 | 0.132 |
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+ | 0.0391 | 79.0 | 24727 | 1.5588 | 0.136 |
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+ | 0.0383 | 80.0 | 25040 | 1.5580 | 0.141 |
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+ | 0.0366 | 81.0 | 25353 | 1.5895 | 0.143 |
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+ | 0.0365 | 82.0 | 25666 | 1.5637 | 0.148 |
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+ | 0.035 | 83.0 | 25979 | 1.6012 | 0.155 |
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+ | 0.0359 | 84.0 | 26292 | 1.6130 | 0.118 |
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+ | 0.0343 | 85.0 | 26605 | 1.6038 | 0.158 |
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+ | 0.0333 | 86.0 | 26918 | 1.6300 | 0.124 |
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+ | 0.0318 | 87.0 | 27231 | 1.6259 | 0.145 |
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+ | 0.0309 | 88.0 | 27544 | 1.6178 | 0.139 |
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+ | 0.0303 | 89.0 | 27857 | 1.6166 | 0.143 |
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+ | 0.0302 | 90.0 | 28170 | 1.6394 | 0.141 |
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+ | 0.0293 | 91.0 | 28483 | 1.6408 | 0.154 |
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+ | 0.0281 | 92.0 | 28796 | 1.6424 | 0.13 |
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+ | 0.0288 | 93.0 | 29109 | 1.6426 | 0.136 |
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+ | 0.0272 | 94.0 | 29422 | 1.6477 | 0.131 |
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+ | 0.0278 | 95.0 | 29735 | 1.6288 | 0.142 |
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+ | 0.0264 | 96.0 | 30048 | 1.6251 | 0.142 |
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+ | 0.0268 | 97.0 | 30361 | 1.6340 | 0.142 |
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+ | 0.0255 | 98.0 | 30674 | 1.6353 | 0.145 |
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+ | 0.0263 | 99.0 | 30987 | 1.6333 | 0.143 |
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+ | 0.0259 | 100.0 | 31300 | 1.6338 | 0.142 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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  - Tokenizers 0.15.0
generation_config.json CHANGED
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  {
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  "decoder_start_token_id": 259,
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  "eos_token_id": 1,
 
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  "pad_token_id": 0,
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  "transformers_version": "4.35.2"
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  }
 
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  {
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  "decoder_start_token_id": 259,
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  "eos_token_id": 1,
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+ "max_new_tokens": 20,
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  "pad_token_id": 0,
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  "transformers_version": "4.35.2"
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  }
model.safetensors CHANGED
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