G-R-A-V-I-T-Y commited on
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End of training

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README.md CHANGED
@@ -15,9 +15,9 @@ 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: 3.3963
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- - Exact Match: 10.0
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- - Gen Len: 3.9
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  ## Model description
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@@ -42,32 +42,72 @@ 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: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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- | No log | 1.0 | 7 | 19.4103 | 0.0 | 19.0 |
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- | 24.1098 | 2.0 | 14 | 16.1054 | 0.0 | 19.0 |
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- | 18.4141 | 3.0 | 21 | 13.2155 | 0.0 | 19.0 |
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- | 18.4141 | 4.0 | 28 | 10.5562 | 0.0 | 19.0 |
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- | 14.3671 | 5.0 | 35 | 7.3648 | 0.0 | 18.68 |
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- | 10.2783 | 6.0 | 42 | 5.4277 | 4.0 | 16.44 |
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- | 10.2783 | 7.0 | 49 | 4.8687 | 18.0 | 7.88 |
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- | 7.6519 | 8.0 | 56 | 4.4226 | 26.0 | 3.06 |
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- | 5.7049 | 9.0 | 63 | 4.1797 | 28.0 | 3.06 |
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- | 5.0241 | 10.0 | 70 | 4.0197 | 24.0 | 4.74 |
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- | 5.0241 | 11.0 | 77 | 3.8360 | 8.0 | 7.58 |
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- | 4.1884 | 12.0 | 84 | 3.7251 | 6.0 | 8.74 |
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- | 3.3779 | 13.0 | 91 | 3.6448 | 6.0 | 6.94 |
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- | 3.3779 | 14.0 | 98 | 3.5611 | 10.0 | 4.66 |
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- | 3.149 | 15.0 | 105 | 3.4972 | 6.0 | 4.54 |
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- | 3.1238 | 16.0 | 112 | 3.4741 | 8.0 | 3.8 |
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- | 3.1238 | 17.0 | 119 | 3.4431 | 8.0 | 3.86 |
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- | 3.2917 | 18.0 | 126 | 3.4290 | 10.0 | 3.88 |
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- | 3.001 | 19.0 | 133 | 3.4080 | 10.0 | 3.9 |
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- | 3.8795 | 20.0 | 140 | 3.3963 | 10.0 | 3.9 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 2.9303
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+ - Exact Match: 18.0
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+ - Gen Len: 3.38
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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: 60
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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+ | No log | 1.0 | 7 | 3.4004 | 14.0 | 3.86 |
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+ | 2.7206 | 2.0 | 14 | 3.1925 | 8.0 | 3.66 |
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+ | 2.6501 | 3.0 | 21 | 2.9867 | 8.0 | 3.7 |
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+ | 2.6501 | 4.0 | 28 | 2.8576 | 12.0 | 4.58 |
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+ | 1.9849 | 5.0 | 35 | 2.9078 | 12.0 | 4.52 |
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+ | 2.0193 | 6.0 | 42 | 2.8173 | 8.0 | 3.84 |
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+ | 2.0193 | 7.0 | 49 | 2.7735 | 16.0 | 3.42 |
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+ | 1.6108 | 8.0 | 56 | 2.5993 | 12.0 | 3.82 |
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+ | 1.8323 | 9.0 | 63 | 2.5879 | 12.0 | 3.92 |
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+ | 1.4861 | 10.0 | 70 | 2.7203 | 16.0 | 3.4 |
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+ | 1.4861 | 11.0 | 77 | 2.9902 | 24.0 | 3.1 |
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+ | 1.425 | 12.0 | 84 | 2.7667 | 14.0 | 3.36 |
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+ | 1.0387 | 13.0 | 91 | 2.6547 | 18.0 | 3.42 |
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+ | 1.0387 | 14.0 | 98 | 2.7072 | 18.0 | 3.34 |
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+ | 1.0793 | 15.0 | 105 | 2.8158 | 12.0 | 3.58 |
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+ | 1.1969 | 16.0 | 112 | 2.9404 | 14.0 | 3.32 |
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+ | 1.1969 | 17.0 | 119 | 2.8512 | 14.0 | 3.3 |
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+ | 1.15 | 18.0 | 126 | 2.7513 | 18.0 | 3.68 |
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+ | 1.2024 | 19.0 | 133 | 2.7124 | 16.0 | 3.48 |
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+ | 1.3331 | 20.0 | 140 | 2.7484 | 16.0 | 3.4 |
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+ | 1.3331 | 21.0 | 147 | 2.8289 | 18.0 | 3.44 |
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+ | 1.1469 | 22.0 | 154 | 2.9873 | 14.0 | 3.36 |
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+ | 1.5639 | 23.0 | 161 | 3.0321 | 18.0 | 3.4 |
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+ | 1.5639 | 24.0 | 168 | 3.0117 | 14.0 | 3.3 |
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+ | 0.8542 | 25.0 | 175 | 2.8331 | 16.0 | 3.34 |
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+ | 0.9789 | 26.0 | 182 | 2.7876 | 20.0 | 3.36 |
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+ | 0.9789 | 27.0 | 189 | 2.7820 | 20.0 | 3.36 |
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+ | 0.8853 | 28.0 | 196 | 2.8082 | 18.0 | 3.38 |
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+ | 0.9126 | 29.0 | 203 | 2.8316 | 16.0 | 3.36 |
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+ | 1.0543 | 30.0 | 210 | 2.8449 | 18.0 | 3.64 |
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+ | 1.0543 | 31.0 | 217 | 2.8034 | 8.0 | 3.62 |
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+ | 1.0683 | 32.0 | 224 | 2.8115 | 14.0 | 3.46 |
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+ | 0.951 | 33.0 | 231 | 2.9019 | 18.0 | 3.34 |
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+ | 0.951 | 34.0 | 238 | 3.0115 | 18.0 | 3.24 |
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+ | 0.8315 | 35.0 | 245 | 3.0392 | 18.0 | 3.24 |
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+ | 1.1548 | 36.0 | 252 | 3.0643 | 18.0 | 3.36 |
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+ | 1.1548 | 37.0 | 259 | 3.0031 | 16.0 | 3.42 |
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+ | 0.7813 | 38.0 | 266 | 2.9801 | 18.0 | 3.48 |
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+ | 0.671 | 39.0 | 273 | 2.9622 | 18.0 | 3.48 |
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+ | 1.1771 | 40.0 | 280 | 2.9049 | 18.0 | 3.46 |
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+ | 1.1771 | 41.0 | 287 | 2.9042 | 20.0 | 3.56 |
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+ | 0.5959 | 42.0 | 294 | 2.9598 | 18.0 | 3.48 |
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+ | 1.1583 | 43.0 | 301 | 2.9936 | 18.0 | 3.44 |
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+ | 1.1583 | 44.0 | 308 | 3.0072 | 18.0 | 3.44 |
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+ | 0.5728 | 45.0 | 315 | 3.0003 | 18.0 | 3.44 |
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+ | 0.7237 | 46.0 | 322 | 3.0093 | 16.0 | 3.4 |
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+ | 0.7237 | 47.0 | 329 | 2.9688 | 18.0 | 3.42 |
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+ | 0.7295 | 48.0 | 336 | 2.9533 | 18.0 | 3.38 |
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+ | 0.5627 | 49.0 | 343 | 2.9357 | 18.0 | 3.36 |
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+ | 0.6489 | 50.0 | 350 | 2.9317 | 18.0 | 3.4 |
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+ | 0.6489 | 51.0 | 357 | 2.9339 | 18.0 | 3.4 |
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+ | 1.0427 | 52.0 | 364 | 2.9256 | 18.0 | 3.4 |
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+ | 0.9156 | 53.0 | 371 | 2.9220 | 18.0 | 3.4 |
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+ | 0.9156 | 54.0 | 378 | 2.9091 | 18.0 | 3.38 |
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+ | 0.4748 | 55.0 | 385 | 2.9036 | 18.0 | 3.36 |
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+ | 0.5616 | 56.0 | 392 | 2.8998 | 18.0 | 3.36 |
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+ | 0.5616 | 57.0 | 399 | 2.9128 | 18.0 | 3.36 |
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+ | 0.4836 | 58.0 | 406 | 2.9205 | 18.0 | 3.36 |
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+ | 0.6498 | 59.0 | 413 | 2.9282 | 18.0 | 3.36 |
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+ | 0.615 | 60.0 | 420 | 2.9303 | 18.0 | 3.38 |
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  ### Framework versions
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