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shawgpt-ft

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  1. README.md +312 -14
  2. runs/Apr05_09-58-52_EVAOS-1/events.out.tfevents.1712303932.EVAOS-1.485712.0 +3 -0
  3. runs/Apr05_09-59-38_EVAOS-1/events.out.tfevents.1712303978.EVAOS-1.491352.0 +3 -0
  4. runs/Apr05_10-00-14_EVAOS-1/events.out.tfevents.1712304014.EVAOS-1.495955.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -43,23 +43,321 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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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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- - lr_scheduler_warmup_steps: 2
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- - num_epochs: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 4.6433 | 0.92 | 3 | 4.2320 |
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- | 4.6544 | 1.85 | 6 | 4.2320 |
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- | 4.6459 | 2.77 | 9 | 4.2320 |
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- | 3.4822 | 4.0 | 13 | 4.2320 |
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- | 4.6298 | 4.92 | 16 | 4.2320 |
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- | 4.6605 | 5.85 | 19 | 4.2320 |
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- | 4.6392 | 6.77 | 22 | 4.2320 |
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- | 3.4844 | 8.0 | 26 | 4.2320 |
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- | 4.6305 | 8.92 | 29 | 4.2320 |
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- | 3.3623 | 9.23 | 30 | 4.2320 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
63
 
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  ### Framework versions
 
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  - total_train_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 1
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+ - training_steps: 1000
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 4.6433 | 0.92 | 3 | 4.2320 |
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+ | 4.6544 | 1.85 | 6 | 4.2320 |
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+ | 4.6459 | 2.77 | 9 | 4.2320 |
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+ | 3.4822 | 4.0 | 13 | 4.2320 |
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+ | 4.6298 | 4.92 | 16 | 4.2320 |
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+ | 4.6605 | 5.85 | 19 | 4.2320 |
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+ | 4.6392 | 6.77 | 22 | 4.2320 |
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+ | 3.4844 | 8.0 | 26 | 4.2320 |
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+ | 4.6305 | 8.92 | 29 | 4.2320 |
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+ | 4.6337 | 9.85 | 32 | 4.2320 |
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+ | 4.6501 | 10.77 | 35 | 4.2320 |
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+ | 3.4793 | 12.0 | 39 | 4.2320 |
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+ | 4.6568 | 12.92 | 42 | 4.2320 |
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+ | 4.6402 | 13.85 | 45 | 4.2320 |
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+ | 4.6381 | 14.77 | 48 | 4.2320 |
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+ | 3.4787 | 16.0 | 52 | 4.2320 |
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+ | 4.671 | 16.92 | 55 | 4.2320 |
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+ | 4.6186 | 17.85 | 58 | 4.2320 |
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+ | 4.6403 | 18.77 | 61 | 4.2320 |
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+ | 3.5009 | 20.0 | 65 | 4.2320 |
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+ | 4.6514 | 20.92 | 68 | 4.2320 |
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+ | 4.6426 | 21.85 | 71 | 4.2320 |
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+ | 4.6674 | 22.77 | 74 | 4.2320 |
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+ | 3.4915 | 24.0 | 78 | 4.2320 |
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+ | 4.6606 | 24.92 | 81 | 4.2320 |
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+ | 4.6364 | 25.85 | 84 | 4.2320 |
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+ | 4.6222 | 26.77 | 87 | 4.2320 |
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+ | 3.4782 | 28.0 | 91 | 4.2320 |
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+ | 4.6229 | 28.92 | 94 | 4.2320 |
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+ | 4.6576 | 29.85 | 97 | 4.2320 |
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+ | 4.6288 | 30.77 | 100 | 4.2320 |
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+ | 3.4664 | 32.0 | 104 | 4.2320 |
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+ | 4.6434 | 32.92 | 107 | 4.2320 |
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+ | 4.6519 | 33.85 | 110 | 4.2320 |
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+ | 4.6528 | 34.77 | 113 | 4.2320 |
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+ | 3.471 | 36.0 | 117 | 4.2320 |
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+ | 4.6453 | 36.92 | 120 | 4.2320 |
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+ | 4.616 | 37.85 | 123 | 4.2320 |
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+ | 4.6109 | 38.77 | 126 | 4.2320 |
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+ | 3.4799 | 40.0 | 130 | 4.2320 |
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+ | 4.6388 | 40.92 | 133 | 4.2320 |
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+ | 4.6711 | 41.85 | 136 | 4.2320 |
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+ | 4.6483 | 42.77 | 139 | 4.2320 |
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+ | 3.4695 | 44.0 | 143 | 4.2320 |
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+ | 4.6496 | 44.92 | 146 | 4.2320 |
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+ | 4.644 | 45.85 | 149 | 4.2320 |
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+ | 4.6444 | 46.77 | 152 | 4.2320 |
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+ | 3.4741 | 48.0 | 156 | 4.2320 |
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+ | 4.6189 | 48.92 | 159 | 4.2320 |
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+ | 4.6683 | 49.85 | 162 | 4.2320 |
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+ | 4.6345 | 50.77 | 165 | 4.2320 |
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+ | 3.4703 | 52.0 | 169 | 4.2320 |
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+ | 4.6144 | 52.92 | 172 | 4.2320 |
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+ | 4.6648 | 53.85 | 175 | 4.2320 |
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+ | 4.6522 | 54.77 | 178 | 4.2320 |
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+ | 3.4838 | 56.0 | 182 | 4.2320 |
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+ | 4.6506 | 56.92 | 185 | 4.2320 |
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+ | 4.6541 | 300.92 | 978 | 4.2320 |
354
+ | 4.659 | 301.85 | 981 | 4.2320 |
355
+ | 4.618 | 302.77 | 984 | 4.2320 |
356
+ | 3.4751 | 304.0 | 988 | 4.2320 |
357
+ | 4.623 | 304.92 | 991 | 4.2320 |
358
+ | 4.6371 | 305.85 | 994 | 4.2320 |
359
+ | 4.6546 | 306.77 | 997 | 4.2320 |
360
+ | 3.1908 | 307.69 | 1000 | 4.2320 |
361
 
362
 
363
  ### Framework versions
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