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GPT2-705-RUN1

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ninagroot/GPT2-705Mtest

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  1. README.md +25 -60
  2. model.safetensors +1 -1
  3. runs/Apr17_14-09-48_gcn20.local.snellius.surf.nl/events.out.tfevents.1713355797.gcn20.local.snellius.surf.nl.1872804.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ 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: 6.2845
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  ## Model description
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@@ -41,71 +41,36 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 50
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- - num_epochs: 100
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 9.7065 | 0.57 | 1 | 9.7011 |
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- | 7.9846 | 1.71 | 3 | 8.5445 |
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- | 7.6607 | 2.86 | 5 | 8.0972 |
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- | 7.5687 | 4.0 | 7 | 8.4841 |
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- | 8.0293 | 4.57 | 8 | 7.9394 |
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- | 7.0027 | 5.71 | 10 | 7.7385 |
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- | 6.8649 | 6.86 | 12 | 7.3423 |
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- | 6.4228 | 8.0 | 14 | 7.0662 |
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- | 6.259 | 8.57 | 15 | 6.9541 |
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- | 6.1205 | 9.71 | 17 | 6.6782 |
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- | 5.8029 | 10.86 | 19 | 6.5614 |
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- | 5.4672 | 12.0 | 21 | 6.2749 |
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- | 5.4032 | 12.57 | 22 | 6.2083 |
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- | 5.166 | 13.71 | 24 | 6.0910 |
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- | 4.9317 | 14.86 | 26 | 5.9103 |
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- | 4.71 | 16.0 | 28 | 5.8250 |
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- | 4.6227 | 16.57 | 29 | 5.7667 |
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- | 4.317 | 17.71 | 31 | 5.5216 |
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- | 4.375 | 18.86 | 33 | 5.4968 |
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- | 4.2285 | 20.0 | 35 | 5.4314 |
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- | 4.0816 | 20.57 | 36 | 5.3738 |
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- | 3.8132 | 21.71 | 38 | 5.4058 |
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- | 3.5336 | 22.86 | 40 | 5.5456 |
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- | 3.5355 | 24.0 | 42 | 5.3319 |
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- | 3.3558 | 24.57 | 43 | 5.3172 |
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- | 3.2986 | 25.71 | 45 | 5.3937 |
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- | 3.0968 | 26.86 | 47 | 5.3438 |
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- | 2.9288 | 28.0 | 49 | 5.4855 |
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- | 2.8645 | 28.57 | 50 | 5.4153 |
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- | 2.6979 | 29.71 | 52 | 5.5391 |
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- | 2.6357 | 30.86 | 54 | 5.6242 |
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- | 2.5271 | 32.0 | 56 | 5.6653 |
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- | 2.4606 | 32.57 | 57 | 5.7393 |
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- | 2.3441 | 33.71 | 59 | 5.8189 |
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- | 2.2027 | 34.86 | 61 | 5.7873 |
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- | 2.1467 | 36.0 | 63 | 5.7625 |
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- | 2.0218 | 36.57 | 64 | 5.7930 |
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- | 1.9145 | 37.71 | 66 | 5.9998 |
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- | 1.8427 | 38.86 | 68 | 5.9277 |
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- | 1.7795 | 40.0 | 70 | 5.9826 |
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- | 1.6823 | 40.57 | 71 | 6.0166 |
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- | 1.5936 | 41.71 | 73 | 6.0393 |
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- | 1.5114 | 42.86 | 75 | 6.1086 |
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- | 1.4313 | 44.0 | 77 | 6.1522 |
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- | 1.3536 | 44.57 | 78 | 6.1280 |
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- | 1.2649 | 45.71 | 80 | 6.1950 |
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- | 1.1631 | 46.86 | 82 | 6.2132 |
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- | 1.1196 | 48.0 | 84 | 6.2504 |
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- | 1.038 | 48.57 | 85 | 6.2654 |
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- | 0.9875 | 49.71 | 87 | 6.2609 |
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- | 0.9314 | 50.86 | 89 | 6.2622 |
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- | 0.9101 | 52.0 | 91 | 6.2624 |
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- | 0.8854 | 52.57 | 92 | 6.2676 |
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- | 0.8441 | 53.71 | 94 | 6.2807 |
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- | 0.8359 | 54.86 | 96 | 6.2855 |
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- | 0.8137 | 56.0 | 98 | 6.2849 |
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- | 0.815 | 56.57 | 99 | 6.2846 |
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- | 0.8284 | 57.14 | 100 | 6.2845 |
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  ### Framework versions
 
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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: 5.4056
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 40
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 9.6096 | 0.57 | 1 | 9.6357 |
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+ | 7.977 | 1.71 | 3 | 9.0764 |
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+ | 8.1366 | 2.86 | 5 | 8.6105 |
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+ | 8.0848 | 4.0 | 7 | 7.9018 |
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+ | 7.453 | 4.57 | 8 | 7.6342 |
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+ | 7.8712 | 5.71 | 10 | 7.9612 |
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+ | 6.8203 | 6.86 | 12 | 7.2844 |
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+ | 6.5424 | 8.0 | 14 | 8.1115 |
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+ | 7.2256 | 8.57 | 15 | 7.3713 |
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+ | 6.3967 | 9.71 | 17 | 6.8166 |
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+ | 6.0655 | 10.86 | 19 | 6.7260 |
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+ | 5.7827 | 12.0 | 21 | 6.4126 |
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+ | 5.6576 | 12.57 | 22 | 6.3180 |
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+ | 5.3613 | 13.71 | 24 | 6.1895 |
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+ | 5.1989 | 14.86 | 26 | 6.1551 |
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+ | 4.9434 | 16.0 | 28 | 5.8908 |
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+ | 4.7459 | 16.57 | 29 | 5.8423 |
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+ | 4.5211 | 17.71 | 31 | 5.8593 |
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+ | 4.6584 | 18.86 | 33 | 5.6543 |
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+ | 4.2589 | 20.0 | 35 | 5.4347 |
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+ | 4.1651 | 20.57 | 36 | 5.5395 |
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+ | 4.0289 | 21.71 | 38 | 5.4804 |
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+ | 3.7381 | 22.86 | 40 | 5.4056 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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