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  1. README.md +51 -55
  2. all_results.json +6 -6
  3. train_results.json +6 -6
README.md CHANGED
@@ -5,18 +5,18 @@ base_model: gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: Se124M100KInfPrompt_endtoken2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Se124M100KInfPrompt_endtoken2
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6709
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  ## Model description
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@@ -46,61 +46,57 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_steps: 200
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  - num_epochs: 50
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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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- | 0.8989 | 1.0 | 267 | 0.7585 |
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- | 0.7706 | 2.0 | 534 | 0.7264 |
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- | 0.7441 | 3.0 | 801 | 0.7160 |
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- | 0.7327 | 4.0 | 1068 | 0.7091 |
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- | 0.7175 | 5.0 | 1335 | 0.7024 |
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- | 0.7118 | 6.0 | 1602 | 0.6990 |
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- | 0.7079 | 7.0 | 1869 | 0.6931 |
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- | 0.6982 | 8.0 | 2136 | 0.6904 |
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- | 0.6977 | 9.0 | 2403 | 0.6891 |
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- | 0.6971 | 10.0 | 2670 | 0.6869 |
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- | 0.6992 | 11.0 | 2937 | 0.6850 |
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- | 0.6889 | 12.0 | 3204 | 0.6849 |
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- | 0.6924 | 13.0 | 3471 | 0.6845 |
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- | 0.6894 | 14.0 | 3738 | 0.6834 |
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- | 0.6886 | 15.0 | 4005 | 0.6791 |
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- | 0.6906 | 16.0 | 4272 | 0.6812 |
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- | 0.6868 | 17.0 | 4539 | 0.6796 |
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- | 0.6852 | 18.0 | 4806 | 0.6789 |
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- | 0.6797 | 19.0 | 5073 | 0.6784 |
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- | 0.6813 | 20.0 | 5340 | 0.6775 |
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- | 0.6823 | 21.0 | 5607 | 0.6776 |
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- | 0.6803 | 22.0 | 5874 | 0.6758 |
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- | 0.6782 | 23.0 | 6141 | 0.6768 |
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- | 0.6786 | 24.0 | 6408 | 0.6747 |
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- | 0.677 | 25.0 | 6675 | 0.6740 |
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- | 0.68 | 26.0 | 6942 | 0.6742 |
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- | 0.6733 | 27.0 | 7209 | 0.6735 |
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- | 0.6744 | 28.0 | 7476 | 0.6734 |
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- | 0.6746 | 29.0 | 7743 | 0.6737 |
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- | 0.674 | 30.0 | 8010 | 0.6753 |
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- | 0.6694 | 31.0 | 8277 | 0.6731 |
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- | 0.6731 | 32.0 | 8544 | 0.6734 |
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- | 0.6683 | 33.0 | 8811 | 0.6723 |
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- | 0.6712 | 34.0 | 9078 | 0.6723 |
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- | 0.668 | 35.0 | 9345 | 0.6720 |
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- | 0.6647 | 36.0 | 9612 | 0.6723 |
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- | 0.664 | 37.0 | 9879 | 0.6713 |
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- | 0.6707 | 38.0 | 10146 | 0.6724 |
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- | 0.6704 | 39.0 | 10413 | 0.6715 |
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- | 0.6675 | 40.0 | 10680 | 0.6715 |
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- | 0.6673 | 41.0 | 10947 | 0.6718 |
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- | 0.6656 | 42.0 | 11214 | 0.6713 |
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- | 0.6659 | 43.0 | 11481 | 0.6715 |
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- | 0.667 | 44.0 | 11748 | 0.6714 |
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- | 0.6596 | 45.0 | 12015 | 0.6709 |
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- | 0.6673 | 46.0 | 12282 | 0.6710 |
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- | 0.6666 | 47.0 | 12549 | 0.6710 |
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- | 0.6661 | 48.0 | 12816 | 0.6709 |
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- | 0.6637 | 49.0 | 13083 | 0.6709 |
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- | 0.665 | 49.8143 | 13300 | 0.6709 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: Se124M10KInfPrompt_endtoken_ls
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Se124M10KInfPrompt_endtoken_ls
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0494
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  ## Model description
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  - lr_scheduler_warmup_steps: 200
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  - num_epochs: 50
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  - mixed_precision_training: Native AMP
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+ - label_smoothing_factor: 0.1
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 19.0863 | 1.0 | 267 | 2.1942 |
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+ | 17.6413 | 2.0 | 534 | 2.1318 |
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+ | 17.3454 | 3.0 | 801 | 2.1143 |
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+ | 17.2455 | 4.0 | 1068 | 2.0979 |
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+ | 17.112 | 5.0 | 1335 | 2.0918 |
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+ | 17.0311 | 6.0 | 1602 | 2.0852 |
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+ | 16.9714 | 7.0 | 1869 | 2.0805 |
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+ | 16.8883 | 8.0 | 2136 | 2.0760 |
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+ | 16.8675 | 9.0 | 2403 | 2.0727 |
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+ | 16.8491 | 10.0 | 2670 | 2.0699 |
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+ | 16.8653 | 11.0 | 2937 | 2.0698 |
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+ | 16.7795 | 12.0 | 3204 | 2.0718 |
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+ | 16.8033 | 13.0 | 3471 | 2.0635 |
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+ | 16.7715 | 14.0 | 3738 | 2.0644 |
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+ | 16.7677 | 15.0 | 4005 | 2.0632 |
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+ | 16.7682 | 16.0 | 4272 | 2.0615 |
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+ | 16.7473 | 17.0 | 4539 | 2.0598 |
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+ | 16.7306 | 18.0 | 4806 | 2.0615 |
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+ | 16.6896 | 19.0 | 5073 | 2.0586 |
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+ | 16.7027 | 20.0 | 5340 | 2.0589 |
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+ | 16.6991 | 21.0 | 5607 | 2.0581 |
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+ | 16.6864 | 22.0 | 5874 | 2.0573 |
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+ | 16.6749 | 23.0 | 6141 | 2.0562 |
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+ | 16.6714 | 24.0 | 6408 | 2.0551 |
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+ | 16.6603 | 25.0 | 6675 | 2.0546 |
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+ | 16.6801 | 26.0 | 6942 | 2.0542 |
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+ | 16.6263 | 27.0 | 7209 | 2.0541 |
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+ | 16.6436 | 28.0 | 7476 | 2.0531 |
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+ | 16.6471 | 29.0 | 7743 | 2.0523 |
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+ | 16.6412 | 30.0 | 8010 | 2.0549 |
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+ | 16.6017 | 31.0 | 8277 | 2.0529 |
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+ | 16.6352 | 32.0 | 8544 | 2.0510 |
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+ | 16.5937 | 33.0 | 8811 | 2.0522 |
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+ | 16.6165 | 34.0 | 9078 | 2.0511 |
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+ | 16.5961 | 35.0 | 9345 | 2.0518 |
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+ | 16.5675 | 36.0 | 9612 | 2.0514 |
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+ | 16.5565 | 37.0 | 9879 | 2.0499 |
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+ | 16.6215 | 38.0 | 10146 | 2.0504 |
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+ | 16.6133 | 39.0 | 10413 | 2.0505 |
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+ | 16.5901 | 40.0 | 10680 | 2.0492 |
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+ | 16.5841 | 41.0 | 10947 | 2.0500 |
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+ | 16.5856 | 42.0 | 11214 | 2.0493 |
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+ | 16.5775 | 43.0 | 11481 | 2.0494 |
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+ | 16.5873 | 44.0 | 11748 | 2.0497 |
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+ | 16.5285 | 45.0 | 12015 | 2.0494 |
 
 
 
 
 
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  ### Framework versions
all_results.json CHANGED
@@ -1,13 +1,13 @@
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  {
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- "epoch": 49.814258911819884,
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  "eval_loss": 0.6708822250366211,
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  "eval_runtime": 3.6448,
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  "eval_samples_per_second": 501.534,
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  "eval_steps_per_second": 62.829,
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  "perplexity": 1.9559621584633884,
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- "total_flos": 2.18714101825536e+16,
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- "train_loss": 0.6980596797627614,
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- "train_runtime": 3389.5401,
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- "train_samples_per_second": 125.799,
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- "train_steps_per_second": 3.924
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  }
 
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  {
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+ "epoch": 45.0,
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  "eval_loss": 0.6708822250366211,
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  "eval_runtime": 3.6448,
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  "eval_samples_per_second": 501.534,
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  "eval_steps_per_second": 62.829,
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  "perplexity": 1.9559621584633884,
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+ "total_flos": 1.975920863064883e+16,
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+ "train_loss": 16.87015275197182,
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+ "train_runtime": 3210.0048,
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+ "train_samples_per_second": 132.835,
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+ "train_steps_per_second": 4.143
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  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "epoch": 49.814258911819884,
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- "total_flos": 2.18714101825536e+16,
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- "train_loss": 0.6980596797627614,
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- "train_runtime": 3389.5401,
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- "train_samples_per_second": 125.799,
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- "train_steps_per_second": 3.924
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  }
 
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  {
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+ "epoch": 45.0,
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+ "total_flos": 1.975920863064883e+16,
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+ "train_loss": 16.87015275197182,
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+ "train_runtime": 3210.0048,
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+ "train_samples_per_second": 132.835,
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+ "train_steps_per_second": 4.143
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  }