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augustocsc
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Se124M100KInfPrompt_endtoken

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Safetensors
Generated from Trainer
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  1. README.md +55 -50
  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: Se124M10KInfPrompt_endtoken
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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
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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: 0.7552
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  ## Model description
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@@ -46,53 +46,58 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6082 | 1.0 | 153 | 1.4745 |
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- | 0.3175 | 2.0 | 306 | 1.0258 |
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- | 0.2798 | 3.0 | 459 | 0.9099 |
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- | 0.244 | 4.0 | 612 | 0.8688 |
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- | 0.2373 | 5.0 | 765 | 0.8479 |
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- | 0.2252 | 6.0 | 918 | 0.8343 |
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- | 0.2289 | 7.0 | 1071 | 0.8216 |
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- | 0.2209 | 8.0 | 1224 | 0.8143 |
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- | 0.2211 | 9.0 | 1377 | 0.8082 |
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- | 0.2176 | 10.0 | 1530 | 0.8029 |
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- | 0.2157 | 11.0 | 1683 | 0.7990 |
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- | 0.2097 | 12.0 | 1836 | 0.7945 |
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- | 0.2113 | 13.0 | 1989 | 0.7921 |
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- | 0.2099 | 14.0 | 2142 | 0.7891 |
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- | 0.2073 | 15.0 | 2295 | 0.7863 |
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- | 0.2055 | 16.0 | 2448 | 0.7805 |
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- | 0.2051 | 17.0 | 2601 | 0.7806 |
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- | 0.2031 | 18.0 | 2754 | 0.7776 |
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- | 0.2046 | 19.0 | 2907 | 0.7760 |
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- | 0.206 | 20.0 | 3060 | 0.7720 |
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- | 0.2043 | 21.0 | 3213 | 0.7725 |
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- | 0.204 | 22.0 | 3366 | 0.7707 |
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- | 0.2032 | 23.0 | 3519 | 0.7681 |
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- | 0.2026 | 24.0 | 3672 | 0.7678 |
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- | 0.1991 | 25.0 | 3825 | 0.7665 |
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- | 0.2037 | 26.0 | 3978 | 0.7660 |
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- | 0.2011 | 27.0 | 4131 | 0.7634 |
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- | 0.2015 | 28.0 | 4284 | 0.7635 |
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- | 0.2006 | 29.0 | 4437 | 0.7620 |
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- | 0.2014 | 30.0 | 4590 | 0.7640 |
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- | 0.2 | 31.0 | 4743 | 0.7609 |
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- | 0.202 | 32.0 | 4896 | 0.7606 |
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- | 0.1989 | 33.0 | 5049 | 0.7599 |
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- | 0.1983 | 34.0 | 5202 | 0.7594 |
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- | 0.2 | 35.0 | 5355 | 0.7596 |
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- | 0.1991 | 36.0 | 5508 | 0.7588 |
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- | 0.1978 | 37.0 | 5661 | 0.7576 |
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- | 0.1975 | 38.0 | 5814 | 0.7572 |
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- | 0.2007 | 39.0 | 5967 | 0.7569 |
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- | 0.1987 | 40.0 | 6120 | 0.7563 |
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- | 0.2002 | 41.0 | 6273 | 0.7561 |
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- | 0.1961 | 42.0 | 6426 | 0.7563 |
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- | 0.201 | 43.0 | 6579 | 0.7552 |
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- | 0.1993 | 44.0 | 6732 | 0.7553 |
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- | 0.1969 | 45.0 | 6885 | 0.7553 |
 
 
 
 
 
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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: Se124M100KInfPrompt_endtoken
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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_endtoken
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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: 0.6957
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.2129 | 1.0 | 1430 | 0.8043 |
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+ | 0.2018 | 2.0 | 2860 | 0.7705 |
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+ | 0.1949 | 3.0 | 4290 | 0.7588 |
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+ | 0.1913 | 4.0 | 5720 | 0.7498 |
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+ | 0.1921 | 5.0 | 7150 | 0.7435 |
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+ | 0.1903 | 6.0 | 8580 | 0.7371 |
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+ | 0.1888 | 7.0 | 10010 | 0.7339 |
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+ | 0.1881 | 8.0 | 11440 | 0.7299 |
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+ | 0.1872 | 9.0 | 12870 | 0.7267 |
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+ | 0.187 | 10.0 | 14300 | 0.7251 |
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+ | 0.184 | 11.0 | 15730 | 0.7229 |
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+ | 0.1846 | 12.0 | 17160 | 0.7212 |
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+ | 0.1851 | 13.0 | 18590 | 0.7182 |
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+ | 0.1804 | 14.0 | 20020 | 0.7153 |
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+ | 0.1848 | 15.0 | 21450 | 0.7141 |
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+ | 0.1824 | 16.0 | 22880 | 0.7144 |
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+ | 0.1796 | 17.0 | 24310 | 0.7116 |
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+ | 0.18 | 18.0 | 25740 | 0.7108 |
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+ | 0.1825 | 19.0 | 27170 | 0.7082 |
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+ | 0.1852 | 20.0 | 28600 | 0.7082 |
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+ | 0.1785 | 21.0 | 30030 | 0.7072 |
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+ | 0.1811 | 22.0 | 31460 | 0.7057 |
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+ | 0.178 | 23.0 | 32890 | 0.7059 |
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+ | 0.1827 | 24.0 | 34320 | 0.7046 |
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+ | 0.1813 | 25.0 | 35750 | 0.7033 |
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+ | 0.1825 | 26.0 | 37180 | 0.7039 |
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+ | 0.1795 | 27.0 | 38610 | 0.7032 |
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+ | 0.1801 | 28.0 | 40040 | 0.7017 |
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+ | 0.1781 | 29.0 | 41470 | 0.7013 |
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+ | 0.1823 | 30.0 | 42900 | 0.7010 |
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+ | 0.1781 | 31.0 | 44330 | 0.7012 |
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+ | 0.1809 | 32.0 | 45760 | 0.6999 |
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+ | 0.1764 | 33.0 | 47190 | 0.6996 |
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+ | 0.1791 | 34.0 | 48620 | 0.6983 |
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+ | 0.1793 | 35.0 | 50050 | 0.6988 |
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+ | 0.1785 | 36.0 | 51480 | 0.6980 |
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+ | 0.1777 | 37.0 | 52910 | 0.6980 |
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+ | 0.1774 | 38.0 | 54340 | 0.6980 |
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+ | 0.1795 | 39.0 | 55770 | 0.6976 |
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+ | 0.1772 | 40.0 | 57200 | 0.6974 |
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+ | 0.1793 | 41.0 | 58630 | 0.6974 |
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+ | 0.1777 | 42.0 | 60060 | 0.6968 |
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+ | 0.1777 | 43.0 | 61490 | 0.6965 |
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+ | 0.1779 | 44.0 | 62920 | 0.6965 |
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+ | 0.1782 | 45.0 | 64350 | 0.6964 |
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+ | 0.1765 | 46.0 | 65780 | 0.6961 |
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+ | 0.1758 | 47.0 | 67210 | 0.6962 |
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+ | 0.1763 | 48.0 | 68640 | 0.6960 |
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+ | 0.1788 | 49.0 | 70070 | 0.6958 |
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+ | 0.1776 | 50.0 | 71500 | 0.6957 |
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  ### Framework versions
all_results.json CHANGED
@@ -1,13 +1,13 @@
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  {
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- "epoch": 45.0,
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  "eval_loss": 0.7551774382591248,
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  "eval_runtime": 6.5379,
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  "eval_samples_per_second": 161.672,
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  "eval_steps_per_second": 5.2,
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  "perplexity": 2.127989076535295,
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- "total_flos": 1.438582110879744e+16,
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- "train_loss": 0.2186263353822884,
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- "train_runtime": 769.5598,
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- "train_samples_per_second": 316.869,
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- "train_steps_per_second": 9.941
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  }
 
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  {
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+ "epoch": 50.0,
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  "eval_loss": 0.7551774382591248,
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  "eval_runtime": 6.5379,
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  "eval_samples_per_second": 161.672,
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  "eval_steps_per_second": 5.2,
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  "perplexity": 2.127989076535295,
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+ "total_flos": 1.49878932701184e+17,
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+ "train_loss": 0.18437957987751993,
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+ "train_runtime": 7319.2549,
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+ "train_samples_per_second": 312.395,
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+ "train_steps_per_second": 9.769
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  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "epoch": 45.0,
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- "total_flos": 1.438582110879744e+16,
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- "train_loss": 0.2186263353822884,
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- "train_runtime": 769.5598,
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- "train_samples_per_second": 316.869,
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- "train_steps_per_second": 9.941
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  }
 
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  {
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+ "epoch": 50.0,
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+ "total_flos": 1.49878932701184e+17,
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+ "train_loss": 0.18437957987751993,
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+ "train_runtime": 7319.2549,
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+ "train_samples_per_second": 312.395,
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+ "train_steps_per_second": 9.769
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  }