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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: tiiuae/falcon-7b |
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model-index: |
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- name: chkpts |
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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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# chkpts |
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This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1903 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 500 |
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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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| 0.6257 | 1.0 | 489 | 0.5854 | |
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| 0.3832 | 2.0 | 978 | 0.3878 | |
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| 0.3006 | 3.0 | 1467 | 0.3005 | |
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| 0.2695 | 4.0 | 1956 | 0.2657 | |
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| 0.246 | 5.0 | 2445 | 0.2465 | |
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| 0.2243 | 6.0 | 2934 | 0.2336 | |
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| 0.2258 | 7.0 | 3423 | 0.2200 | |
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| 0.2259 | 8.0 | 3912 | 0.2239 | |
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| 0.2189 | 9.0 | 4401 | 0.2181 | |
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| 0.216 | 10.0 | 4890 | 0.2179 | |
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| 0.2158 | 11.0 | 5379 | 0.2148 | |
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| 0.2118 | 12.0 | 5868 | 0.2139 | |
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| 0.2097 | 13.0 | 6357 | 0.2104 | |
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| 0.2053 | 14.0 | 6846 | 0.2075 | |
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| 0.2052 | 15.0 | 7335 | 0.2136 | |
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| 0.2063 | 16.0 | 7824 | 0.2079 | |
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| 0.2132 | 17.0 | 8313 | 0.2047 | |
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| 0.2081 | 18.0 | 8802 | 0.2046 | |
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| 0.2131 | 19.0 | 9291 | 0.2089 | |
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| 0.2046 | 20.0 | 9780 | 0.2067 | |
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| 0.2034 | 21.0 | 10269 | 0.2071 | |
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| 0.1982 | 22.0 | 10758 | 0.2028 | |
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| 0.203 | 23.0 | 11247 | 0.2005 | |
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| 0.2046 | 24.0 | 11736 | 0.2056 | |
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| 0.2049 | 25.0 | 12225 | 0.2033 | |
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| 0.2004 | 26.0 | 12714 | 0.2020 | |
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| 0.1998 | 27.0 | 13203 | 0.2015 | |
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| 0.2027 | 28.0 | 13692 | 0.1996 | |
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| 0.1927 | 29.0 | 14181 | 0.2013 | |
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| 0.1976 | 30.0 | 14670 | 0.2004 | |
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| 0.204 | 31.0 | 15159 | 0.1974 | |
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| 0.1965 | 32.0 | 15648 | 0.1997 | |
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| 0.1977 | 33.0 | 16137 | 0.1974 | |
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| 0.1932 | 34.0 | 16626 | 0.1967 | |
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| 0.1946 | 35.0 | 17115 | 0.1989 | |
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| 0.1989 | 36.0 | 17604 | 0.1976 | |
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| 0.199 | 37.0 | 18093 | 0.1975 | |
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| 0.1938 | 38.0 | 18582 | 0.1987 | |
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| 0.1982 | 39.0 | 19071 | 0.1973 | |
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| 0.2016 | 40.0 | 19560 | 0.1973 | |
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| 0.1971 | 41.0 | 20049 | 0.1985 | |
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| 0.194 | 42.0 | 20538 | 0.1975 | |
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| 0.1968 | 43.0 | 21027 | 0.1973 | |
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| 0.196 | 44.0 | 21516 | 0.1965 | |
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| 0.1939 | 45.0 | 22005 | 0.1965 | |
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| 0.1949 | 46.0 | 22494 | 0.1957 | |
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| 0.2005 | 47.0 | 22983 | 0.1965 | |
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| 0.1961 | 48.0 | 23472 | 0.1948 | |
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| 0.1894 | 49.0 | 23961 | 0.1949 | |
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| 0.1957 | 50.0 | 24450 | 0.1960 | |
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| 0.1986 | 51.0 | 24939 | 0.1969 | |
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| 0.1895 | 52.0 | 25428 | 0.1947 | |
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| 0.1906 | 53.0 | 25917 | 0.1945 | |
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| 0.1986 | 54.0 | 26406 | 0.1939 | |
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| 0.192 | 55.0 | 26895 | 0.1926 | |
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| 0.1857 | 56.0 | 27384 | 0.1942 | |
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| 0.1885 | 57.0 | 27873 | 0.1946 | |
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| 0.1923 | 58.0 | 28362 | 0.1947 | |
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| 0.1898 | 59.0 | 28851 | 0.1938 | |
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| 0.2003 | 60.0 | 29340 | 0.1940 | |
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| 0.1934 | 61.0 | 29829 | 0.1931 | |
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| 0.1946 | 62.0 | 30318 | 0.1928 | |
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| 0.205 | 63.0 | 30807 | 0.1928 | |
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| 0.1951 | 64.0 | 31296 | 0.1940 | |
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| 0.1926 | 65.0 | 31785 | 0.1932 | |
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| 0.1986 | 66.0 | 32274 | 0.1930 | |
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| 0.1918 | 67.0 | 32763 | 0.1921 | |
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| 0.1893 | 68.0 | 33252 | 0.1922 | |
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| 0.1879 | 69.0 | 33741 | 0.1928 | |
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| 0.2012 | 70.0 | 34230 | 0.1915 | |
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| 0.1934 | 71.0 | 34719 | 0.1922 | |
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| 0.1915 | 72.0 | 35208 | 0.1929 | |
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| 0.1967 | 73.0 | 35697 | 0.1920 | |
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| 0.19 | 74.0 | 36186 | 0.1924 | |
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| 0.2008 | 75.0 | 36675 | 0.1917 | |
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| 0.1953 | 76.0 | 37164 | 0.1912 | |
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| 0.1948 | 77.0 | 37653 | 0.1926 | |
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| 0.1898 | 78.0 | 38142 | 0.1919 | |
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| 0.1909 | 79.0 | 38631 | 0.1913 | |
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| 0.1895 | 80.0 | 39120 | 0.1917 | |
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| 0.1963 | 81.0 | 39609 | 0.1911 | |
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| 0.1946 | 82.0 | 40098 | 0.1912 | |
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| 0.1915 | 83.0 | 40587 | 0.1916 | |
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| 0.1858 | 84.0 | 41076 | 0.1914 | |
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| 0.1957 | 85.0 | 41565 | 0.1917 | |
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| 0.194 | 86.0 | 42054 | 0.1907 | |
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| 0.1832 | 87.0 | 42543 | 0.1913 | |
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| 0.1865 | 88.0 | 43032 | 0.1912 | |
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| 0.1886 | 89.0 | 43521 | 0.1913 | |
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| 0.1846 | 90.0 | 44010 | 0.1906 | |
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| 0.1896 | 91.0 | 44499 | 0.1905 | |
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| 0.1847 | 92.0 | 44988 | 0.1905 | |
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| 0.1843 | 93.0 | 45477 | 0.1907 | |
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| 0.1847 | 94.0 | 45966 | 0.1909 | |
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| 0.1925 | 95.0 | 46455 | 0.1905 | |
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| 0.1888 | 96.0 | 46944 | 0.1900 | |
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| 0.1808 | 97.0 | 47433 | 0.1904 | |
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| 0.1872 | 98.0 | 47922 | 0.1903 | |
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| 0.1849 | 99.0 | 48411 | 0.1902 | |
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| 0.1923 | 100.0 | 48900 | 0.1903 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
