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---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
tags:
- llama-factory
- lntuning
- generated_from_trainer
model-index:
- name: train_stsb_1745333597
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_stsb_1745333597
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the stsb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2672
- Num Input Tokens Seen: 61177152
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- training_steps: 40000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:--------:|:-----:|:---------------:|:-----------------:|
| 1.585 | 0.6182 | 200 | 1.6706 | 304960 |
| 0.8688 | 1.2349 | 400 | 0.9288 | 610112 |
| 0.7313 | 1.8532 | 600 | 0.7213 | 918240 |
| 0.5594 | 2.4699 | 800 | 0.6223 | 1223440 |
| 0.5123 | 3.0866 | 1000 | 0.5666 | 1529568 |
| 0.6423 | 3.7048 | 1200 | 0.5304 | 1838464 |
| 0.4786 | 4.3215 | 1400 | 0.5007 | 2144560 |
| 0.4309 | 4.9397 | 1600 | 0.4772 | 2450736 |
| 0.3631 | 5.5564 | 1800 | 0.4542 | 2755856 |
| 0.3999 | 6.1731 | 2000 | 0.4361 | 3063440 |
| 0.3943 | 6.7913 | 2200 | 0.4218 | 3368976 |
| 0.3871 | 7.4080 | 2400 | 0.4086 | 3677040 |
| 0.301 | 8.0247 | 2600 | 0.3979 | 3983872 |
| 0.402 | 8.6430 | 2800 | 0.3875 | 4292480 |
| 0.3267 | 9.2597 | 3000 | 0.3802 | 4594560 |
| 0.304 | 9.8779 | 3200 | 0.3731 | 4900544 |
| 0.2844 | 10.4946 | 3400 | 0.3671 | 5206928 |
| 0.2721 | 11.1113 | 3600 | 0.3614 | 5511472 |
| 0.3163 | 11.7295 | 3800 | 0.3571 | 5815280 |
| 0.2565 | 12.3462 | 4000 | 0.3520 | 6122240 |
| 0.3282 | 12.9645 | 4200 | 0.3491 | 6427616 |
| 0.2975 | 13.5811 | 4400 | 0.3457 | 6733776 |
| 0.2807 | 14.1978 | 4600 | 0.3424 | 7038848 |
| 0.3327 | 14.8161 | 4800 | 0.3407 | 7344384 |
| 0.2291 | 15.4328 | 5000 | 0.3364 | 7651280 |
| 0.2319 | 16.0495 | 5200 | 0.3341 | 7955504 |
| 0.2366 | 16.6677 | 5400 | 0.3320 | 8262864 |
| 0.2756 | 17.2844 | 5600 | 0.3281 | 8568256 |
| 0.2911 | 17.9026 | 5800 | 0.3263 | 8873856 |
| 0.2603 | 18.5193 | 6000 | 0.3249 | 9180288 |
| 0.2363 | 19.1360 | 6200 | 0.3226 | 9486288 |
| 0.2801 | 19.7543 | 6400 | 0.3202 | 9792720 |
| 0.2232 | 20.3709 | 6600 | 0.3184 | 10100576 |
| 0.2155 | 20.9892 | 6800 | 0.3165 | 10406848 |
| 0.2464 | 21.6059 | 7000 | 0.3152 | 10713296 |
| 0.2812 | 22.2226 | 7200 | 0.3126 | 11016800 |
| 0.2069 | 22.8408 | 7400 | 0.3121 | 11325536 |
| 0.2316 | 23.4575 | 7600 | 0.3092 | 11631392 |
| 0.2594 | 24.0742 | 7800 | 0.3088 | 11936144 |
| 0.2298 | 24.6924 | 8000 | 0.3072 | 12244560 |
| 0.2299 | 25.3091 | 8200 | 0.3063 | 12549728 |
| 0.2479 | 25.9274 | 8400 | 0.3049 | 12858400 |
| 0.2615 | 26.5440 | 8600 | 0.3026 | 13163216 |
| 0.2499 | 27.1607 | 8800 | 0.3028 | 13469440 |
| 0.2869 | 27.7790 | 9000 | 0.3005 | 13774400 |
| 0.2175 | 28.3957 | 9200 | 0.2990 | 14082512 |
| 0.2517 | 29.0124 | 9400 | 0.2969 | 14385408 |
| 0.2257 | 29.6306 | 9600 | 0.2969 | 14692096 |
| 0.2787 | 30.2473 | 9800 | 0.2941 | 14996480 |
| 0.244 | 30.8655 | 10000 | 0.2930 | 15302624 |
| 0.2476 | 31.4822 | 10200 | 0.2940 | 15609936 |
| 0.2283 | 32.0989 | 10400 | 0.2914 | 15915040 |
| 0.2542 | 32.7172 | 10600 | 0.2917 | 16222112 |
| 0.1897 | 33.3338 | 10800 | 0.2906 | 16525360 |
| 0.2081 | 33.9521 | 11000 | 0.2892 | 16833040 |
| 0.1956 | 34.5688 | 11200 | 0.2886 | 17138928 |
| 0.2216 | 35.1855 | 11400 | 0.2881 | 17446224 |
| 0.2565 | 35.8037 | 11600 | 0.2875 | 17754192 |
| 0.2367 | 36.4204 | 11800 | 0.2870 | 18056816 |
| 0.218 | 37.0371 | 12000 | 0.2860 | 18365904 |
| 0.2416 | 37.6553 | 12200 | 0.2870 | 18669424 |
| 0.2194 | 38.2720 | 12400 | 0.2838 | 18975680 |
| 0.2615 | 38.8903 | 12600 | 0.2848 | 19284128 |
| 0.2299 | 39.5070 | 12800 | 0.2833 | 19589440 |
| 0.2019 | 40.1236 | 13000 | 0.2837 | 19892304 |
| 0.2313 | 40.7419 | 13200 | 0.2832 | 20201904 |
| 0.2054 | 41.3586 | 13400 | 0.2817 | 20507296 |
| 0.2196 | 41.9768 | 13600 | 0.2827 | 20814240 |
| 0.2243 | 42.5935 | 13800 | 0.2816 | 21117472 |
| 0.2293 | 43.2102 | 14000 | 0.2812 | 21424352 |
| 0.2336 | 43.8284 | 14200 | 0.2808 | 21729344 |
| 0.2159 | 44.4451 | 14400 | 0.2797 | 22035168 |
| 0.2103 | 45.0618 | 14600 | 0.2822 | 22341904 |
| 0.1983 | 45.6801 | 14800 | 0.2792 | 22646640 |
| 0.1967 | 46.2968 | 15000 | 0.2792 | 22952944 |
| 0.2025 | 46.9150 | 15200 | 0.2787 | 23260240 |
| 0.2189 | 47.5317 | 15400 | 0.2775 | 23566048 |
| 0.1989 | 48.1484 | 15600 | 0.2789 | 23871504 |
| 0.2509 | 48.7666 | 15800 | 0.2784 | 24175696 |
| 0.2322 | 49.3833 | 16000 | 0.2776 | 24480832 |
| 0.1908 | 50.0 | 16200 | 0.2772 | 24786896 |
| 0.2339 | 50.6182 | 16400 | 0.2766 | 25092208 |
| 0.2459 | 51.2349 | 16600 | 0.2752 | 25398288 |
| 0.2095 | 51.8532 | 16800 | 0.2773 | 25707024 |
| 0.2175 | 52.4699 | 17000 | 0.2757 | 26010848 |
| 0.2199 | 53.0866 | 17200 | 0.2758 | 26319616 |
| 0.2214 | 53.7048 | 17400 | 0.2761 | 26623232 |
| 0.1734 | 54.3215 | 17600 | 0.2755 | 26932512 |
| 0.1936 | 54.9397 | 17800 | 0.2750 | 27238304 |
| 0.2362 | 55.5564 | 18000 | 0.2747 | 27542688 |
| 0.2488 | 56.1731 | 18200 | 0.2735 | 27848608 |
| 0.2768 | 56.7913 | 18400 | 0.2747 | 28156128 |
| 0.2003 | 57.4080 | 18600 | 0.2731 | 28463824 |
| 0.2049 | 58.0247 | 18800 | 0.2735 | 28768304 |
| 0.2042 | 58.6430 | 19000 | 0.2742 | 29076400 |
| 0.1949 | 59.2597 | 19200 | 0.2723 | 29381968 |
| 0.2597 | 59.8779 | 19400 | 0.2728 | 29688144 |
| 0.1911 | 60.4946 | 19600 | 0.2727 | 29993744 |
| 0.2989 | 61.1113 | 19800 | 0.2730 | 30299024 |
| 0.2307 | 61.7295 | 20000 | 0.2713 | 30604816 |
| 0.2132 | 62.3462 | 20200 | 0.2711 | 30909520 |
| 0.2025 | 62.9645 | 20400 | 0.2708 | 31217744 |
| 0.1913 | 63.5811 | 20600 | 0.2718 | 31523296 |
| 0.2067 | 64.1978 | 20800 | 0.2716 | 31827424 |
| 0.21 | 64.8161 | 21000 | 0.2715 | 32135904 |
| 0.2766 | 65.4328 | 21200 | 0.2720 | 32439120 |
| 0.2451 | 66.0495 | 21400 | 0.2702 | 32747712 |
| 0.2197 | 66.6677 | 21600 | 0.2712 | 33052672 |
| 0.194 | 67.2844 | 21800 | 0.2714 | 33358560 |
| 0.3033 | 67.9026 | 22000 | 0.2706 | 33664736 |
| 0.2009 | 68.5193 | 22200 | 0.2703 | 33967392 |
| 0.2498 | 69.1360 | 22400 | 0.2704 | 34272592 |
| 0.1621 | 69.7543 | 22600 | 0.2701 | 34578896 |
| 0.195 | 70.3709 | 22800 | 0.2705 | 34883440 |
| 0.1973 | 70.9892 | 23000 | 0.2705 | 35188496 |
| 0.1933 | 71.6059 | 23200 | 0.2704 | 35492880 |
| 0.2729 | 72.2226 | 23400 | 0.2700 | 35798304 |
| 0.1747 | 72.8408 | 23600 | 0.2696 | 36105856 |
| 0.2 | 73.4575 | 23800 | 0.2707 | 36408816 |
| 0.2111 | 74.0742 | 24000 | 0.2704 | 36716560 |
| 0.2246 | 74.6924 | 24200 | 0.2701 | 37025168 |
| 0.2221 | 75.3091 | 24400 | 0.2697 | 37330368 |
| 0.1618 | 75.9274 | 24600 | 0.2701 | 37636736 |
| 0.2182 | 76.5440 | 24800 | 0.2708 | 37941312 |
| 0.1839 | 77.1607 | 25000 | 0.2692 | 38246144 |
| 0.2182 | 77.7790 | 25200 | 0.2696 | 38552576 |
| 0.2574 | 78.3957 | 25400 | 0.2693 | 38857104 |
| 0.2218 | 79.0124 | 25600 | 0.2694 | 39165040 |
| 0.195 | 79.6306 | 25800 | 0.2697 | 39472304 |
| 0.2723 | 80.2473 | 26000 | 0.2694 | 39777616 |
| 0.1793 | 80.8655 | 26200 | 0.2686 | 40084368 |
| 0.2347 | 81.4822 | 26400 | 0.2695 | 40388032 |
| 0.2275 | 82.0989 | 26600 | 0.2689 | 40694320 |
| 0.2472 | 82.7172 | 26800 | 0.2694 | 41001712 |
| 0.1955 | 83.3338 | 27000 | 0.2695 | 41305200 |
| 0.2043 | 83.9521 | 27200 | 0.2689 | 41615216 |
| 0.2068 | 84.5688 | 27400 | 0.2686 | 41920400 |
| 0.1841 | 85.1855 | 27600 | 0.2688 | 42224944 |
| 0.2023 | 85.8037 | 27800 | 0.2685 | 42528304 |
| 0.2246 | 86.4204 | 28000 | 0.2689 | 42836528 |
| 0.2481 | 87.0371 | 28200 | 0.2688 | 43141440 |
| 0.2264 | 87.6553 | 28400 | 0.2689 | 43445216 |
| 0.2422 | 88.2720 | 28600 | 0.2690 | 43750304 |
| 0.2099 | 88.8903 | 28800 | 0.2694 | 44055584 |
| 0.184 | 89.5070 | 29000 | 0.2691 | 44361616 |
| 0.1706 | 90.1236 | 29200 | 0.2688 | 44665936 |
| 0.1789 | 90.7419 | 29400 | 0.2687 | 44972144 |
| 0.1712 | 91.3586 | 29600 | 0.2686 | 45276416 |
| 0.2374 | 91.9768 | 29800 | 0.2673 | 45583712 |
| 0.2056 | 92.5935 | 30000 | 0.2682 | 45888688 |
| 0.2039 | 93.2102 | 30200 | 0.2687 | 46195456 |
| 0.2168 | 93.8284 | 30400 | 0.2687 | 46500288 |
| 0.1978 | 94.4451 | 30600 | 0.2686 | 46804992 |
| 0.1926 | 95.0618 | 30800 | 0.2681 | 47112576 |
| 0.1924 | 95.6801 | 31000 | 0.2681 | 47418816 |
| 0.2219 | 96.2968 | 31200 | 0.2682 | 47723232 |
| 0.1808 | 96.9150 | 31400 | 0.2676 | 48029888 |
| 0.2036 | 97.5317 | 31600 | 0.2682 | 48335504 |
| 0.1953 | 98.1484 | 31800 | 0.2672 | 48640352 |
| 0.1881 | 98.7666 | 32000 | 0.2678 | 48945632 |
| 0.2039 | 99.3833 | 32200 | 0.2684 | 49253952 |
| 0.2225 | 100.0 | 32400 | 0.2686 | 49557760 |
| 0.1741 | 100.6182 | 32600 | 0.2682 | 49863392 |
| 0.215 | 101.2349 | 32800 | 0.2683 | 50171184 |
| 0.2238 | 101.8532 | 33000 | 0.2677 | 50477424 |
| 0.1865 | 102.4699 | 33200 | 0.2690 | 50781472 |
| 0.2435 | 103.0866 | 33400 | 0.2682 | 51085008 |
| 0.2154 | 103.7048 | 33600 | 0.2681 | 51393296 |
| 0.2316 | 104.3215 | 33800 | 0.2682 | 51697808 |
| 0.2218 | 104.9397 | 34000 | 0.2679 | 52004880 |
| 0.2111 | 105.5564 | 34200 | 0.2678 | 52308944 |
| 0.1829 | 106.1731 | 34400 | 0.2675 | 52616512 |
| 0.2021 | 106.7913 | 34600 | 0.2681 | 52921600 |
| 0.1654 | 107.4080 | 34800 | 0.2681 | 53227040 |
| 0.2224 | 108.0247 | 35000 | 0.2683 | 53533488 |
| 0.1734 | 108.6430 | 35200 | 0.2684 | 53838704 |
| 0.216 | 109.2597 | 35400 | 0.2679 | 54143984 |
| 0.2126 | 109.8779 | 35600 | 0.2679 | 54449808 |
| 0.1928 | 110.4946 | 35800 | 0.2683 | 54754304 |
| 0.2473 | 111.1113 | 36000 | 0.2687 | 55060864 |
| 0.1758 | 111.7295 | 36200 | 0.2683 | 55367296 |
| 0.18 | 112.3462 | 36400 | 0.2680 | 55670672 |
| 0.2415 | 112.9645 | 36600 | 0.2685 | 55978256 |
| 0.2101 | 113.5811 | 36800 | 0.2682 | 56283024 |
| 0.1895 | 114.1978 | 37000 | 0.2678 | 56590928 |
| 0.2001 | 114.8161 | 37200 | 0.2679 | 56897936 |
| 0.1694 | 115.4328 | 37400 | 0.2681 | 57200192 |
| 0.2303 | 116.0495 | 37600 | 0.2680 | 57505872 |
| 0.1875 | 116.6677 | 37800 | 0.2680 | 57811120 |
| 0.1778 | 117.2844 | 38000 | 0.2679 | 58116320 |
| 0.2041 | 117.9026 | 38200 | 0.2685 | 58425376 |
| 0.2168 | 118.5193 | 38400 | 0.2682 | 58732208 |
| 0.2001 | 119.1360 | 38600 | 0.2681 | 59038688 |
| 0.1972 | 119.7543 | 38800 | 0.2686 | 59342656 |
| 0.1867 | 120.3709 | 39000 | 0.2676 | 59647664 |
| 0.2079 | 120.9892 | 39200 | 0.2682 | 59954128 |
| 0.2577 | 121.6059 | 39400 | 0.2679 | 60260256 |
| 0.1986 | 122.2226 | 39600 | 0.2684 | 60563120 |
| 0.1949 | 122.8408 | 39800 | 0.2681 | 60870320 |
| 0.1989 | 123.4575 | 40000 | 0.2680 | 61177152 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |