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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: train_multirc_1745950269
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+ results: []
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+ ---
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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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+
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+ # train_multirc_1745950269
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4664
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+ - Num Input Tokens Seen: 83543088
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 123
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - training_steps: 40000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:------:|:-----:|:---------------:|:-----------------:|
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+ | 0.0113 | 0.0326 | 200 | 0.2798 | 418192 |
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+ | 0.0697 | 0.0653 | 400 | 0.1830 | 836224 |
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+ | 0.2851 | 0.0979 | 600 | 0.1521 | 1258320 |
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+ | 0.2035 | 0.1305 | 800 | 0.1581 | 1673984 |
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+ | 0.0041 | 0.1631 | 1000 | 0.2035 | 2097344 |
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+ | 0.3572 | 0.1958 | 1200 | 0.1916 | 2515056 |
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+ | 0.1074 | 0.2284 | 1400 | 0.1496 | 2943280 |
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+ | 0.1606 | 0.2610 | 1600 | 0.1806 | 3360448 |
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+ | 0.0993 | 0.2937 | 1800 | 0.1707 | 3782768 |
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+ | 0.1375 | 0.3263 | 2000 | 0.1442 | 4205680 |
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+ | 0.1541 | 0.3589 | 2200 | 0.1444 | 4620944 |
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+ | 0.2116 | 0.3915 | 2400 | 0.1864 | 5037232 |
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+ | 0.3319 | 0.4242 | 2600 | 0.1552 | 5452736 |
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+ | 0.2265 | 0.4568 | 2800 | 0.1455 | 5872752 |
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+ | 0.1954 | 0.4894 | 3000 | 0.1592 | 6285232 |
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+ | 0.2873 | 0.5221 | 3200 | 0.1588 | 6699264 |
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+ | 0.0138 | 0.5547 | 3400 | 0.1486 | 7118336 |
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+ | 0.1669 | 0.5873 | 3600 | 0.1723 | 7533408 |
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+ | 0.124 | 0.6200 | 3800 | 0.1317 | 7950560 |
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+ | 0.1481 | 0.6526 | 4000 | 0.1380 | 8372672 |
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+ | 0.0196 | 0.6852 | 4200 | 0.1157 | 8796048 |
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+ | 0.1814 | 0.7178 | 4400 | 0.1488 | 9210416 |
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+ | 0.1653 | 0.7505 | 4600 | 0.1333 | 9628832 |
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+ | 0.241 | 0.7831 | 4800 | 0.1242 | 10048144 |
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+ | 0.0181 | 0.8157 | 5000 | 0.1493 | 10460144 |
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+ | 0.0243 | 0.8484 | 5200 | 0.1234 | 10871296 |
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+ | 0.1245 | 0.8810 | 5400 | 0.1370 | 11287600 |
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+ | 0.2446 | 0.9136 | 5600 | 0.1320 | 11707328 |
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+ | 0.2901 | 0.9462 | 5800 | 0.1273 | 12120624 |
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+ | 0.0955 | 0.9789 | 6000 | 0.1295 | 12542416 |
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+ | 0.0052 | 1.0114 | 6200 | 0.1568 | 12963008 |
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+ | 0.2064 | 1.0440 | 6400 | 0.1729 | 13388336 |
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+ | 0.071 | 1.0767 | 6600 | 0.1439 | 13816224 |
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+ | 0.0787 | 1.1093 | 6800 | 0.1694 | 14228240 |
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+ | 0.0657 | 1.1419 | 7000 | 0.1550 | 14637984 |
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+ | 0.2013 | 1.1746 | 7200 | 0.1715 | 15049216 |
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+ | 0.0052 | 1.2072 | 7400 | 0.1548 | 15471984 |
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+ | 0.0925 | 1.2398 | 7600 | 0.1452 | 15891152 |
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+ | 0.0125 | 1.2725 | 7800 | 0.2135 | 16309376 |
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+ | 0.0858 | 1.3051 | 8000 | 0.1668 | 16729632 |
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+ | 0.0841 | 1.3377 | 8200 | 0.1945 | 17139952 |
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+ | 0.0364 | 1.3703 | 8400 | 0.1547 | 17557136 |
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+ | 0.1378 | 1.4030 | 8600 | 0.1450 | 17974864 |
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+ | 0.005 | 1.4356 | 8800 | 0.1707 | 18394320 |
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+ | 0.1035 | 1.4682 | 9000 | 0.1488 | 18820208 |
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+ | 0.0451 | 1.5009 | 9200 | 0.1394 | 19244192 |
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+ | 0.3724 | 1.5335 | 9400 | 0.1551 | 19654192 |
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+ | 0.1085 | 1.5661 | 9600 | 0.1922 | 20077520 |
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+ | 0.0831 | 1.5987 | 9800 | 0.1657 | 20493344 |
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+ | 0.2443 | 1.6314 | 10000 | 0.1582 | 20912896 |
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+ | 0.0936 | 1.6640 | 10200 | 0.1347 | 21328976 |
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+ | 0.0261 | 1.6966 | 10400 | 0.1755 | 21752192 |
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+ | 0.2039 | 1.7293 | 10600 | 0.1443 | 22164912 |
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+ | 0.0486 | 1.7619 | 10800 | 0.1490 | 22585216 |
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+ | 0.0843 | 1.7945 | 11000 | 0.1694 | 23005600 |
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+ | 0.0058 | 1.8271 | 11200 | 0.1557 | 23413712 |
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+ | 0.0047 | 1.8598 | 11400 | 0.1436 | 23827536 |
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+ | 0.2086 | 1.8924 | 11600 | 0.1559 | 24242256 |
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+ | 0.0027 | 1.9250 | 11800 | 0.1699 | 24655408 |
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+ | 0.0778 | 1.9577 | 12000 | 0.1558 | 25074096 |
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+ | 0.0059 | 1.9903 | 12200 | 0.1476 | 25489056 |
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+ | 0.0014 | 2.0228 | 12400 | 0.1600 | 25898496 |
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+ | 0.0158 | 2.0555 | 12600 | 0.2106 | 26319696 |
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+ | 0.0165 | 2.0881 | 12800 | 0.1959 | 26744896 |
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+ | 0.0005 | 2.1207 | 13000 | 0.2374 | 27166064 |
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+ | 0.004 | 2.1534 | 13200 | 0.1853 | 27581264 |
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+ | 0.0011 | 2.1860 | 13400 | 0.1947 | 27988880 |
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+ | 0.0002 | 2.2186 | 13600 | 0.2499 | 28397472 |
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+ | 0.0168 | 2.2512 | 13800 | 0.1901 | 28812800 |
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+ | 0.0001 | 2.2839 | 14000 | 0.2586 | 29222656 |
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+ | 0.0001 | 2.3165 | 14200 | 0.3163 | 29642224 |
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+ | 0.1603 | 2.3491 | 14400 | 0.2307 | 30064704 |
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+ | 0.1898 | 2.3818 | 14600 | 0.2378 | 30481488 |
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+ | 0.1174 | 2.4144 | 14800 | 0.2040 | 30900976 |
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+ | 0.0628 | 2.4470 | 15000 | 0.2144 | 31321184 |
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+ | 0.1108 | 2.4796 | 15200 | 0.1984 | 31730928 |
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+ | 0.0002 | 2.5123 | 15400 | 0.2570 | 32146304 |
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+ | 0.0005 | 2.5449 | 15600 | 0.2321 | 32566096 |
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+ | 0.0246 | 2.5775 | 15800 | 0.2028 | 32981664 |
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+ | 0.0003 | 2.6102 | 16000 | 0.2327 | 33403328 |
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+ | 0.2709 | 2.6428 | 16200 | 0.2117 | 33827808 |
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+ | 0.005 | 2.6754 | 16400 | 0.2098 | 34245456 |
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+ | 0.0064 | 2.7081 | 16600 | 0.1721 | 34673616 |
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+ | 0.0018 | 2.7407 | 16800 | 0.1828 | 35089872 |
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+ | 0.0011 | 2.7733 | 17000 | 0.2057 | 35508944 |
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+ | 0.0014 | 2.8059 | 17200 | 0.2124 | 35922144 |
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+ | 0.1437 | 2.8386 | 17400 | 0.1937 | 36345856 |
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+ | 0.0005 | 2.8712 | 17600 | 0.2340 | 36770688 |
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+ | 0.1045 | 2.9038 | 17800 | 0.2172 | 37194864 |
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+ | 0.0649 | 2.9365 | 18000 | 0.2250 | 37615344 |
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+ | 0.0107 | 2.9691 | 18200 | 0.2105 | 38030400 |
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+ | 0.0331 | 3.0016 | 18400 | 0.2211 | 38435312 |
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+ | 0.0001 | 3.0343 | 18600 | 0.2377 | 38869040 |
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+ | 0.0243 | 3.0669 | 18800 | 0.2421 | 39294832 |
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+ | 0.0002 | 3.0995 | 19000 | 0.2706 | 39706928 |
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+ | 0.2407 | 3.1321 | 19200 | 0.2776 | 40121472 |
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+ | 0.0004 | 3.1648 | 19400 | 0.2393 | 40537792 |
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+ | 0.0506 | 3.1974 | 19600 | 0.2951 | 40958928 |
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+ | 0.0002 | 3.2300 | 19800 | 0.2875 | 41378128 |
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+ | 0.0021 | 3.2627 | 20000 | 0.3018 | 41794480 |
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+ | 0.0001 | 3.2953 | 20200 | 0.3098 | 42208144 |
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+ | 0.0001 | 3.3279 | 20400 | 0.3503 | 42625520 |
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+ | 0.0001 | 3.3606 | 20600 | 0.2909 | 43054848 |
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+ | 0.012 | 3.3932 | 20800 | 0.2706 | 43472928 |
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+ | 0.0002 | 3.4258 | 21000 | 0.3231 | 43892704 |
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+ | 0.0003 | 3.4584 | 21200 | 0.2886 | 44309408 |
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+ | 0.0005 | 3.4911 | 21400 | 0.2651 | 44724144 |
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+ | 0.0003 | 3.5237 | 21600 | 0.3133 | 45143632 |
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+ | 0.0001 | 3.5563 | 21800 | 0.2885 | 45567152 |
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+ | 0.0001 | 3.5890 | 22000 | 0.2738 | 45983168 |
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+ | 0.0 | 3.6216 | 22200 | 0.2961 | 46401184 |
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+ | 0.0003 | 3.6542 | 22400 | 0.2744 | 46813008 |
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+ | 0.0002 | 3.6868 | 22600 | 0.2702 | 47233968 |
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+ | 0.0002 | 3.7195 | 22800 | 0.3225 | 47650016 |
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+ | 0.0758 | 3.7521 | 23000 | 0.2688 | 48064160 |
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+ | 0.0 | 3.7847 | 23200 | 0.2761 | 48484384 |
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+ | 0.1798 | 3.8174 | 23400 | 0.2953 | 48897744 |
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+ | 0.1346 | 3.8500 | 23600 | 0.3381 | 49308304 |
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+ | 0.197 | 3.8826 | 23800 | 0.2902 | 49728368 |
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+ | 0.0533 | 3.9152 | 24000 | 0.2847 | 50140272 |
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+ | 0.0002 | 3.9479 | 24200 | 0.3053 | 50557680 |
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+ | 0.0975 | 3.9805 | 24400 | 0.2720 | 50978512 |
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+ | 0.0015 | 4.0131 | 24600 | 0.2766 | 51394160 |
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+ | 0.0005 | 4.0457 | 24800 | 0.3133 | 51821712 |
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+ | 0.0001 | 4.0783 | 25000 | 0.2890 | 52244608 |
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+ | 0.0007 | 4.1109 | 25200 | 0.3039 | 52659888 |
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+ | 0.0063 | 4.1436 | 25400 | 0.3546 | 53073648 |
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+ | 0.1907 | 4.1762 | 25600 | 0.3111 | 53493696 |
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+ | 0.0271 | 4.2088 | 25800 | 0.3361 | 53907648 |
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+ | 0.0 | 4.2415 | 26000 | 0.3252 | 54327568 |
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+ | 0.0001 | 4.2741 | 26200 | 0.3320 | 54743840 |
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+ | 0.0 | 4.3067 | 26400 | 0.3365 | 55158912 |
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+ | 0.0 | 4.3393 | 26600 | 0.3589 | 55575232 |
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+ | 0.0 | 4.3720 | 26800 | 0.3632 | 55994160 |
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+ | 0.0822 | 4.4046 | 27000 | 0.3358 | 56410736 |
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+ | 0.0 | 4.4372 | 27200 | 0.3637 | 56838864 |
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+ | 0.0 | 4.4699 | 27400 | 0.3515 | 57245776 |
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+ | 0.0002 | 4.5025 | 27600 | 0.3249 | 57651824 |
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+ | 0.0 | 4.5351 | 27800 | 0.3735 | 58060672 |
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+ | 0.0001 | 4.5677 | 28000 | 0.3742 | 58475488 |
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+ | 0.0006 | 4.6004 | 28200 | 0.3669 | 58898896 |
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+ | 0.0 | 4.6330 | 28400 | 0.3762 | 59318976 |
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+ | 0.0002 | 4.6656 | 28600 | 0.3225 | 59739680 |
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+ | 0.1191 | 4.6983 | 28800 | 0.3088 | 60159984 |
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+ | 0.0013 | 4.7309 | 29000 | 0.3189 | 60579344 |
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+ | 0.0001 | 4.7635 | 29200 | 0.3283 | 60992736 |
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+ | 0.0 | 4.7961 | 29400 | 0.3397 | 61414080 |
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+ | 0.0 | 4.8288 | 29600 | 0.3435 | 61829776 |
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+ | 0.0 | 4.8614 | 29800 | 0.3347 | 62250704 |
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+ | 0.0 | 4.8940 | 30000 | 0.3409 | 62662656 |
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+ | 0.0004 | 4.9267 | 30200 | 0.3360 | 63088352 |
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+ | 0.0 | 4.9593 | 30400 | 0.3415 | 63504960 |
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+ | 0.0 | 4.9919 | 30600 | 0.3232 | 63926432 |
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+ | 0.0001 | 5.0245 | 30800 | 0.3433 | 64346032 |
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+ | 0.0 | 5.0571 | 31000 | 0.3483 | 64764608 |
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+ | 0.0 | 5.0897 | 31200 | 0.3647 | 65180560 |
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+ | 0.0 | 5.1224 | 31400 | 0.3892 | 65600032 |
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+ | 0.0 | 5.1550 | 31600 | 0.3872 | 66007440 |
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+ | 0.0 | 5.1876 | 31800 | 0.3801 | 66416480 |
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+ | 0.0 | 5.2202 | 32000 | 0.4072 | 66829712 |
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+ | 0.0 | 5.2529 | 32200 | 0.4245 | 67253936 |
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+ | 0.0 | 5.2855 | 32400 | 0.4272 | 67674048 |
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+ | 0.0225 | 5.3181 | 32600 | 0.4200 | 68096656 |
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+ | 0.0 | 5.3508 | 32800 | 0.4149 | 68521600 |
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+ | 0.0 | 5.3834 | 33000 | 0.4281 | 68948064 |
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+ | 0.0 | 5.4160 | 33200 | 0.4336 | 69357008 |
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+ | 0.0 | 5.4486 | 33400 | 0.4486 | 69771824 |
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+ | 0.0 | 5.4813 | 33600 | 0.4598 | 70189824 |
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+ | 0.0 | 5.5139 | 33800 | 0.4637 | 70602704 |
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+ | 0.0 | 5.5465 | 34000 | 0.4664 | 71032768 |
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+ | 0.0 | 5.5792 | 34200 | 0.4400 | 71445488 |
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+ | 0.0 | 5.6118 | 34400 | 0.4436 | 71858096 |
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+ | 0.0 | 5.6444 | 34600 | 0.4491 | 72276272 |
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+ | 0.0 | 5.6771 | 34800 | 0.4542 | 72694032 |
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+ | 0.0 | 5.7097 | 35000 | 0.4580 | 73119856 |
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+ | 0.0 | 5.7423 | 35200 | 0.4651 | 73537984 |
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+ | 0.0 | 5.7749 | 35400 | 0.4555 | 73955216 |
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+ | 0.0 | 5.8076 | 35600 | 0.4615 | 74371040 |
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+ | 0.0 | 5.8402 | 35800 | 0.4651 | 74795680 |
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+ | 0.0 | 5.8728 | 36000 | 0.4621 | 75209824 |
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+ | 0.0 | 5.9055 | 36200 | 0.4590 | 75634096 |
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+ | 0.0 | 5.9381 | 36400 | 0.4607 | 76046144 |
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+ | 0.0 | 5.9707 | 36600 | 0.4630 | 76453936 |
237
+ | 0.0 | 6.0033 | 36800 | 0.4584 | 76873152 |
238
+ | 0.0 | 6.0359 | 37000 | 0.4591 | 77290000 |
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+ | 0.0 | 6.0685 | 37200 | 0.4631 | 77708416 |
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+ | 0.0 | 6.1012 | 37400 | 0.4647 | 78124432 |
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+ | 0.0 | 6.1338 | 37600 | 0.4641 | 78542400 |
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+ | 0.0 | 6.1664 | 37800 | 0.4622 | 78968368 |
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+ | 0.0 | 6.1990 | 38000 | 0.4641 | 79378528 |
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+ | 0.0 | 6.2317 | 38200 | 0.4642 | 79802112 |
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+ | 0.0 | 6.2643 | 38400 | 0.4647 | 80229344 |
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+ | 0.0 | 6.2969 | 38600 | 0.4646 | 80643632 |
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+ | 0.0 | 6.3296 | 38800 | 0.4660 | 81051936 |
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+ | 0.0 | 6.3622 | 39000 | 0.4661 | 81475504 |
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+ | 0.0 | 6.3948 | 39200 | 0.4664 | 81889856 |
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+ | 0.0 | 6.4274 | 39400 | 0.4665 | 82305408 |
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+ | 0.0 | 6.4601 | 39600 | 0.4654 | 82712800 |
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+ | 0.0 | 6.4927 | 39800 | 0.4659 | 83128704 |
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+ | 0.0 | 6.5253 | 40000 | 0.4664 | 83543088 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2.dev0
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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