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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_multirc_1745950270
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_multirc_1745950270
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 multirc dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5283
- Num Input Tokens Seen: 83543088
## 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: 2
- eval_batch_size: 2
- seed: 123
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 1.8061 | 0.0326 | 200 | 2.6757 | 418192 |
| 1.6352 | 0.0653 | 400 | 2.5977 | 836224 |
| 3.1415 | 0.0979 | 600 | 2.5582 | 1258320 |
| 2.0399 | 0.1305 | 800 | 2.5548 | 1673984 |
| 1.762 | 0.1631 | 1000 | 2.5650 | 2097344 |
| 2.7923 | 0.1958 | 1200 | 2.5482 | 2515056 |
| 1.7457 | 0.2284 | 1400 | 2.5522 | 2943280 |
| 1.7453 | 0.2610 | 1600 | 2.5496 | 3360448 |
| 1.8503 | 0.2937 | 1800 | 2.5513 | 3782768 |
| 2.2157 | 0.3263 | 2000 | 2.5354 | 4205680 |
| 2.5347 | 0.3589 | 2200 | 2.5436 | 4620944 |
| 2.6464 | 0.3915 | 2400 | 2.5454 | 5037232 |
| 3.414 | 0.4242 | 2600 | 2.5461 | 5452736 |
| 4.0924 | 0.4568 | 2800 | 2.5363 | 5872752 |
| 1.594 | 0.4894 | 3000 | 2.5560 | 6285232 |
| 2.1049 | 0.5221 | 3200 | 2.5613 | 6699264 |
| 2.4132 | 0.5547 | 3400 | 2.5524 | 7118336 |
| 2.0952 | 0.5873 | 3600 | 2.5529 | 7533408 |
| 2.8358 | 0.6200 | 3800 | 2.5426 | 7950560 |
| 2.2672 | 0.6526 | 4000 | 2.5474 | 8372672 |
| 1.7307 | 0.6852 | 4200 | 2.5581 | 8796048 |
| 2.0188 | 0.7178 | 4400 | 2.5475 | 9210416 |
| 2.0703 | 0.7505 | 4600 | 2.5433 | 9628832 |
| 3.0207 | 0.7831 | 4800 | 2.5367 | 10048144 |
| 2.1577 | 0.8157 | 5000 | 2.5384 | 10460144 |
| 1.4574 | 0.8484 | 5200 | 2.5494 | 10871296 |
| 3.7552 | 0.8810 | 5400 | 2.5325 | 11287600 |
| 1.8036 | 0.9136 | 5600 | 2.5376 | 11707328 |
| 2.9821 | 0.9462 | 5800 | 2.5556 | 12120624 |
| 1.8289 | 0.9789 | 6000 | 2.5492 | 12542416 |
| 1.8497 | 1.0114 | 6200 | 2.5442 | 12963008 |
| 1.2982 | 1.0440 | 6400 | 2.5316 | 13388336 |
| 2.5333 | 1.0767 | 6600 | 2.5480 | 13816224 |
| 2.6627 | 1.1093 | 6800 | 2.5380 | 14228240 |
| 3.0394 | 1.1419 | 7000 | 2.5363 | 14637984 |
| 2.7862 | 1.1746 | 7200 | 2.5418 | 15049216 |
| 2.3596 | 1.2072 | 7400 | 2.5583 | 15471984 |
| 2.6311 | 1.2398 | 7600 | 2.5384 | 15891152 |
| 1.9245 | 1.2725 | 7800 | 2.5406 | 16309376 |
| 1.3522 | 1.3051 | 8000 | 2.5443 | 16729632 |
| 2.9042 | 1.3377 | 8200 | 2.5449 | 17139952 |
| 2.6583 | 1.3703 | 8400 | 2.5401 | 17557136 |
| 2.7435 | 1.4030 | 8600 | 2.5592 | 17974864 |
| 2.7448 | 1.4356 | 8800 | 2.5489 | 18394320 |
| 3.6386 | 1.4682 | 9000 | 2.5528 | 18820208 |
| 1.1522 | 1.5009 | 9200 | 2.5401 | 19244192 |
| 2.7058 | 1.5335 | 9400 | 2.5399 | 19654192 |
| 1.7284 | 1.5661 | 9600 | 2.5552 | 20077520 |
| 2.7139 | 1.5987 | 9800 | 2.5283 | 20493344 |
| 2.3272 | 1.6314 | 10000 | 2.5429 | 20912896 |
| 2.7251 | 1.6640 | 10200 | 2.5555 | 21328976 |
| 3.511 | 1.6966 | 10400 | 2.5309 | 21752192 |
| 2.7897 | 1.7293 | 10600 | 2.5391 | 22164912 |
| 2.4284 | 1.7619 | 10800 | 2.5455 | 22585216 |
| 2.028 | 1.7945 | 11000 | 2.5416 | 23005600 |
| 2.9135 | 1.8271 | 11200 | 2.5485 | 23413712 |
| 1.8818 | 1.8598 | 11400 | 2.5370 | 23827536 |
| 1.3497 | 1.8924 | 11600 | 2.5497 | 24242256 |
| 2.077 | 1.9250 | 11800 | 2.5323 | 24655408 |
| 2.8321 | 1.9577 | 12000 | 2.5416 | 25074096 |
| 1.0373 | 1.9903 | 12200 | 2.5359 | 25489056 |
| 1.368 | 2.0228 | 12400 | 2.5435 | 25898496 |
| 2.2438 | 2.0555 | 12600 | 2.5495 | 26319696 |
| 2.1512 | 2.0881 | 12800 | 2.5462 | 26744896 |
| 1.7513 | 2.1207 | 13000 | 2.5287 | 27166064 |
| 0.9243 | 2.1534 | 13200 | 2.5427 | 27581264 |
| 1.8392 | 2.1860 | 13400 | 2.5633 | 27988880 |
| 2.2886 | 2.2186 | 13600 | 2.5420 | 28397472 |
| 3.2633 | 2.2512 | 13800 | 2.5451 | 28812800 |
| 2.5096 | 2.2839 | 14000 | 2.5461 | 29222656 |
| 2.9558 | 2.3165 | 14200 | 2.5657 | 29642224 |
| 3.4931 | 2.3491 | 14400 | 2.5559 | 30064704 |
| 1.6007 | 2.3818 | 14600 | 2.5469 | 30481488 |
| 2.3649 | 2.4144 | 14800 | 2.5445 | 30900976 |
| 2.3624 | 2.4470 | 15000 | 2.5305 | 31321184 |
| 1.8445 | 2.4796 | 15200 | 2.5533 | 31730928 |
| 2.4441 | 2.5123 | 15400 | 2.5513 | 32146304 |
| 1.2673 | 2.5449 | 15600 | 2.5355 | 32566096 |
| 2.9281 | 2.5775 | 15800 | 2.5534 | 32981664 |
| 3.8721 | 2.6102 | 16000 | 2.5421 | 33403328 |
| 1.8551 | 2.6428 | 16200 | 2.5468 | 33827808 |
| 2.6711 | 2.6754 | 16400 | 2.5521 | 34245456 |
| 1.1239 | 2.7081 | 16600 | 2.5457 | 34673616 |
| 1.4874 | 2.7407 | 16800 | 2.5342 | 35089872 |
| 1.152 | 2.7733 | 17000 | 2.5512 | 35508944 |
| 2.1899 | 2.8059 | 17200 | 2.5564 | 35922144 |
| 3.1566 | 2.8386 | 17400 | 2.5408 | 36345856 |
| 1.2781 | 2.8712 | 17600 | 2.5483 | 36770688 |
| 2.3983 | 2.9038 | 17800 | 2.5336 | 37194864 |
| 1.9318 | 2.9365 | 18000 | 2.5379 | 37615344 |
| 1.6621 | 2.9691 | 18200 | 2.5444 | 38030400 |
| 2.3376 | 3.0016 | 18400 | 2.5351 | 38435312 |
| 3.3812 | 3.0343 | 18600 | 2.5402 | 38869040 |
| 2.2142 | 3.0669 | 18800 | 2.5482 | 39294832 |
| 2.0647 | 3.0995 | 19000 | 2.5384 | 39706928 |
| 2.2582 | 3.1321 | 19200 | 2.5614 | 40121472 |
| 2.1523 | 3.1648 | 19400 | 2.5427 | 40537792 |
| 3.2834 | 3.1974 | 19600 | 2.5321 | 40958928 |
| 2.2189 | 3.2300 | 19800 | 2.5436 | 41378128 |
| 3.4322 | 3.2627 | 20000 | 2.5374 | 41794480 |
| 3.3739 | 3.2953 | 20200 | 2.5433 | 42208144 |
| 2.6455 | 3.3279 | 20400 | 2.5355 | 42625520 |
| 2.4638 | 3.3606 | 20600 | 2.5472 | 43054848 |
| 0.7799 | 3.3932 | 20800 | 2.5442 | 43472928 |
| 1.9196 | 3.4258 | 21000 | 2.5403 | 43892704 |
| 2.9388 | 3.4584 | 21200 | 2.5528 | 44309408 |
| 1.287 | 3.4911 | 21400 | 2.5454 | 44724144 |
| 1.2195 | 3.5237 | 21600 | 2.5339 | 45143632 |
| 1.8093 | 3.5563 | 21800 | 2.5370 | 45567152 |
| 2.1424 | 3.5890 | 22000 | 2.5510 | 45983168 |
| 3.3381 | 3.6216 | 22200 | 2.5418 | 46401184 |
| 1.9925 | 3.6542 | 22400 | 2.5449 | 46813008 |
| 1.7949 | 3.6868 | 22600 | 2.5409 | 47233968 |
| 2.2354 | 3.7195 | 22800 | 2.5383 | 47650016 |
| 2.1881 | 3.7521 | 23000 | 2.5354 | 48064160 |
| 3.1696 | 3.7847 | 23200 | 2.5350 | 48484384 |
| 2.9062 | 3.8174 | 23400 | 2.5572 | 48897744 |
| 1.5842 | 3.8500 | 23600 | 2.5381 | 49308304 |
| 3.0507 | 3.8826 | 23800 | 2.5330 | 49728368 |
| 3.2435 | 3.9152 | 24000 | 2.5345 | 50140272 |
| 2.597 | 3.9479 | 24200 | 2.5380 | 50557680 |
| 2.3862 | 3.9805 | 24400 | 2.5573 | 50978512 |
| 2.1603 | 4.0131 | 24600 | 2.5403 | 51394160 |
| 2.1706 | 4.0457 | 24800 | 2.5451 | 51821712 |
| 1.6054 | 4.0783 | 25000 | 2.5288 | 52244608 |
| 2.0526 | 4.1109 | 25200 | 2.5517 | 52659888 |
| 1.658 | 4.1436 | 25400 | 2.5458 | 53073648 |
| 1.2321 | 4.1762 | 25600 | 2.5428 | 53493696 |
| 2.4438 | 4.2088 | 25800 | 2.5512 | 53907648 |
| 1.8597 | 4.2415 | 26000 | 2.5443 | 54327568 |
| 2.9831 | 4.2741 | 26200 | 2.5389 | 54743840 |
| 2.0809 | 4.3067 | 26400 | 2.5431 | 55158912 |
| 2.8693 | 4.3393 | 26600 | 2.5383 | 55575232 |
| 1.9899 | 4.3720 | 26800 | 2.5557 | 55994160 |
| 2.8289 | 4.4046 | 27000 | 2.5426 | 56410736 |
| 2.7897 | 4.4372 | 27200 | 2.5423 | 56838864 |
| 1.8468 | 4.4699 | 27400 | 2.5330 | 57245776 |
| 2.2285 | 4.5025 | 27600 | 2.5301 | 57651824 |
| 2.8184 | 4.5351 | 27800 | 2.5348 | 58060672 |
| 3.3468 | 4.5677 | 28000 | 2.5454 | 58475488 |
| 3.1295 | 4.6004 | 28200 | 2.5404 | 58898896 |
| 1.6093 | 4.6330 | 28400 | 2.5398 | 59318976 |
| 1.9266 | 4.6656 | 28600 | 2.5383 | 59739680 |
| 2.7749 | 4.6983 | 28800 | 2.5486 | 60159984 |
| 2.3452 | 4.7309 | 29000 | 2.5389 | 60579344 |
| 3.2174 | 4.7635 | 29200 | 2.5337 | 60992736 |
| 2.856 | 4.7961 | 29400 | 2.5531 | 61414080 |
| 3.9432 | 4.8288 | 29600 | 2.5470 | 61829776 |
| 2.0286 | 4.8614 | 29800 | 2.5465 | 62250704 |
| 1.1607 | 4.8940 | 30000 | 2.5402 | 62662656 |
| 1.9432 | 4.9267 | 30200 | 2.5602 | 63088352 |
| 2.651 | 4.9593 | 30400 | 2.5388 | 63504960 |
| 4.0587 | 4.9919 | 30600 | 2.5485 | 63926432 |
| 1.5048 | 5.0245 | 30800 | 2.5377 | 64346032 |
| 2.8357 | 5.0571 | 31000 | 2.5535 | 64764608 |
| 1.7275 | 5.0897 | 31200 | 2.5578 | 65180560 |
| 0.6242 | 5.1224 | 31400 | 2.5458 | 65600032 |
| 2.2156 | 5.1550 | 31600 | 2.5486 | 66007440 |
| 3.6034 | 5.1876 | 31800 | 2.5378 | 66416480 |
| 1.1157 | 5.2202 | 32000 | 2.5337 | 66829712 |
| 2.284 | 5.2529 | 32200 | 2.5511 | 67253936 |
| 1.9202 | 5.2855 | 32400 | 2.5335 | 67674048 |
| 2.2426 | 5.3181 | 32600 | 2.5446 | 68096656 |
| 2.4398 | 5.3508 | 32800 | 2.5287 | 68521600 |
| 3.0732 | 5.3834 | 33000 | 2.5504 | 68948064 |
| 3.9775 | 5.4160 | 33200 | 2.5293 | 69357008 |
| 2.9763 | 5.4486 | 33400 | 2.5489 | 69771824 |
| 4.1438 | 5.4813 | 33600 | 2.5422 | 70189824 |
| 1.7663 | 5.5139 | 33800 | 2.5325 | 70602704 |
| 2.9164 | 5.5465 | 34000 | 2.5480 | 71032768 |
| 3.1158 | 5.5792 | 34200 | 2.5471 | 71445488 |
| 1.7717 | 5.6118 | 34400 | 2.5390 | 71858096 |
| 2.4476 | 5.6444 | 34600 | 2.5338 | 72276272 |
| 1.8602 | 5.6771 | 34800 | 2.5324 | 72694032 |
| 2.1456 | 5.7097 | 35000 | 2.5467 | 73119856 |
| 2.6911 | 5.7423 | 35200 | 2.5467 | 73537984 |
| 1.2754 | 5.7749 | 35400 | 2.5464 | 73955216 |
| 1.6987 | 5.8076 | 35600 | 2.5390 | 74371040 |
| 1.9141 | 5.8402 | 35800 | 2.5438 | 74795680 |
| 2.1558 | 5.8728 | 36000 | 2.5439 | 75209824 |
| 2.556 | 5.9055 | 36200 | 2.5378 | 75634096 |
| 1.1027 | 5.9381 | 36400 | 2.5389 | 76046144 |
| 2.3357 | 5.9707 | 36600 | 2.5388 | 76453936 |
| 1.7899 | 6.0033 | 36800 | 2.5388 | 76873152 |
| 3.1736 | 6.0359 | 37000 | 2.5388 | 77290000 |
| 2.7029 | 6.0685 | 37200 | 2.5388 | 77708416 |
| 1.6779 | 6.1012 | 37400 | 2.5388 | 78124432 |
| 3.2998 | 6.1338 | 37600 | 2.5388 | 78542400 |
| 2.5407 | 6.1664 | 37800 | 2.5388 | 78968368 |
| 1.2663 | 6.1990 | 38000 | 2.5388 | 79378528 |
| 4.8279 | 6.2317 | 38200 | 2.5388 | 79802112 |
| 3.159 | 6.2643 | 38400 | 2.5388 | 80229344 |
| 1.9346 | 6.2969 | 38600 | 2.5388 | 80643632 |
| 1.6984 | 6.3296 | 38800 | 2.5388 | 81051936 |
| 3.1322 | 6.3622 | 39000 | 2.5388 | 81475504 |
| 3.2842 | 6.3948 | 39200 | 2.5388 | 81889856 |
| 2.8503 | 6.4274 | 39400 | 2.5388 | 82305408 |
| 2.0501 | 6.4601 | 39600 | 2.5388 | 82712800 |
| 2.6112 | 6.4927 | 39800 | 2.5388 | 83128704 |
| 2.4207 | 6.5253 | 40000 | 2.5388 | 83543088 |
### Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |