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---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
datasets:
- super_glue
model-index:
- name: train_boolq_1745950280
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_boolq_1745950280
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 boolq dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3260
- Num Input Tokens Seen: 37097424
## 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: 0.3
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|:-----------------:|
| 0.3571 | 0.0943 | 200 | 0.3353 | 186768 |
| 0.6655 | 0.1886 | 400 | 1.2637 | 369808 |
| 0.4242 | 0.2829 | 600 | 0.3287 | 554928 |
| 0.2999 | 0.3772 | 800 | 0.3277 | 746560 |
| 0.3501 | 0.4715 | 1000 | 0.3283 | 932848 |
| 0.3099 | 0.5658 | 1200 | 0.3302 | 1116128 |
| 0.3801 | 0.6601 | 1400 | 0.3414 | 1299664 |
| 0.2952 | 0.7544 | 1600 | 0.3291 | 1481856 |
| 0.3585 | 0.8487 | 1800 | 0.3288 | 1672160 |
| 0.3976 | 0.9430 | 2000 | 0.3275 | 1860608 |
| 0.359 | 1.0372 | 2200 | 0.3295 | 2047984 |
| 0.2945 | 1.1315 | 2400 | 0.3282 | 2230960 |
| 0.3179 | 1.2258 | 2600 | 0.3287 | 2417664 |
| 0.3535 | 1.3201 | 2800 | 0.3271 | 2600368 |
| 0.2831 | 1.4144 | 3000 | 0.3374 | 2786848 |
| 0.3071 | 1.5087 | 3200 | 0.3292 | 2972672 |
| 0.3365 | 1.6030 | 3400 | 0.3338 | 3154640 |
| 0.3532 | 1.6973 | 3600 | 0.3458 | 3339328 |
| 0.3734 | 1.7916 | 3800 | 0.3275 | 3522384 |
| 0.294 | 1.8859 | 4000 | 0.3281 | 3712352 |
| 0.3144 | 1.9802 | 4200 | 0.3302 | 3899328 |
| 0.3425 | 2.0745 | 4400 | 0.3273 | 4085888 |
| 0.4222 | 2.1688 | 4600 | 0.3266 | 4271936 |
| 0.2797 | 2.2631 | 4800 | 0.3314 | 4456320 |
| 0.3179 | 2.3574 | 5000 | 0.3278 | 4638512 |
| 0.3202 | 2.4517 | 5200 | 0.3283 | 4830688 |
| 0.304 | 2.5460 | 5400 | 0.3269 | 5016480 |
| 0.3414 | 2.6403 | 5600 | 0.3288 | 5204048 |
| 0.3502 | 2.7346 | 5800 | 0.3281 | 5383984 |
| 0.376 | 2.8289 | 6000 | 0.3293 | 5574016 |
| 0.3344 | 2.9231 | 6200 | 0.3377 | 5761616 |
| 0.3395 | 3.0174 | 6400 | 0.3289 | 5948128 |
| 0.352 | 3.1117 | 6600 | 0.3286 | 6134304 |
| 0.3654 | 3.2060 | 6800 | 0.3271 | 6319616 |
| 0.3445 | 3.3003 | 7000 | 0.3292 | 6505744 |
| 0.3611 | 3.3946 | 7200 | 0.3290 | 6692208 |
| 0.3608 | 3.4889 | 7400 | 0.3350 | 6875616 |
| 0.3623 | 3.5832 | 7600 | 0.3289 | 7059472 |
| 0.2933 | 3.6775 | 7800 | 0.3278 | 7243472 |
| 0.3393 | 3.7718 | 8000 | 0.3299 | 7428048 |
| 0.3473 | 3.8661 | 8200 | 0.3291 | 7611184 |
| 0.3928 | 3.9604 | 8400 | 0.3353 | 7796112 |
| 0.3407 | 4.0547 | 8600 | 0.3320 | 7979520 |
| 0.3312 | 4.1490 | 8800 | 0.3279 | 8167776 |
| 0.2816 | 4.2433 | 9000 | 0.3280 | 8355856 |
| 0.3064 | 4.3376 | 9200 | 0.3321 | 8543120 |
| 0.3669 | 4.4319 | 9400 | 0.3272 | 8727088 |
| 0.3667 | 4.5262 | 9600 | 0.3289 | 8914992 |
| 0.5646 | 4.6205 | 9800 | 0.3886 | 9095040 |
| 0.3517 | 4.7148 | 10000 | 0.3328 | 9283072 |
| 0.3462 | 4.8091 | 10200 | 0.3449 | 9467600 |
| 0.3709 | 4.9033 | 10400 | 0.3676 | 9653456 |
| 0.3385 | 4.9976 | 10600 | 0.3286 | 9841232 |
| 0.3236 | 5.0919 | 10800 | 0.3289 | 10025504 |
| 0.3695 | 5.1862 | 11000 | 0.3284 | 10216464 |
| 0.2978 | 5.2805 | 11200 | 0.3291 | 10402448 |
| 0.2926 | 5.3748 | 11400 | 0.3312 | 10586976 |
| 0.3201 | 5.4691 | 11600 | 0.3283 | 10770896 |
| 0.3963 | 5.5634 | 11800 | 0.3280 | 10959424 |
| 0.3661 | 5.6577 | 12000 | 0.3312 | 11146816 |
| 0.3531 | 5.7520 | 12200 | 0.3316 | 11328528 |
| 0.3431 | 5.8463 | 12400 | 0.3332 | 11515600 |
| 0.2751 | 5.9406 | 12600 | 0.3284 | 11697056 |
| 0.3721 | 6.0349 | 12800 | 0.3386 | 11884336 |
| 0.3374 | 6.1292 | 13000 | 0.3296 | 12074128 |
| 0.3791 | 6.2235 | 13200 | 0.3321 | 12258064 |
| 0.3481 | 6.3178 | 13400 | 0.3273 | 12443248 |
| 0.2563 | 6.4121 | 13600 | 0.3305 | 12626480 |
| 0.2924 | 6.5064 | 13800 | 0.3275 | 12813808 |
| 0.343 | 6.6007 | 14000 | 0.3342 | 12998256 |
| 0.4058 | 6.6950 | 14200 | 0.3272 | 13180928 |
| 0.3372 | 6.7893 | 14400 | 0.3324 | 13364368 |
| 0.3641 | 6.8835 | 14600 | 0.3278 | 13552272 |
| 0.3362 | 6.9778 | 14800 | 0.3312 | 13735904 |
| 0.3351 | 7.0721 | 15000 | 0.3312 | 13924000 |
| 0.343 | 7.1664 | 15200 | 0.3343 | 14113184 |
| 0.348 | 7.2607 | 15400 | 0.3388 | 14295568 |
| 0.3783 | 7.3550 | 15600 | 0.3273 | 14480560 |
| 0.4022 | 7.4493 | 15800 | 0.3331 | 14664736 |
| 0.3086 | 7.5436 | 16000 | 0.3277 | 14852128 |
| 0.338 | 7.6379 | 16200 | 0.3275 | 15033840 |
| 0.3371 | 7.7322 | 16400 | 0.3274 | 15219136 |
| 0.3172 | 7.8265 | 16600 | 0.3261 | 15404160 |
| 0.3308 | 7.9208 | 16800 | 0.3270 | 15589632 |
| 0.2996 | 8.0151 | 17000 | 0.3276 | 15781760 |
| 0.3615 | 8.1094 | 17200 | 0.3266 | 15967648 |
| 0.264 | 8.2037 | 17400 | 0.3272 | 16155248 |
| 0.3241 | 8.2980 | 17600 | 0.3269 | 16343648 |
| 0.3462 | 8.3923 | 17800 | 0.3293 | 16523360 |
| 0.3463 | 8.4866 | 18000 | 0.3384 | 16709008 |
| 0.3472 | 8.5809 | 18200 | 0.3287 | 16893648 |
| 0.3603 | 8.6752 | 18400 | 0.3282 | 17079824 |
| 0.3141 | 8.7694 | 18600 | 0.3294 | 17265072 |
| 0.3251 | 8.8637 | 18800 | 0.3276 | 17445904 |
| 0.3337 | 8.9580 | 19000 | 0.3269 | 17631504 |
| 0.3541 | 9.0523 | 19200 | 0.3276 | 17818512 |
| 0.3245 | 9.1466 | 19400 | 0.3277 | 18005200 |
| 0.3733 | 9.2409 | 19600 | 0.3266 | 18190416 |
| 0.3328 | 9.3352 | 19800 | 0.3274 | 18373200 |
| 0.3801 | 9.4295 | 20000 | 0.3274 | 18556672 |
| 0.3399 | 9.5238 | 20200 | 0.3290 | 18742816 |
| 0.3368 | 9.6181 | 20400 | 0.3276 | 18930224 |
| 0.3135 | 9.7124 | 20600 | 0.3280 | 19115456 |
| 0.3251 | 9.8067 | 20800 | 0.3301 | 19296016 |
| 0.3095 | 9.9010 | 21000 | 0.3281 | 19482416 |
| 0.3491 | 9.9953 | 21200 | 0.3279 | 19668640 |
| 0.324 | 10.0896 | 21400 | 0.3267 | 19860880 |
| 0.3144 | 10.1839 | 21600 | 0.3266 | 20052672 |
| 0.335 | 10.2782 | 21800 | 0.3275 | 20236224 |
| 0.3269 | 10.3725 | 22000 | 0.3287 | 20421632 |
| 0.3284 | 10.4668 | 22200 | 0.3282 | 20608320 |
| 0.3202 | 10.5611 | 22400 | 0.3301 | 20788112 |
| 0.3279 | 10.6554 | 22600 | 0.3290 | 20969744 |
| 0.3447 | 10.7496 | 22800 | 0.3268 | 21151648 |
| 0.3432 | 10.8439 | 23000 | 0.3269 | 21335600 |
| 0.353 | 10.9382 | 23200 | 0.3271 | 21522352 |
| 0.3276 | 11.0325 | 23400 | 0.3275 | 21709568 |
| 0.325 | 11.1268 | 23600 | 0.3270 | 21894592 |
| 0.3204 | 11.2211 | 23800 | 0.3273 | 22079344 |
| 0.3423 | 11.3154 | 24000 | 0.3278 | 22269152 |
| 0.3098 | 11.4097 | 24200 | 0.3266 | 22451760 |
| 0.3876 | 11.5040 | 24400 | 0.3276 | 22639312 |
| 0.3428 | 11.5983 | 24600 | 0.3287 | 22821728 |
| 0.3634 | 11.6926 | 24800 | 0.3275 | 23005696 |
| 0.296 | 11.7869 | 25000 | 0.3260 | 23192112 |
| 0.3063 | 11.8812 | 25200 | 0.3262 | 23373840 |
| 0.3055 | 11.9755 | 25400 | 0.3281 | 23559968 |
| 0.3414 | 12.0698 | 25600 | 0.3334 | 23743680 |
| 0.3125 | 12.1641 | 25800 | 0.3279 | 23931472 |
| 0.3537 | 12.2584 | 26000 | 0.3308 | 24118800 |
| 0.3198 | 12.3527 | 26200 | 0.3270 | 24308976 |
| 0.2884 | 12.4470 | 26400 | 0.3279 | 24493584 |
| 0.3503 | 12.5413 | 26600 | 0.3273 | 24679264 |
| 0.3456 | 12.6355 | 26800 | 0.3280 | 24861136 |
| 0.3058 | 12.7298 | 27000 | 0.3267 | 25046496 |
| 0.3181 | 12.8241 | 27200 | 0.3272 | 25230592 |
| 0.3211 | 12.9184 | 27400 | 0.3268 | 25411904 |
| 0.3335 | 13.0127 | 27600 | 0.3284 | 25595280 |
| 0.3438 | 13.1070 | 27800 | 0.3360 | 25777696 |
| 0.3493 | 13.2013 | 28000 | 0.3276 | 25963552 |
| 0.3277 | 13.2956 | 28200 | 0.3268 | 26150464 |
| 0.3618 | 13.3899 | 28400 | 0.3277 | 26335552 |
| 0.3095 | 13.4842 | 28600 | 0.3290 | 26524096 |
| 0.3783 | 13.5785 | 28800 | 0.3298 | 26713392 |
| 0.3054 | 13.6728 | 29000 | 0.3292 | 26900464 |
| 0.3617 | 13.7671 | 29200 | 0.3308 | 27087040 |
| 0.3589 | 13.8614 | 29400 | 0.3291 | 27270960 |
| 0.3306 | 13.9557 | 29600 | 0.3292 | 27457936 |
| 0.3116 | 14.0500 | 29800 | 0.3331 | 27639216 |
| 0.3343 | 14.1443 | 30000 | 0.3289 | 27829056 |
| 0.363 | 14.2386 | 30200 | 0.3274 | 28019840 |
| 0.3075 | 14.3329 | 30400 | 0.3264 | 28205616 |
| 0.3307 | 14.4272 | 30600 | 0.3274 | 28390464 |
| 0.3363 | 14.5215 | 30800 | 0.3279 | 28571424 |
| 0.3314 | 14.6157 | 31000 | 0.3272 | 28758128 |
| 0.3598 | 14.7100 | 31200 | 0.3294 | 28942096 |
| 0.3207 | 14.8043 | 31400 | 0.3290 | 29127440 |
| 0.3102 | 14.8986 | 31600 | 0.3290 | 29310016 |
| 0.2936 | 14.9929 | 31800 | 0.3286 | 29497520 |
| 0.3225 | 15.0872 | 32000 | 0.3301 | 29680160 |
| 0.3111 | 15.1815 | 32200 | 0.3300 | 29872080 |
| 0.2723 | 15.2758 | 32400 | 0.3283 | 30060048 |
| 0.3502 | 15.3701 | 32600 | 0.3284 | 30243024 |
| 0.3462 | 15.4644 | 32800 | 0.3277 | 30433968 |
| 0.3086 | 15.5587 | 33000 | 0.3275 | 30617936 |
| 0.3572 | 15.6530 | 33200 | 0.3278 | 30802960 |
| 0.3382 | 15.7473 | 33400 | 0.3282 | 30985296 |
| 0.3195 | 15.8416 | 33600 | 0.3279 | 31168496 |
| 0.2936 | 15.9359 | 33800 | 0.3295 | 31350688 |
| 0.316 | 16.0302 | 34000 | 0.3288 | 31530704 |
| 0.3678 | 16.1245 | 34200 | 0.3289 | 31718960 |
| 0.3434 | 16.2188 | 34400 | 0.3285 | 31901696 |
| 0.3191 | 16.3131 | 34600 | 0.3290 | 32092528 |
| 0.2926 | 16.4074 | 34800 | 0.3287 | 32279920 |
| 0.3153 | 16.5017 | 35000 | 0.3287 | 32461952 |
| 0.3194 | 16.5959 | 35200 | 0.3286 | 32647696 |
| 0.2946 | 16.6902 | 35400 | 0.3288 | 32828656 |
| 0.3516 | 16.7845 | 35600 | 0.3290 | 33016320 |
| 0.3322 | 16.8788 | 35800 | 0.3295 | 33202224 |
| 0.2848 | 16.9731 | 36000 | 0.3288 | 33385424 |
| 0.3162 | 17.0674 | 36200 | 0.3279 | 33572672 |
| 0.3277 | 17.1617 | 36400 | 0.3288 | 33759120 |
| 0.3295 | 17.2560 | 36600 | 0.3283 | 33946224 |
| 0.3543 | 17.3503 | 36800 | 0.3300 | 34137504 |
| 0.291 | 17.4446 | 37000 | 0.3289 | 34322448 |
| 0.3199 | 17.5389 | 37200 | 0.3286 | 34506880 |
| 0.3043 | 17.6332 | 37400 | 0.3295 | 34692032 |
| 0.272 | 17.7275 | 37600 | 0.3287 | 34873984 |
| 0.3184 | 17.8218 | 37800 | 0.3295 | 35058576 |
| 0.296 | 17.9161 | 38000 | 0.3284 | 35245152 |
| 0.3044 | 18.0104 | 38200 | 0.3294 | 35431232 |
| 0.2966 | 18.1047 | 38400 | 0.3291 | 35615248 |
| 0.2675 | 18.1990 | 38600 | 0.3291 | 35798688 |
| 0.3953 | 18.2933 | 38800 | 0.3287 | 35984224 |
| 0.3121 | 18.3876 | 39000 | 0.3288 | 36168064 |
| 0.284 | 18.4818 | 39200 | 0.3287 | 36351216 |
| 0.3022 | 18.5761 | 39400 | 0.3288 | 36537456 |
| 0.3618 | 18.6704 | 39600 | 0.3286 | 36723376 |
| 0.3315 | 18.7647 | 39800 | 0.3283 | 36910256 |
| 0.3403 | 18.8590 | 40000 | 0.3286 | 37097424 |
### Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |