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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_multirc_1745950264
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_1745950264
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the multirc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3193
- Num Input Tokens Seen: 75778784
## 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.4564 | 0.0326 | 200 | 0.4853 | 378944 |
| 0.3723 | 0.0653 | 400 | 0.3704 | 758192 |
| 0.3559 | 0.0979 | 600 | 0.3773 | 1141408 |
| 0.3491 | 0.1305 | 800 | 0.3604 | 1518336 |
| 0.3909 | 0.1631 | 1000 | 0.3607 | 1901264 |
| 0.3915 | 0.1958 | 1200 | 0.3488 | 2279552 |
| 0.3655 | 0.2284 | 1400 | 0.3567 | 2668256 |
| 0.375 | 0.2610 | 1600 | 0.3505 | 3047328 |
| 0.4324 | 0.2937 | 1800 | 0.4502 | 3429984 |
| 0.3761 | 0.3263 | 2000 | 0.4696 | 3814576 |
| 0.3441 | 0.3589 | 2200 | 0.3639 | 4190352 |
| 0.3423 | 0.3915 | 2400 | 0.3468 | 4567440 |
| 0.3596 | 0.4242 | 2600 | 0.3570 | 4944384 |
| 0.3747 | 0.4568 | 2800 | 0.3450 | 5325216 |
| 0.3322 | 0.4894 | 3000 | 0.4611 | 5698896 |
| 0.3631 | 0.5221 | 3200 | 0.3524 | 6074432 |
| 0.357 | 0.5547 | 3400 | 0.3523 | 6454208 |
| 0.3337 | 0.5873 | 3600 | 0.3636 | 6831056 |
| 0.3765 | 0.6200 | 3800 | 0.3738 | 7209536 |
| 0.3645 | 0.6526 | 4000 | 0.4008 | 7593024 |
| 0.3501 | 0.6852 | 4200 | 0.3490 | 7977072 |
| 0.3648 | 0.7178 | 4400 | 0.3519 | 8353296 |
| 0.3577 | 0.7505 | 4600 | 0.3439 | 8733232 |
| 0.3691 | 0.7831 | 4800 | 0.3404 | 9113632 |
| 0.3779 | 0.8157 | 5000 | 0.3713 | 9487952 |
| 0.3499 | 0.8484 | 5200 | 0.3861 | 9861104 |
| 0.3244 | 0.8810 | 5400 | 0.3939 | 10239088 |
| 0.3561 | 0.9136 | 5600 | 0.3590 | 10619840 |
| 0.4045 | 0.9462 | 5800 | 0.3432 | 10994720 |
| 0.3709 | 0.9789 | 6000 | 0.3536 | 11376976 |
| 0.3859 | 1.0114 | 6200 | 0.3500 | 11758656 |
| 0.4941 | 1.0440 | 6400 | 0.3453 | 12144016 |
| 0.373 | 1.0767 | 6600 | 0.3695 | 12531776 |
| 0.3413 | 1.1093 | 6800 | 0.3387 | 12905136 |
| 0.4019 | 1.1419 | 7000 | 0.3544 | 13278096 |
| 0.3835 | 1.1746 | 7200 | 0.4184 | 13651520 |
| 0.3365 | 1.2072 | 7400 | 0.3427 | 14034784 |
| 0.3167 | 1.2398 | 7600 | 0.3402 | 14415120 |
| 0.3442 | 1.2725 | 7800 | 0.3339 | 14794784 |
| 0.3655 | 1.3051 | 8000 | 0.3357 | 15176240 |
| 0.3667 | 1.3377 | 8200 | 0.3359 | 15548080 |
| 0.3315 | 1.3703 | 8400 | 0.3355 | 15926832 |
| 0.3966 | 1.4030 | 8600 | 0.3776 | 16305344 |
| 0.3021 | 1.4356 | 8800 | 0.3357 | 16686528 |
| 0.3295 | 1.4682 | 9000 | 0.3456 | 17073648 |
| 0.3563 | 1.5009 | 9200 | 0.3692 | 17457952 |
| 0.3424 | 1.5335 | 9400 | 0.3505 | 17831104 |
| 0.3343 | 1.5661 | 9600 | 0.3346 | 18215168 |
| 0.3255 | 1.5987 | 9800 | 0.3486 | 18592816 |
| 0.3551 | 1.6314 | 10000 | 0.3564 | 18972864 |
| 0.3223 | 1.6640 | 10200 | 0.3309 | 19350160 |
| 0.3489 | 1.6966 | 10400 | 0.3513 | 19735024 |
| 0.2748 | 1.7293 | 10600 | 0.3290 | 20108768 |
| 0.3823 | 1.7619 | 10800 | 0.3371 | 20489424 |
| 0.3643 | 1.7945 | 11000 | 0.3394 | 20870832 |
| 0.3802 | 1.8271 | 11200 | 0.3317 | 21240960 |
| 0.3923 | 1.8598 | 11400 | 0.3403 | 21615744 |
| 0.3803 | 1.8924 | 11600 | 0.3289 | 21991984 |
| 0.3738 | 1.9250 | 11800 | 0.3350 | 22366624 |
| 0.3144 | 1.9577 | 12000 | 0.3476 | 22746000 |
| 0.3205 | 1.9903 | 12200 | 0.3514 | 23122688 |
| 0.3868 | 2.0228 | 12400 | 0.3390 | 23494112 |
| 0.3732 | 2.0555 | 12600 | 0.3319 | 23876160 |
| 0.3627 | 2.0881 | 12800 | 0.3286 | 24261904 |
| 0.3366 | 2.1207 | 13000 | 0.3427 | 24643776 |
| 0.3541 | 2.1534 | 13200 | 0.3607 | 25020496 |
| 0.3233 | 2.1860 | 13400 | 0.3272 | 25391072 |
| 0.3341 | 2.2186 | 13600 | 0.3402 | 25762416 |
| 0.3562 | 2.2512 | 13800 | 0.3296 | 26139456 |
| 0.3395 | 2.2839 | 14000 | 0.3311 | 26511344 |
| 0.3766 | 2.3165 | 14200 | 0.3433 | 26891616 |
| 0.3558 | 2.3491 | 14400 | 0.3296 | 27274960 |
| 0.3056 | 2.3818 | 14600 | 0.4714 | 27652224 |
| 0.3646 | 2.4144 | 14800 | 0.3235 | 28033168 |
| 0.3433 | 2.4470 | 15000 | 0.3337 | 28414784 |
| 0.3656 | 2.4796 | 15200 | 0.3255 | 28787168 |
| 0.3642 | 2.5123 | 15400 | 0.3283 | 29164512 |
| 0.3603 | 2.5449 | 15600 | 0.3529 | 29545056 |
| 0.3109 | 2.5775 | 15800 | 0.3305 | 29922176 |
| 0.3171 | 2.6102 | 16000 | 0.3256 | 30304336 |
| 0.3595 | 2.6428 | 16200 | 0.3384 | 30688608 |
| 0.2938 | 2.6754 | 16400 | 0.3256 | 31067744 |
| 0.3434 | 2.7081 | 16600 | 0.3326 | 31455328 |
| 0.3638 | 2.7407 | 16800 | 0.3246 | 31833136 |
| 0.3623 | 2.7733 | 17000 | 0.3232 | 32213296 |
| 0.3703 | 2.8059 | 17200 | 0.3346 | 32588128 |
| 0.3248 | 2.8386 | 17400 | 0.3223 | 32971552 |
| 0.3379 | 2.8712 | 17600 | 0.3280 | 33356064 |
| 0.3434 | 2.9038 | 17800 | 0.3244 | 33739984 |
| 0.288 | 2.9365 | 18000 | 0.3247 | 34121824 |
| 0.3275 | 2.9691 | 18200 | 0.3452 | 34498368 |
| 0.2901 | 3.0016 | 18400 | 0.3241 | 34866272 |
| 0.3238 | 3.0343 | 18600 | 0.3236 | 35258768 |
| 0.3617 | 3.0669 | 18800 | 0.3654 | 35644416 |
| 0.3463 | 3.0995 | 19000 | 0.3730 | 36017808 |
| 0.3218 | 3.1321 | 19200 | 0.3243 | 36393536 |
| 0.3652 | 3.1648 | 19400 | 0.3416 | 36770432 |
| 0.3161 | 3.1974 | 19600 | 0.3264 | 37152448 |
| 0.3487 | 3.2300 | 19800 | 0.3428 | 37532496 |
| 0.3284 | 3.2627 | 20000 | 0.3321 | 37910480 |
| 0.3752 | 3.2953 | 20200 | 0.3265 | 38286080 |
| 0.3216 | 3.3279 | 20400 | 0.3320 | 38664512 |
| 0.3357 | 3.3606 | 20600 | 0.3293 | 39053472 |
| 0.3281 | 3.3932 | 20800 | 0.3502 | 39432032 |
| 0.3459 | 3.4258 | 21000 | 0.3226 | 39812704 |
| 0.3314 | 3.4584 | 21200 | 0.3277 | 40191088 |
| 0.422 | 3.4911 | 21400 | 0.3282 | 40567216 |
| 0.3273 | 3.5237 | 21600 | 0.3569 | 40947696 |
| 0.2933 | 3.5563 | 21800 | 0.3224 | 41330624 |
| 0.4252 | 3.5890 | 22000 | 0.3256 | 41708800 |
| 0.3007 | 3.6216 | 22200 | 0.3229 | 42087824 |
| 0.324 | 3.6542 | 22400 | 0.3247 | 42461936 |
| 0.3796 | 3.6868 | 22600 | 0.3240 | 42843696 |
| 0.2865 | 3.7195 | 22800 | 0.3220 | 43221120 |
| 0.3379 | 3.7521 | 23000 | 0.3212 | 43597776 |
| 0.3036 | 3.7847 | 23200 | 0.3242 | 43979312 |
| 0.3774 | 3.8174 | 23400 | 0.3328 | 44354480 |
| 0.3691 | 3.8500 | 23600 | 0.3250 | 44727696 |
| 0.361 | 3.8826 | 23800 | 0.3240 | 45108608 |
| 0.3729 | 3.9152 | 24000 | 0.3245 | 45482928 |
| 0.3025 | 3.9479 | 24200 | 0.3228 | 45861584 |
| 0.3069 | 3.9805 | 24400 | 0.3221 | 46243072 |
| 0.338 | 4.0131 | 24600 | 0.3205 | 46619680 |
| 0.3089 | 4.0457 | 24800 | 0.3210 | 47007360 |
| 0.2882 | 4.0783 | 25000 | 0.3292 | 47391600 |
| 0.3406 | 4.1109 | 25200 | 0.3224 | 47768320 |
| 0.3066 | 4.1436 | 25400 | 0.3206 | 48143424 |
| 0.4355 | 4.1762 | 25600 | 0.3240 | 48524368 |
| 0.3275 | 4.2088 | 25800 | 0.3205 | 48899856 |
| 0.2758 | 4.2415 | 26000 | 0.3293 | 49280208 |
| 0.3199 | 4.2741 | 26200 | 0.3263 | 49658080 |
| 0.3332 | 4.3067 | 26400 | 0.3221 | 50034848 |
| 0.3795 | 4.3393 | 26600 | 0.3269 | 50413376 |
| 0.3959 | 4.3720 | 26800 | 0.3216 | 50793248 |
| 0.3603 | 4.4046 | 27000 | 0.3215 | 51170976 |
| 0.321 | 4.4372 | 27200 | 0.3250 | 51559504 |
| 0.3445 | 4.4699 | 27400 | 0.3210 | 51928704 |
| 0.3458 | 4.5025 | 27600 | 0.3215 | 52297776 |
| 0.2784 | 4.5351 | 27800 | 0.3208 | 52669472 |
| 0.3428 | 4.5677 | 28000 | 0.3275 | 53045856 |
| 0.3063 | 4.6004 | 28200 | 0.3216 | 53429232 |
| 0.2983 | 4.6330 | 28400 | 0.3279 | 53810560 |
| 0.319 | 4.6656 | 28600 | 0.3227 | 54191536 |
| 0.3985 | 4.6983 | 28800 | 0.3220 | 54572176 |
| 0.3425 | 4.7309 | 29000 | 0.3200 | 54952896 |
| 0.236 | 4.7635 | 29200 | 0.3214 | 55327776 |
| 0.3071 | 4.7961 | 29400 | 0.3208 | 55708896 |
| 0.3007 | 4.8288 | 29600 | 0.3212 | 56085712 |
| 0.3351 | 4.8614 | 29800 | 0.3227 | 56467376 |
| 0.3147 | 4.8940 | 30000 | 0.3314 | 56841328 |
| 0.3661 | 4.9267 | 30200 | 0.3220 | 57227184 |
| 0.2419 | 4.9593 | 30400 | 0.3258 | 57605632 |
| 0.3353 | 4.9919 | 30600 | 0.3199 | 57987472 |
| 0.335 | 5.0245 | 30800 | 0.3206 | 58367056 |
| 0.3406 | 5.0571 | 31000 | 0.3249 | 58746720 |
| 0.3194 | 5.0897 | 31200 | 0.3243 | 59124272 |
| 0.3977 | 5.1224 | 31400 | 0.3198 | 59504688 |
| 0.26 | 5.1550 | 31600 | 0.3204 | 59875840 |
| 0.3123 | 5.1876 | 31800 | 0.3194 | 60247360 |
| 0.3155 | 5.2202 | 32000 | 0.3232 | 60622464 |
| 0.3201 | 5.2529 | 32200 | 0.3215 | 61006768 |
| 0.3427 | 5.2855 | 32400 | 0.3200 | 61386992 |
| 0.3274 | 5.3181 | 32600 | 0.3216 | 61770000 |
| 0.3653 | 5.3508 | 32800 | 0.3199 | 62154640 |
| 0.2958 | 5.3834 | 33000 | 0.3205 | 62541664 |
| 0.2897 | 5.4160 | 33200 | 0.3193 | 62912976 |
| 0.3029 | 5.4486 | 33400 | 0.3222 | 63289520 |
| 0.3473 | 5.4813 | 33600 | 0.3204 | 63668416 |
| 0.2732 | 5.5139 | 33800 | 0.3205 | 64043792 |
| 0.3241 | 5.5465 | 34000 | 0.3200 | 64433840 |
| 0.2618 | 5.5792 | 34200 | 0.3214 | 64808624 |
| 0.2975 | 5.6118 | 34400 | 0.3199 | 65182704 |
| 0.326 | 5.6444 | 34600 | 0.3209 | 65562192 |
| 0.3478 | 5.6771 | 34800 | 0.3232 | 65940816 |
| 0.3652 | 5.7097 | 35000 | 0.3198 | 66326768 |
| 0.3207 | 5.7423 | 35200 | 0.3226 | 66705744 |
| 0.3184 | 5.7749 | 35400 | 0.3231 | 67084928 |
| 0.3183 | 5.8076 | 35600 | 0.3237 | 67462064 |
| 0.2891 | 5.8402 | 35800 | 0.3237 | 67846112 |
| 0.3224 | 5.8728 | 36000 | 0.3218 | 68221552 |
| 0.2998 | 5.9055 | 36200 | 0.3216 | 68606416 |
| 0.3256 | 5.9381 | 36400 | 0.3235 | 68980176 |
| 0.3077 | 5.9707 | 36600 | 0.3209 | 69349984 |
| 0.2706 | 6.0033 | 36800 | 0.3216 | 69729984 |
| 0.3618 | 6.0359 | 37000 | 0.3231 | 70107936 |
| 0.3143 | 6.0685 | 37200 | 0.3212 | 70487856 |
| 0.3113 | 6.1012 | 37400 | 0.3203 | 70865792 |
| 0.2601 | 6.1338 | 37600 | 0.3201 | 71244784 |
| 0.3489 | 6.1664 | 37800 | 0.3193 | 71630704 |
| 0.2823 | 6.1990 | 38000 | 0.3195 | 72002688 |
| 0.3585 | 6.2317 | 38200 | 0.3198 | 72385776 |
| 0.2892 | 6.2643 | 38400 | 0.3207 | 72773152 |
| 0.3261 | 6.2969 | 38600 | 0.3205 | 73149584 |
| 0.274 | 6.3296 | 38800 | 0.3197 | 73519536 |
| 0.2749 | 6.3622 | 39000 | 0.3201 | 73902896 |
| 0.3728 | 6.3948 | 39200 | 0.3206 | 74278960 |
| 0.3704 | 6.4274 | 39400 | 0.3205 | 74655728 |
| 0.2959 | 6.4601 | 39600 | 0.3202 | 75025808 |
| 0.321 | 6.4927 | 39800 | 0.3202 | 75402576 |
| 0.2811 | 6.5253 | 40000 | 0.3206 | 75778784 |
### Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |