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Browse files- README.md +262 -0
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README.md
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| 1 |
+
---
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| 2 |
+
library_name: peft
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| 3 |
+
license: llama3
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| 4 |
+
base_model: meta-llama/Meta-Llama-3-8B-Instruct
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| 5 |
+
tags:
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| 6 |
+
- llama-factory
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| 7 |
+
- generated_from_trainer
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| 8 |
+
model-index:
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| 9 |
+
- name: train_mrpc_1744902648
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| 10 |
+
results: []
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 14 |
+
should probably proofread and complete it, then remove this comment. -->
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| 15 |
+
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| 16 |
+
# train_mrpc_1744902648
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| 17 |
+
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| 18 |
+
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 an unknown dataset.
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| 19 |
+
It achieves the following results on the evaluation set:
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| 20 |
+
- Loss: 0.7646
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| 21 |
+
- Num Input Tokens Seen: 65784064
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| 22 |
+
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| 23 |
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## Model description
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| 24 |
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| 25 |
+
More information needed
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| 27 |
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## Intended uses & limitations
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| 28 |
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| 29 |
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More information needed
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| 30 |
+
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| 31 |
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## Training and evaluation data
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| 32 |
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| 33 |
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More information needed
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| 34 |
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| 35 |
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## Training procedure
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| 36 |
+
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| 37 |
+
### Training hyperparameters
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| 38 |
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| 39 |
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The following hyperparameters were used during training:
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| 40 |
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- learning_rate: 5e-05
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| 41 |
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- train_batch_size: 4
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| 42 |
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- eval_batch_size: 4
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| 43 |
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- seed: 123
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| 44 |
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- gradient_accumulation_steps: 4
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| 45 |
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- total_train_batch_size: 16
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| 46 |
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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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| 47 |
+
- lr_scheduler_type: cosine
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| 48 |
+
- training_steps: 40000
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| 49 |
+
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| 50 |
+
### Training results
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| 51 |
+
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| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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| 53 |
+
|:-------------:|:--------:|:-----:|:---------------:|:-----------------:|
|
| 54 |
+
| 0.1106 | 0.9685 | 200 | 0.1064 | 329312 |
|
| 55 |
+
| 0.0966 | 1.9395 | 400 | 0.0891 | 658560 |
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| 56 |
+
| 0.0443 | 2.9104 | 600 | 0.1089 | 987040 |
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| 57 |
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| 0.0131 | 3.8814 | 800 | 0.1504 | 1316448 |
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| 58 |
+
| 0.0289 | 4.8523 | 1000 | 0.1821 | 1644608 |
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| 59 |
+
| 0.0025 | 5.8232 | 1200 | 0.2576 | 1974016 |
|
| 60 |
+
| 0.008 | 6.7942 | 1400 | 0.3106 | 2303584 |
|
| 61 |
+
| 0.0004 | 7.7651 | 1600 | 0.3199 | 2630688 |
|
| 62 |
+
| 0.0002 | 8.7361 | 1800 | 0.2740 | 2959808 |
|
| 63 |
+
| 0.0002 | 9.7070 | 2000 | 0.3280 | 3287584 |
|
| 64 |
+
| 0.0 | 10.6780 | 2200 | 0.4333 | 3617920 |
|
| 65 |
+
| 0.0002 | 11.6489 | 2400 | 0.3073 | 3945536 |
|
| 66 |
+
| 0.0257 | 12.6199 | 2600 | 0.3878 | 4274560 |
|
| 67 |
+
| 0.0 | 13.5908 | 2800 | 0.4039 | 4603168 |
|
| 68 |
+
| 0.0001 | 14.5617 | 3000 | 0.2973 | 4932448 |
|
| 69 |
+
| 0.0002 | 15.5327 | 3200 | 0.3028 | 5261312 |
|
| 70 |
+
| 0.0 | 16.5036 | 3400 | 0.3795 | 5589632 |
|
| 71 |
+
| 0.0038 | 17.4746 | 3600 | 0.3876 | 5918112 |
|
| 72 |
+
| 0.0 | 18.4455 | 3800 | 0.4295 | 6246368 |
|
| 73 |
+
| 0.0001 | 19.4165 | 4000 | 0.2873 | 6574848 |
|
| 74 |
+
| 0.0006 | 20.3874 | 4200 | 0.2986 | 6903520 |
|
| 75 |
+
| 0.0264 | 21.3584 | 4400 | 0.3412 | 7231904 |
|
| 76 |
+
| 0.0 | 22.3293 | 4600 | 0.3748 | 7561504 |
|
| 77 |
+
| 0.0 | 23.3002 | 4800 | 0.3126 | 7890912 |
|
| 78 |
+
| 0.0 | 24.2712 | 5000 | 0.4661 | 8218592 |
|
| 79 |
+
| 0.0 | 25.2421 | 5200 | 0.4051 | 8548256 |
|
| 80 |
+
| 0.0 | 26.2131 | 5400 | 0.3985 | 8876704 |
|
| 81 |
+
| 0.0 | 27.1840 | 5600 | 0.4093 | 9206272 |
|
| 82 |
+
| 0.0 | 28.1550 | 5800 | 0.5023 | 9534720 |
|
| 83 |
+
| 0.0 | 29.1259 | 6000 | 0.6251 | 9864384 |
|
| 84 |
+
| 0.0 | 30.0969 | 6200 | 0.5468 | 10193376 |
|
| 85 |
+
| 0.0 | 31.0678 | 6400 | 0.5096 | 10521952 |
|
| 86 |
+
| 0.0 | 32.0387 | 6600 | 0.4967 | 10851520 |
|
| 87 |
+
| 0.0259 | 33.0097 | 6800 | 0.3423 | 11180544 |
|
| 88 |
+
| 0.0002 | 33.9782 | 7000 | 0.4065 | 11509344 |
|
| 89 |
+
| 0.0022 | 34.9492 | 7200 | 0.5055 | 11838208 |
|
| 90 |
+
| 0.001 | 35.9201 | 7400 | 0.5989 | 12167872 |
|
| 91 |
+
| 0.0 | 36.8910 | 7600 | 0.4378 | 12496352 |
|
| 92 |
+
| 0.0001 | 37.8620 | 7800 | 0.4385 | 12826048 |
|
| 93 |
+
| 0.0 | 38.8329 | 8000 | 0.4288 | 13155040 |
|
| 94 |
+
| 0.0001 | 39.8039 | 8200 | 0.3511 | 13483008 |
|
| 95 |
+
| 0.0691 | 40.7748 | 8400 | 0.3293 | 13812064 |
|
| 96 |
+
| 0.0 | 41.7458 | 8600 | 0.4061 | 14140576 |
|
| 97 |
+
| 0.0 | 42.7167 | 8800 | 0.7182 | 14469248 |
|
| 98 |
+
| 0.0 | 43.6877 | 9000 | 0.7030 | 14796672 |
|
| 99 |
+
| 0.0 | 44.6586 | 9200 | 0.7233 | 15126752 |
|
| 100 |
+
| 0.0 | 45.6295 | 9400 | 0.7333 | 15456160 |
|
| 101 |
+
| 0.0 | 46.6005 | 9600 | 0.7361 | 15784928 |
|
| 102 |
+
| 0.0 | 47.5714 | 9800 | 0.7361 | 16113248 |
|
| 103 |
+
| 0.0 | 48.5424 | 10000 | 0.7378 | 16442496 |
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| 104 |
+
| 0.0 | 49.5133 | 10200 | 0.7399 | 16772640 |
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| 105 |
+
| 0.0 | 50.4843 | 10400 | 0.7485 | 17100000 |
|
| 106 |
+
| 0.0 | 51.4552 | 10600 | 0.7461 | 17428768 |
|
| 107 |
+
| 0.0 | 52.4262 | 10800 | 0.7470 | 17757344 |
|
| 108 |
+
| 0.0 | 53.3971 | 11000 | 0.7524 | 18085920 |
|
| 109 |
+
| 0.0 | 54.3680 | 11200 | 0.7506 | 18414336 |
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| 110 |
+
| 0.0 | 55.3390 | 11400 | 0.7482 | 18743040 |
|
| 111 |
+
| 0.0 | 56.3099 | 11600 | 0.7565 | 19072928 |
|
| 112 |
+
| 0.0 | 57.2809 | 11800 | 0.7587 | 19401376 |
|
| 113 |
+
| 0.0 | 58.2518 | 12000 | 0.7549 | 19730336 |
|
| 114 |
+
| 0.0 | 59.2228 | 12200 | 0.7610 | 20059488 |
|
| 115 |
+
| 0.0 | 60.1937 | 12400 | 0.7590 | 20388064 |
|
| 116 |
+
| 0.0 | 61.1646 | 12600 | 0.7599 | 20718144 |
|
| 117 |
+
| 0.0 | 62.1356 | 12800 | 0.7611 | 21048224 |
|
| 118 |
+
| 0.0 | 63.1065 | 13000 | 0.7668 | 21376576 |
|
| 119 |
+
| 0.0 | 64.0775 | 13200 | 0.7647 | 21706080 |
|
| 120 |
+
| 0.0 | 65.0484 | 13400 | 0.7649 | 22034624 |
|
| 121 |
+
| 0.0 | 66.0194 | 13600 | 0.7699 | 22364128 |
|
| 122 |
+
| 0.0 | 66.9879 | 13800 | 0.7647 | 22692352 |
|
| 123 |
+
| 0.0 | 67.9588 | 14000 | 0.7653 | 23020864 |
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| 124 |
+
| 0.0 | 68.9298 | 14200 | 0.7652 | 23349920 |
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| 125 |
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| 0.0 | 69.9007 | 14400 | 0.7689 | 23679072 |
|
| 126 |
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| 0.0 | 70.8717 | 14600 | 0.7608 | 24007776 |
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| 127 |
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| 0.0 | 71.8426 | 14800 | 0.7702 | 24336640 |
|
| 128 |
+
| 0.0 | 72.8136 | 15000 | 0.7735 | 24664576 |
|
| 129 |
+
| 0.0 | 73.7845 | 15200 | 0.7627 | 24994848 |
|
| 130 |
+
| 0.0 | 74.7554 | 15400 | 0.7694 | 25322720 |
|
| 131 |
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| 0.0 | 75.7264 | 15600 | 0.7660 | 25650784 |
|
| 132 |
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| 0.0 | 76.6973 | 15800 | 0.7703 | 25980512 |
|
| 133 |
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| 0.0 | 77.6683 | 16000 | 0.7700 | 26309536 |
|
| 134 |
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| 0.0 | 78.6392 | 16200 | 0.7677 | 26638944 |
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| 135 |
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| 0.0 | 79.6102 | 16400 | 0.7702 | 26967360 |
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| 136 |
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| 0.0 | 80.5811 | 16600 | 0.7680 | 27297120 |
|
| 137 |
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| 0.0 | 81.5521 | 16800 | 0.7669 | 27626144 |
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| 138 |
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| 0.0 | 82.5230 | 17000 | 0.7676 | 27954656 |
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| 139 |
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| 0.0 | 83.4939 | 17200 | 0.7735 | 28284160 |
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| 140 |
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| 0.0 | 84.4649 | 17400 | 0.7649 | 28612224 |
|
| 141 |
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| 0.0 | 85.4358 | 17600 | 0.7628 | 28940448 |
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| 142 |
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| 0.0 | 86.4068 | 17800 | 0.7705 | 29270912 |
|
| 143 |
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| 0.0 | 87.3777 | 18000 | 0.7683 | 29599424 |
|
| 144 |
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| 0.0 | 88.3487 | 18200 | 0.7718 | 29929280 |
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| 145 |
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| 0.0 | 89.3196 | 18400 | 0.7758 | 30257504 |
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| 146 |
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| 0.0 | 90.2906 | 18600 | 0.7703 | 30586944 |
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| 147 |
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| 0.0 | 91.2615 | 18800 | 0.7651 | 30915744 |
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| 148 |
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| 0.0 | 92.2324 | 19000 | 0.7678 | 31245216 |
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| 149 |
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| 0.0 | 93.2034 | 19200 | 0.7678 | 31573600 |
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| 150 |
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| 0.0 | 94.1743 | 19400 | 0.7686 | 31903616 |
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| 151 |
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| 0.0 | 95.1453 | 19600 | 0.7678 | 32232032 |
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| 152 |
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| 0.0 | 96.1162 | 19800 | 0.7687 | 32560480 |
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| 153 |
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| 0.0 | 97.0872 | 20000 | 0.7721 | 32889696 |
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| 154 |
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| 0.0 | 98.0581 | 20200 | 0.7724 | 33218016 |
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| 155 |
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| 0.0 | 99.0291 | 20400 | 0.7710 | 33547296 |
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| 156 |
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| 0.0 | 99.9976 | 20600 | 0.7661 | 33876000 |
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| 157 |
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| 0.0 | 100.9685 | 20800 | 0.7652 | 34205376 |
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| 158 |
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| 0.0 | 101.9395 | 21000 | 0.7652 | 34534496 |
|
| 159 |
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| 0.0 | 102.9104 | 21200 | 0.7625 | 34864000 |
|
| 160 |
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| 0.0 | 103.8814 | 21400 | 0.7603 | 35192256 |
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| 161 |
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| 0.0 | 104.8523 | 21600 | 0.7606 | 35521376 |
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| 162 |
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| 0.0 | 105.8232 | 21800 | 0.7601 | 35851264 |
|
| 163 |
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| 0.0 | 106.7942 | 22000 | 0.7536 | 36180000 |
|
| 164 |
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| 0.0 | 107.7651 | 22200 | 0.7570 | 36508832 |
|
| 165 |
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| 0.0 | 108.7361 | 22400 | 0.7569 | 36837600 |
|
| 166 |
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| 0.0 | 109.7070 | 22600 | 0.7569 | 37166720 |
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| 167 |
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| 0.0 | 110.6780 | 22800 | 0.7584 | 37495520 |
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| 168 |
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| 0.0 | 111.6489 | 23000 | 0.7586 | 37824352 |
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| 169 |
+
| 0.0 | 112.6199 | 23200 | 0.7604 | 38153856 |
|
| 170 |
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| 0.0 | 113.5908 | 23400 | 0.7584 | 38483200 |
|
| 171 |
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| 0.0 | 114.5617 | 23600 | 0.7666 | 38812672 |
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| 172 |
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| 0.0 | 115.5327 | 23800 | 0.7607 | 39142400 |
|
| 173 |
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| 0.0 | 116.5036 | 24000 | 0.7654 | 39471200 |
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| 174 |
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| 0.0 | 117.4746 | 24200 | 0.7606 | 39798848 |
|
| 175 |
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| 0.0 | 118.4455 | 24400 | 0.7631 | 40127360 |
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| 176 |
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| 0.0 | 119.4165 | 24600 | 0.7665 | 40456736 |
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| 177 |
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| 0.0 | 120.3874 | 24800 | 0.7658 | 40785312 |
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| 178 |
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| 0.0 | 121.3584 | 25000 | 0.7621 | 41112576 |
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| 179 |
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| 0.0 | 122.3293 | 25200 | 0.7642 | 41442112 |
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| 180 |
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| 0.0 | 123.3002 | 25400 | 0.7615 | 41771552 |
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| 181 |
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| 0.0 | 124.2712 | 25600 | 0.7563 | 42101248 |
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| 182 |
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| 0.0 | 125.2421 | 25800 | 0.7604 | 42427392 |
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| 183 |
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| 0.0 | 126.2131 | 26000 | 0.7666 | 42756704 |
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| 184 |
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| 0.0 | 127.1840 | 26200 | 0.7632 | 43085664 |
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| 185 |
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| 0.0 | 128.1550 | 26400 | 0.7665 | 43414240 |
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| 186 |
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| 0.0 | 129.1259 | 26600 | 0.7591 | 43743072 |
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| 187 |
+
| 0.0 | 130.0969 | 26800 | 0.7606 | 44072768 |
|
| 188 |
+
| 0.0 | 131.0678 | 27000 | 0.7612 | 44400192 |
|
| 189 |
+
| 0.0 | 132.0387 | 27200 | 0.7602 | 44729632 |
|
| 190 |
+
| 0.0 | 133.0097 | 27400 | 0.7649 | 45058976 |
|
| 191 |
+
| 0.0 | 133.9782 | 27600 | 0.7607 | 45388352 |
|
| 192 |
+
| 0.0 | 134.9492 | 27800 | 0.7621 | 45717952 |
|
| 193 |
+
| 0.0 | 135.9201 | 28000 | 0.7579 | 46046144 |
|
| 194 |
+
| 0.0 | 136.8910 | 28200 | 0.7559 | 46375168 |
|
| 195 |
+
| 0.0 | 137.8620 | 28400 | 0.7613 | 46702816 |
|
| 196 |
+
| 0.0 | 138.8329 | 28600 | 0.7613 | 47033152 |
|
| 197 |
+
| 0.0 | 139.8039 | 28800 | 0.7628 | 47361472 |
|
| 198 |
+
| 0.0 | 140.7748 | 29000 | 0.7639 | 47691424 |
|
| 199 |
+
| 0.0 | 141.7458 | 29200 | 0.7615 | 48019712 |
|
| 200 |
+
| 0.0 | 142.7167 | 29400 | 0.7634 | 48348832 |
|
| 201 |
+
| 0.0 | 143.6877 | 29600 | 0.7637 | 48678560 |
|
| 202 |
+
| 0.0 | 144.6586 | 29800 | 0.7647 | 49008256 |
|
| 203 |
+
| 0.0 | 145.6295 | 30000 | 0.7650 | 49337088 |
|
| 204 |
+
| 0.0 | 146.6005 | 30200 | 0.7596 | 49665344 |
|
| 205 |
+
| 0.0 | 147.5714 | 30400 | 0.7633 | 49996128 |
|
| 206 |
+
| 0.0 | 148.5424 | 30600 | 0.7592 | 50324736 |
|
| 207 |
+
| 0.0 | 149.5133 | 30800 | 0.7660 | 50652864 |
|
| 208 |
+
| 0.0 | 150.4843 | 31000 | 0.7634 | 50981920 |
|
| 209 |
+
| 0.0 | 151.4552 | 31200 | 0.7669 | 51310752 |
|
| 210 |
+
| 0.0 | 152.4262 | 31400 | 0.7651 | 51640352 |
|
| 211 |
+
| 0.0 | 153.3971 | 31600 | 0.7663 | 51969184 |
|
| 212 |
+
| 0.0 | 154.3680 | 31800 | 0.7648 | 52297280 |
|
| 213 |
+
| 0.0 | 155.3390 | 32000 | 0.7647 | 52625600 |
|
| 214 |
+
| 0.0 | 156.3099 | 32200 | 0.7656 | 52953920 |
|
| 215 |
+
| 0.0 | 157.2809 | 32400 | 0.7650 | 53283648 |
|
| 216 |
+
| 0.0 | 158.2518 | 32600 | 0.7676 | 53613056 |
|
| 217 |
+
| 0.0 | 159.2228 | 32800 | 0.7651 | 53941632 |
|
| 218 |
+
| 0.0 | 160.1937 | 33000 | 0.7681 | 54270272 |
|
| 219 |
+
| 0.0 | 161.1646 | 33200 | 0.7694 | 54599104 |
|
| 220 |
+
| 0.0 | 162.1356 | 33400 | 0.7648 | 54929056 |
|
| 221 |
+
| 0.0 | 163.1065 | 33600 | 0.7708 | 55257728 |
|
| 222 |
+
| 0.0 | 164.0775 | 33800 | 0.7679 | 55587456 |
|
| 223 |
+
| 0.0 | 165.0484 | 34000 | 0.7728 | 55916576 |
|
| 224 |
+
| 0.0 | 166.0194 | 34200 | 0.7715 | 56245664 |
|
| 225 |
+
| 0.0 | 166.9879 | 34400 | 0.7739 | 56574272 |
|
| 226 |
+
| 0.0 | 167.9588 | 34600 | 0.7644 | 56903360 |
|
| 227 |
+
| 0.0 | 168.9298 | 34800 | 0.7681 | 57232032 |
|
| 228 |
+
| 0.0 | 169.9007 | 35000 | 0.7642 | 57561504 |
|
| 229 |
+
| 0.0 | 170.8717 | 35200 | 0.7749 | 57891168 |
|
| 230 |
+
| 0.0 | 171.8426 | 35400 | 0.7676 | 58220352 |
|
| 231 |
+
| 0.0 | 172.8136 | 35600 | 0.7688 | 58548960 |
|
| 232 |
+
| 0.0 | 173.7845 | 35800 | 0.7699 | 58878688 |
|
| 233 |
+
| 0.0 | 174.7554 | 36000 | 0.7651 | 59207104 |
|
| 234 |
+
| 0.0 | 175.7264 | 36200 | 0.7687 | 59536800 |
|
| 235 |
+
| 0.0 | 176.6973 | 36400 | 0.7725 | 59865312 |
|
| 236 |
+
| 0.0 | 177.6683 | 36600 | 0.7651 | 60194816 |
|
| 237 |
+
| 0.0 | 178.6392 | 36800 | 0.7669 | 60523584 |
|
| 238 |
+
| 0.0 | 179.6102 | 37000 | 0.7706 | 60852352 |
|
| 239 |
+
| 0.0 | 180.5811 | 37200 | 0.7701 | 61181024 |
|
| 240 |
+
| 0.0 | 181.5521 | 37400 | 0.7670 | 61510624 |
|
| 241 |
+
| 0.0 | 182.5230 | 37600 | 0.7723 | 61840672 |
|
| 242 |
+
| 0.0 | 183.4939 | 37800 | 0.7689 | 62167808 |
|
| 243 |
+
| 0.0 | 184.4649 | 38000 | 0.7657 | 62496960 |
|
| 244 |
+
| 0.0 | 185.4358 | 38200 | 0.7721 | 62826016 |
|
| 245 |
+
| 0.0 | 186.4068 | 38400 | 0.7677 | 63154784 |
|
| 246 |
+
| 0.0 | 187.3777 | 38600 | 0.7733 | 63483904 |
|
| 247 |
+
| 0.0 | 188.3487 | 38800 | 0.7654 | 63811808 |
|
| 248 |
+
| 0.0 | 189.3196 | 39000 | 0.7660 | 64139488 |
|
| 249 |
+
| 0.0 | 190.2906 | 39200 | 0.7699 | 64467808 |
|
| 250 |
+
| 0.0 | 191.2615 | 39400 | 0.7635 | 64798112 |
|
| 251 |
+
| 0.0 | 192.2324 | 39600 | 0.7690 | 65126304 |
|
| 252 |
+
| 0.0 | 193.2034 | 39800 | 0.7654 | 65455776 |
|
| 253 |
+
| 0.0 | 194.1743 | 40000 | 0.7646 | 65784064 |
|
| 254 |
+
|
| 255 |
+
|
| 256 |
+
### Framework versions
|
| 257 |
+
|
| 258 |
+
- PEFT 0.15.1
|
| 259 |
+
- Transformers 4.51.3
|
| 260 |
+
- Pytorch 2.6.0+cu124
|
| 261 |
+
- Datasets 3.5.0
|
| 262 |
+
- Tokenizers 0.21.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 58745928
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d99b83b1f59697c90f84ef900f0a00e0e49b6b4bfa455d956f274639402d3d1b
|
| 3 |
size 58745928
|