Model save
Browse files- README.md +262 -0
- adapter_model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,262 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 5 |
+
tags:
|
| 6 |
+
- llama-factory
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: train_record_1745950254
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# train_record_1745950254
|
| 17 |
+
|
| 18 |
+
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.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.4941
|
| 21 |
+
- Num Input Tokens Seen: 60870656
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 5e-05
|
| 41 |
+
- train_batch_size: 2
|
| 42 |
+
- eval_batch_size: 2
|
| 43 |
+
- seed: 123
|
| 44 |
+
- gradient_accumulation_steps: 2
|
| 45 |
+
- total_train_batch_size: 4
|
| 46 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 47 |
+
- lr_scheduler_type: cosine
|
| 48 |
+
- training_steps: 40000
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|
| 53 |
+
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
|
| 54 |
+
| 0.8115 | 0.0064 | 200 | 1.5858 | 306656 |
|
| 55 |
+
| 1.7881 | 0.0128 | 400 | 1.1619 | 608000 |
|
| 56 |
+
| 0.9015 | 0.0192 | 600 | 0.9876 | 914496 |
|
| 57 |
+
| 0.932 | 0.0256 | 800 | 0.8973 | 1218512 |
|
| 58 |
+
| 0.9304 | 0.0320 | 1000 | 0.8336 | 1521872 |
|
| 59 |
+
| 0.8057 | 0.0384 | 1200 | 0.7928 | 1824176 |
|
| 60 |
+
| 0.7164 | 0.0448 | 1400 | 0.7639 | 2127280 |
|
| 61 |
+
| 0.7748 | 0.0512 | 1600 | 0.7435 | 2429264 |
|
| 62 |
+
| 0.5404 | 0.0576 | 1800 | 0.7271 | 2736704 |
|
| 63 |
+
| 0.6634 | 0.0640 | 2000 | 0.7104 | 3041072 |
|
| 64 |
+
| 1.0893 | 0.0704 | 2200 | 0.6960 | 3343472 |
|
| 65 |
+
| 0.5612 | 0.0768 | 2400 | 0.6853 | 3649488 |
|
| 66 |
+
| 0.5582 | 0.0832 | 2600 | 0.6775 | 3953824 |
|
| 67 |
+
| 0.5903 | 0.0896 | 2800 | 0.6691 | 4257904 |
|
| 68 |
+
| 0.6387 | 0.0960 | 3000 | 0.6626 | 4560128 |
|
| 69 |
+
| 0.5909 | 0.1024 | 3200 | 0.6562 | 4865424 |
|
| 70 |
+
| 0.6038 | 0.1088 | 3400 | 0.6508 | 5169024 |
|
| 71 |
+
| 0.4876 | 0.1152 | 3600 | 0.6441 | 5477808 |
|
| 72 |
+
| 0.7048 | 0.1216 | 3800 | 0.6394 | 5785408 |
|
| 73 |
+
| 0.5233 | 0.1280 | 4000 | 0.6348 | 6091152 |
|
| 74 |
+
| 0.7181 | 0.1344 | 4200 | 0.6323 | 6393712 |
|
| 75 |
+
| 0.6783 | 0.1408 | 4400 | 0.6271 | 6700592 |
|
| 76 |
+
| 0.5696 | 0.1472 | 4600 | 0.6254 | 7006048 |
|
| 77 |
+
| 0.5197 | 0.1536 | 4800 | 0.6217 | 7307424 |
|
| 78 |
+
| 0.6421 | 0.1600 | 5000 | 0.6180 | 7613952 |
|
| 79 |
+
| 0.5504 | 0.1664 | 5200 | 0.6143 | 7920784 |
|
| 80 |
+
| 0.6105 | 0.1728 | 5400 | 0.6104 | 8223472 |
|
| 81 |
+
| 0.5743 | 0.1792 | 5600 | 0.6074 | 8527408 |
|
| 82 |
+
| 0.5296 | 0.1856 | 5800 | 0.6054 | 8834416 |
|
| 83 |
+
| 0.4067 | 0.1920 | 6000 | 0.6036 | 9138176 |
|
| 84 |
+
| 0.7168 | 0.1985 | 6200 | 0.6011 | 9444880 |
|
| 85 |
+
| 0.461 | 0.2049 | 6400 | 0.5976 | 9746832 |
|
| 86 |
+
| 0.7191 | 0.2113 | 6600 | 0.5960 | 10049776 |
|
| 87 |
+
| 0.4289 | 0.2177 | 6800 | 0.5925 | 10352672 |
|
| 88 |
+
| 0.4285 | 0.2241 | 7000 | 0.5903 | 10655360 |
|
| 89 |
+
| 0.6494 | 0.2305 | 7200 | 0.5882 | 10961872 |
|
| 90 |
+
| 0.5142 | 0.2369 | 7400 | 0.5867 | 11265584 |
|
| 91 |
+
| 0.6324 | 0.2433 | 7600 | 0.5849 | 11571872 |
|
| 92 |
+
| 0.5091 | 0.2497 | 7800 | 0.5823 | 11879344 |
|
| 93 |
+
| 0.7383 | 0.2561 | 8000 | 0.5801 | 12182400 |
|
| 94 |
+
| 0.4138 | 0.2625 | 8200 | 0.5772 | 12484784 |
|
| 95 |
+
| 0.5738 | 0.2689 | 8400 | 0.5762 | 12786640 |
|
| 96 |
+
| 0.6092 | 0.2753 | 8600 | 0.5741 | 13088384 |
|
| 97 |
+
| 0.626 | 0.2817 | 8800 | 0.5725 | 13394624 |
|
| 98 |
+
| 0.5067 | 0.2881 | 9000 | 0.5700 | 13699248 |
|
| 99 |
+
| 0.5356 | 0.2945 | 9200 | 0.5686 | 14003792 |
|
| 100 |
+
| 0.7087 | 0.3009 | 9400 | 0.5670 | 14305968 |
|
| 101 |
+
| 0.5085 | 0.3073 | 9600 | 0.5657 | 14607328 |
|
| 102 |
+
| 0.5123 | 0.3137 | 9800 | 0.5639 | 14911184 |
|
| 103 |
+
| 0.5891 | 0.3201 | 10000 | 0.5626 | 15217456 |
|
| 104 |
+
| 0.624 | 0.3265 | 10200 | 0.5614 | 15521408 |
|
| 105 |
+
| 0.5232 | 0.3329 | 10400 | 0.5594 | 15825776 |
|
| 106 |
+
| 0.6099 | 0.3393 | 10600 | 0.5583 | 16132208 |
|
| 107 |
+
| 0.5191 | 0.3457 | 10800 | 0.5565 | 16434512 |
|
| 108 |
+
| 0.576 | 0.3521 | 11000 | 0.5550 | 16737888 |
|
| 109 |
+
| 0.5733 | 0.3585 | 11200 | 0.5528 | 17040512 |
|
| 110 |
+
| 0.7007 | 0.3649 | 11400 | 0.5517 | 17343664 |
|
| 111 |
+
| 0.7309 | 0.3713 | 11600 | 0.5503 | 17646512 |
|
| 112 |
+
| 0.44 | 0.3777 | 11800 | 0.5488 | 17949824 |
|
| 113 |
+
| 0.5858 | 0.3841 | 12000 | 0.5480 | 18252224 |
|
| 114 |
+
| 0.5043 | 0.3905 | 12200 | 0.5468 | 18558800 |
|
| 115 |
+
| 0.7766 | 0.3969 | 12400 | 0.5457 | 18863792 |
|
| 116 |
+
| 0.4641 | 0.4033 | 12600 | 0.5443 | 19165216 |
|
| 117 |
+
| 0.5321 | 0.4097 | 12800 | 0.5429 | 19467712 |
|
| 118 |
+
| 0.5 | 0.4161 | 13000 | 0.5418 | 19768464 |
|
| 119 |
+
| 0.3868 | 0.4225 | 13200 | 0.5408 | 20071264 |
|
| 120 |
+
| 0.5129 | 0.4289 | 13400 | 0.5402 | 20376832 |
|
| 121 |
+
| 0.5026 | 0.4353 | 13600 | 0.5395 | 20683904 |
|
| 122 |
+
| 0.6542 | 0.4417 | 13800 | 0.5381 | 20987920 |
|
| 123 |
+
| 0.4867 | 0.4481 | 14000 | 0.5365 | 21293728 |
|
| 124 |
+
| 0.5284 | 0.4545 | 14200 | 0.5356 | 21600160 |
|
| 125 |
+
| 0.4407 | 0.4609 | 14400 | 0.5345 | 21906528 |
|
| 126 |
+
| 0.4864 | 0.4673 | 14600 | 0.5339 | 22212960 |
|
| 127 |
+
| 0.465 | 0.4737 | 14800 | 0.5333 | 22518592 |
|
| 128 |
+
| 0.5099 | 0.4801 | 15000 | 0.5328 | 22821472 |
|
| 129 |
+
| 0.5401 | 0.4865 | 15200 | 0.5316 | 23124960 |
|
| 130 |
+
| 0.507 | 0.4929 | 15400 | 0.5299 | 23428832 |
|
| 131 |
+
| 0.4591 | 0.4993 | 15600 | 0.5292 | 23734320 |
|
| 132 |
+
| 0.6651 | 0.5057 | 15800 | 0.5285 | 24037968 |
|
| 133 |
+
| 0.5211 | 0.5121 | 16000 | 0.5284 | 24344064 |
|
| 134 |
+
| 0.4678 | 0.5185 | 16200 | 0.5274 | 24647968 |
|
| 135 |
+
| 0.4696 | 0.5249 | 16400 | 0.5261 | 24952928 |
|
| 136 |
+
| 0.4875 | 0.5313 | 16600 | 0.5255 | 25257664 |
|
| 137 |
+
| 0.441 | 0.5377 | 16800 | 0.5250 | 25561392 |
|
| 138 |
+
| 0.4989 | 0.5441 | 17000 | 0.5236 | 25862992 |
|
| 139 |
+
| 0.4765 | 0.5505 | 17200 | 0.5230 | 26169264 |
|
| 140 |
+
| 0.5298 | 0.5569 | 17400 | 0.5215 | 26471584 |
|
| 141 |
+
| 0.4642 | 0.5633 | 17600 | 0.5213 | 26773280 |
|
| 142 |
+
| 0.422 | 0.5697 | 17800 | 0.5204 | 27077600 |
|
| 143 |
+
| 0.6037 | 0.5761 | 18000 | 0.5198 | 27381664 |
|
| 144 |
+
| 0.5 | 0.5825 | 18200 | 0.5192 | 27688016 |
|
| 145 |
+
| 0.5292 | 0.5890 | 18400 | 0.5183 | 27992592 |
|
| 146 |
+
| 0.3928 | 0.5954 | 18600 | 0.5179 | 28297696 |
|
| 147 |
+
| 0.4373 | 0.6018 | 18800 | 0.5176 | 28603264 |
|
| 148 |
+
| 0.5141 | 0.6082 | 19000 | 0.5169 | 28910096 |
|
| 149 |
+
| 0.562 | 0.6146 | 19200 | 0.5163 | 29218624 |
|
| 150 |
+
| 0.4593 | 0.6210 | 19400 | 0.5156 | 29521824 |
|
| 151 |
+
| 0.5216 | 0.6274 | 19600 | 0.5154 | 29825872 |
|
| 152 |
+
| 0.4665 | 0.6338 | 19800 | 0.5146 | 30128800 |
|
| 153 |
+
| 0.3965 | 0.6402 | 20000 | 0.5142 | 30432080 |
|
| 154 |
+
| 0.463 | 0.6466 | 20200 | 0.5129 | 30737872 |
|
| 155 |
+
| 0.6503 | 0.6530 | 20400 | 0.5125 | 31041328 |
|
| 156 |
+
| 0.4899 | 0.6594 | 20600 | 0.5115 | 31344080 |
|
| 157 |
+
| 0.5516 | 0.6658 | 20800 | 0.5113 | 31646576 |
|
| 158 |
+
| 0.4349 | 0.6722 | 21000 | 0.5107 | 31951744 |
|
| 159 |
+
| 0.4682 | 0.6786 | 21200 | 0.5106 | 32257664 |
|
| 160 |
+
| 0.6893 | 0.6850 | 21400 | 0.5100 | 32561408 |
|
| 161 |
+
| 0.3469 | 0.6914 | 21600 | 0.5095 | 32868640 |
|
| 162 |
+
| 0.343 | 0.6978 | 21800 | 0.5089 | 33175008 |
|
| 163 |
+
| 0.532 | 0.7042 | 22000 | 0.5088 | 33481296 |
|
| 164 |
+
| 0.3321 | 0.7106 | 22200 | 0.5081 | 33782240 |
|
| 165 |
+
| 0.6552 | 0.7170 | 22400 | 0.5079 | 34088112 |
|
| 166 |
+
| 0.5395 | 0.7234 | 22600 | 0.5079 | 34390944 |
|
| 167 |
+
| 0.4636 | 0.7298 | 22800 | 0.5070 | 34696480 |
|
| 168 |
+
| 0.5396 | 0.7362 | 23000 | 0.5068 | 34998048 |
|
| 169 |
+
| 0.5457 | 0.7426 | 23200 | 0.5064 | 35302272 |
|
| 170 |
+
| 0.5577 | 0.7490 | 23400 | 0.5055 | 35611216 |
|
| 171 |
+
| 0.6506 | 0.7554 | 23600 | 0.5051 | 35918512 |
|
| 172 |
+
| 0.4636 | 0.7618 | 23800 | 0.5045 | 36223840 |
|
| 173 |
+
| 0.5077 | 0.7682 | 24000 | 0.5045 | 36528496 |
|
| 174 |
+
| 0.4869 | 0.7746 | 24200 | 0.5038 | 36832464 |
|
| 175 |
+
| 0.4854 | 0.7810 | 24400 | 0.5034 | 37139696 |
|
| 176 |
+
| 0.3727 | 0.7874 | 24600 | 0.5032 | 37440752 |
|
| 177 |
+
| 0.6113 | 0.7938 | 24800 | 0.5029 | 37744512 |
|
| 178 |
+
| 0.4791 | 0.8002 | 25000 | 0.5027 | 38050896 |
|
| 179 |
+
| 0.4708 | 0.8066 | 25200 | 0.5021 | 38353216 |
|
| 180 |
+
| 0.5611 | 0.8130 | 25400 | 0.5021 | 38659776 |
|
| 181 |
+
| 0.4683 | 0.8194 | 25600 | 0.5018 | 38963712 |
|
| 182 |
+
| 0.4308 | 0.8258 | 25800 | 0.5015 | 39269392 |
|
| 183 |
+
| 0.6569 | 0.8322 | 26000 | 0.5013 | 39571936 |
|
| 184 |
+
| 0.4806 | 0.8386 | 26200 | 0.5010 | 39875600 |
|
| 185 |
+
| 0.6366 | 0.8450 | 26400 | 0.5006 | 40181360 |
|
| 186 |
+
| 0.5174 | 0.8514 | 26600 | 0.5000 | 40483344 |
|
| 187 |
+
| 0.5153 | 0.8578 | 26800 | 0.4996 | 40786576 |
|
| 188 |
+
| 0.5619 | 0.8642 | 27000 | 0.4993 | 41094912 |
|
| 189 |
+
| 0.3401 | 0.8706 | 27200 | 0.4990 | 41395648 |
|
| 190 |
+
| 0.5198 | 0.8770 | 27400 | 0.4989 | 41695584 |
|
| 191 |
+
| 0.525 | 0.8834 | 27600 | 0.4985 | 42001344 |
|
| 192 |
+
| 0.3574 | 0.8898 | 27800 | 0.4983 | 42305104 |
|
| 193 |
+
| 0.4493 | 0.8962 | 28000 | 0.4981 | 42606944 |
|
| 194 |
+
| 0.4451 | 0.9026 | 28200 | 0.4979 | 42909232 |
|
| 195 |
+
| 0.4438 | 0.9090 | 28400 | 0.4979 | 43212768 |
|
| 196 |
+
| 0.419 | 0.9154 | 28600 | 0.4979 | 43517168 |
|
| 197 |
+
| 0.4622 | 0.9218 | 28800 | 0.4978 | 43820288 |
|
| 198 |
+
| 0.5337 | 0.9282 | 29000 | 0.4974 | 44124992 |
|
| 199 |
+
| 0.5332 | 0.9346 | 29200 | 0.4972 | 44428848 |
|
| 200 |
+
| 0.3471 | 0.9410 | 29400 | 0.4969 | 44735232 |
|
| 201 |
+
| 0.5661 | 0.9474 | 29600 | 0.4967 | 45040832 |
|
| 202 |
+
| 0.468 | 0.9538 | 29800 | 0.4968 | 45343072 |
|
| 203 |
+
| 0.3829 | 0.9602 | 30000 | 0.4965 | 45648256 |
|
| 204 |
+
| 0.5386 | 0.9666 | 30200 | 0.4967 | 45951600 |
|
| 205 |
+
| 0.4994 | 0.9730 | 30400 | 0.4964 | 46252880 |
|
| 206 |
+
| 0.5633 | 0.9795 | 30600 | 0.4963 | 46556736 |
|
| 207 |
+
| 0.6597 | 0.9859 | 30800 | 0.4963 | 46858080 |
|
| 208 |
+
| 0.4899 | 0.9923 | 31000 | 0.4961 | 47163856 |
|
| 209 |
+
| 0.4158 | 0.9987 | 31200 | 0.4961 | 47469712 |
|
| 210 |
+
| 0.379 | 1.0051 | 31400 | 0.4959 | 47773184 |
|
| 211 |
+
| 0.5601 | 1.0115 | 31600 | 0.4957 | 48080192 |
|
| 212 |
+
| 0.475 | 1.0179 | 31800 | 0.4956 | 48384816 |
|
| 213 |
+
| 0.5515 | 1.0243 | 32000 | 0.4956 | 48688416 |
|
| 214 |
+
| 0.4853 | 1.0307 | 32200 | 0.4952 | 48993296 |
|
| 215 |
+
| 0.4677 | 1.0371 | 32400 | 0.4952 | 49298128 |
|
| 216 |
+
| 0.2249 | 1.0435 | 32600 | 0.4952 | 49602368 |
|
| 217 |
+
| 0.4776 | 1.0499 | 32800 | 0.4949 | 49909872 |
|
| 218 |
+
| 0.6094 | 1.0563 | 33000 | 0.4949 | 50217632 |
|
| 219 |
+
| 0.394 | 1.0627 | 33200 | 0.4948 | 50518112 |
|
| 220 |
+
| 0.4968 | 1.0691 | 33400 | 0.4949 | 50821280 |
|
| 221 |
+
| 0.5216 | 1.0755 | 33600 | 0.4948 | 51127232 |
|
| 222 |
+
| 0.5109 | 1.0819 | 33800 | 0.4945 | 51435040 |
|
| 223 |
+
| 0.6351 | 1.0883 | 34000 | 0.4946 | 51738784 |
|
| 224 |
+
| 0.4113 | 1.0947 | 34200 | 0.4946 | 52042176 |
|
| 225 |
+
| 0.5206 | 1.1011 | 34400 | 0.4946 | 52348928 |
|
| 226 |
+
| 0.5279 | 1.1075 | 34600 | 0.4945 | 52651440 |
|
| 227 |
+
| 0.4664 | 1.1139 | 34800 | 0.4944 | 52960256 |
|
| 228 |
+
| 0.4789 | 1.1203 | 35000 | 0.4945 | 53265840 |
|
| 229 |
+
| 0.5124 | 1.1267 | 35200 | 0.4945 | 53570848 |
|
| 230 |
+
| 0.3906 | 1.1331 | 35400 | 0.4944 | 53873104 |
|
| 231 |
+
| 0.4565 | 1.1395 | 35600 | 0.4944 | 54178960 |
|
| 232 |
+
| 0.4616 | 1.1459 | 35800 | 0.4946 | 54486752 |
|
| 233 |
+
| 0.6993 | 1.1523 | 36000 | 0.4942 | 54787456 |
|
| 234 |
+
| 0.3966 | 1.1587 | 36200 | 0.4943 | 55090272 |
|
| 235 |
+
| 0.4756 | 1.1651 | 36400 | 0.4943 | 55393072 |
|
| 236 |
+
| 0.3546 | 1.1715 | 36600 | 0.4942 | 55696592 |
|
| 237 |
+
| 0.4819 | 1.1779 | 36800 | 0.4943 | 56001936 |
|
| 238 |
+
| 0.5585 | 1.1843 | 37000 | 0.4943 | 56306928 |
|
| 239 |
+
| 0.5079 | 1.1907 | 37200 | 0.4942 | 56613088 |
|
| 240 |
+
| 0.6697 | 1.1971 | 37400 | 0.4943 | 56917104 |
|
| 241 |
+
| 0.5126 | 1.2035 | 37600 | 0.4943 | 57225504 |
|
| 242 |
+
| 0.4852 | 1.2099 | 37800 | 0.4941 | 57529136 |
|
| 243 |
+
| 0.3548 | 1.2163 | 38000 | 0.4941 | 57830720 |
|
| 244 |
+
| 0.4162 | 1.2227 | 38200 | 0.4944 | 58135872 |
|
| 245 |
+
| 0.4424 | 1.2291 | 38400 | 0.4942 | 58439424 |
|
| 246 |
+
| 0.4559 | 1.2355 | 38600 | 0.4942 | 58743296 |
|
| 247 |
+
| 0.5134 | 1.2419 | 38800 | 0.4942 | 59046368 |
|
| 248 |
+
| 0.4145 | 1.2483 | 39000 | 0.4942 | 59351696 |
|
| 249 |
+
| 0.3358 | 1.2547 | 39200 | 0.4942 | 59657728 |
|
| 250 |
+
| 0.4092 | 1.2611 | 39400 | 0.4941 | 59960256 |
|
| 251 |
+
| 0.3274 | 1.2675 | 39600 | 0.4941 | 60265552 |
|
| 252 |
+
| 0.5532 | 1.2739 | 39800 | 0.4941 | 60567296 |
|
| 253 |
+
| 0.4226 | 1.2803 | 40000 | 0.4941 | 60870656 |
|
| 254 |
+
|
| 255 |
+
|
| 256 |
+
### Framework versions
|
| 257 |
+
|
| 258 |
+
- PEFT 0.15.2.dev0
|
| 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 798032
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:085bf86e7208ccbb976794ae49929edcd302333e76e8dd33d686dad6e516849f
|
| 3 |
size 798032
|