Model save
Browse files- .gitattributes +1 -0
- README.md +189 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- runs/Mar10_23-08-48_1412920010036/events.out.tfevents.1741662535.1412920010036.5471.0 +3 -0
- runs/Mar10_23-08-48_1412920010036/events.out.tfevents.1741667746.1412920010036.5471.1 +3 -0
- runs/Mar11_00-36-23_1412920010036/events.out.tfevents.1741667784.1412920010036.5471.2 +3 -0
- runs/Mar11_00-36-23_1412920010036/events.out.tfevents.1741668489.1412920010036.5471.3 +3 -0
- runs/Mar11_00-48-17_1412920010036/events.out.tfevents.1741668498.1412920010036.5471.4 +3 -0
- special_tokens_map.json +23 -0
- spiece.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +840 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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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: apache-2.0
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| 4 |
+
base_model: google/mt5-small
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| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- rouge
|
| 9 |
+
model-index:
|
| 10 |
+
- name: my-lora-local-combined-sum
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# my-lora-local-combined-sum
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 5.3239
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| 22 |
+
- Rouge1: 3.1309
|
| 23 |
+
- Rouge2: 0.1383
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| 24 |
+
- Rougel: 2.9320
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| 25 |
+
- Rougelsum: 2.9324
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 0.0001
|
| 45 |
+
- train_batch_size: 4
|
| 46 |
+
- eval_batch_size: 4
|
| 47 |
+
- seed: 42
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| 48 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- num_epochs: 2
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|
| 55 |
+
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
|
| 56 |
+
| 23.652 | 0.0160 | 5 | 11.7543 | 0.5335 | 0.0402 | 0.4991 | 0.4949 |
|
| 57 |
+
| 21.4941 | 0.0319 | 10 | 11.7207 | 0.5200 | 0.0374 | 0.4762 | 0.4711 |
|
| 58 |
+
| 19.422 | 0.0479 | 15 | 11.6789 | 0.6095 | 0.0500 | 0.5583 | 0.5571 |
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| 59 |
+
| 22.1389 | 0.0639 | 20 | 11.6402 | 0.6042 | 0.0481 | 0.5449 | 0.5407 |
|
| 60 |
+
| 20.0441 | 0.0799 | 25 | 11.5933 | 0.6250 | 0.0374 | 0.5482 | 0.5459 |
|
| 61 |
+
| 19.8832 | 0.0958 | 30 | 11.5414 | 0.6758 | 0.0517 | 0.5900 | 0.5834 |
|
| 62 |
+
| 19.6299 | 0.1118 | 35 | 11.4640 | 0.6860 | 0.0464 | 0.6029 | 0.6038 |
|
| 63 |
+
| 21.9358 | 0.1278 | 40 | 11.4154 | 0.6940 | 0.0536 | 0.6154 | 0.6163 |
|
| 64 |
+
| 22.2149 | 0.1438 | 45 | 11.3558 | 0.6759 | 0.0489 | 0.6079 | 0.6052 |
|
| 65 |
+
| 21.5263 | 0.1597 | 50 | 11.2812 | 0.6470 | 0.0584 | 0.5696 | 0.5700 |
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| 66 |
+
| 20.7417 | 0.1757 | 55 | 11.2026 | 0.6474 | 0.0542 | 0.5906 | 0.5867 |
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| 67 |
+
| 23.6982 | 0.1917 | 60 | 11.1133 | 0.5920 | 0.0661 | 0.5417 | 0.5435 |
|
| 68 |
+
| 17.6926 | 0.2077 | 65 | 11.0459 | 0.6807 | 0.0713 | 0.6018 | 0.5990 |
|
| 69 |
+
| 21.006 | 0.2236 | 70 | 10.9396 | 0.5966 | 0.0472 | 0.5545 | 0.5506 |
|
| 70 |
+
| 16.5991 | 0.2396 | 75 | 10.8254 | 0.6446 | 0.0594 | 0.5795 | 0.5795 |
|
| 71 |
+
| 16.2146 | 0.2556 | 80 | 10.7155 | 0.6542 | 0.0608 | 0.5892 | 0.5876 |
|
| 72 |
+
| 22.3505 | 0.2716 | 85 | 10.6118 | 0.6909 | 0.0519 | 0.6129 | 0.6082 |
|
| 73 |
+
| 21.3726 | 0.2875 | 90 | 10.4817 | 0.6439 | 0.0595 | 0.5608 | 0.5584 |
|
| 74 |
+
| 16.7014 | 0.3035 | 95 | 10.3467 | 0.6685 | 0.0720 | 0.5853 | 0.5847 |
|
| 75 |
+
| 18.2504 | 0.3195 | 100 | 10.2216 | 0.7344 | 0.0705 | 0.6395 | 0.6370 |
|
| 76 |
+
| 17.9526 | 0.3355 | 105 | 10.1161 | 0.7135 | 0.0850 | 0.6213 | 0.6190 |
|
| 77 |
+
| 19.2727 | 0.3514 | 110 | 10.0225 | 0.6474 | 0.0965 | 0.5498 | 0.5467 |
|
| 78 |
+
| 17.3108 | 0.3674 | 115 | 9.8542 | 0.6541 | 0.0800 | 0.5539 | 0.5547 |
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| 79 |
+
| 14.8073 | 0.3834 | 120 | 9.7522 | 0.6335 | 0.0599 | 0.5548 | 0.5489 |
|
| 80 |
+
| 16.2244 | 0.3994 | 125 | 9.6181 | 0.7317 | 0.0618 | 0.6425 | 0.6337 |
|
| 81 |
+
| 14.5446 | 0.4153 | 130 | 9.5206 | 0.7480 | 0.0618 | 0.6331 | 0.6282 |
|
| 82 |
+
| 15.6145 | 0.4313 | 135 | 9.4280 | 0.7840 | 0.0915 | 0.6683 | 0.6591 |
|
| 83 |
+
| 14.5598 | 0.4473 | 140 | 9.3180 | 0.7976 | 0.0747 | 0.6857 | 0.6803 |
|
| 84 |
+
| 16.626 | 0.4633 | 145 | 9.1933 | 0.7144 | 0.0680 | 0.6037 | 0.6026 |
|
| 85 |
+
| 15.2717 | 0.4792 | 150 | 9.0056 | 0.6882 | 0.0764 | 0.5920 | 0.5917 |
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| 86 |
+
| 13.4159 | 0.4952 | 155 | 8.8481 | 0.7891 | 0.0724 | 0.6943 | 0.6895 |
|
| 87 |
+
| 14.1487 | 0.5112 | 160 | 8.6840 | 0.8197 | 0.0542 | 0.7087 | 0.7051 |
|
| 88 |
+
| 16.2853 | 0.5272 | 165 | 8.5537 | 0.8577 | 0.0479 | 0.7464 | 0.7425 |
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| 89 |
+
| 13.7284 | 0.5431 | 170 | 8.4408 | 0.8904 | 0.0404 | 0.8066 | 0.8058 |
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| 90 |
+
| 13.035 | 0.5591 | 175 | 8.3316 | 0.9318 | 0.0634 | 0.8208 | 0.8100 |
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| 91 |
+
| 12.7887 | 0.5751 | 180 | 8.2053 | 1.0418 | 0.0625 | 0.9095 | 0.9066 |
|
| 92 |
+
| 12.2665 | 0.5911 | 185 | 8.0928 | 1.0168 | 0.0567 | 0.8907 | 0.8891 |
|
| 93 |
+
| 12.7005 | 0.6070 | 190 | 7.9882 | 1.1973 | 0.0850 | 1.0934 | 1.0860 |
|
| 94 |
+
| 12.7293 | 0.6230 | 195 | 7.8489 | 1.2476 | 0.0833 | 1.1583 | 1.1515 |
|
| 95 |
+
| 12.1713 | 0.6390 | 200 | 7.6980 | 1.6482 | 0.1230 | 1.4793 | 1.4661 |
|
| 96 |
+
| 11.501 | 0.6550 | 205 | 7.5613 | 1.6241 | 0.1111 | 1.4590 | 1.4586 |
|
| 97 |
+
| 11.6457 | 0.6709 | 210 | 7.4689 | 1.8776 | 0.1296 | 1.6991 | 1.6871 |
|
| 98 |
+
| 11.7026 | 0.6869 | 215 | 7.3935 | 1.9311 | 0.1224 | 1.7739 | 1.7714 |
|
| 99 |
+
| 10.5877 | 0.7029 | 220 | 7.3031 | 2.1049 | 0.1427 | 1.8897 | 1.8797 |
|
| 100 |
+
| 10.9339 | 0.7188 | 225 | 7.2184 | 2.2620 | 0.1604 | 2.0377 | 2.0331 |
|
| 101 |
+
| 9.8031 | 0.7348 | 230 | 7.1438 | 2.3388 | 0.1500 | 2.1312 | 2.1271 |
|
| 102 |
+
| 10.2145 | 0.7508 | 235 | 7.0725 | 2.4207 | 0.1572 | 2.1943 | 2.1750 |
|
| 103 |
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| 10.0909 | 0.7668 | 240 | 7.0029 | 2.4045 | 0.1427 | 2.1776 | 2.1770 |
|
| 104 |
+
| 9.8222 | 0.7827 | 245 | 6.9333 | 2.3929 | 0.1324 | 2.1964 | 2.1889 |
|
| 105 |
+
| 9.0728 | 0.7987 | 250 | 6.8557 | 2.4630 | 0.1364 | 2.2430 | 2.2337 |
|
| 106 |
+
| 9.308 | 0.8147 | 255 | 6.7682 | 2.5453 | 0.1473 | 2.3249 | 2.3172 |
|
| 107 |
+
| 9.0191 | 0.8307 | 260 | 6.6723 | 2.6619 | 0.1206 | 2.4392 | 2.4277 |
|
| 108 |
+
| 9.2552 | 0.8466 | 265 | 6.5731 | 2.5866 | 0.1098 | 2.3381 | 2.3322 |
|
| 109 |
+
| 8.7318 | 0.8626 | 270 | 6.4862 | 2.5568 | 0.1112 | 2.3082 | 2.3006 |
|
| 110 |
+
| 8.9958 | 0.8786 | 275 | 6.4084 | 2.5543 | 0.1102 | 2.3193 | 2.3160 |
|
| 111 |
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| 8.2857 | 0.8946 | 280 | 6.3348 | 2.5717 | 0.1146 | 2.3284 | 2.3330 |
|
| 112 |
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| 8.3112 | 0.9105 | 285 | 6.2517 | 2.7736 | 0.1357 | 2.5063 | 2.5098 |
|
| 113 |
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| 8.8349 | 0.9265 | 290 | 6.1757 | 2.7153 | 0.1111 | 2.4674 | 2.4641 |
|
| 114 |
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| 8.6952 | 0.9425 | 295 | 6.1052 | 2.7401 | 0.1081 | 2.5038 | 2.5073 |
|
| 115 |
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| 8.5782 | 0.9585 | 300 | 6.0515 | 2.7391 | 0.1211 | 2.5241 | 2.5096 |
|
| 116 |
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| 8.6426 | 0.9744 | 305 | 6.0058 | 2.7657 | 0.1443 | 2.5530 | 2.5519 |
|
| 117 |
+
| 8.1808 | 0.9904 | 310 | 5.9701 | 2.7706 | 0.1457 | 2.5485 | 2.5441 |
|
| 118 |
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| 8.3015 | 1.0064 | 315 | 5.9410 | 2.7316 | 0.1531 | 2.5080 | 2.5072 |
|
| 119 |
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| 8.3451 | 1.0224 | 320 | 5.9180 | 2.6415 | 0.1317 | 2.4510 | 2.4458 |
|
| 120 |
+
| 7.873 | 1.0383 | 325 | 5.8935 | 2.6211 | 0.1097 | 2.4057 | 2.4020 |
|
| 121 |
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| 7.8035 | 1.0543 | 330 | 5.8663 | 2.5718 | 0.0779 | 2.3788 | 2.3755 |
|
| 122 |
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| 7.4984 | 1.0703 | 335 | 5.8367 | 2.4868 | 0.0582 | 2.3166 | 2.3104 |
|
| 123 |
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| 7.3556 | 1.0863 | 340 | 5.8020 | 2.4792 | 0.0550 | 2.3044 | 2.2916 |
|
| 124 |
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| 8.0786 | 1.1022 | 345 | 5.7732 | 2.4080 | 0.0420 | 2.2622 | 2.2553 |
|
| 125 |
+
| 7.5338 | 1.1182 | 350 | 5.7436 | 2.4495 | 0.0461 | 2.2676 | 2.2592 |
|
| 126 |
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| 7.5628 | 1.1342 | 355 | 5.7189 | 2.5874 | 0.0641 | 2.3737 | 2.3701 |
|
| 127 |
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| 7.4467 | 1.1502 | 360 | 5.6907 | 2.5347 | 0.0413 | 2.3525 | 2.3482 |
|
| 128 |
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| 7.6056 | 1.1661 | 365 | 5.6671 | 2.5697 | 0.0448 | 2.3524 | 2.3528 |
|
| 129 |
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| 7.463 | 1.1821 | 370 | 5.6491 | 2.6025 | 0.0448 | 2.3822 | 2.3773 |
|
| 130 |
+
| 7.1363 | 1.1981 | 375 | 5.6348 | 2.5469 | 0.0357 | 2.3393 | 2.3311 |
|
| 131 |
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| 7.0927 | 1.2141 | 380 | 5.6140 | 2.5685 | 0.0589 | 2.3623 | 2.3654 |
|
| 132 |
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| 7.0816 | 1.2300 | 385 | 5.5978 | 2.6166 | 0.0589 | 2.4159 | 2.4212 |
|
| 133 |
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| 6.8517 | 1.2460 | 390 | 5.5818 | 2.6452 | 0.0499 | 2.4727 | 2.4786 |
|
| 134 |
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| 8.0498 | 1.2620 | 395 | 5.5675 | 2.7419 | 0.0512 | 2.5631 | 2.5606 |
|
| 135 |
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| 7.0932 | 1.2780 | 400 | 5.5517 | 2.6195 | 0.0476 | 2.4942 | 2.4895 |
|
| 136 |
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| 6.8587 | 1.2939 | 405 | 5.5344 | 2.5747 | 0.0391 | 2.4363 | 2.4312 |
|
| 137 |
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| 6.9344 | 1.3099 | 410 | 5.5205 | 2.6110 | 0.0351 | 2.4583 | 2.4549 |
|
| 138 |
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| 6.7229 | 1.3259 | 415 | 5.5108 | 2.6736 | 0.0334 | 2.5078 | 2.5052 |
|
| 139 |
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| 6.6704 | 1.3419 | 420 | 5.5011 | 2.6529 | 0.0289 | 2.4826 | 2.4746 |
|
| 140 |
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| 6.6762 | 1.3578 | 425 | 5.4873 | 2.6323 | 0.0289 | 2.4645 | 2.4530 |
|
| 141 |
+
| 6.6617 | 1.3738 | 430 | 5.4773 | 2.6210 | 0.0211 | 2.4641 | 2.4561 |
|
| 142 |
+
| 6.783 | 1.3898 | 435 | 5.4706 | 2.6646 | 0.0226 | 2.4979 | 2.4957 |
|
| 143 |
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| 6.54 | 1.4058 | 440 | 5.4643 | 2.6527 | 0.0170 | 2.4945 | 2.4867 |
|
| 144 |
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| 6.5901 | 1.4217 | 445 | 5.4572 | 2.6805 | 0.0170 | 2.5278 | 2.5214 |
|
| 145 |
+
| 6.6093 | 1.4377 | 450 | 5.4519 | 2.6769 | 0.0234 | 2.5196 | 2.5075 |
|
| 146 |
+
| 6.5077 | 1.4537 | 455 | 5.4466 | 2.6851 | 0.0274 | 2.5514 | 2.5439 |
|
| 147 |
+
| 6.3797 | 1.4696 | 460 | 5.4402 | 2.6756 | 0.0270 | 2.5497 | 2.5380 |
|
| 148 |
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| 6.64 | 1.4856 | 465 | 5.4353 | 2.7025 | 0.0423 | 2.5647 | 2.5530 |
|
| 149 |
+
| 6.9645 | 1.5016 | 470 | 5.4311 | 2.7576 | 0.0257 | 2.6191 | 2.6132 |
|
| 150 |
+
| 6.6399 | 1.5176 | 475 | 5.4263 | 2.7655 | 0.0217 | 2.6279 | 2.6225 |
|
| 151 |
+
| 7.1064 | 1.5335 | 480 | 5.4224 | 2.7561 | 0.0217 | 2.6194 | 2.6118 |
|
| 152 |
+
| 6.5318 | 1.5495 | 485 | 5.4186 | 2.7226 | 0.0217 | 2.5902 | 2.5744 |
|
| 153 |
+
| 6.6985 | 1.5655 | 490 | 5.4142 | 2.7083 | 0.0217 | 2.5735 | 2.5629 |
|
| 154 |
+
| 6.3787 | 1.5815 | 495 | 5.4100 | 2.7172 | 0.0217 | 2.5852 | 2.5765 |
|
| 155 |
+
| 6.4844 | 1.5974 | 500 | 5.4051 | 2.7730 | 0.0217 | 2.6503 | 2.6442 |
|
| 156 |
+
| 6.5958 | 1.6134 | 505 | 5.4002 | 2.8511 | 0.0384 | 2.7220 | 2.7149 |
|
| 157 |
+
| 6.4135 | 1.6294 | 510 | 5.3951 | 2.8595 | 0.0409 | 2.7355 | 2.7261 |
|
| 158 |
+
| 6.3097 | 1.6454 | 515 | 5.3896 | 2.8092 | 0.0462 | 2.6927 | 2.6906 |
|
| 159 |
+
| 6.3015 | 1.6613 | 520 | 5.3836 | 2.8498 | 0.0579 | 2.7391 | 2.7357 |
|
| 160 |
+
| 6.2501 | 1.6773 | 525 | 5.3776 | 2.8643 | 0.0612 | 2.7585 | 2.7506 |
|
| 161 |
+
| 6.4105 | 1.6933 | 530 | 5.3714 | 2.8698 | 0.0612 | 2.7576 | 2.7500 |
|
| 162 |
+
| 6.9844 | 1.7093 | 535 | 5.3667 | 2.9023 | 0.0698 | 2.7706 | 2.7640 |
|
| 163 |
+
| 6.5541 | 1.7252 | 540 | 5.3623 | 2.9349 | 0.0733 | 2.8098 | 2.8037 |
|
| 164 |
+
| 6.2722 | 1.7412 | 545 | 5.3579 | 2.9333 | 0.0675 | 2.8005 | 2.7961 |
|
| 165 |
+
| 6.3432 | 1.7572 | 550 | 5.3531 | 3.0079 | 0.0698 | 2.8572 | 2.8527 |
|
| 166 |
+
| 6.392 | 1.7732 | 555 | 5.3490 | 3.0083 | 0.0728 | 2.8491 | 2.8482 |
|
| 167 |
+
| 6.4564 | 1.7891 | 560 | 5.3457 | 2.9957 | 0.0699 | 2.8449 | 2.8436 |
|
| 168 |
+
| 6.1712 | 1.8051 | 565 | 5.3425 | 3.0035 | 0.0698 | 2.8504 | 2.8484 |
|
| 169 |
+
| 6.4905 | 1.8211 | 570 | 5.3386 | 3.0050 | 0.0741 | 2.8525 | 2.8527 |
|
| 170 |
+
| 6.483 | 1.8371 | 575 | 5.3353 | 3.0098 | 0.0848 | 2.8661 | 2.8604 |
|
| 171 |
+
| 6.4069 | 1.8530 | 580 | 5.3333 | 3.0188 | 0.0817 | 2.8816 | 2.8737 |
|
| 172 |
+
| 6.3736 | 1.8690 | 585 | 5.3318 | 3.0172 | 0.0817 | 2.8718 | 2.8651 |
|
| 173 |
+
| 6.3639 | 1.8850 | 590 | 5.3299 | 3.0201 | 0.0847 | 2.8755 | 2.8717 |
|
| 174 |
+
| 6.214 | 1.9010 | 595 | 5.3282 | 3.0291 | 0.0847 | 2.8898 | 2.8852 |
|
| 175 |
+
| 6.537 | 1.9169 | 600 | 5.3270 | 3.0432 | 0.0847 | 2.9011 | 2.8966 |
|
| 176 |
+
| 6.4734 | 1.9329 | 605 | 5.3260 | 3.0428 | 0.0908 | 2.8934 | 2.8907 |
|
| 177 |
+
| 6.298 | 1.9489 | 610 | 5.3251 | 3.0780 | 0.1251 | 2.9044 | 2.9019 |
|
| 178 |
+
| 6.4594 | 1.9649 | 615 | 5.3245 | 3.1170 | 0.1383 | 2.9269 | 2.9250 |
|
| 179 |
+
| 6.2875 | 1.9808 | 620 | 5.3241 | 3.1276 | 0.1383 | 2.9320 | 2.9324 |
|
| 180 |
+
| 6.1948 | 1.9968 | 625 | 5.3239 | 3.1309 | 0.1383 | 2.9320 | 2.9324 |
|
| 181 |
+
|
| 182 |
+
|
| 183 |
+
### Framework versions
|
| 184 |
+
|
| 185 |
+
- PEFT 0.14.0
|
| 186 |
+
- Transformers 4.49.0
|
| 187 |
+
- Pytorch 2.6.0+cu124
|
| 188 |
+
- Datasets 3.3.2
|
| 189 |
+
- Tokenizers 0.21.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
|
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|
|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": null,
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 16,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.2,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 1,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"v",
|
| 27 |
+
"q"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "SEQ_2_SEQ_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e04b123e8b65b50509df57900f96a0baff44a1335e47c57af51a42111b5e3a0f
|
| 3 |
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size 186704
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runs/Mar10_23-08-48_1412920010036/events.out.tfevents.1741662535.1412920010036.5471.0
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d86bf84720e7f90ac974efa75515570b134c9d405e77c7b946753da0a78708c9
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| 3 |
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size 91015
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runs/Mar10_23-08-48_1412920010036/events.out.tfevents.1741667746.1412920010036.5471.1
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:792a75e640434bf8aa50b1ef06323080a1c16079af61c3bf8694eb452fad42a6
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| 3 |
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size 562
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runs/Mar11_00-36-23_1412920010036/events.out.tfevents.1741667784.1412920010036.5471.2
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 59508
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runs/Mar11_00-36-23_1412920010036/events.out.tfevents.1741668489.1412920010036.5471.3
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf2e319d10421337f47f1e8b3f46bae0ad327b388a3e7f90b0e1965ffdbc5d5a
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| 3 |
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size 562
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runs/Mar11_00-48-17_1412920010036/events.out.tfevents.1741668498.1412920010036.5471.4
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:d85e822375a87e28f05d12ef333b2fb6fd159fe4f9a19f1f70ba612647cfb70a
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| 3 |
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size 91030
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"eos_token": {
|
| 3 |
+
"content": "</s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"pad_token": {
|
| 10 |
+
"content": "<pad>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"unk_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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|
|
|
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|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
|
| 3 |
+
size 4309802
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:90ed658667887a6a72b5f071e2e34bd3d9c562683f9c71a2f9c7c1c414e6c5bc
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| 3 |
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size 16350026
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,840 @@
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|
|
|
|
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|
|
|
|
|
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| 1 |
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{
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| 2 |
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"add_prefix_space": null,
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| 3 |
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"added_tokens_decoder": {
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| 4 |
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"0": {
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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"special": true
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| 11 |
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},
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| 12 |
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"1": {
|
| 13 |
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"content": "</s>",
|
| 14 |
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| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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"special": true
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| 19 |
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},
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| 20 |
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"2": {
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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"special": true
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| 27 |
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| 28 |
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"250000": {
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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|
| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 82 |
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| 83 |
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| 84 |
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|
| 85 |
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|
| 86 |
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| 87 |
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| 88 |
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| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"content": "β<extra_id_91>",
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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| 100 |
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|
| 101 |
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"content": "β<extra_id_90>",
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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| 108 |
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|
| 109 |
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|
| 110 |
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| 111 |
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| 113 |
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|
| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 122 |
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| 123 |
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| 124 |
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|
| 125 |
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| 126 |
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| 127 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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|
| 133 |
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|
| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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|
| 157 |
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| 158 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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|
| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 170 |
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| 171 |
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| 172 |
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|
| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 202 |
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| 203 |
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| 204 |
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:6eb1b4bdee2c737c5226abf6b6ac900eb11c3f3d40e3942032eece28fa76bba1
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| 3 |
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size 5496
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