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SangMoone/gemma2-2b-it-hard

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+ ---
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+ base_model: google/gemma-2b-it
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+ library_name: peft
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+ license: gemma
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: results_1024_hard
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # results_1024_hard
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+
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+ This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7783
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 3
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 24
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 20
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 3.5619 | 0.0390 | 10 | 3.6739 |
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+ | 3.5429 | 0.0780 | 20 | 3.6357 |
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+ | 3.5082 | 0.1170 | 30 | 3.5419 |
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+ | 3.5337 | 0.1560 | 40 | 3.3450 |
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+ | 3.4677 | 0.1950 | 50 | 3.0606 |
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+ | 2.9464 | 0.2340 | 60 | 2.8547 |
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+ | 2.7669 | 0.2730 | 70 | 2.6702 |
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+ | 2.6965 | 0.3120 | 80 | 2.5309 |
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+ | 2.5909 | 0.3510 | 90 | 2.4184 |
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+ | 2.4393 | 0.3901 | 100 | 2.3441 |
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+ | 2.4496 | 0.4291 | 110 | 2.3040 |
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+ | 2.4013 | 0.4681 | 120 | 2.2693 |
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+ | 2.3979 | 0.5071 | 130 | 2.2463 |
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+ | 2.3603 | 0.5461 | 140 | 2.2143 |
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+ | 2.221 | 0.5851 | 150 | 2.1913 |
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+ | 2.3495 | 0.6241 | 160 | 2.1816 |
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+ | 2.3647 | 0.6631 | 170 | 2.1766 |
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+ | 2.3218 | 0.7021 | 180 | 2.1577 |
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+ | 2.3126 | 0.7411 | 190 | 2.1344 |
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+ | 2.1452 | 0.7801 | 200 | 2.1263 |
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+ | 2.3334 | 0.8191 | 210 | 2.1238 |
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+ | 2.2701 | 0.8581 | 220 | 2.1139 |
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+ | 2.2801 | 0.8971 | 230 | 2.1050 |
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+ | 2.2627 | 0.9361 | 240 | 2.0848 |
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+ | 2.0111 | 0.9751 | 250 | 2.0796 |
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+ | 2.2442 | 1.0141 | 260 | 2.0675 |
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+ | 2.2478 | 1.0531 | 270 | 2.0694 |
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+ | 2.282 | 1.0922 | 280 | 2.0713 |
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+ | 2.2581 | 1.1312 | 290 | 2.0573 |
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+ | 2.1635 | 1.1702 | 300 | 2.0495 |
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+ | 2.004 | 1.2092 | 310 | 2.0506 |
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+ | 2.191 | 1.2482 | 320 | 2.0578 |
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+ | 2.1744 | 1.2872 | 330 | 2.0493 |
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+ | 2.1702 | 1.3262 | 340 | 2.0327 |
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+ | 2.1859 | 1.3652 | 350 | 2.0240 |
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+ | 1.9934 | 1.4042 | 360 | 2.0287 |
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+ | 2.2299 | 1.4432 | 370 | 2.0442 |
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+ | 2.1927 | 1.4822 | 380 | 2.0247 |
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+ | 2.1494 | 1.5212 | 390 | 2.0049 |
95
+ | 2.1116 | 1.5602 | 400 | 2.0000 |
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+ | 1.9836 | 1.5992 | 410 | 2.0000 |
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+ | 2.1745 | 1.6382 | 420 | 2.0106 |
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+ | 2.1316 | 1.6772 | 430 | 2.0039 |
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+ | 2.1532 | 1.7162 | 440 | 1.9822 |
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+ | 2.0582 | 1.7552 | 450 | 1.9795 |
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+ | 1.9695 | 1.7942 | 460 | 1.9824 |
102
+ | 2.1855 | 1.8333 | 470 | 2.0026 |
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+ | 2.176 | 1.8723 | 480 | 1.9842 |
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+ | 2.1188 | 1.9113 | 490 | 1.9598 |
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+ | 2.0718 | 1.9503 | 500 | 1.9515 |
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+ | 1.8728 | 1.9893 | 510 | 1.9540 |
107
+ | 2.0879 | 2.0283 | 520 | 1.9532 |
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+ | 2.119 | 2.0673 | 530 | 1.9605 |
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+ | 2.1424 | 2.1063 | 540 | 1.9559 |
110
+ | 2.0755 | 2.1453 | 550 | 1.9306 |
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+ | 1.9815 | 2.1843 | 560 | 1.9407 |
112
+ | 1.952 | 2.2233 | 570 | 1.9472 |
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+ | 2.1086 | 2.2623 | 580 | 1.9460 |
114
+ | 2.1537 | 2.3013 | 590 | 1.9390 |
115
+ | 2.0626 | 2.3403 | 600 | 1.9184 |
116
+ | 1.9718 | 2.3793 | 610 | 1.9251 |
117
+ | 1.9661 | 2.4183 | 620 | 1.9346 |
118
+ | 2.0937 | 2.4573 | 630 | 1.9418 |
119
+ | 2.1033 | 2.4963 | 640 | 1.9311 |
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+ | 1.9948 | 2.5353 | 650 | 1.9051 |
121
+ | 1.9327 | 2.5744 | 660 | 1.9142 |
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+ | 1.9565 | 2.6134 | 670 | 1.9182 |
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+ | 2.0608 | 2.6524 | 680 | 1.9238 |
124
+ | 2.0804 | 2.6914 | 690 | 1.9166 |
125
+ | 2.0171 | 2.7304 | 700 | 1.8911 |
126
+ | 1.9227 | 2.7694 | 710 | 1.8917 |
127
+ | 1.8928 | 2.8084 | 720 | 1.8967 |
128
+ | 2.1007 | 2.8474 | 730 | 1.9101 |
129
+ | 2.0644 | 2.8864 | 740 | 1.8979 |
130
+ | 2.0158 | 2.9254 | 750 | 1.8790 |
131
+ | 1.8893 | 2.9644 | 760 | 1.8889 |
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+ | 1.8667 | 3.0034 | 770 | 1.8789 |
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+ | 2.0376 | 3.0424 | 780 | 1.8826 |
134
+ | 2.0067 | 3.0814 | 790 | 1.8921 |
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+ | 2.0115 | 3.1204 | 800 | 1.8781 |
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+ | 1.9622 | 3.1594 | 810 | 1.8691 |
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+ | 1.6909 | 3.1984 | 820 | 1.8865 |
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+ | 2.0386 | 3.2374 | 830 | 1.8937 |
139
+ | 2.0207 | 3.2765 | 840 | 1.8961 |
140
+ | 2.0297 | 3.3155 | 850 | 1.8736 |
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+ | 1.9413 | 3.3545 | 860 | 1.8623 |
142
+ | 1.7372 | 3.3935 | 870 | 1.8927 |
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+ | 2.0537 | 3.4325 | 880 | 1.8809 |
144
+ | 2.0477 | 3.4715 | 890 | 1.8878 |
145
+ | 2.0275 | 3.5105 | 900 | 1.8757 |
146
+ | 1.9251 | 3.5495 | 910 | 1.8551 |
147
+ | 1.7597 | 3.5885 | 920 | 1.8677 |
148
+ | 2.0448 | 3.6275 | 930 | 1.8671 |
149
+ | 2.0844 | 3.6665 | 940 | 1.8749 |
150
+ | 2.0147 | 3.7055 | 950 | 1.8612 |
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+ | 1.9194 | 3.7445 | 960 | 1.8494 |
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+ | 1.7378 | 3.7835 | 970 | 1.8554 |
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+ | 2.029 | 3.8225 | 980 | 1.8591 |
154
+ | 2.0434 | 3.8615 | 990 | 1.8658 |
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+ | 1.9697 | 3.9005 | 1000 | 1.8546 |
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+ | 1.9241 | 3.9395 | 1010 | 1.8430 |
157
+ | 1.7295 | 3.9785 | 1020 | 1.8510 |
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+ | 2.0073 | 4.0176 | 1030 | 1.8400 |
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+ | 1.9937 | 4.0566 | 1040 | 1.8487 |
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+ | 2.0309 | 4.0956 | 1050 | 1.8506 |
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+ | 1.9177 | 4.1346 | 1060 | 1.8354 |
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+ | 1.868 | 4.1736 | 1070 | 1.8401 |
163
+ | 1.7374 | 4.2126 | 1080 | 1.8390 |
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+ | 2.0335 | 4.2516 | 1090 | 1.8501 |
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+ | 1.9698 | 4.2906 | 1100 | 1.8499 |
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+ | 1.896 | 4.3296 | 1110 | 1.8350 |
167
+ | 1.8848 | 4.3686 | 1120 | 1.8367 |
168
+ | 1.7259 | 4.4076 | 1130 | 1.8355 |
169
+ | 1.9634 | 4.4466 | 1140 | 1.8485 |
170
+ | 1.9683 | 4.4856 | 1150 | 1.8451 |
171
+ | 1.9561 | 4.5246 | 1160 | 1.8269 |
172
+ | 1.8939 | 4.5636 | 1170 | 1.8320 |
173
+ | 1.748 | 4.6026 | 1180 | 1.8308 |
174
+ | 1.98 | 4.6416 | 1190 | 1.8427 |
175
+ | 1.9592 | 4.6806 | 1200 | 1.8391 |
176
+ | 1.9849 | 4.7196 | 1210 | 1.8259 |
177
+ | 1.8567 | 4.7587 | 1220 | 1.8243 |
178
+ | 1.7734 | 4.7977 | 1230 | 1.8267 |
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+ | 2.0098 | 4.8367 | 1240 | 1.8420 |
180
+ | 1.9283 | 4.8757 | 1250 | 1.8364 |
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+ | 1.9114 | 4.9147 | 1260 | 1.8182 |
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+ | 1.83 | 4.9537 | 1270 | 1.8210 |
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+ | 1.6698 | 4.9927 | 1280 | 1.8231 |
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+ | 1.8952 | 5.0317 | 1290 | 1.8315 |
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+ | 1.97 | 5.0707 | 1300 | 1.8474 |
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+ | 1.895 | 5.1097 | 1310 | 1.8373 |
187
+ | 1.8165 | 5.1487 | 1320 | 1.8196 |
188
+ | 1.7256 | 5.1877 | 1330 | 1.8280 |
189
+ | 1.8193 | 5.2267 | 1340 | 1.8230 |
190
+ | 1.9184 | 5.2657 | 1350 | 1.8317 |
191
+ | 1.9165 | 5.3047 | 1360 | 1.8342 |
192
+ | 1.9257 | 5.3437 | 1370 | 1.8116 |
193
+ | 1.7266 | 5.3827 | 1380 | 1.8229 |
194
+ | 1.819 | 5.4217 | 1390 | 1.8162 |
195
+ | 1.9576 | 5.4608 | 1400 | 1.8311 |
196
+ | 1.9448 | 5.4998 | 1410 | 1.8251 |
197
+ | 1.8438 | 5.5388 | 1420 | 1.8083 |
198
+ | 1.7266 | 5.5778 | 1430 | 1.8173 |
199
+ | 1.8128 | 5.6168 | 1440 | 1.8113 |
200
+ | 1.9558 | 5.6558 | 1450 | 1.8206 |
201
+ | 1.9478 | 5.6948 | 1460 | 1.8177 |
202
+ | 1.8407 | 5.7338 | 1470 | 1.8036 |
203
+ | 1.7654 | 5.7728 | 1480 | 1.8194 |
204
+ | 1.8663 | 5.8118 | 1490 | 1.8082 |
205
+ | 1.9504 | 5.8508 | 1500 | 1.8202 |
206
+ | 1.9463 | 5.8898 | 1510 | 1.8196 |
207
+ | 1.7968 | 5.9288 | 1520 | 1.8029 |
208
+ | 1.7647 | 5.9678 | 1530 | 1.8152 |
209
+ | 1.7266 | 6.0068 | 1540 | 1.8015 |
210
+ | 1.9003 | 6.0458 | 1550 | 1.8100 |
211
+ | 1.9034 | 6.0848 | 1560 | 1.8137 |
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+ | 1.8396 | 6.1238 | 1570 | 1.8103 |
213
+ | 1.7832 | 6.1628 | 1580 | 1.8055 |
214
+ | 1.6215 | 6.2019 | 1590 | 1.8197 |
215
+ | 1.9618 | 6.2409 | 1600 | 1.8072 |
216
+ | 1.897 | 6.2799 | 1610 | 1.8152 |
217
+ | 1.8719 | 6.3189 | 1620 | 1.8071 |
218
+ | 1.8327 | 6.3579 | 1630 | 1.8009 |
219
+ | 1.6011 | 6.3969 | 1640 | 1.8202 |
220
+ | 1.9512 | 6.4359 | 1650 | 1.8061 |
221
+ | 1.8925 | 6.4749 | 1660 | 1.8183 |
222
+ | 1.8759 | 6.5139 | 1670 | 1.8104 |
223
+ | 1.7985 | 6.5529 | 1680 | 1.7971 |
224
+ | 1.6509 | 6.5919 | 1690 | 1.8161 |
225
+ | 1.9336 | 6.6309 | 1700 | 1.7963 |
226
+ | 1.9162 | 6.6699 | 1710 | 1.8053 |
227
+ | 1.8663 | 6.7089 | 1720 | 1.8038 |
228
+ | 1.8258 | 6.7479 | 1730 | 1.7938 |
229
+ | 1.59 | 6.7869 | 1740 | 1.8156 |
230
+ | 1.9273 | 6.8259 | 1750 | 1.7902 |
231
+ | 1.8987 | 6.8649 | 1760 | 1.8011 |
232
+ | 1.8492 | 6.9039 | 1770 | 1.8008 |
233
+ | 1.7775 | 6.9430 | 1780 | 1.7896 |
234
+ | 1.5814 | 6.9820 | 1790 | 1.8116 |
235
+ | 1.8407 | 7.0210 | 1800 | 1.7896 |
236
+ | 1.8887 | 7.0600 | 1810 | 1.7979 |
237
+ | 1.9142 | 7.0990 | 1820 | 1.8057 |
238
+ | 1.7626 | 7.1380 | 1830 | 1.7939 |
239
+ | 1.7565 | 7.1770 | 1840 | 1.7964 |
240
+ | 1.6147 | 7.2160 | 1850 | 1.7995 |
241
+ | 1.8237 | 7.2550 | 1860 | 1.7914 |
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+ | 1.8857 | 7.2940 | 1870 | 1.7981 |
243
+ | 1.8479 | 7.3330 | 1880 | 1.7916 |
244
+ | 1.7318 | 7.3720 | 1890 | 1.7945 |
245
+ | 1.6457 | 7.4110 | 1900 | 1.7967 |
246
+ | 1.8955 | 7.4500 | 1910 | 1.7870 |
247
+ | 1.9229 | 7.4890 | 1920 | 1.7929 |
248
+ | 1.8029 | 7.5280 | 1930 | 1.7899 |
249
+ | 1.7959 | 7.5670 | 1940 | 1.7871 |
250
+ | 1.6022 | 7.6060 | 1950 | 1.8001 |
251
+ | 1.9062 | 7.6451 | 1960 | 1.7833 |
252
+ | 1.9102 | 7.6841 | 1970 | 1.7858 |
253
+ | 1.8149 | 7.7231 | 1980 | 1.7854 |
254
+ | 1.7492 | 7.7621 | 1990 | 1.7861 |
255
+ | 1.6135 | 7.8011 | 2000 | 1.7939 |
256
+ | 1.8301 | 7.8401 | 2010 | 1.7817 |
257
+ | 1.8828 | 7.8791 | 2020 | 1.7844 |
258
+ | 1.754 | 7.9181 | 2030 | 1.7823 |
259
+ | 1.7694 | 7.9571 | 2040 | 1.7831 |
260
+ | 1.6105 | 7.9961 | 2050 | 1.7867 |
261
+ | 1.8275 | 8.0351 | 2060 | 1.7847 |
262
+ | 1.7555 | 8.0741 | 2070 | 1.7868 |
263
+ | 1.8719 | 8.1131 | 2080 | 1.7861 |
264
+ | 1.7381 | 8.1521 | 2090 | 1.7837 |
265
+ | 1.6302 | 8.1911 | 2100 | 1.8011 |
266
+ | 1.7826 | 8.2301 | 2110 | 1.7855 |
267
+ | 1.8958 | 8.2691 | 2120 | 1.7826 |
268
+ | 1.852 | 8.3081 | 2130 | 1.7842 |
269
+ | 1.748 | 8.3471 | 2140 | 1.7819 |
270
+ | 1.5133 | 8.3862 | 2150 | 1.7930 |
271
+ | 1.8326 | 8.4252 | 2160 | 1.7814 |
272
+ | 1.8598 | 8.4642 | 2170 | 1.7784 |
273
+ | 1.8627 | 8.5032 | 2180 | 1.7821 |
274
+ | 1.7473 | 8.5422 | 2190 | 1.7797 |
275
+ | 1.642 | 8.5812 | 2200 | 1.7848 |
276
+ | 1.8286 | 8.6202 | 2210 | 1.7777 |
277
+ | 1.7744 | 8.6592 | 2220 | 1.7803 |
278
+ | 1.825 | 8.6982 | 2230 | 1.7779 |
279
+ | 1.7296 | 8.7372 | 2240 | 1.7785 |
280
+ | 1.5304 | 8.7762 | 2250 | 1.7871 |
281
+ | 1.747 | 8.8152 | 2260 | 1.7760 |
282
+ | 1.8467 | 8.8542 | 2270 | 1.7778 |
283
+ | 1.8316 | 8.8932 | 2280 | 1.7769 |
284
+ | 1.7574 | 8.9322 | 2290 | 1.7732 |
285
+ | 1.6203 | 8.9712 | 2300 | 1.7821 |
286
+ | 1.742 | 9.0102 | 2310 | 1.7773 |
287
+ | 1.7971 | 9.0492 | 2320 | 1.7799 |
288
+ | 1.8526 | 9.0882 | 2330 | 1.7805 |
289
+ | 1.7679 | 9.1273 | 2340 | 1.7821 |
290
+ | 1.6806 | 9.1663 | 2350 | 1.7809 |
291
+ | 1.4834 | 9.2053 | 2360 | 1.7905 |
292
+ | 1.829 | 9.2443 | 2370 | 1.7772 |
293
+ | 1.8293 | 9.2833 | 2380 | 1.7783 |
294
+ | 1.7669 | 9.3223 | 2390 | 1.7767 |
295
+ | 1.7476 | 9.3613 | 2400 | 1.7753 |
296
+ | 1.5542 | 9.4003 | 2410 | 1.7906 |
297
+ | 1.8146 | 9.4393 | 2420 | 1.7747 |
298
+ | 1.805 | 9.4783 | 2430 | 1.7772 |
299
+ | 1.7651 | 9.5173 | 2440 | 1.7778 |
300
+ | 1.7134 | 9.5563 | 2450 | 1.7757 |
301
+ | 1.5159 | 9.5953 | 2460 | 1.7883 |
302
+ | 1.8303 | 9.6343 | 2470 | 1.7727 |
303
+ | 1.833 | 9.6733 | 2480 | 1.7777 |
304
+ | 1.8066 | 9.7123 | 2490 | 1.7735 |
305
+ | 1.7443 | 9.7513 | 2500 | 1.7769 |
306
+ | 1.5211 | 9.7903 | 2510 | 1.7894 |
307
+ | 1.8166 | 9.8294 | 2520 | 1.7726 |
308
+ | 1.8283 | 9.8684 | 2530 | 1.7754 |
309
+ | 1.8072 | 9.9074 | 2540 | 1.7718 |
310
+ | 1.704 | 9.9464 | 2550 | 1.7751 |
311
+ | 1.5475 | 9.9854 | 2560 | 1.7846 |
312
+ | 1.7583 | 10.0244 | 2570 | 1.7745 |
313
+ | 1.7812 | 10.0634 | 2580 | 1.7760 |
314
+ | 1.7514 | 10.1024 | 2590 | 1.7782 |
315
+ | 1.6958 | 10.1414 | 2600 | 1.7743 |
316
+ | 1.6448 | 10.1804 | 2610 | 1.7814 |
317
+ | 1.6535 | 10.2194 | 2620 | 1.7832 |
318
+ | 1.863 | 10.2584 | 2630 | 1.7734 |
319
+ | 1.7768 | 10.2974 | 2640 | 1.7782 |
320
+ | 1.7197 | 10.3364 | 2650 | 1.7740 |
321
+ | 1.7241 | 10.3754 | 2660 | 1.7787 |
322
+ | 1.5929 | 10.4144 | 2670 | 1.7812 |
323
+ | 1.8043 | 10.4534 | 2680 | 1.7727 |
324
+ | 1.8393 | 10.4924 | 2690 | 1.7775 |
325
+ | 1.7536 | 10.5314 | 2700 | 1.7729 |
326
+ | 1.6587 | 10.5705 | 2710 | 1.7802 |
327
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328
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+
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+ ### Framework versions
571
+
572
+ - PEFT 0.12.0
573
+ - Transformers 4.45.0
574
+ - Pytorch 2.4.0+cu121
575
+ - Datasets 2.21.0
576
+ - Tokenizers 0.20.1
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+ },
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+ "additional_special_tokens": [
1743
+ "<start_of_turn>",
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+ "<end_of_turn>"
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+ ],
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+ "bos_token": "<bos>",
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+ "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<eos>",
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<eos>",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "GemmaTokenizer",
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+ "unk_token": "<unk>",
1756
+ "use_default_system_prompt": false
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+ }
training_args.bin ADDED
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