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End of training

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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_1027_easy
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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_1027_easy
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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: 1.5176
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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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+ | 3.7763 | 0.0389 | 10 | 4.5283 |
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+ | 3.8936 | 0.0779 | 20 | 4.4799 |
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+ | 4.4563 | 0.1168 | 30 | 4.3501 |
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+ | 4.7589 | 0.1557 | 40 | 4.0769 |
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+ | 5.071 | 0.1946 | 50 | 3.6929 |
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+ | 3.2634 | 0.2336 | 60 | 3.3487 |
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+ | 2.8326 | 0.2725 | 70 | 3.0637 |
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+ | 2.819 | 0.3114 | 80 | 2.8154 |
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+ | 2.6421 | 0.3504 | 90 | 2.5662 |
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+ | 2.3516 | 0.3893 | 100 | 2.3786 |
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+ | 2.7655 | 0.4282 | 110 | 2.3151 |
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+ | 2.097 | 0.4672 | 120 | 2.1992 |
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+ | 1.9609 | 0.5061 | 130 | 2.1322 |
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+ | 1.8021 | 0.5450 | 140 | 2.0846 |
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+ | 1.6522 | 0.5839 | 150 | 2.0758 |
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+ | 2.6338 | 0.6229 | 160 | 2.0508 |
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+ | 1.8254 | 0.6618 | 170 | 1.9887 |
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+ | 1.7601 | 0.7007 | 180 | 1.9707 |
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+ | 1.6096 | 0.7397 | 190 | 1.9472 |
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+ | 1.4924 | 0.7786 | 200 | 1.9573 |
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+ | 2.5712 | 0.8175 | 210 | 1.9522 |
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+ | 1.6991 | 0.8564 | 220 | 1.9024 |
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+ | 1.6546 | 0.8954 | 230 | 1.8793 |
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+ | 1.5023 | 0.9343 | 240 | 1.8753 |
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+ | 1.4243 | 0.9732 | 250 | 1.8831 |
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+ | 2.0387 | 1.0122 | 260 | 1.8509 |
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+ | 2.1742 | 1.0511 | 270 | 1.8497 |
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+ | 1.6214 | 1.0900 | 280 | 1.8301 |
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+ | 1.5333 | 1.1290 | 290 | 1.8235 |
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+ | 1.4649 | 1.1679 | 300 | 1.8228 |
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+ | 1.6879 | 1.2068 | 310 | 1.8274 |
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+ | 2.2073 | 1.2457 | 320 | 1.8120 |
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+ | 1.5935 | 1.2847 | 330 | 1.7940 |
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+ | 1.514 | 1.3236 | 340 | 1.7872 |
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+ | 1.3913 | 1.3625 | 350 | 1.7860 |
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+ | 1.6293 | 1.4015 | 360 | 1.7919 |
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+ | 2.115 | 1.4404 | 370 | 1.7775 |
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+ | 1.5845 | 1.4793 | 380 | 1.7729 |
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+ | 1.4547 | 1.5182 | 390 | 1.7540 |
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+ | 1.3436 | 1.5572 | 400 | 1.7591 |
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+ | 1.6404 | 1.5961 | 410 | 1.7705 |
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+ | 2.1136 | 1.6350 | 420 | 1.7545 |
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+ | 1.5435 | 1.6740 | 430 | 1.7411 |
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+ | 1.4524 | 1.7129 | 440 | 1.7353 |
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+ | 1.3298 | 1.7518 | 450 | 1.7408 |
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+ | 1.6466 | 1.7908 | 460 | 1.7537 |
102
+ | 2.0529 | 1.8297 | 470 | 1.7372 |
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+ | 1.5272 | 1.8686 | 480 | 1.7231 |
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+ | 1.4131 | 1.9075 | 490 | 1.7233 |
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+ | 1.3182 | 1.9465 | 500 | 1.7230 |
106
+ | 1.4042 | 1.9854 | 510 | 1.7303 |
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+ | 2.0085 | 2.0243 | 520 | 1.7065 |
108
+ | 1.6983 | 2.0633 | 530 | 1.7059 |
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+ | 1.4279 | 2.1022 | 540 | 1.7026 |
110
+ | 1.3527 | 2.1411 | 550 | 1.7021 |
111
+ | 1.2341 | 2.1800 | 560 | 1.7234 |
112
+ | 1.9291 | 2.2190 | 570 | 1.7160 |
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+ | 1.7796 | 2.2579 | 580 | 1.7010 |
114
+ | 1.4267 | 2.2968 | 590 | 1.6932 |
115
+ | 1.3393 | 2.3358 | 600 | 1.6907 |
116
+ | 1.2142 | 2.3747 | 610 | 1.7022 |
117
+ | 1.9125 | 2.4136 | 620 | 1.6990 |
118
+ | 1.8458 | 2.4526 | 630 | 1.6864 |
119
+ | 1.4531 | 2.4915 | 640 | 1.6796 |
120
+ | 1.3657 | 2.5304 | 650 | 1.6782 |
121
+ | 1.2651 | 2.5693 | 660 | 1.6826 |
122
+ | 1.9316 | 2.6083 | 670 | 1.6875 |
123
+ | 1.6314 | 2.6472 | 680 | 1.6757 |
124
+ | 1.4485 | 2.6861 | 690 | 1.6691 |
125
+ | 1.309 | 2.7251 | 700 | 1.6664 |
126
+ | 1.209 | 2.7640 | 710 | 1.6777 |
127
+ | 1.8986 | 2.8029 | 720 | 1.6775 |
128
+ | 1.8361 | 2.8418 | 730 | 1.6669 |
129
+ | 1.4449 | 2.8808 | 740 | 1.6572 |
130
+ | 1.2946 | 2.9197 | 750 | 1.6591 |
131
+ | 1.2103 | 2.9586 | 760 | 1.6680 |
132
+ | 1.4037 | 2.9976 | 770 | 1.6621 |
133
+ | 2.1818 | 3.0365 | 780 | 1.6511 |
134
+ | 1.4904 | 3.0754 | 790 | 1.6450 |
135
+ | 1.3461 | 3.1144 | 800 | 1.6488 |
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+ | 1.2472 | 3.1533 | 810 | 1.6551 |
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+ | 1.1493 | 3.1922 | 820 | 1.6697 |
138
+ | 2.2146 | 3.2311 | 830 | 1.6583 |
139
+ | 1.403 | 3.2701 | 840 | 1.6433 |
140
+ | 1.3514 | 3.3090 | 850 | 1.6436 |
141
+ | 1.2089 | 3.3479 | 860 | 1.6471 |
142
+ | 1.1023 | 3.3869 | 870 | 1.6645 |
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+ | 2.2152 | 3.4258 | 880 | 1.6598 |
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+ | 1.5242 | 3.4647 | 890 | 1.6477 |
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+ | 1.3203 | 3.5036 | 900 | 1.6369 |
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+ | 1.2507 | 3.5426 | 910 | 1.6402 |
147
+ | 1.1166 | 3.5815 | 920 | 1.6616 |
148
+ | 2.2196 | 3.6204 | 930 | 1.6440 |
149
+ | 1.4112 | 3.6594 | 940 | 1.6346 |
150
+ | 1.3503 | 3.6983 | 950 | 1.6256 |
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+ | 1.2029 | 3.7372 | 960 | 1.6336 |
152
+ | 1.1152 | 3.7762 | 970 | 1.6468 |
153
+ | 2.1977 | 3.8151 | 980 | 1.6385 |
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+ | 1.5103 | 3.8540 | 990 | 1.6287 |
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+ | 1.362 | 3.8929 | 1000 | 1.6246 |
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+ | 1.2141 | 3.9319 | 1010 | 1.6220 |
157
+ | 1.1004 | 3.9708 | 1020 | 1.6423 |
158
+ | 1.6619 | 4.0097 | 1030 | 1.6203 |
159
+ | 1.9806 | 4.0487 | 1040 | 1.6170 |
160
+ | 1.3531 | 4.0876 | 1050 | 1.6129 |
161
+ | 1.281 | 4.1265 | 1060 | 1.6145 |
162
+ | 1.1584 | 4.1655 | 1070 | 1.6254 |
163
+ | 1.3343 | 4.2044 | 1080 | 1.6362 |
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+ | 1.9491 | 4.2433 | 1090 | 1.6206 |
165
+ | 1.3445 | 4.2822 | 1100 | 1.6129 |
166
+ | 1.2577 | 4.3212 | 1110 | 1.6119 |
167
+ | 1.1242 | 4.3601 | 1120 | 1.6255 |
168
+ | 1.3583 | 4.3990 | 1130 | 1.6395 |
169
+ | 2.0065 | 4.4380 | 1140 | 1.6209 |
170
+ | 1.3461 | 4.4769 | 1150 | 1.6104 |
171
+ | 1.2333 | 4.5158 | 1160 | 1.6055 |
172
+ | 1.1523 | 4.5547 | 1170 | 1.6114 |
173
+ | 1.3992 | 4.5937 | 1180 | 1.6308 |
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+ | 2.0767 | 4.6326 | 1190 | 1.6160 |
175
+ | 1.3482 | 4.6715 | 1200 | 1.6039 |
176
+ | 1.2425 | 4.7105 | 1210 | 1.6042 |
177
+ | 1.1431 | 4.7494 | 1220 | 1.6075 |
178
+ | 1.3811 | 4.7883 | 1230 | 1.6289 |
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+ | 1.9523 | 4.8273 | 1240 | 1.6105 |
180
+ | 1.3783 | 4.8662 | 1250 | 1.5982 |
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+ | 1.2572 | 4.9051 | 1260 | 1.5952 |
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+ | 1.1646 | 4.9440 | 1270 | 1.5982 |
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+ | 1.1906 | 4.9830 | 1280 | 1.6090 |
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+ | 1.7989 | 5.0219 | 1290 | 1.5914 |
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+ | 1.7403 | 5.0608 | 1300 | 1.5873 |
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+ | 1.2874 | 5.0998 | 1310 | 1.5850 |
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+ | 1.1733 | 5.1387 | 1320 | 1.5948 |
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+ | 1.0615 | 5.1776 | 1330 | 1.6029 |
189
+ | 1.6934 | 5.2165 | 1340 | 1.6018 |
190
+ | 1.6591 | 5.2555 | 1350 | 1.5912 |
191
+ | 1.2596 | 5.2944 | 1360 | 1.5863 |
192
+ | 1.1479 | 5.3333 | 1370 | 1.5888 |
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+ | 1.0699 | 5.3723 | 1380 | 1.5977 |
194
+ | 1.7117 | 5.4112 | 1390 | 1.6021 |
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+ | 1.6833 | 5.4501 | 1400 | 1.5841 |
196
+ | 1.288 | 5.4891 | 1410 | 1.5820 |
197
+ | 1.2 | 5.5280 | 1420 | 1.5814 |
198
+ | 1.0931 | 5.5669 | 1430 | 1.5936 |
199
+ | 1.715 | 5.6058 | 1440 | 1.5990 |
200
+ | 1.6323 | 5.6448 | 1450 | 1.5816 |
201
+ | 1.2706 | 5.6837 | 1460 | 1.5785 |
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+ | 1.1385 | 5.7226 | 1470 | 1.5805 |
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+ | 1.0803 | 5.7616 | 1480 | 1.5904 |
204
+ | 1.6976 | 5.8005 | 1490 | 1.5994 |
205
+ | 1.6462 | 5.8394 | 1500 | 1.5772 |
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+ | 1.3095 | 5.8783 | 1510 | 1.5740 |
207
+ | 1.1689 | 5.9173 | 1520 | 1.5726 |
208
+ | 1.071 | 5.9562 | 1530 | 1.5818 |
209
+ | 1.1859 | 5.9951 | 1540 | 1.5829 |
210
+ | 2.0191 | 6.0341 | 1550 | 1.5715 |
211
+ | 1.4098 | 6.0730 | 1560 | 1.5694 |
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+ | 1.2502 | 6.1119 | 1570 | 1.5730 |
213
+ | 1.0788 | 6.1509 | 1580 | 1.5807 |
214
+ | 0.988 | 6.1898 | 1590 | 1.6018 |
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+ | 2.0501 | 6.2287 | 1600 | 1.5809 |
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+ | 1.3556 | 6.2676 | 1610 | 1.5715 |
217
+ | 1.2059 | 6.3066 | 1620 | 1.5718 |
218
+ | 1.0579 | 6.3455 | 1630 | 1.5743 |
219
+ | 0.971 | 6.3844 | 1640 | 1.5913 |
220
+ | 2.0085 | 6.4234 | 1650 | 1.5908 |
221
+ | 1.4356 | 6.4623 | 1660 | 1.5711 |
222
+ | 1.2325 | 6.5012 | 1670 | 1.5663 |
223
+ | 1.111 | 6.5401 | 1680 | 1.5682 |
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+ | 0.9896 | 6.5791 | 1690 | 1.5832 |
225
+ | 2.0567 | 6.6180 | 1700 | 1.5820 |
226
+ | 1.3979 | 6.6569 | 1710 | 1.5675 |
227
+ | 1.2178 | 6.6959 | 1720 | 1.5624 |
228
+ | 1.0477 | 6.7348 | 1730 | 1.5670 |
229
+ | 0.9771 | 6.7737 | 1740 | 1.5721 |
230
+ | 2.0197 | 6.8127 | 1750 | 1.5751 |
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+ | 1.258 | 6.8516 | 1760 | 1.5606 |
232
+ | 1.2167 | 6.8905 | 1770 | 1.5588 |
233
+ | 1.0911 | 6.9294 | 1780 | 1.5622 |
234
+ | 1.0111 | 6.9684 | 1790 | 1.5690 |
235
+ | 1.4849 | 7.0073 | 1800 | 1.5580 |
236
+ | 1.9573 | 7.0462 | 1810 | 1.5582 |
237
+ | 1.2576 | 7.0852 | 1820 | 1.5510 |
238
+ | 1.1611 | 7.1241 | 1830 | 1.5627 |
239
+ | 1.0478 | 7.1630 | 1840 | 1.5702 |
240
+ | 1.1798 | 7.2019 | 1850 | 1.5827 |
241
+ | 1.9795 | 7.2409 | 1860 | 1.5587 |
242
+ | 1.2165 | 7.2798 | 1870 | 1.5507 |
243
+ | 1.1532 | 7.3187 | 1880 | 1.5570 |
244
+ | 1.0266 | 7.3577 | 1890 | 1.5631 |
245
+ | 1.1541 | 7.3966 | 1900 | 1.5813 |
246
+ | 1.9844 | 7.4355 | 1910 | 1.5687 |
247
+ | 1.272 | 7.4745 | 1920 | 1.5524 |
248
+ | 1.15 | 7.5134 | 1930 | 1.5564 |
249
+ | 1.0207 | 7.5523 | 1940 | 1.5631 |
250
+ | 1.1958 | 7.5912 | 1950 | 1.5714 |
251
+ | 1.8459 | 7.6302 | 1960 | 1.5598 |
252
+ | 1.2237 | 7.6691 | 1970 | 1.5502 |
253
+ | 1.0912 | 7.7080 | 1980 | 1.5576 |
254
+ | 1.0293 | 7.7470 | 1990 | 1.5605 |
255
+ | 1.1759 | 7.7859 | 2000 | 1.5748 |
256
+ | 1.9501 | 7.8248 | 2010 | 1.5619 |
257
+ | 1.278 | 7.8637 | 2020 | 1.5485 |
258
+ | 1.1444 | 7.9027 | 2030 | 1.5470 |
259
+ | 0.9825 | 7.9416 | 2040 | 1.5567 |
260
+ | 1.1099 | 7.9805 | 2050 | 1.5713 |
261
+ | 1.6283 | 8.0195 | 2060 | 1.5478 |
262
+ | 1.5212 | 8.0584 | 2070 | 1.5439 |
263
+ | 1.1641 | 8.0973 | 2080 | 1.5414 |
264
+ | 1.0507 | 8.1363 | 2090 | 1.5554 |
265
+ | 0.9638 | 8.1752 | 2100 | 1.5691 |
266
+ | 1.5681 | 8.2141 | 2110 | 1.5728 |
267
+ | 1.6317 | 8.2530 | 2120 | 1.5490 |
268
+ | 1.1769 | 8.2920 | 2130 | 1.5427 |
269
+ | 1.0881 | 8.3309 | 2140 | 1.5535 |
270
+ | 0.9701 | 8.3698 | 2150 | 1.5607 |
271
+ | 1.5534 | 8.4088 | 2160 | 1.5754 |
272
+ | 1.7206 | 8.4477 | 2170 | 1.5547 |
273
+ | 1.2126 | 8.4866 | 2180 | 1.5407 |
274
+ | 1.063 | 8.5255 | 2190 | 1.5540 |
275
+ | 0.972 | 8.5645 | 2200 | 1.5613 |
276
+ | 1.5243 | 8.6034 | 2210 | 1.5667 |
277
+ | 1.6769 | 8.6423 | 2220 | 1.5481 |
278
+ | 1.2002 | 8.6813 | 2230 | 1.5378 |
279
+ | 1.0425 | 8.7202 | 2240 | 1.5443 |
280
+ | 0.9598 | 8.7591 | 2250 | 1.5548 |
281
+ | 1.5318 | 8.7981 | 2260 | 1.5622 |
282
+ | 1.6112 | 8.8370 | 2270 | 1.5435 |
283
+ | 1.2198 | 8.8759 | 2280 | 1.5350 |
284
+ | 1.0364 | 8.9148 | 2290 | 1.5446 |
285
+ | 0.9443 | 8.9538 | 2300 | 1.5562 |
286
+ | 1.1055 | 8.9927 | 2310 | 1.5467 |
287
+ | 1.9621 | 9.0316 | 2320 | 1.5375 |
288
+ | 1.3497 | 9.0706 | 2330 | 1.5358 |
289
+ | 1.1692 | 9.1095 | 2340 | 1.5320 |
290
+ | 0.9726 | 9.1484 | 2350 | 1.5516 |
291
+ | 0.9062 | 9.1873 | 2360 | 1.5673 |
292
+ | 1.8685 | 9.2263 | 2370 | 1.5527 |
293
+ | 1.376 | 9.2652 | 2380 | 1.5364 |
294
+ | 1.1297 | 9.3041 | 2390 | 1.5330 |
295
+ | 0.9794 | 9.3431 | 2400 | 1.5479 |
296
+ | 0.8959 | 9.3820 | 2410 | 1.5624 |
297
+ | 1.9017 | 9.4209 | 2420 | 1.5572 |
298
+ | 1.3083 | 9.4599 | 2430 | 1.5361 |
299
+ | 1.1149 | 9.4988 | 2440 | 1.5312 |
300
+ | 0.9902 | 9.5377 | 2450 | 1.5475 |
301
+ | 0.9252 | 9.5766 | 2460 | 1.5582 |
302
+ | 1.8811 | 9.6156 | 2470 | 1.5605 |
303
+ | 1.3395 | 9.6545 | 2480 | 1.5356 |
304
+ | 1.1577 | 9.6934 | 2490 | 1.5291 |
305
+ | 0.9977 | 9.7324 | 2500 | 1.5435 |
306
+ | 0.8878 | 9.7713 | 2510 | 1.5561 |
307
+ | 1.8883 | 9.8102 | 2520 | 1.5541 |
308
+ | 1.2806 | 9.8491 | 2530 | 1.5316 |
309
+ | 1.1298 | 9.8881 | 2540 | 1.5272 |
310
+ | 0.9948 | 9.9270 | 2550 | 1.5390 |
311
+ | 0.8918 | 9.9659 | 2560 | 1.5530 |
312
+ | 1.2933 | 10.0049 | 2570 | 1.5386 |
313
+ | 1.9556 | 10.0438 | 2580 | 1.5349 |
314
+ | 1.1961 | 10.0827 | 2590 | 1.5291 |
315
+ | 1.098 | 10.1217 | 2600 | 1.5311 |
316
+ | 0.943 | 10.1606 | 2610 | 1.5481 |
317
+ | 1.0277 | 10.1995 | 2620 | 1.5648 |
318
+ | 1.9568 | 10.2384 | 2630 | 1.5436 |
319
+ | 1.1865 | 10.2774 | 2640 | 1.5299 |
320
+ | 1.0858 | 10.3163 | 2650 | 1.5292 |
321
+ | 0.9243 | 10.3552 | 2660 | 1.5482 |
322
+ | 1.0187 | 10.3942 | 2670 | 1.5573 |
323
+ | 2.0017 | 10.4331 | 2680 | 1.5513 |
324
+ | 1.2038 | 10.4720 | 2690 | 1.5293 |
325
+ | 1.0947 | 10.5109 | 2700 | 1.5263 |
326
+ | 0.9356 | 10.5499 | 2710 | 1.5422 |
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": [
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+ "<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>",
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+ "use_default_system_prompt": false
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+ }
training_args.bin ADDED
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