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SangMoone/gemma2-2b-it-difficulty-medium

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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_1026_medium
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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_1026_medium
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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: 1.6380
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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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+ | 3.7375 | 0.0390 | 10 | 4.2741 |
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+ | 3.911 | 0.0780 | 20 | 4.2339 |
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+ | 3.7483 | 0.1170 | 30 | 4.1269 |
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+ | 4.0206 | 0.1559 | 40 | 3.8986 |
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+ | 4.6902 | 0.1949 | 50 | 3.5532 |
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+ | 3.2196 | 0.2339 | 60 | 3.2401 |
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+ | 3.0539 | 0.2729 | 70 | 3.0130 |
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+ | 2.4944 | 0.3119 | 80 | 2.8331 |
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+ | 2.4502 | 0.3509 | 90 | 2.6492 |
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+ | 2.5653 | 0.3899 | 100 | 2.4577 |
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+ | 2.7832 | 0.4288 | 110 | 2.3803 |
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+ | 2.4319 | 0.4678 | 120 | 2.3086 |
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+ | 1.8581 | 0.5068 | 130 | 2.2263 |
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+ | 1.588 | 0.5458 | 140 | 2.1658 |
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+ | 1.9006 | 0.5848 | 150 | 2.1379 |
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+ | 2.7059 | 0.6238 | 160 | 2.1338 |
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+ | 2.2761 | 0.6628 | 170 | 2.0950 |
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+ | 1.6663 | 0.7018 | 180 | 2.0510 |
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+ | 1.3498 | 0.7407 | 190 | 2.0417 |
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+ | 1.6824 | 0.7797 | 200 | 2.0340 |
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+ | 2.6165 | 0.8187 | 210 | 2.0028 |
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+ | 2.1451 | 0.8577 | 220 | 1.9910 |
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+ | 1.3869 | 0.8967 | 230 | 1.9698 |
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+ | 1.3288 | 0.9357 | 240 | 1.9555 |
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+ | 1.5853 | 0.9747 | 250 | 1.9570 |
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+ | 2.0552 | 1.0136 | 260 | 1.9191 |
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+ | 2.3622 | 1.0526 | 270 | 1.9206 |
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+ | 2.0127 | 1.0916 | 280 | 1.9111 |
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+ | 1.2681 | 1.1306 | 290 | 1.8985 |
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+ | 1.303 | 1.1696 | 300 | 1.8957 |
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+ | 1.9404 | 1.2086 | 310 | 1.8921 |
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+ | 2.3832 | 1.2476 | 320 | 1.8766 |
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+ | 1.7822 | 1.2865 | 330 | 1.8680 |
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+ | 1.128 | 1.3255 | 340 | 1.8651 |
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+ | 1.3576 | 1.3645 | 350 | 1.8616 |
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+ | 1.8378 | 1.4035 | 360 | 1.8536 |
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+ | 2.281 | 1.4425 | 370 | 1.8409 |
93
+ | 1.7978 | 1.4815 | 380 | 1.8333 |
94
+ | 1.1124 | 1.5205 | 390 | 1.8319 |
95
+ | 1.2702 | 1.5595 | 400 | 1.8315 |
96
+ | 1.785 | 1.5984 | 410 | 1.8288 |
97
+ | 2.2559 | 1.6374 | 420 | 1.8210 |
98
+ | 1.7997 | 1.6764 | 430 | 1.8109 |
99
+ | 1.0795 | 1.7154 | 440 | 1.8121 |
100
+ | 1.197 | 1.7544 | 450 | 1.8074 |
101
+ | 1.8304 | 1.7934 | 460 | 1.8126 |
102
+ | 2.2655 | 1.8324 | 470 | 1.8006 |
103
+ | 1.7715 | 1.8713 | 480 | 1.8003 |
104
+ | 1.0938 | 1.9103 | 490 | 1.7942 |
105
+ | 1.3049 | 1.9493 | 500 | 1.7928 |
106
+ | 1.5426 | 1.9883 | 510 | 1.7930 |
107
+ | 2.1529 | 2.0273 | 520 | 1.7900 |
108
+ | 2.0421 | 2.0663 | 530 | 1.7771 |
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+ | 1.4795 | 2.1053 | 540 | 1.7755 |
110
+ | 0.9904 | 2.1442 | 550 | 1.7820 |
111
+ | 1.2937 | 2.1832 | 560 | 1.7812 |
112
+ | 2.0973 | 2.2222 | 570 | 1.7786 |
113
+ | 2.0218 | 2.2612 | 580 | 1.7715 |
114
+ | 1.4054 | 2.3002 | 590 | 1.7682 |
115
+ | 0.9818 | 2.3392 | 600 | 1.7749 |
116
+ | 1.307 | 2.3782 | 610 | 1.7700 |
117
+ | 2.1172 | 2.4172 | 620 | 1.7693 |
118
+ | 2.0437 | 2.4561 | 630 | 1.7652 |
119
+ | 1.5118 | 2.4951 | 640 | 1.7557 |
120
+ | 1.0348 | 2.5341 | 650 | 1.7611 |
121
+ | 1.3371 | 2.5731 | 660 | 1.7579 |
122
+ | 2.1021 | 2.6121 | 670 | 1.7543 |
123
+ | 1.9754 | 2.6511 | 680 | 1.7487 |
124
+ | 1.4214 | 2.6901 | 690 | 1.7471 |
125
+ | 0.9251 | 2.7290 | 700 | 1.7550 |
126
+ | 1.3379 | 2.7680 | 710 | 1.7502 |
127
+ | 2.1229 | 2.8070 | 720 | 1.7485 |
128
+ | 1.9831 | 2.8460 | 730 | 1.7448 |
129
+ | 1.4134 | 2.8850 | 740 | 1.7348 |
130
+ | 1.0077 | 2.9240 | 750 | 1.7426 |
131
+ | 1.2997 | 2.9630 | 760 | 1.7426 |
132
+ | 1.5318 | 3.0019 | 770 | 1.7349 |
133
+ | 2.3008 | 3.0409 | 780 | 1.7255 |
134
+ | 1.8745 | 3.0799 | 790 | 1.7276 |
135
+ | 1.146 | 3.1189 | 800 | 1.7298 |
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+ | 1.0261 | 3.1579 | 810 | 1.7374 |
137
+ | 1.3219 | 3.1969 | 820 | 1.7431 |
138
+ | 2.2955 | 3.2359 | 830 | 1.7253 |
139
+ | 1.8123 | 3.2749 | 840 | 1.7233 |
140
+ | 1.1207 | 3.3138 | 850 | 1.7222 |
141
+ | 0.9991 | 3.3528 | 860 | 1.7291 |
142
+ | 1.2965 | 3.3918 | 870 | 1.7280 |
143
+ | 2.2965 | 3.4308 | 880 | 1.7243 |
144
+ | 1.8012 | 3.4698 | 890 | 1.7186 |
145
+ | 1.0526 | 3.5088 | 900 | 1.7187 |
146
+ | 0.9943 | 3.5478 | 910 | 1.7296 |
147
+ | 1.318 | 3.5867 | 920 | 1.7271 |
148
+ | 2.2739 | 3.6257 | 930 | 1.7169 |
149
+ | 1.8798 | 3.6647 | 940 | 1.7152 |
150
+ | 1.1567 | 3.7037 | 950 | 1.7070 |
151
+ | 0.9919 | 3.7427 | 960 | 1.7166 |
152
+ | 1.3261 | 3.7817 | 970 | 1.7130 |
153
+ | 2.3114 | 3.8207 | 980 | 1.7050 |
154
+ | 1.8273 | 3.8596 | 990 | 1.7034 |
155
+ | 1.1196 | 3.8986 | 1000 | 1.7026 |
156
+ | 1.0395 | 3.9376 | 1010 | 1.7127 |
157
+ | 1.3201 | 3.9766 | 1020 | 1.7129 |
158
+ | 1.8356 | 4.0156 | 1030 | 1.6966 |
159
+ | 2.0688 | 4.0546 | 1040 | 1.6940 |
160
+ | 1.6132 | 4.0936 | 1050 | 1.6956 |
161
+ | 0.8688 | 4.1326 | 1060 | 1.7055 |
162
+ | 1.1553 | 4.1715 | 1070 | 1.7119 |
163
+ | 1.6403 | 4.2105 | 1080 | 1.7046 |
164
+ | 2.1075 | 4.2495 | 1090 | 1.6948 |
165
+ | 1.6034 | 4.2885 | 1100 | 1.6959 |
166
+ | 0.9718 | 4.3275 | 1110 | 1.6976 |
167
+ | 1.0579 | 4.3665 | 1120 | 1.7145 |
168
+ | 1.665 | 4.4055 | 1130 | 1.6964 |
169
+ | 2.0631 | 4.4444 | 1140 | 1.6893 |
170
+ | 1.4689 | 4.4834 | 1150 | 1.6904 |
171
+ | 0.912 | 4.5224 | 1160 | 1.6923 |
172
+ | 1.0805 | 4.5614 | 1170 | 1.7014 |
173
+ | 1.6814 | 4.6004 | 1180 | 1.6933 |
174
+ | 2.0787 | 4.6394 | 1190 | 1.6858 |
175
+ | 1.5954 | 4.6784 | 1200 | 1.6862 |
176
+ | 0.9737 | 4.7173 | 1210 | 1.6861 |
177
+ | 1.0679 | 4.7563 | 1220 | 1.6953 |
178
+ | 1.6742 | 4.7953 | 1230 | 1.6895 |
179
+ | 2.0564 | 4.8343 | 1240 | 1.6798 |
180
+ | 1.5753 | 4.8733 | 1250 | 1.6808 |
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+ | 0.9045 | 4.9123 | 1260 | 1.6801 |
182
+ | 1.0897 | 4.9513 | 1270 | 1.6883 |
183
+ | 1.3817 | 4.9903 | 1280 | 1.6865 |
184
+ | 2.0454 | 5.0292 | 1290 | 1.6746 |
185
+ | 1.8581 | 5.0682 | 1300 | 1.6706 |
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+ | 1.2457 | 5.1072 | 1310 | 1.6780 |
187
+ | 0.8817 | 5.1462 | 1320 | 1.6873 |
188
+ | 1.1588 | 5.1852 | 1330 | 1.6930 |
189
+ | 2.0329 | 5.2242 | 1340 | 1.6813 |
190
+ | 1.8986 | 5.2632 | 1350 | 1.6762 |
191
+ | 1.2858 | 5.3021 | 1360 | 1.6741 |
192
+ | 0.8416 | 5.3411 | 1370 | 1.6825 |
193
+ | 1.1407 | 5.3801 | 1380 | 1.6903 |
194
+ | 1.9853 | 5.4191 | 1390 | 1.6737 |
195
+ | 1.8268 | 5.4581 | 1400 | 1.6726 |
196
+ | 1.2513 | 5.4971 | 1410 | 1.6732 |
197
+ | 0.867 | 5.5361 | 1420 | 1.6779 |
198
+ | 1.1384 | 5.5750 | 1430 | 1.6867 |
199
+ | 2.0149 | 5.6140 | 1440 | 1.6721 |
200
+ | 1.8491 | 5.6530 | 1450 | 1.6690 |
201
+ | 1.3532 | 5.6920 | 1460 | 1.6700 |
202
+ | 0.8445 | 5.7310 | 1470 | 1.6740 |
203
+ | 1.1203 | 5.7700 | 1480 | 1.6833 |
204
+ | 2.0431 | 5.8090 | 1490 | 1.6672 |
205
+ | 1.7919 | 5.8480 | 1500 | 1.6647 |
206
+ | 1.1206 | 5.8869 | 1510 | 1.6644 |
207
+ | 0.8747 | 5.9259 | 1520 | 1.6688 |
208
+ | 1.1668 | 5.9649 | 1530 | 1.6802 |
209
+ | 1.3985 | 6.0039 | 1540 | 1.6616 |
210
+ | 2.1421 | 6.0429 | 1550 | 1.6563 |
211
+ | 1.6559 | 6.0819 | 1560 | 1.6583 |
212
+ | 0.9856 | 6.1209 | 1570 | 1.6690 |
213
+ | 0.9008 | 6.1598 | 1580 | 1.6789 |
214
+ | 1.2231 | 6.1988 | 1590 | 1.6901 |
215
+ | 2.131 | 6.2378 | 1600 | 1.6656 |
216
+ | 1.6599 | 6.2768 | 1610 | 1.6677 |
217
+ | 0.9681 | 6.3158 | 1620 | 1.6656 |
218
+ | 0.8858 | 6.3548 | 1630 | 1.6737 |
219
+ | 1.2407 | 6.3938 | 1640 | 1.6805 |
220
+ | 2.166 | 6.4327 | 1650 | 1.6594 |
221
+ | 1.6903 | 6.4717 | 1660 | 1.6588 |
222
+ | 0.945 | 6.5107 | 1670 | 1.6599 |
223
+ | 0.9337 | 6.5497 | 1680 | 1.6679 |
224
+ | 1.2023 | 6.5887 | 1690 | 1.6814 |
225
+ | 2.1931 | 6.6277 | 1700 | 1.6595 |
226
+ | 1.6423 | 6.6667 | 1710 | 1.6596 |
227
+ | 0.9213 | 6.7057 | 1720 | 1.6609 |
228
+ | 0.9269 | 6.7446 | 1730 | 1.6659 |
229
+ | 1.2439 | 6.7836 | 1740 | 1.6691 |
230
+ | 2.1721 | 6.8226 | 1750 | 1.6527 |
231
+ | 1.7012 | 6.8616 | 1760 | 1.6516 |
232
+ | 0.9872 | 6.9006 | 1770 | 1.6563 |
233
+ | 0.8626 | 6.9396 | 1780 | 1.6643 |
234
+ | 1.2399 | 6.9786 | 1790 | 1.6661 |
235
+ | 1.747 | 7.0175 | 1800 | 1.6468 |
236
+ | 1.8333 | 7.0565 | 1810 | 1.6455 |
237
+ | 1.3556 | 7.0955 | 1820 | 1.6538 |
238
+ | 0.8188 | 7.1345 | 1830 | 1.6637 |
239
+ | 0.9805 | 7.1735 | 1840 | 1.6687 |
240
+ | 1.6384 | 7.2125 | 1850 | 1.6642 |
241
+ | 1.9626 | 7.2515 | 1860 | 1.6491 |
242
+ | 1.4326 | 7.2904 | 1870 | 1.6582 |
243
+ | 0.8209 | 7.3294 | 1880 | 1.6608 |
244
+ | 0.9862 | 7.3684 | 1890 | 1.6661 |
245
+ | 1.6188 | 7.4074 | 1900 | 1.6634 |
246
+ | 1.9313 | 7.4464 | 1910 | 1.6480 |
247
+ | 1.3892 | 7.4854 | 1920 | 1.6551 |
248
+ | 0.79 | 7.5244 | 1930 | 1.6603 |
249
+ | 0.9712 | 7.5634 | 1940 | 1.6679 |
250
+ | 1.5826 | 7.6023 | 1950 | 1.6606 |
251
+ | 1.9704 | 7.6413 | 1960 | 1.6463 |
252
+ | 1.4192 | 7.6803 | 1970 | 1.6506 |
253
+ | 0.7849 | 7.7193 | 1980 | 1.6553 |
254
+ | 0.9904 | 7.7583 | 1990 | 1.6606 |
255
+ | 1.6352 | 7.7973 | 2000 | 1.6519 |
256
+ | 2.0166 | 7.8363 | 2010 | 1.6425 |
257
+ | 1.4613 | 7.8752 | 2020 | 1.6448 |
258
+ | 0.822 | 7.9142 | 2030 | 1.6523 |
259
+ | 0.9734 | 7.9532 | 2040 | 1.6570 |
260
+ | 1.2641 | 7.9922 | 2050 | 1.6503 |
261
+ | 2.0093 | 8.0312 | 2060 | 1.6390 |
262
+ | 1.7434 | 8.0702 | 2070 | 1.6389 |
263
+ | 1.1463 | 8.1092 | 2080 | 1.6490 |
264
+ | 0.7531 | 8.1481 | 2090 | 1.6601 |
265
+ | 1.0364 | 8.1871 | 2100 | 1.6617 |
266
+ | 1.9569 | 8.2261 | 2110 | 1.6436 |
267
+ | 1.7511 | 8.2651 | 2120 | 1.6394 |
268
+ | 1.1094 | 8.3041 | 2130 | 1.6526 |
269
+ | 0.7236 | 8.3431 | 2140 | 1.6619 |
270
+ | 1.0677 | 8.3821 | 2150 | 1.6602 |
271
+ | 1.9794 | 8.4211 | 2160 | 1.6436 |
272
+ | 1.7215 | 8.4600 | 2170 | 1.6370 |
273
+ | 1.0996 | 8.4990 | 2180 | 1.6489 |
274
+ | 0.7863 | 8.5380 | 2190 | 1.6542 |
275
+ | 1.0097 | 8.5770 | 2200 | 1.6568 |
276
+ | 1.9809 | 8.6160 | 2210 | 1.6434 |
277
+ | 1.6825 | 8.6550 | 2220 | 1.6360 |
278
+ | 1.0263 | 8.6940 | 2230 | 1.6434 |
279
+ | 0.7833 | 8.7329 | 2240 | 1.6501 |
280
+ | 1.0464 | 8.7719 | 2250 | 1.6508 |
281
+ | 1.9653 | 8.8109 | 2260 | 1.6401 |
282
+ | 1.7373 | 8.8499 | 2270 | 1.6344 |
283
+ | 1.1006 | 8.8889 | 2280 | 1.6413 |
284
+ | 0.8168 | 8.9279 | 2290 | 1.6541 |
285
+ | 0.9995 | 8.9669 | 2300 | 1.6534 |
286
+ | 1.4208 | 9.0058 | 2310 | 1.6379 |
287
+ | 1.9976 | 9.0448 | 2320 | 1.6321 |
288
+ | 1.6071 | 9.0838 | 2330 | 1.6334 |
289
+ | 0.8642 | 9.1228 | 2340 | 1.6474 |
290
+ | 0.7999 | 9.1618 | 2350 | 1.6597 |
291
+ | 1.1814 | 9.2008 | 2360 | 1.6597 |
292
+ | 2.0584 | 9.2398 | 2370 | 1.6371 |
293
+ | 1.553 | 9.2788 | 2380 | 1.6367 |
294
+ | 0.8407 | 9.3177 | 2390 | 1.6471 |
295
+ | 0.794 | 9.3567 | 2400 | 1.6581 |
296
+ | 1.174 | 9.3957 | 2410 | 1.6569 |
297
+ | 2.0687 | 9.4347 | 2420 | 1.6380 |
298
+ | 1.5462 | 9.4737 | 2430 | 1.6351 |
299
+ | 0.8547 | 9.5127 | 2440 | 1.6441 |
300
+ | 0.8228 | 9.5517 | 2450 | 1.6526 |
301
+ | 1.2233 | 9.5906 | 2460 | 1.6499 |
302
+ | 2.0733 | 9.6296 | 2470 | 1.6349 |
303
+ | 1.538 | 9.6686 | 2480 | 1.6347 |
304
+ | 0.8964 | 9.7076 | 2490 | 1.6424 |
305
+ | 0.8674 | 9.7466 | 2500 | 1.6536 |
306
+ | 1.2348 | 9.7856 | 2510 | 1.6496 |
307
+ | 2.0887 | 9.8246 | 2520 | 1.6320 |
308
+ | 1.5475 | 9.8635 | 2530 | 1.6309 |
309
+ | 0.8144 | 9.9025 | 2540 | 1.6412 |
310
+ | 0.8235 | 9.9415 | 2550 | 1.6502 |
311
+ | 1.178 | 9.9805 | 2560 | 1.6487 |
312
+ | 1.6384 | 10.0195 | 2570 | 1.6345 |
313
+ | 1.8175 | 10.0585 | 2580 | 1.6300 |
314
+ | 1.2408 | 10.0975 | 2590 | 1.6356 |
315
+ | 0.7216 | 10.1365 | 2600 | 1.6489 |
316
+ | 0.8593 | 10.1754 | 2610 | 1.6568 |
317
+ | 1.607 | 10.2144 | 2620 | 1.6480 |
318
+ | 1.8762 | 10.2534 | 2630 | 1.6334 |
319
+ | 1.3494 | 10.2924 | 2640 | 1.6354 |
320
+ | 0.7465 | 10.3314 | 2650 | 1.6458 |
321
+ | 0.8743 | 10.3704 | 2660 | 1.6558 |
322
+ | 1.6364 | 10.4094 | 2670 | 1.6468 |
323
+ | 1.8216 | 10.4483 | 2680 | 1.6318 |
324
+ | 1.2798 | 10.4873 | 2690 | 1.6353 |
325
+ | 0.726 | 10.5263 | 2700 | 1.6452 |
326
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327
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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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+ },
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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
@@ -0,0 +1,3 @@
 
 
 
 
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