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End of training

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README.md ADDED
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+ ---
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+ license: gemma
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+ base_model: google/gemma-2-2b
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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: collapse_gemma-2-2b_hs2_accumulate_iter10_sftsd1
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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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+ # collapse_gemma-2-2b_hs2_accumulate_iter10_sftsd1
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+
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+ This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1167
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+ - Num Input Tokens Seen: 79914736
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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: 8e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 16
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+ - seed: 1
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant_with_warmup
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:------:|:----:|:---------------:|:-----------------:|
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+ | No log | 0 | 0 | 1.3956 | 0 |
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+ | 1.6969 | 0.0034 | 5 | 1.3951 | 274520 |
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+ | 1.7247 | 0.0067 | 10 | 1.3855 | 536248 |
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+ | 1.6971 | 0.0101 | 15 | 1.3559 | 794656 |
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+ | 1.5505 | 0.0134 | 20 | 1.3144 | 1057184 |
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+ | 1.4888 | 0.0168 | 25 | 1.2676 | 1325376 |
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+ | 1.4116 | 0.0201 | 30 | 1.2360 | 1590216 |
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+ | 1.3821 | 0.0235 | 35 | 1.2014 | 1856792 |
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+ | 1.2761 | 0.0269 | 40 | 1.1797 | 2122920 |
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+ | 1.2308 | 0.0302 | 45 | 1.1840 | 2389448 |
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+ | 1.0825 | 0.0336 | 50 | 1.1769 | 2656888 |
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+ | 0.9702 | 0.0369 | 55 | 1.1934 | 2929040 |
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+ | 0.9769 | 0.0403 | 60 | 1.2092 | 3198992 |
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+ | 0.9024 | 0.0436 | 65 | 1.2254 | 3464528 |
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+ | 0.7529 | 0.0470 | 70 | 1.2581 | 3739016 |
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+ | 0.669 | 0.0503 | 75 | 1.2635 | 4008712 |
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+ | 0.5191 | 0.0537 | 80 | 1.2575 | 4274960 |
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+ | 0.542 | 0.0571 | 85 | 1.2787 | 4543312 |
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+ | 0.4904 | 0.0604 | 90 | 1.2413 | 4812616 |
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+ | 0.5359 | 0.0638 | 95 | 1.2510 | 5084096 |
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+ | 0.4912 | 0.0671 | 100 | 1.2598 | 5346872 |
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+ | 0.5011 | 0.0705 | 105 | 1.2444 | 5618744 |
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+ | 0.3716 | 0.0738 | 110 | 1.2566 | 5887456 |
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+ | 0.3875 | 0.0772 | 115 | 1.2413 | 6147240 |
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+ | 0.3736 | 0.0806 | 120 | 1.2509 | 6419136 |
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+ | 0.3425 | 0.0839 | 125 | 1.2330 | 6688224 |
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+ | 0.3669 | 0.0873 | 130 | 1.2457 | 6960624 |
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+ | 0.3833 | 0.0906 | 135 | 1.2355 | 7230360 |
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+ | 0.3502 | 0.0940 | 140 | 1.2348 | 7495960 |
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+ | 0.2222 | 0.0973 | 145 | 1.2303 | 7759832 |
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+ | 0.306 | 0.1007 | 150 | 1.2309 | 8023008 |
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+ | 0.2853 | 0.1040 | 155 | 1.2251 | 8291856 |
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+ | 0.2142 | 0.1074 | 160 | 1.2278 | 8558584 |
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+ | 0.2133 | 0.1108 | 165 | 1.2302 | 8826152 |
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+ | 0.2138 | 0.1141 | 170 | 1.2144 | 9085872 |
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+ | 0.2081 | 0.1175 | 175 | 1.2229 | 9356664 |
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+ | 0.2293 | 0.1208 | 180 | 1.2104 | 9620688 |
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+ | 0.2127 | 0.1242 | 185 | 1.2258 | 9887336 |
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+ | 0.3055 | 0.1275 | 190 | 1.2244 | 10160352 |
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+ | 0.2662 | 0.1309 | 195 | 1.2163 | 10426336 |
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+ | 0.2016 | 0.1343 | 200 | 1.2154 | 10691600 |
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+ | 0.2648 | 0.1376 | 205 | 1.2139 | 10953744 |
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+ | 0.2557 | 0.1410 | 210 | 1.2189 | 11225024 |
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+ | 0.1682 | 0.1443 | 215 | 1.2162 | 11482352 |
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+ | 0.2824 | 0.1477 | 220 | 1.2151 | 11751184 |
100
+ | 0.2768 | 0.1510 | 225 | 1.2059 | 12022384 |
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+ | 0.2023 | 0.1544 | 230 | 1.2179 | 12292184 |
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+ | 0.1284 | 0.1577 | 235 | 1.2030 | 12551920 |
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+ | 0.206 | 0.1611 | 240 | 1.2042 | 12817864 |
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+ | 0.2329 | 0.1645 | 245 | 1.2060 | 13086560 |
105
+ | 0.1701 | 0.1678 | 250 | 1.2076 | 13363296 |
106
+ | 0.185 | 0.1712 | 255 | 1.2069 | 13622392 |
107
+ | 0.2238 | 0.1745 | 260 | 1.2045 | 13892440 |
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+ | 0.2461 | 0.1779 | 265 | 1.2114 | 14170792 |
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+ | 0.1719 | 0.1812 | 270 | 1.2012 | 14437568 |
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+ | 0.2358 | 0.1846 | 275 | 1.2021 | 14705848 |
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+ | 0.2734 | 0.1880 | 280 | 1.1977 | 14971224 |
112
+ | 0.2401 | 0.1913 | 285 | 1.2009 | 15234936 |
113
+ | 0.1394 | 0.1947 | 290 | 1.2031 | 15503568 |
114
+ | 0.1886 | 0.1980 | 295 | 1.2006 | 15770672 |
115
+ | 0.2118 | 0.2014 | 300 | 1.1991 | 16040928 |
116
+ | 0.2086 | 0.2047 | 305 | 1.2006 | 16307384 |
117
+ | 0.2199 | 0.2081 | 310 | 1.2041 | 16571672 |
118
+ | 0.1578 | 0.2114 | 315 | 1.1985 | 16840096 |
119
+ | 0.202 | 0.2148 | 320 | 1.2014 | 17107208 |
120
+ | 0.1779 | 0.2182 | 325 | 1.1942 | 17370312 |
121
+ | 0.154 | 0.2215 | 330 | 1.2002 | 17645720 |
122
+ | 0.2082 | 0.2249 | 335 | 1.1903 | 17918096 |
123
+ | 0.1433 | 0.2282 | 340 | 1.1903 | 18177488 |
124
+ | 0.1186 | 0.2316 | 345 | 1.1961 | 18442792 |
125
+ | 0.152 | 0.2349 | 350 | 1.1864 | 18713744 |
126
+ | 0.181 | 0.2383 | 355 | 1.1932 | 18980280 |
127
+ | 0.1509 | 0.2417 | 360 | 1.1896 | 19243912 |
128
+ | 0.1385 | 0.2450 | 365 | 1.1840 | 19498304 |
129
+ | 0.1692 | 0.2484 | 370 | 1.1834 | 19769968 |
130
+ | 0.2464 | 0.2517 | 375 | 1.1833 | 20037160 |
131
+ | 0.1261 | 0.2551 | 380 | 1.1865 | 20301888 |
132
+ | 0.1861 | 0.2584 | 385 | 1.1814 | 20573456 |
133
+ | 0.0906 | 0.2618 | 390 | 1.1923 | 20843208 |
134
+ | 0.0978 | 0.2651 | 395 | 1.1946 | 21114608 |
135
+ | 0.1543 | 0.2685 | 400 | 1.1790 | 21383608 |
136
+ | 0.226 | 0.2719 | 405 | 1.1823 | 21652128 |
137
+ | 0.22 | 0.2752 | 410 | 1.1884 | 21917384 |
138
+ | 0.1618 | 0.2786 | 415 | 1.1734 | 22186024 |
139
+ | 0.171 | 0.2819 | 420 | 1.1758 | 22452312 |
140
+ | 0.1548 | 0.2853 | 425 | 1.1857 | 22725832 |
141
+ | 0.167 | 0.2886 | 430 | 1.1821 | 22996512 |
142
+ | 0.1683 | 0.2920 | 435 | 1.1751 | 23267896 |
143
+ | 0.1115 | 0.2954 | 440 | 1.1812 | 23533192 |
144
+ | 0.2112 | 0.2987 | 445 | 1.1767 | 23802024 |
145
+ | 0.1973 | 0.3021 | 450 | 1.1709 | 24068536 |
146
+ | 0.1267 | 0.3054 | 455 | 1.1758 | 24338256 |
147
+ | 0.1875 | 0.3088 | 460 | 1.1755 | 24598888 |
148
+ | 0.193 | 0.3121 | 465 | 1.1733 | 24871376 |
149
+ | 0.1864 | 0.3155 | 470 | 1.1773 | 25141776 |
150
+ | 0.1256 | 0.3188 | 475 | 1.1738 | 25415760 |
151
+ | 0.1698 | 0.3222 | 480 | 1.1734 | 25683584 |
152
+ | 0.1905 | 0.3256 | 485 | 1.1721 | 25956480 |
153
+ | 0.1276 | 0.3289 | 490 | 1.1701 | 26224168 |
154
+ | 0.1634 | 0.3323 | 495 | 1.1690 | 26501456 |
155
+ | 0.1202 | 0.3356 | 500 | 1.1681 | 26775344 |
156
+ | 0.1286 | 0.3390 | 505 | 1.1705 | 27041632 |
157
+ | 0.17 | 0.3423 | 510 | 1.1692 | 27312216 |
158
+ | 0.1679 | 0.3457 | 515 | 1.1643 | 27584272 |
159
+ | 0.1749 | 0.3491 | 520 | 1.1695 | 27854528 |
160
+ | 0.1164 | 0.3524 | 525 | 1.1676 | 28117224 |
161
+ | 0.1919 | 0.3558 | 530 | 1.1632 | 28388312 |
162
+ | 0.1876 | 0.3591 | 535 | 1.1646 | 28657392 |
163
+ | 0.198 | 0.3625 | 540 | 1.1626 | 28925760 |
164
+ | 0.1769 | 0.3658 | 545 | 1.1616 | 29189176 |
165
+ | 0.1345 | 0.3692 | 550 | 1.1589 | 29452488 |
166
+ | 0.2572 | 0.3725 | 555 | 1.1598 | 29722936 |
167
+ | 0.1343 | 0.3759 | 560 | 1.1632 | 29998000 |
168
+ | 0.2109 | 0.3793 | 565 | 1.1627 | 30271904 |
169
+ | 0.1888 | 0.3826 | 570 | 1.1565 | 30533112 |
170
+ | 0.0746 | 0.3860 | 575 | 1.1581 | 30800688 |
171
+ | 0.2233 | 0.3893 | 580 | 1.1595 | 31064368 |
172
+ | 0.148 | 0.3927 | 585 | 1.1535 | 31333112 |
173
+ | 0.125 | 0.3960 | 590 | 1.1546 | 31609328 |
174
+ | 0.1426 | 0.3994 | 595 | 1.1606 | 31879224 |
175
+ | 0.1265 | 0.4028 | 600 | 1.1567 | 32143080 |
176
+ | 0.1714 | 0.4061 | 605 | 1.1532 | 32411296 |
177
+ | 0.137 | 0.4095 | 610 | 1.1551 | 32686376 |
178
+ | 0.2077 | 0.4128 | 615 | 1.1533 | 32952968 |
179
+ | 0.1127 | 0.4162 | 620 | 1.1546 | 33210696 |
180
+ | 0.1404 | 0.4195 | 625 | 1.1564 | 33475464 |
181
+ | 0.1387 | 0.4229 | 630 | 1.1538 | 33741256 |
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+ | 0.1381 | 0.4262 | 635 | 1.1535 | 34008496 |
183
+ | 0.142 | 0.4296 | 640 | 1.1552 | 34275232 |
184
+ | 0.1087 | 0.4330 | 645 | 1.1530 | 34544824 |
185
+ | 0.1969 | 0.4363 | 650 | 1.1497 | 34813592 |
186
+ | 0.1426 | 0.4397 | 655 | 1.1510 | 35080320 |
187
+ | 0.1643 | 0.4430 | 660 | 1.1498 | 35341616 |
188
+ | 0.1242 | 0.4464 | 665 | 1.1492 | 35608032 |
189
+ | 0.1364 | 0.4497 | 670 | 1.1513 | 35880072 |
190
+ | 0.1892 | 0.4531 | 675 | 1.1489 | 36142592 |
191
+ | 0.0953 | 0.4565 | 680 | 1.1466 | 36410560 |
192
+ | 0.2022 | 0.4598 | 685 | 1.1493 | 36683312 |
193
+ | 0.1351 | 0.4632 | 690 | 1.1482 | 36949920 |
194
+ | 0.1406 | 0.4665 | 695 | 1.1462 | 37216136 |
195
+ | 0.1169 | 0.4699 | 700 | 1.1455 | 37489968 |
196
+ | 0.078 | 0.4732 | 705 | 1.1503 | 37758560 |
197
+ | 0.1696 | 0.4766 | 710 | 1.1492 | 38030016 |
198
+ | 0.1178 | 0.4799 | 715 | 1.1484 | 38300112 |
199
+ | 0.143 | 0.4833 | 720 | 1.1464 | 38568368 |
200
+ | 0.1707 | 0.4867 | 725 | 1.1465 | 38837120 |
201
+ | 0.0681 | 0.4900 | 730 | 1.1481 | 39109088 |
202
+ | 0.153 | 0.4934 | 735 | 1.1460 | 39373168 |
203
+ | 0.1103 | 0.4967 | 740 | 1.1425 | 39640360 |
204
+ | 0.0952 | 0.5001 | 745 | 1.1497 | 39901928 |
205
+ | 0.1689 | 0.5034 | 750 | 1.1488 | 40176072 |
206
+ | 0.1765 | 0.5068 | 755 | 1.1430 | 40447264 |
207
+ | 0.1576 | 0.5102 | 760 | 1.1445 | 40711480 |
208
+ | 0.1307 | 0.5135 | 765 | 1.1438 | 40978888 |
209
+ | 0.156 | 0.5169 | 770 | 1.1438 | 41244560 |
210
+ | 0.1372 | 0.5202 | 775 | 1.1439 | 41515032 |
211
+ | 0.1315 | 0.5236 | 780 | 1.1407 | 41779296 |
212
+ | 0.1256 | 0.5269 | 785 | 1.1418 | 42049072 |
213
+ | 0.1056 | 0.5303 | 790 | 1.1412 | 42319328 |
214
+ | 0.1188 | 0.5336 | 795 | 1.1427 | 42589408 |
215
+ | 0.1588 | 0.5370 | 800 | 1.1454 | 42861488 |
216
+ | 0.1134 | 0.5404 | 805 | 1.1456 | 43131600 |
217
+ | 0.0708 | 0.5437 | 810 | 1.1425 | 43399240 |
218
+ | 0.1954 | 0.5471 | 815 | 1.1385 | 43666360 |
219
+ | 0.1812 | 0.5504 | 820 | 1.1416 | 43936120 |
220
+ | 0.1669 | 0.5538 | 825 | 1.1404 | 44205176 |
221
+ | 0.1538 | 0.5571 | 830 | 1.1405 | 44476200 |
222
+ | 0.1614 | 0.5605 | 835 | 1.1399 | 44738808 |
223
+ | 0.1507 | 0.5639 | 840 | 1.1402 | 45010280 |
224
+ | 0.1155 | 0.5672 | 845 | 1.1398 | 45277752 |
225
+ | 0.1539 | 0.5706 | 850 | 1.1367 | 45541240 |
226
+ | 0.2072 | 0.5739 | 855 | 1.1353 | 45818304 |
227
+ | 0.1064 | 0.5773 | 860 | 1.1355 | 46086160 |
228
+ | 0.1371 | 0.5806 | 865 | 1.1371 | 46352824 |
229
+ | 0.1804 | 0.5840 | 870 | 1.1378 | 46625200 |
230
+ | 0.1438 | 0.5873 | 875 | 1.1393 | 46895288 |
231
+ | 0.1544 | 0.5907 | 880 | 1.1387 | 47159272 |
232
+ | 0.1394 | 0.5941 | 885 | 1.1375 | 47424840 |
233
+ | 0.1526 | 0.5974 | 890 | 1.1366 | 47684304 |
234
+ | 0.1577 | 0.6008 | 895 | 1.1334 | 47958144 |
235
+ | 0.1263 | 0.6041 | 900 | 1.1349 | 48223704 |
236
+ | 0.1499 | 0.6075 | 905 | 1.1385 | 48487392 |
237
+ | 0.1163 | 0.6108 | 910 | 1.1373 | 48758960 |
238
+ | 0.1612 | 0.6142 | 915 | 1.1354 | 49029832 |
239
+ | 0.1178 | 0.6176 | 920 | 1.1364 | 49300896 |
240
+ | 0.127 | 0.6209 | 925 | 1.1361 | 49566832 |
241
+ | 0.1553 | 0.6243 | 930 | 1.1344 | 49837136 |
242
+ | 0.1389 | 0.6276 | 935 | 1.1343 | 50107024 |
243
+ | 0.1347 | 0.6310 | 940 | 1.1368 | 50383280 |
244
+ | 0.1381 | 0.6343 | 945 | 1.1343 | 50650792 |
245
+ | 0.1109 | 0.6377 | 950 | 1.1324 | 50926640 |
246
+ | 0.155 | 0.6410 | 955 | 1.1328 | 51196952 |
247
+ | 0.114 | 0.6444 | 960 | 1.1345 | 51467480 |
248
+ | 0.1161 | 0.6478 | 965 | 1.1350 | 51737648 |
249
+ | 0.1072 | 0.6511 | 970 | 1.1311 | 52014736 |
250
+ | 0.1533 | 0.6545 | 975 | 1.1294 | 52282944 |
251
+ | 0.1592 | 0.6578 | 980 | 1.1301 | 52554656 |
252
+ | 0.1343 | 0.6612 | 985 | 1.1337 | 52820920 |
253
+ | 0.1682 | 0.6645 | 990 | 1.1305 | 53083288 |
254
+ | 0.139 | 0.6679 | 995 | 1.1307 | 53347344 |
255
+ | 0.127 | 0.6713 | 1000 | 1.1312 | 53615128 |
256
+ | 0.1377 | 0.6746 | 1005 | 1.1302 | 53879272 |
257
+ | 0.1313 | 0.6780 | 1010 | 1.1314 | 54147360 |
258
+ | 0.1482 | 0.6813 | 1015 | 1.1326 | 54419288 |
259
+ | 0.1676 | 0.6847 | 1020 | 1.1297 | 54693584 |
260
+ | 0.1134 | 0.6880 | 1025 | 1.1289 | 54969304 |
261
+ | 0.1362 | 0.6914 | 1030 | 1.1316 | 55236088 |
262
+ | 0.2042 | 0.6947 | 1035 | 1.1298 | 55502680 |
263
+ | 0.0971 | 0.6981 | 1040 | 1.1262 | 55768888 |
264
+ | 0.1224 | 0.7015 | 1045 | 1.1295 | 56038296 |
265
+ | 0.1185 | 0.7048 | 1050 | 1.1338 | 56304576 |
266
+ | 0.1152 | 0.7082 | 1055 | 1.1291 | 56576800 |
267
+ | 0.104 | 0.7115 | 1060 | 1.1261 | 56842256 |
268
+ | 0.1305 | 0.7149 | 1065 | 1.1266 | 57111664 |
269
+ | 0.1256 | 0.7182 | 1070 | 1.1282 | 57384072 |
270
+ | 0.1328 | 0.7216 | 1075 | 1.1280 | 57655856 |
271
+ | 0.0891 | 0.7250 | 1080 | 1.1263 | 57925792 |
272
+ | 0.0878 | 0.7283 | 1085 | 1.1266 | 58195608 |
273
+ | 0.2146 | 0.7317 | 1090 | 1.1283 | 58465256 |
274
+ | 0.1634 | 0.7350 | 1095 | 1.1258 | 58726016 |
275
+ | 0.159 | 0.7384 | 1100 | 1.1239 | 58999152 |
276
+ | 0.165 | 0.7417 | 1105 | 1.1266 | 59275840 |
277
+ | 0.1169 | 0.7451 | 1110 | 1.1286 | 59542128 |
278
+ | 0.1665 | 0.7484 | 1115 | 1.1269 | 59815952 |
279
+ | 0.1763 | 0.7518 | 1120 | 1.1261 | 60092208 |
280
+ | 0.1704 | 0.7552 | 1125 | 1.1268 | 60357632 |
281
+ | 0.1197 | 0.7585 | 1130 | 1.1263 | 60617328 |
282
+ | 0.0815 | 0.7619 | 1135 | 1.1244 | 60883240 |
283
+ | 0.1476 | 0.7652 | 1140 | 1.1241 | 61151384 |
284
+ | 0.0906 | 0.7686 | 1145 | 1.1256 | 61418744 |
285
+ | 0.1546 | 0.7719 | 1150 | 1.1247 | 61695424 |
286
+ | 0.1095 | 0.7753 | 1155 | 1.1254 | 61971352 |
287
+ | 0.0898 | 0.7787 | 1160 | 1.1261 | 62239416 |
288
+ | 0.1557 | 0.7820 | 1165 | 1.1256 | 62509944 |
289
+ | 0.1142 | 0.7854 | 1170 | 1.1242 | 62785888 |
290
+ | 0.153 | 0.7887 | 1175 | 1.1223 | 63051432 |
291
+ | 0.1057 | 0.7921 | 1180 | 1.1230 | 63317816 |
292
+ | 0.1868 | 0.7954 | 1185 | 1.1240 | 63585688 |
293
+ | 0.1111 | 0.7988 | 1190 | 1.1237 | 63855360 |
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+ | 0.0779 | 0.8021 | 1195 | 1.1253 | 64124632 |
295
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300
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+ | 0.18 | 0.8256 | 1230 | 1.1231 | 66010504 |
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+ | 0.0779 | 0.8357 | 1245 | 1.1207 | 66823736 |
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+ | 0.1115 | 0.8391 | 1250 | 1.1239 | 67097320 |
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+
354
+
355
+ ### Framework versions
356
+
357
+ - Transformers 4.44.0
358
+ - Pytorch 2.4.0+cu121
359
+ - Datasets 2.20.0
360
+ - Tokenizers 0.19.1
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