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collapse_gemma-2-2b_hs2_accumulate_iter2_sftsd0

Safetensors
gemma2
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sft
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  1. README.md +50 -49
  2. model-00001-of-00002.safetensors +1 -1
  3. model-00002-of-00002.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.0984
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- - Num Input Tokens Seen: 13659720
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  ## Model description
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@@ -53,53 +53,54 @@ The following hyperparameters were used during training:
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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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- | 1.5531 | 0.0212 | 5 | 1.3472 | 288104 |
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- | 1.4348 | 0.0424 | 10 | 1.2295 | 576872 |
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- | 1.2322 | 0.0637 | 15 | 1.1656 | 869808 |
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- | 1.2762 | 0.0849 | 20 | 1.1384 | 1159280 |
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- | 1.2061 | 0.1061 | 25 | 1.1167 | 1445800 |
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- | 1.1065 | 0.1273 | 30 | 1.1183 | 1737040 |
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- | 1.0708 | 0.1485 | 35 | 1.1157 | 2028808 |
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- | 1.0129 | 0.1698 | 40 | 1.1228 | 2317296 |
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- | 1.0964 | 0.1910 | 45 | 1.1219 | 2606832 |
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- | 0.952 | 0.2122 | 50 | 1.1314 | 2897496 |
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- | 0.9902 | 0.2334 | 55 | 1.1331 | 3185128 |
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- | 0.9192 | 0.2546 | 60 | 1.1374 | 3474640 |
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- | 0.8986 | 0.2759 | 65 | 1.1425 | 3765992 |
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- | 0.924 | 0.2971 | 70 | 1.1470 | 4054616 |
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- | 0.7932 | 0.3183 | 75 | 1.1427 | 4342128 |
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- | 0.786 | 0.3395 | 80 | 1.1339 | 4635960 |
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- | 0.7942 | 0.3607 | 85 | 1.1463 | 4924104 |
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- | 0.7853 | 0.3820 | 90 | 1.1366 | 5221776 |
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- | 0.7756 | 0.4032 | 95 | 1.1401 | 5518880 |
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- | 0.7234 | 0.4244 | 100 | 1.1409 | 5807952 |
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- | 0.6796 | 0.4456 | 105 | 1.1375 | 6097736 |
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- | 0.7057 | 0.4668 | 110 | 1.1358 | 6389024 |
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- | 0.6643 | 0.4881 | 115 | 1.1319 | 6676240 |
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- | 0.6056 | 0.5093 | 120 | 1.1325 | 6972560 |
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- | 0.7367 | 0.5305 | 125 | 1.1261 | 7266136 |
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- | 0.6676 | 0.5517 | 130 | 1.1280 | 7559304 |
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- | 0.6311 | 0.5729 | 135 | 1.1280 | 7851048 |
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- | 0.619 | 0.5942 | 140 | 1.1257 | 8137440 |
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- | 0.5375 | 0.6154 | 145 | 1.1252 | 8429648 |
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- | 0.6636 | 0.6366 | 150 | 1.1221 | 8720304 |
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- | 0.6676 | 0.6578 | 155 | 1.1219 | 9012000 |
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- | 0.6566 | 0.6790 | 160 | 1.1174 | 9307096 |
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- | 0.6165 | 0.7003 | 165 | 1.1171 | 9593952 |
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- | 0.6821 | 0.7215 | 170 | 1.1123 | 9881896 |
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- | 0.5622 | 0.7427 | 175 | 1.1184 | 10169456 |
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- | 0.5475 | 0.7639 | 180 | 1.1111 | 10463368 |
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- | 0.5204 | 0.7851 | 185 | 1.1106 | 10753920 |
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- | 0.6234 | 0.8064 | 190 | 1.1060 | 11048472 |
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- | 0.6712 | 0.8276 | 195 | 1.1079 | 11342848 |
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- | 0.7383 | 0.8488 | 200 | 1.1029 | 11627488 |
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- | 0.5068 | 0.8700 | 205 | 1.1063 | 11919512 |
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- | 0.6154 | 0.8912 | 210 | 1.1018 | 12212568 |
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- | 0.5763 | 0.9125 | 215 | 1.1015 | 12500640 |
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- | 0.5855 | 0.9337 | 220 | 1.1008 | 12787720 |
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- | 0.5961 | 0.9549 | 225 | 1.0995 | 13079904 |
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- | 0.5214 | 0.9761 | 230 | 1.0976 | 13373880 |
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- | 0.5016 | 0.9973 | 235 | 1.0984 | 13659720 |
 
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  ### Framework versions
 
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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: 1.0982
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+ - Num Input Tokens Seen: 13719864
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  ## Model description
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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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+ | 1.5182 | 0.0206 | 5 | 1.3566 | 278016 |
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+ | 1.3436 | 0.0412 | 10 | 1.2405 | 555760 |
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+ | 1.3099 | 0.0618 | 15 | 1.1728 | 837248 |
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+ | 1.2444 | 0.0824 | 20 | 1.1443 | 1121888 |
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+ | 1.1566 | 0.1030 | 25 | 1.1190 | 1405760 |
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+ | 1.1179 | 0.1236 | 30 | 1.1236 | 1685480 |
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+ | 1.0755 | 0.1441 | 35 | 1.1197 | 1969520 |
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+ | 1.0909 | 0.1647 | 40 | 1.1289 | 2256056 |
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+ | 1.0004 | 0.1853 | 45 | 1.1258 | 2535072 |
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+ | 0.9337 | 0.2059 | 50 | 1.1361 | 2820504 |
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+ | 0.9769 | 0.2265 | 55 | 1.1384 | 3097544 |
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+ | 0.9309 | 0.2471 | 60 | 1.1453 | 3381016 |
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+ | 0.8221 | 0.2677 | 65 | 1.1451 | 3662552 |
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+ | 0.8448 | 0.2883 | 70 | 1.1362 | 3944008 |
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+ | 0.8068 | 0.3089 | 75 | 1.1422 | 4228616 |
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+ | 0.7794 | 0.3295 | 80 | 1.1449 | 4518704 |
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+ | 0.839 | 0.3501 | 85 | 1.1377 | 4803488 |
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+ | 0.7914 | 0.3707 | 90 | 1.1424 | 5092912 |
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+ | 0.7824 | 0.3912 | 95 | 1.1396 | 5376328 |
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+ | 0.7763 | 0.4118 | 100 | 1.1373 | 5657216 |
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+ | 0.7058 | 0.4324 | 105 | 1.1450 | 5936696 |
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+ | 0.7919 | 0.4530 | 110 | 1.1338 | 6218640 |
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+ | 0.6291 | 0.4736 | 115 | 1.1381 | 6500728 |
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+ | 0.6368 | 0.4942 | 120 | 1.1359 | 6781720 |
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+ | 0.6676 | 0.5148 | 125 | 1.1343 | 7069904 |
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+ | 0.6567 | 0.5354 | 130 | 1.1299 | 7351616 |
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+ | 0.7838 | 0.5560 | 135 | 1.1330 | 7641760 |
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+ | 0.6401 | 0.5766 | 140 | 1.1291 | 7931072 |
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+ | 0.6275 | 0.5972 | 145 | 1.1238 | 8217432 |
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+ | 0.6238 | 0.6178 | 150 | 1.1258 | 8498184 |
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+ | 0.639 | 0.6384 | 155 | 1.1231 | 8779760 |
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+ | 0.6416 | 0.6589 | 160 | 1.1231 | 9062392 |
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+ | 0.6282 | 0.6795 | 165 | 1.1192 | 9342232 |
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+ | 0.5363 | 0.7001 | 170 | 1.1197 | 9620560 |
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+ | 0.6333 | 0.7207 | 175 | 1.1168 | 9904800 |
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+ | 0.5421 | 0.7413 | 180 | 1.1152 | 10188928 |
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+ | 0.5879 | 0.7619 | 185 | 1.1131 | 10471944 |
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+ | 0.5608 | 0.7825 | 190 | 1.1117 | 10758568 |
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+ | 0.4817 | 0.8031 | 195 | 1.1109 | 11046576 |
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+ | 0.5578 | 0.8237 | 200 | 1.1081 | 11328352 |
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+ | 0.5967 | 0.8443 | 205 | 1.1053 | 11609888 |
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+ | 0.6086 | 0.8649 | 210 | 1.1074 | 11894256 |
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+ | 0.6493 | 0.8855 | 215 | 1.1021 | 12180976 |
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+ | 0.5754 | 0.9060 | 220 | 1.1066 | 12462336 |
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+ | 0.5951 | 0.9266 | 225 | 1.1012 | 12744360 |
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+ | 0.699 | 0.9472 | 230 | 1.1005 | 13035416 |
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+ | 0.5918 | 0.9678 | 235 | 1.1012 | 13324984 |
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+ | 0.6331 | 0.9884 | 240 | 1.0977 | 13606712 |
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  ### Framework versions
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