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Litzy619
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GOLM3

Safetensors
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End of training

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  1. README.md +34 -34
  2. adapter_model.bin +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1016
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  ## Model description
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@@ -50,39 +50,39 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.7996 | 0.09 | 10 | 1.4084 |
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- | 0.9949 | 0.18 | 20 | 0.5027 |
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- | 0.3011 | 0.27 | 30 | 0.1578 |
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- | 0.1527 | 0.36 | 40 | 0.1481 |
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- | 0.1447 | 0.45 | 50 | 0.1469 |
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- | 0.1451 | 0.54 | 60 | 0.1464 |
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- | 0.142 | 0.63 | 70 | 0.1422 |
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- | 0.1422 | 0.73 | 80 | 0.1372 |
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- | 0.1304 | 0.82 | 90 | 0.1289 |
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- | 0.1241 | 0.91 | 100 | 0.1269 |
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- | 0.1263 | 1.0 | 110 | 0.1302 |
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- | 0.1163 | 1.09 | 120 | 0.1185 |
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- | 0.1091 | 1.18 | 130 | 0.1211 |
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- | 0.1143 | 1.27 | 140 | 0.1143 |
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- | 0.1131 | 1.36 | 150 | 0.1113 |
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- | 0.1127 | 1.45 | 160 | 0.1115 |
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- | 0.1087 | 1.54 | 170 | 0.1073 |
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- | 0.1086 | 1.63 | 180 | 0.1064 |
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- | 0.1069 | 1.72 | 190 | 0.1053 |
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- | 0.1027 | 1.81 | 200 | 0.1047 |
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- | 0.1037 | 1.9 | 210 | 0.1022 |
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- | 0.1072 | 1.99 | 220 | 0.1029 |
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- | 0.0896 | 2.08 | 230 | 0.1056 |
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- | 0.0918 | 2.18 | 240 | 0.1024 |
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- | 0.0828 | 2.27 | 250 | 0.1026 |
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- | 0.0861 | 2.36 | 260 | 0.1022 |
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- | 0.0853 | 2.45 | 270 | 0.1049 |
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- | 0.0809 | 2.54 | 280 | 0.1028 |
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- | 0.0782 | 2.63 | 290 | 0.1021 |
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- | 0.0814 | 2.72 | 300 | 0.1021 |
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- | 0.0849 | 2.81 | 310 | 0.1019 |
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- | 0.0838 | 2.9 | 320 | 0.1016 |
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- | 0.0864 | 2.99 | 330 | 0.1016 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1033
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.8196 | 0.09 | 10 | 1.4618 |
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+ | 1.0741 | 0.18 | 20 | 0.5866 |
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+ | 0.3626 | 0.27 | 30 | 0.1793 |
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+ | 0.1587 | 0.36 | 40 | 0.1503 |
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+ | 0.1454 | 0.45 | 50 | 0.1476 |
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+ | 0.1461 | 0.54 | 60 | 0.1476 |
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+ | 0.143 | 0.63 | 70 | 0.1443 |
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+ | 0.1452 | 0.73 | 80 | 0.1424 |
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+ | 0.1345 | 0.82 | 90 | 0.1372 |
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+ | 0.1286 | 0.91 | 100 | 0.1308 |
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+ | 0.131 | 1.0 | 110 | 0.1317 |
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+ | 0.123 | 1.09 | 120 | 0.1265 |
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+ | 0.1161 | 1.18 | 130 | 0.1272 |
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+ | 0.1188 | 1.27 | 140 | 0.1170 |
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+ | 0.1197 | 1.36 | 150 | 0.1149 |
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+ | 0.1139 | 1.45 | 160 | 0.1146 |
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+ | 0.1122 | 1.54 | 170 | 0.1117 |
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+ | 0.1093 | 1.63 | 180 | 0.1098 |
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+ | 0.1093 | 1.72 | 190 | 0.1085 |
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+ | 0.1096 | 1.81 | 200 | 0.1068 |
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+ | 0.1086 | 1.9 | 210 | 0.1064 |
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+ | 0.107 | 1.99 | 220 | 0.1065 |
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+ | 0.0961 | 2.08 | 230 | 0.1069 |
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+ | 0.0946 | 2.18 | 240 | 0.1061 |
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+ | 0.0883 | 2.27 | 250 | 0.1048 |
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+ | 0.0933 | 2.36 | 260 | 0.1039 |
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+ | 0.0904 | 2.45 | 270 | 0.1058 |
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+ | 0.0862 | 2.54 | 280 | 0.1057 |
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+ | 0.0818 | 2.63 | 290 | 0.1047 |
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+ | 0.0852 | 2.72 | 300 | 0.1046 |
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+ | 0.0895 | 2.81 | 310 | 0.1048 |
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+ | 0.0914 | 2.9 | 320 | 0.1044 |
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+ | 0.0909 | 2.99 | 330 | 0.1033 |
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  ### Framework versions
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