Model save
Browse files
README.md
CHANGED
|
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [google/codegemma-7b](https://huggingface.co/google/codegemma-7b) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
-
- Loss: 0.
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
@@ -47,127 +47,239 @@ The following hyperparameters were used during training:
|
|
| 47 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
- lr_scheduler_type: cosine
|
| 49 |
- lr_scheduler_warmup_ratio: 0.03
|
| 50 |
-
- num_epochs:
|
| 51 |
- mixed_precision_training: Native AMP
|
| 52 |
|
| 53 |
### Training results
|
| 54 |
|
| 55 |
-
| Training Loss | Epoch
|
| 56 |
-
|
| 57 |
-
| 0.7003 | 0.0530
|
| 58 |
-
| 0.5467 | 0.1061
|
| 59 |
-
| 0.4662 | 0.1591
|
| 60 |
-
| 0.3608 | 0.2121
|
| 61 |
-
| 0.3032 | 0.2652
|
| 62 |
-
| 0.2313 | 0.3182
|
| 63 |
-
| 0.1953 | 0.3713
|
| 64 |
-
| 0.1701 | 0.4243
|
| 65 |
-
| 0.1593 | 0.4773
|
| 66 |
-
| 0.1491 | 0.5304
|
| 67 |
-
| 0.1668 | 0.5834
|
| 68 |
-
| 0.1433 | 0.6364
|
| 69 |
-
| 0.1457 | 0.6895
|
| 70 |
-
| 0.1476 | 0.7425
|
| 71 |
-
| 0.139 | 0.7955
|
| 72 |
-
| 0.1209 | 0.8486
|
| 73 |
-
| 0.1365 | 0.9016
|
| 74 |
-
| 0.1239 | 0.9547
|
| 75 |
-
| 0.116 | 1.0077
|
| 76 |
-
| 0.1145 | 1.0607
|
| 77 |
-
| 0.1187 | 1.1146
|
| 78 |
-
| 0.117 | 1.1676
|
| 79 |
-
| 0.1219 | 1.2206
|
| 80 |
-
| 0.1192 | 1.2737
|
| 81 |
-
| 0.1296 | 1.3267
|
| 82 |
-
| 0.1016 | 1.3797
|
| 83 |
-
| 0.1051 | 1.4328
|
| 84 |
-
| 0.1207 | 1.4858
|
| 85 |
-
| 0.1132 | 1.5388
|
| 86 |
-
| 0.1143 | 1.5919
|
| 87 |
-
| 0.1089 | 1.6449
|
| 88 |
-
| 0.1164 | 1.6980
|
| 89 |
-
| 0.1092 | 1.7510
|
| 90 |
-
| 0.1056 | 1.8040
|
| 91 |
-
| 0.1072 | 1.8571
|
| 92 |
-
| 0.1029 | 1.9101
|
| 93 |
-
| 0.1117 | 1.9631
|
| 94 |
-
| 0.1126 | 2.0162
|
| 95 |
-
| 0.104 | 2.0700
|
| 96 |
-
| 0.1094 | 2.1230
|
| 97 |
-
| 0.1044 | 2.1761
|
| 98 |
-
| 0.0981 | 2.2291
|
| 99 |
-
| 0.1031 | 2.2822
|
| 100 |
-
| 0.0933 | 2.3352
|
| 101 |
-
| 0.1085 | 2.3882
|
| 102 |
-
| 0.1106 | 2.4413
|
| 103 |
-
| 0.0988 | 2.4943
|
| 104 |
-
| 0.0909 | 2.5473
|
| 105 |
-
| 0.1025 | 2.6004
|
| 106 |
-
| 0.1016 | 2.6534
|
| 107 |
-
| 0.0927 | 2.7064
|
| 108 |
-
| 0.0942 | 2.7595
|
| 109 |
-
| 0.0888 | 2.8125
|
| 110 |
-
| 0.091 | 2.8656
|
| 111 |
-
| 0.0922 | 2.9186
|
| 112 |
-
| 0.0949 | 2.9716
|
| 113 |
-
| 0.0855 | 3.0247
|
| 114 |
-
| 0.0955 | 3.0777
|
| 115 |
-
| 0.0831 | 3.1307
|
| 116 |
-
| 0.0843 | 3.1838
|
| 117 |
-
| 0.0756 | 3.2368
|
| 118 |
-
| 0.0893 | 3.2898
|
| 119 |
-
| 0.0787 | 3.3429
|
| 120 |
-
| 0.0842 | 3.3959
|
| 121 |
-
| 0.079 | 3.4490
|
| 122 |
-
| 0.0797 | 3.5020
|
| 123 |
-
| 0.0774 | 3.5550
|
| 124 |
-
| 0.0751 | 3.6081
|
| 125 |
-
| 0.079 | 3.6611
|
| 126 |
-
| 0.0849 | 3.7141
|
| 127 |
-
| 0.0852 | 3.7672
|
| 128 |
-
| 0.0742 | 3.8202
|
| 129 |
-
| 0.0719 | 3.8732
|
| 130 |
-
| 0.07 | 3.9263
|
| 131 |
-
| 0.0778 | 3.9793
|
| 132 |
-
| 0.0792 | 4.0324
|
| 133 |
-
| 0.0705 | 4.0854
|
| 134 |
-
| 0.0679 | 4.1384
|
| 135 |
-
| 0.0619 | 4.1915
|
| 136 |
-
| 0.0689 | 4.2445
|
| 137 |
-
| 0.0653 | 4.2975
|
| 138 |
-
| 0.0678 | 4.3506
|
| 139 |
-
| 0.07 | 4.4036
|
| 140 |
-
| 0.0656 | 4.4566
|
| 141 |
-
| 0.062 | 4.5097
|
| 142 |
-
| 0.0676 | 4.5627
|
| 143 |
-
| 0.0668 | 4.6158
|
| 144 |
-
| 0.0701 | 4.6688
|
| 145 |
-
| 0.067 | 4.7218
|
| 146 |
-
| 0.0686 | 4.7749
|
| 147 |
-
| 0.0649 | 4.8279
|
| 148 |
-
| 0.0711 | 4.8809
|
| 149 |
-
| 0.0747 | 4.9340
|
| 150 |
-
| 0.0622 | 4.9870
|
| 151 |
-
| 0.0634 | 5.0400
|
| 152 |
-
| 0.0714 | 5.0931
|
| 153 |
-
| 0.0615 | 5.1461
|
| 154 |
-
| 0.0612 | 5.1992
|
| 155 |
-
| 0.0599 | 5.2522
|
| 156 |
-
| 0.0567 | 5.3052
|
| 157 |
-
| 0.0593 | 5.3583
|
| 158 |
-
| 0.0576 | 5.4113
|
| 159 |
-
| 0.0628 | 5.4643
|
| 160 |
-
| 0.0572 | 5.5174
|
| 161 |
-
| 0.06 | 5.5704
|
| 162 |
-
| 0.0568 | 5.6234
|
| 163 |
-
| 0.058 | 5.6765
|
| 164 |
-
| 0.0559 | 5.7295
|
| 165 |
-
| 0.0549 | 5.7826
|
| 166 |
-
| 0.0605 | 5.8356
|
| 167 |
-
| 0.0539 | 5.8886
|
| 168 |
-
| 0.0567 | 5.9417
|
| 169 |
-
| 0.
|
| 170 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 171 |
|
| 172 |
|
| 173 |
### Framework versions
|
|
|
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [google/codegemma-7b](https://huggingface.co/google/codegemma-7b) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0475
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 47 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
- lr_scheduler_type: cosine
|
| 49 |
- lr_scheduler_warmup_ratio: 0.03
|
| 50 |
+
- num_epochs: 12
|
| 51 |
- mixed_precision_training: Native AMP
|
| 52 |
|
| 53 |
### Training results
|
| 54 |
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 56 |
+
|:-------------:|:-------:|:-----:|:---------------:|
|
| 57 |
+
| 0.7003 | 0.0530 | 50 | 0.6702 |
|
| 58 |
+
| 0.5467 | 0.1061 | 100 | 0.5399 |
|
| 59 |
+
| 0.4662 | 0.1591 | 150 | 0.4138 |
|
| 60 |
+
| 0.3608 | 0.2121 | 200 | 0.3042 |
|
| 61 |
+
| 0.3032 | 0.2652 | 250 | 0.2450 |
|
| 62 |
+
| 0.2313 | 0.3182 | 300 | 0.2067 |
|
| 63 |
+
| 0.1953 | 0.3713 | 350 | 0.1729 |
|
| 64 |
+
| 0.1701 | 0.4243 | 400 | 0.1495 |
|
| 65 |
+
| 0.1593 | 0.4773 | 450 | 0.1382 |
|
| 66 |
+
| 0.1491 | 0.5304 | 500 | 0.1334 |
|
| 67 |
+
| 0.1668 | 0.5834 | 550 | 0.1282 |
|
| 68 |
+
| 0.1433 | 0.6364 | 600 | 0.1259 |
|
| 69 |
+
| 0.1457 | 0.6895 | 650 | 0.1241 |
|
| 70 |
+
| 0.1476 | 0.7425 | 700 | 0.1215 |
|
| 71 |
+
| 0.139 | 0.7955 | 750 | 0.1176 |
|
| 72 |
+
| 0.1209 | 0.8486 | 800 | 0.1159 |
|
| 73 |
+
| 0.1365 | 0.9016 | 850 | 0.1148 |
|
| 74 |
+
| 0.1239 | 0.9547 | 900 | 0.1157 |
|
| 75 |
+
| 0.116 | 1.0077 | 950 | 0.1097 |
|
| 76 |
+
| 0.1145 | 1.0607 | 1000 | 0.1104 |
|
| 77 |
+
| 0.1187 | 1.1146 | 1050 | 0.1067 |
|
| 78 |
+
| 0.117 | 1.1676 | 1100 | 0.1069 |
|
| 79 |
+
| 0.1219 | 1.2206 | 1150 | 0.1059 |
|
| 80 |
+
| 0.1192 | 1.2737 | 1200 | 0.1052 |
|
| 81 |
+
| 0.1296 | 1.3267 | 1250 | 0.1023 |
|
| 82 |
+
| 0.1016 | 1.3797 | 1300 | 0.1016 |
|
| 83 |
+
| 0.1051 | 1.4328 | 1350 | 0.1011 |
|
| 84 |
+
| 0.1207 | 1.4858 | 1400 | 0.1016 |
|
| 85 |
+
| 0.1132 | 1.5388 | 1450 | 0.1031 |
|
| 86 |
+
| 0.1143 | 1.5919 | 1500 | 0.0997 |
|
| 87 |
+
| 0.1089 | 1.6449 | 1550 | 0.0988 |
|
| 88 |
+
| 0.1164 | 1.6980 | 1600 | 0.0966 |
|
| 89 |
+
| 0.1092 | 1.7510 | 1650 | 0.0961 |
|
| 90 |
+
| 0.1056 | 1.8040 | 1700 | 0.0957 |
|
| 91 |
+
| 0.1072 | 1.8571 | 1750 | 0.0948 |
|
| 92 |
+
| 0.1029 | 1.9101 | 1800 | 0.0942 |
|
| 93 |
+
| 0.1117 | 1.9631 | 1850 | 0.0931 |
|
| 94 |
+
| 0.1126 | 2.0162 | 1900 | 0.0931 |
|
| 95 |
+
| 0.104 | 2.0700 | 1950 | 0.0944 |
|
| 96 |
+
| 0.1094 | 2.1230 | 2000 | 0.0925 |
|
| 97 |
+
| 0.1044 | 2.1761 | 2050 | 0.0944 |
|
| 98 |
+
| 0.0981 | 2.2291 | 2100 | 0.0926 |
|
| 99 |
+
| 0.1031 | 2.2822 | 2150 | 0.0915 |
|
| 100 |
+
| 0.0933 | 2.3352 | 2200 | 0.0919 |
|
| 101 |
+
| 0.1085 | 2.3882 | 2250 | 0.0917 |
|
| 102 |
+
| 0.1106 | 2.4413 | 2300 | 0.0905 |
|
| 103 |
+
| 0.0988 | 2.4943 | 2350 | 0.0897 |
|
| 104 |
+
| 0.0909 | 2.5473 | 2400 | 0.0883 |
|
| 105 |
+
| 0.1025 | 2.6004 | 2450 | 0.0874 |
|
| 106 |
+
| 0.1016 | 2.6534 | 2500 | 0.0873 |
|
| 107 |
+
| 0.0927 | 2.7064 | 2550 | 0.0860 |
|
| 108 |
+
| 0.0942 | 2.7595 | 2600 | 0.0854 |
|
| 109 |
+
| 0.0888 | 2.8125 | 2650 | 0.0859 |
|
| 110 |
+
| 0.091 | 2.8656 | 2700 | 0.0851 |
|
| 111 |
+
| 0.0922 | 2.9186 | 2750 | 0.0855 |
|
| 112 |
+
| 0.0949 | 2.9716 | 2800 | 0.0839 |
|
| 113 |
+
| 0.0855 | 3.0247 | 2850 | 0.0841 |
|
| 114 |
+
| 0.0955 | 3.0777 | 2900 | 0.0831 |
|
| 115 |
+
| 0.0831 | 3.1307 | 2950 | 0.0817 |
|
| 116 |
+
| 0.0843 | 3.1838 | 3000 | 0.0814 |
|
| 117 |
+
| 0.0756 | 3.2368 | 3050 | 0.0812 |
|
| 118 |
+
| 0.0893 | 3.2898 | 3100 | 0.0806 |
|
| 119 |
+
| 0.0787 | 3.3429 | 3150 | 0.0827 |
|
| 120 |
+
| 0.0842 | 3.3959 | 3200 | 0.0790 |
|
| 121 |
+
| 0.079 | 3.4490 | 3250 | 0.0791 |
|
| 122 |
+
| 0.0797 | 3.5020 | 3300 | 0.0773 |
|
| 123 |
+
| 0.0774 | 3.5550 | 3350 | 0.0777 |
|
| 124 |
+
| 0.0751 | 3.6081 | 3400 | 0.0779 |
|
| 125 |
+
| 0.079 | 3.6611 | 3450 | 0.0781 |
|
| 126 |
+
| 0.0849 | 3.7141 | 3500 | 0.0762 |
|
| 127 |
+
| 0.0852 | 3.7672 | 3550 | 0.0759 |
|
| 128 |
+
| 0.0742 | 3.8202 | 3600 | 0.0770 |
|
| 129 |
+
| 0.0719 | 3.8732 | 3650 | 0.0755 |
|
| 130 |
+
| 0.07 | 3.9263 | 3700 | 0.0757 |
|
| 131 |
+
| 0.0778 | 3.9793 | 3750 | 0.0759 |
|
| 132 |
+
| 0.0792 | 4.0324 | 3800 | 0.0751 |
|
| 133 |
+
| 0.0705 | 4.0854 | 3850 | 0.0745 |
|
| 134 |
+
| 0.0679 | 4.1384 | 3900 | 0.0741 |
|
| 135 |
+
| 0.0619 | 4.1915 | 3950 | 0.0734 |
|
| 136 |
+
| 0.0689 | 4.2445 | 4000 | 0.0731 |
|
| 137 |
+
| 0.0653 | 4.2975 | 4050 | 0.0732 |
|
| 138 |
+
| 0.0678 | 4.3506 | 4100 | 0.0733 |
|
| 139 |
+
| 0.07 | 4.4036 | 4150 | 0.0719 |
|
| 140 |
+
| 0.0656 | 4.4566 | 4200 | 0.0739 |
|
| 141 |
+
| 0.062 | 4.5097 | 4250 | 0.0732 |
|
| 142 |
+
| 0.0676 | 4.5627 | 4300 | 0.0718 |
|
| 143 |
+
| 0.0668 | 4.6158 | 4350 | 0.0722 |
|
| 144 |
+
| 0.0701 | 4.6688 | 4400 | 0.0718 |
|
| 145 |
+
| 0.067 | 4.7218 | 4450 | 0.0709 |
|
| 146 |
+
| 0.0686 | 4.7749 | 4500 | 0.0722 |
|
| 147 |
+
| 0.0649 | 4.8279 | 4550 | 0.0751 |
|
| 148 |
+
| 0.0711 | 4.8809 | 4600 | 0.0708 |
|
| 149 |
+
| 0.0747 | 4.9340 | 4650 | 0.0711 |
|
| 150 |
+
| 0.0622 | 4.9870 | 4700 | 0.0700 |
|
| 151 |
+
| 0.0634 | 5.0400 | 4750 | 0.0695 |
|
| 152 |
+
| 0.0714 | 5.0931 | 4800 | 0.0756 |
|
| 153 |
+
| 0.0615 | 5.1461 | 4850 | 0.0732 |
|
| 154 |
+
| 0.0612 | 5.1992 | 4900 | 0.0704 |
|
| 155 |
+
| 0.0599 | 5.2522 | 4950 | 0.0686 |
|
| 156 |
+
| 0.0567 | 5.3052 | 5000 | 0.0679 |
|
| 157 |
+
| 0.0593 | 5.3583 | 5050 | 0.0673 |
|
| 158 |
+
| 0.0576 | 5.4113 | 5100 | 0.0675 |
|
| 159 |
+
| 0.0628 | 5.4643 | 5150 | 0.0664 |
|
| 160 |
+
| 0.0572 | 5.5174 | 5200 | 0.0660 |
|
| 161 |
+
| 0.06 | 5.5704 | 5250 | 0.0659 |
|
| 162 |
+
| 0.0568 | 5.6234 | 5300 | 0.0660 |
|
| 163 |
+
| 0.058 | 5.6765 | 5350 | 0.0656 |
|
| 164 |
+
| 0.0559 | 5.7295 | 5400 | 0.0650 |
|
| 165 |
+
| 0.0549 | 5.7826 | 5450 | 0.0652 |
|
| 166 |
+
| 0.0605 | 5.8356 | 5500 | 0.0649 |
|
| 167 |
+
| 0.0539 | 5.8886 | 5550 | 0.0641 |
|
| 168 |
+
| 0.0567 | 5.9417 | 5600 | 0.0637 |
|
| 169 |
+
| 0.0627 | 5.9971 | 5650 | 0.0633 |
|
| 170 |
+
| 0.0576 | 6.0501 | 5700 | 0.0635 |
|
| 171 |
+
| 0.0596 | 6.1032 | 5750 | 0.0654 |
|
| 172 |
+
| 0.0751 | 6.1562 | 5800 | 0.0645 |
|
| 173 |
+
| 0.0675 | 6.2092 | 5850 | 0.0636 |
|
| 174 |
+
| 0.0575 | 6.2623 | 5900 | 0.0626 |
|
| 175 |
+
| 0.0618 | 6.3153 | 5950 | 0.0626 |
|
| 176 |
+
| 0.0641 | 6.3683 | 6000 | 0.0632 |
|
| 177 |
+
| 0.0612 | 6.4214 | 6050 | 0.0616 |
|
| 178 |
+
| 0.0599 | 6.4744 | 6100 | 0.0623 |
|
| 179 |
+
| 0.0598 | 6.5274 | 6150 | 0.0607 |
|
| 180 |
+
| 0.0597 | 6.5805 | 6200 | 0.0607 |
|
| 181 |
+
| 0.0595 | 6.6335 | 6250 | 0.0602 |
|
| 182 |
+
| 0.0612 | 6.6866 | 6300 | 0.0591 |
|
| 183 |
+
| 0.058 | 6.7396 | 6350 | 0.0589 |
|
| 184 |
+
| 0.0584 | 6.7926 | 6400 | 0.0580 |
|
| 185 |
+
| 0.0544 | 6.8457 | 6450 | 0.0580 |
|
| 186 |
+
| 0.0563 | 6.8987 | 6500 | 0.0576 |
|
| 187 |
+
| 0.0569 | 6.9517 | 6550 | 0.0568 |
|
| 188 |
+
| 0.0571 | 7.0048 | 6600 | 0.0572 |
|
| 189 |
+
| 0.0463 | 7.0578 | 6650 | 0.0574 |
|
| 190 |
+
| 0.0461 | 7.1108 | 6700 | 0.0570 |
|
| 191 |
+
| 0.0468 | 7.1639 | 6750 | 0.0568 |
|
| 192 |
+
| 0.051 | 7.2169 | 6800 | 0.0564 |
|
| 193 |
+
| 0.0478 | 7.2700 | 6850 | 0.0561 |
|
| 194 |
+
| 0.0487 | 7.3230 | 6900 | 0.0557 |
|
| 195 |
+
| 0.0542 | 7.3760 | 6950 | 0.0563 |
|
| 196 |
+
| 0.0504 | 7.4291 | 7000 | 0.0560 |
|
| 197 |
+
| 0.046 | 7.4821 | 7050 | 0.0550 |
|
| 198 |
+
| 0.0469 | 7.5351 | 7100 | 0.0554 |
|
| 199 |
+
| 0.0473 | 7.5882 | 7150 | 0.0550 |
|
| 200 |
+
| 0.0451 | 7.6412 | 7200 | 0.0548 |
|
| 201 |
+
| 0.0519 | 7.6942 | 7250 | 0.0546 |
|
| 202 |
+
| 0.0522 | 7.7473 | 7300 | 0.0543 |
|
| 203 |
+
| 0.048 | 7.8003 | 7350 | 0.0546 |
|
| 204 |
+
| 0.0519 | 7.8534 | 7400 | 0.0537 |
|
| 205 |
+
| 0.0439 | 7.9064 | 7450 | 0.0537 |
|
| 206 |
+
| 0.0474 | 7.9594 | 7500 | 0.0531 |
|
| 207 |
+
| 0.0456 | 8.0125 | 7550 | 0.0533 |
|
| 208 |
+
| 0.0439 | 8.0655 | 7600 | 0.0533 |
|
| 209 |
+
| 0.0423 | 8.1185 | 7650 | 0.0535 |
|
| 210 |
+
| 0.0405 | 8.1716 | 7700 | 0.0534 |
|
| 211 |
+
| 0.0444 | 8.2246 | 7750 | 0.0539 |
|
| 212 |
+
| 0.0416 | 8.2776 | 7800 | 0.0533 |
|
| 213 |
+
| 0.0433 | 8.3307 | 7850 | 0.0541 |
|
| 214 |
+
| 0.0466 | 8.3837 | 7900 | 0.0522 |
|
| 215 |
+
| 0.047 | 8.4368 | 7950 | 0.0523 |
|
| 216 |
+
| 0.0455 | 8.4898 | 8000 | 0.0528 |
|
| 217 |
+
| 0.0471 | 8.5428 | 8050 | 0.0517 |
|
| 218 |
+
| 0.042 | 8.5959 | 8100 | 0.0517 |
|
| 219 |
+
| 0.0433 | 8.6489 | 8150 | 0.0520 |
|
| 220 |
+
| 0.0488 | 8.7019 | 8200 | 0.0517 |
|
| 221 |
+
| 0.0432 | 8.7550 | 8250 | 0.0521 |
|
| 222 |
+
| 0.0472 | 8.8080 | 8300 | 0.0514 |
|
| 223 |
+
| 0.042 | 8.8610 | 8350 | 0.0511 |
|
| 224 |
+
| 0.0407 | 8.9141 | 8400 | 0.0505 |
|
| 225 |
+
| 0.0415 | 8.9671 | 8450 | 0.0509 |
|
| 226 |
+
| 0.038 | 9.0202 | 8500 | 0.0520 |
|
| 227 |
+
| 0.0408 | 9.0732 | 8550 | 0.0521 |
|
| 228 |
+
| 0.0367 | 9.1262 | 8600 | 0.0520 |
|
| 229 |
+
| 0.0343 | 9.1793 | 8650 | 0.0507 |
|
| 230 |
+
| 0.0379 | 9.2323 | 8700 | 0.0510 |
|
| 231 |
+
| 0.0589 | 9.2853 | 8750 | 0.0554 |
|
| 232 |
+
| 0.0398 | 9.3384 | 8800 | 0.0518 |
|
| 233 |
+
| 0.04 | 9.3914 | 8850 | 0.0514 |
|
| 234 |
+
| 0.0375 | 9.4444 | 8900 | 0.0521 |
|
| 235 |
+
| 0.04 | 9.4975 | 8950 | 0.0503 |
|
| 236 |
+
| 0.0381 | 9.5505 | 9000 | 0.0502 |
|
| 237 |
+
| 0.0386 | 9.6036 | 9050 | 0.0495 |
|
| 238 |
+
| 0.05 | 9.6566 | 9100 | 0.0519 |
|
| 239 |
+
| 0.0389 | 9.7096 | 9150 | 0.0501 |
|
| 240 |
+
| 0.0415 | 9.7627 | 9200 | 0.0499 |
|
| 241 |
+
| 0.038 | 9.8157 | 9250 | 0.0503 |
|
| 242 |
+
| 0.0433 | 9.8687 | 9300 | 0.0498 |
|
| 243 |
+
| 0.036 | 9.9218 | 9350 | 0.0496 |
|
| 244 |
+
| 0.0377 | 9.9748 | 9400 | 0.0488 |
|
| 245 |
+
| 0.038 | 10.0278 | 9450 | 0.0495 |
|
| 246 |
+
| 0.0384 | 10.0809 | 9500 | 0.0501 |
|
| 247 |
+
| 0.035 | 10.1339 | 9550 | 0.0488 |
|
| 248 |
+
| 0.0344 | 10.1870 | 9600 | 0.0484 |
|
| 249 |
+
| 0.0356 | 10.2400 | 9650 | 0.0486 |
|
| 250 |
+
| 0.0341 | 10.2930 | 9700 | 0.0501 |
|
| 251 |
+
| 0.0333 | 10.3461 | 9750 | 0.0495 |
|
| 252 |
+
| 0.0328 | 10.3991 | 9800 | 0.0496 |
|
| 253 |
+
| 0.0337 | 10.4521 | 9850 | 0.0482 |
|
| 254 |
+
| 0.0347 | 10.5052 | 9900 | 0.0489 |
|
| 255 |
+
| 0.0318 | 10.5582 | 9950 | 0.0489 |
|
| 256 |
+
| 0.0307 | 10.6112 | 10000 | 0.0481 |
|
| 257 |
+
| 0.0344 | 10.6643 | 10050 | 0.0482 |
|
| 258 |
+
| 0.0359 | 10.7173 | 10100 | 0.0490 |
|
| 259 |
+
| 0.0325 | 10.7704 | 10150 | 0.0482 |
|
| 260 |
+
| 0.0355 | 10.8234 | 10200 | 0.0495 |
|
| 261 |
+
| 0.0361 | 10.8764 | 10250 | 0.0494 |
|
| 262 |
+
| 0.0368 | 10.9295 | 10300 | 0.0486 |
|
| 263 |
+
| 0.0378 | 10.9825 | 10350 | 0.0475 |
|
| 264 |
+
| 0.0313 | 11.0355 | 10400 | 0.0475 |
|
| 265 |
+
| 0.037 | 11.0886 | 10450 | 0.0473 |
|
| 266 |
+
| 0.0377 | 11.1416 | 10500 | 0.0486 |
|
| 267 |
+
| 0.0282 | 11.1946 | 10550 | 0.0479 |
|
| 268 |
+
| 0.032 | 11.2477 | 10600 | 0.0498 |
|
| 269 |
+
| 0.0387 | 11.3007 | 10650 | 0.0501 |
|
| 270 |
+
| 0.0389 | 11.3538 | 10700 | 0.0486 |
|
| 271 |
+
| 0.0333 | 11.4068 | 10750 | 0.0495 |
|
| 272 |
+
| 0.032 | 11.4598 | 10800 | 0.0469 |
|
| 273 |
+
| 0.0305 | 11.5129 | 10850 | 0.0479 |
|
| 274 |
+
| 0.0362 | 11.5659 | 10900 | 0.0470 |
|
| 275 |
+
| 0.0316 | 11.6189 | 10950 | 0.0487 |
|
| 276 |
+
| 0.0337 | 11.6720 | 11000 | 0.0484 |
|
| 277 |
+
| 0.0386 | 11.7250 | 11050 | 0.0479 |
|
| 278 |
+
| 0.0313 | 11.7780 | 11100 | 0.0475 |
|
| 279 |
+
| 0.0313 | 11.8311 | 11150 | 0.0466 |
|
| 280 |
+
| 0.031 | 11.8841 | 11200 | 0.0474 |
|
| 281 |
+
| 0.0318 | 11.9372 | 11250 | 0.0464 |
|
| 282 |
+
| 0.0339 | 11.9902 | 11300 | 0.0475 |
|
| 283 |
|
| 284 |
|
| 285 |
### Framework versions
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1600180696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91da1bbf2712b34993b621e8ecb3c64b71d3cb428874ca48b790c1c5bdb9192d
|
| 3 |
size 1600180696
|
runs/Sep16_02-06-28_m3h110/events.out.tfevents.1757952959.m3h110.3032645.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:053f93f848f597fd54d6890f523952b27fb5b5d21ec5366aebc2441f7a6fea61
|
| 3 |
+
size 156911
|