Model save
Browse files- README.md +161 -160
- config.json +1 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -1,5 +1,6 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
|
@@ -14,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# reverse_add_replicate_eval17_corruptedfull
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 0.
|
| 20 |
-
- Accuracy: 0.
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
@@ -49,163 +50,163 @@ The following hyperparameters were used during training:
|
|
| 49 |
|
| 50 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
|
| 52 |
-
| No log | 0 | 0 |
|
| 53 |
-
|
|
| 54 |
-
|
|
| 55 |
-
|
|
| 56 |
-
|
|
| 57 |
-
|
|
| 58 |
-
|
|
| 59 |
-
|
|
| 60 |
-
|
|
| 61 |
-
|
|
| 62 |
-
|
|
| 63 |
-
|
|
| 64 |
-
|
|
| 65 |
-
|
|
| 66 |
-
|
|
| 67 |
-
|
|
| 68 |
-
|
|
| 69 |
-
|
|
| 70 |
-
|
|
| 71 |
-
|
|
| 72 |
-
|
|
| 73 |
-
|
|
| 74 |
-
|
|
| 75 |
-
|
|
| 76 |
-
|
|
| 77 |
-
|
|
| 78 |
-
|
|
| 79 |
-
|
|
| 80 |
-
|
|
| 81 |
-
|
|
| 82 |
-
|
|
| 83 |
-
|
|
| 84 |
-
|
|
| 85 |
-
| 0.
|
| 86 |
-
|
|
| 87 |
-
|
|
| 88 |
-
|
|
| 89 |
-
|
|
| 90 |
-
|
|
| 91 |
-
| 0.
|
| 92 |
-
| 0.
|
| 93 |
-
| 0.
|
| 94 |
-
| 0.
|
| 95 |
-
| 0.
|
| 96 |
-
| 0.
|
| 97 |
-
| 0.
|
| 98 |
-
| 0.
|
| 99 |
-
| 0.
|
| 100 |
-
| 0.
|
| 101 |
-
| 0.
|
| 102 |
-
| 0.
|
| 103 |
-
| 0.
|
| 104 |
-
| 0.
|
| 105 |
-
| 0.
|
| 106 |
-
| 0.
|
| 107 |
-
| 0.
|
| 108 |
-
| 0.
|
| 109 |
-
| 0.
|
| 110 |
-
| 0.
|
| 111 |
-
| 0.
|
| 112 |
-
| 0.
|
| 113 |
-
| 0.
|
| 114 |
-
| 0.
|
| 115 |
-
| 0.
|
| 116 |
-
| 0.
|
| 117 |
-
| 0.
|
| 118 |
-
| 0.
|
| 119 |
-
| 0.
|
| 120 |
-
| 0.
|
| 121 |
-
| 0.
|
| 122 |
-
| 0.
|
| 123 |
-
| 0.
|
| 124 |
-
| 0.
|
| 125 |
-
| 0.
|
| 126 |
-
| 0.
|
| 127 |
-
| 0.
|
| 128 |
-
| 0.
|
| 129 |
-
| 0.
|
| 130 |
-
| 0.
|
| 131 |
-
| 0.
|
| 132 |
-
| 0.
|
| 133 |
-
| 0.
|
| 134 |
-
| 0.
|
| 135 |
-
| 0.
|
| 136 |
-
| 0.
|
| 137 |
-
| 0.
|
| 138 |
-
| 0.
|
| 139 |
-
| 0.
|
| 140 |
-
| 0.
|
| 141 |
-
| 0.
|
| 142 |
-
| 0.
|
| 143 |
-
| 0.
|
| 144 |
-
| 0.
|
| 145 |
-
| 0.
|
| 146 |
-
| 0.
|
| 147 |
-
| 0.
|
| 148 |
-
| 0.
|
| 149 |
-
| 0.
|
| 150 |
-
| 0.
|
| 151 |
-
| 0.
|
| 152 |
-
| 0.
|
| 153 |
-
| 0.
|
| 154 |
-
| 0.
|
| 155 |
-
| 0.
|
| 156 |
-
| 0.
|
| 157 |
-
| 0.
|
| 158 |
-
| 0.
|
| 159 |
-
| 0.
|
| 160 |
-
| 0.
|
| 161 |
-
| 0.
|
| 162 |
-
| 0.
|
| 163 |
-
| 0.
|
| 164 |
-
| 0.
|
| 165 |
-
| 0.
|
| 166 |
-
| 0.
|
| 167 |
-
| 0.
|
| 168 |
-
| 0.
|
| 169 |
-
| 0.
|
| 170 |
-
| 0.
|
| 171 |
-
| 0.
|
| 172 |
-
| 0.
|
| 173 |
-
| 0.
|
| 174 |
-
| 0.
|
| 175 |
-
| 0.0 | 0.7872 | 12300 | 0.
|
| 176 |
-
| 0.
|
| 177 |
-
| 0.
|
| 178 |
-
| 0.0 | 0.8064 | 12600 | 0.
|
| 179 |
-
| 0.
|
| 180 |
-
| 0.
|
| 181 |
-
| 0.0 | 0.8256 | 12900 | 0.
|
| 182 |
-
| 0.0 | 0.832 | 13000 | 0.
|
| 183 |
-
| 0.0 | 0.8384 | 13100 | 0.
|
| 184 |
-
| 0.0 | 0.8448 | 13200 | 0.
|
| 185 |
-
| 0.0 | 0.8512 | 13300 | 0.
|
| 186 |
-
| 0.0 | 0.8576 | 13400 | 0.
|
| 187 |
-
| 0.
|
| 188 |
-
| 0.0 | 0.8704 | 13600 | 0.
|
| 189 |
-
| 0.0 | 0.8768 | 13700 | 0.
|
| 190 |
-
| 0.0 | 0.8832 | 13800 | 0.
|
| 191 |
-
| 0.0 | 0.8896 | 13900 | 0.
|
| 192 |
-
| 0.0 | 0.896 | 14000 | 0.
|
| 193 |
-
| 0.0 | 0.9024 | 14100 | 0.
|
| 194 |
-
| 0.0 | 0.9088 | 14200 | 0.
|
| 195 |
-
| 0.0 | 0.9152 | 14300 | 0.
|
| 196 |
-
| 0.0 | 0.9216 | 14400 | 0.
|
| 197 |
-
| 0.0 | 0.928 | 14500 | 0.
|
| 198 |
-
| 0.0 | 0.9344 | 14600 | 0.
|
| 199 |
-
| 0.0 | 0.9408 | 14700 | 0.
|
| 200 |
-
| 0.0 | 0.9472 | 14800 | 0.
|
| 201 |
-
| 0.0 | 0.9536 | 14900 | 0.
|
| 202 |
-
| 0.0 | 0.96 | 15000 | 0.
|
| 203 |
-
| 0.0 | 0.9664 | 15100 | 0.
|
| 204 |
-
| 0.
|
| 205 |
-
| 0.0 | 0.9792 | 15300 | 0.
|
| 206 |
-
| 0.0 | 0.9856 | 15400 | 0.
|
| 207 |
-
| 0.0 | 0.992 | 15500 | 0.
|
| 208 |
-
| 0.0 | 0.9984 | 15600 | 0.
|
| 209 |
|
| 210 |
|
| 211 |
### Framework versions
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
+
base_model: mtzig/reverse_add_replicate_eval17_corruptedfull
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
metrics:
|
|
|
|
| 15 |
|
| 16 |
# reverse_add_replicate_eval17_corruptedfull
|
| 17 |
|
| 18 |
+
This model is a fine-tuned version of [mtzig/reverse_add_replicate_eval17_corruptedfull](https://huggingface.co/mtzig/reverse_add_replicate_eval17_corruptedfull) on an unknown dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.0001
|
| 21 |
+
- Accuracy: 0.999
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 50 |
|
| 51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 52 |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
|
| 53 |
+
| No log | 0 | 0 | 0.5300 | 0.0 |
|
| 54 |
+
| 0.0 | 0.0064 | 100 | 0.0606 | 0.611 |
|
| 55 |
+
| 0.0004 | 0.0128 | 200 | 0.1205 | 0.524 |
|
| 56 |
+
| 0.0022 | 0.0192 | 300 | 0.0363 | 0.807 |
|
| 57 |
+
| 0.017 | 0.0256 | 400 | 0.0068 | 0.967 |
|
| 58 |
+
| 0.0207 | 0.032 | 500 | 0.0137 | 0.94 |
|
| 59 |
+
| 0.0673 | 0.0384 | 600 | 0.1015 | 0.698 |
|
| 60 |
+
| 0.0152 | 0.0448 | 700 | 0.0296 | 0.861 |
|
| 61 |
+
| 0.0094 | 0.0512 | 800 | 0.1813 | 0.442 |
|
| 62 |
+
| 0.0363 | 0.0576 | 900 | 0.1089 | 0.641 |
|
| 63 |
+
| 0.0214 | 0.064 | 1000 | 0.1929 | 0.482 |
|
| 64 |
+
| 0.0731 | 0.0704 | 1100 | 0.0817 | 0.726 |
|
| 65 |
+
| 0.16 | 0.0768 | 1200 | 0.3241 | 0.266 |
|
| 66 |
+
| 0.0086 | 0.0832 | 1300 | 0.0542 | 0.797 |
|
| 67 |
+
| 0.0064 | 0.0896 | 1400 | 0.0304 | 0.887 |
|
| 68 |
+
| 0.8944 | 0.096 | 1500 | 0.7904 | 0.175 |
|
| 69 |
+
| 0.1341 | 0.1024 | 1600 | 0.9554 | 0.304 |
|
| 70 |
+
| 2.3124 | 0.1088 | 1700 | 2.1227 | 0.002 |
|
| 71 |
+
| 0.0894 | 0.1152 | 1800 | 0.4001 | 0.315 |
|
| 72 |
+
| 0.0233 | 0.1216 | 1900 | 0.0531 | 0.772 |
|
| 73 |
+
| 0.137 | 0.128 | 2000 | 0.4018 | 0.253 |
|
| 74 |
+
| 0.0328 | 0.1344 | 2100 | 0.1418 | 0.476 |
|
| 75 |
+
| 0.0368 | 0.1408 | 2200 | 0.1911 | 0.524 |
|
| 76 |
+
| 0.3687 | 0.1472 | 2300 | 0.4512 | 0.258 |
|
| 77 |
+
| 0.0715 | 0.1536 | 2400 | 0.0745 | 0.757 |
|
| 78 |
+
| 0.0893 | 0.16 | 2500 | 0.5588 | 0.355 |
|
| 79 |
+
| 0.0093 | 0.1664 | 2600 | 0.0366 | 0.867 |
|
| 80 |
+
| 0.0854 | 0.1728 | 2700 | 0.0645 | 0.764 |
|
| 81 |
+
| 0.0019 | 0.1792 | 2800 | 0.1039 | 0.721 |
|
| 82 |
+
| 0.0143 | 0.1856 | 2900 | 0.0732 | 0.768 |
|
| 83 |
+
| 0.0019 | 0.192 | 3000 | 0.0486 | 0.75 |
|
| 84 |
+
| 0.062 | 0.1984 | 3100 | 0.0598 | 0.775 |
|
| 85 |
+
| 0.034 | 0.2048 | 3200 | 0.0564 | 0.769 |
|
| 86 |
+
| 0.0059 | 0.2112 | 3300 | 0.0615 | 0.793 |
|
| 87 |
+
| 0.0842 | 0.2176 | 3400 | 0.2345 | 0.491 |
|
| 88 |
+
| 0.0288 | 0.224 | 3500 | 0.0163 | 0.92 |
|
| 89 |
+
| 0.0017 | 0.2304 | 3600 | 0.0107 | 0.964 |
|
| 90 |
+
| 0.0098 | 0.2368 | 3700 | 0.0104 | 0.957 |
|
| 91 |
+
| 0.0013 | 0.2432 | 3800 | 0.0176 | 0.915 |
|
| 92 |
+
| 0.0036 | 0.2496 | 3900 | 0.0867 | 0.789 |
|
| 93 |
+
| 0.0609 | 0.256 | 4000 | 0.1206 | 0.672 |
|
| 94 |
+
| 0.004 | 0.2624 | 4100 | 0.1023 | 0.712 |
|
| 95 |
+
| 0.1293 | 0.2688 | 4200 | 0.5344 | 0.456 |
|
| 96 |
+
| 0.0433 | 0.2752 | 4300 | 0.0458 | 0.834 |
|
| 97 |
+
| 0.0042 | 0.2816 | 4400 | 0.0221 | 0.913 |
|
| 98 |
+
| 0.0171 | 0.288 | 4500 | 0.0827 | 0.709 |
|
| 99 |
+
| 0.0226 | 0.2944 | 4600 | 0.4539 | 0.271 |
|
| 100 |
+
| 0.0017 | 0.3008 | 4700 | 0.0143 | 0.938 |
|
| 101 |
+
| 0.0007 | 0.3072 | 4800 | 0.0149 | 0.94 |
|
| 102 |
+
| 0.0003 | 0.3136 | 4900 | 0.0022 | 0.994 |
|
| 103 |
+
| 0.0109 | 0.32 | 5000 | 0.0412 | 0.843 |
|
| 104 |
+
| 0.0036 | 0.3264 | 5100 | 0.0386 | 0.847 |
|
| 105 |
+
| 0.014 | 0.3328 | 5200 | 0.0168 | 0.909 |
|
| 106 |
+
| 0.0021 | 0.3392 | 5300 | 0.2362 | 0.616 |
|
| 107 |
+
| 0.0221 | 0.3456 | 5400 | 0.0123 | 0.948 |
|
| 108 |
+
| 0.0271 | 0.352 | 5500 | 0.0997 | 0.732 |
|
| 109 |
+
| 0.0002 | 0.3584 | 5600 | 0.0598 | 0.801 |
|
| 110 |
+
| 0.0302 | 0.3648 | 5700 | 1.1304 | 0.282 |
|
| 111 |
+
| 0.0044 | 0.3712 | 5800 | 0.1238 | 0.702 |
|
| 112 |
+
| 0.0006 | 0.3776 | 5900 | 0.1477 | 0.674 |
|
| 113 |
+
| 0.0039 | 0.384 | 6000 | 0.0153 | 0.928 |
|
| 114 |
+
| 0.0001 | 0.3904 | 6100 | 0.0137 | 0.943 |
|
| 115 |
+
| 0.0523 | 0.3968 | 6200 | 0.1729 | 0.675 |
|
| 116 |
+
| 0.0022 | 0.4032 | 6300 | 0.1563 | 0.626 |
|
| 117 |
+
| 0.0008 | 0.4096 | 6400 | 0.6156 | 0.458 |
|
| 118 |
+
| 0.0003 | 0.416 | 6500 | 0.0078 | 0.973 |
|
| 119 |
+
| 0.0089 | 0.4224 | 6600 | 0.0030 | 0.986 |
|
| 120 |
+
| 0.1903 | 0.4288 | 6700 | 0.5253 | 0.438 |
|
| 121 |
+
| 0.0006 | 0.4352 | 6800 | 0.0017 | 0.995 |
|
| 122 |
+
| 0.0022 | 0.4416 | 6900 | 0.0443 | 0.884 |
|
| 123 |
+
| 0.0 | 0.448 | 7000 | 0.0056 | 0.979 |
|
| 124 |
+
| 0.0 | 0.4544 | 7100 | 0.0015 | 0.994 |
|
| 125 |
+
| 0.0004 | 0.4608 | 7200 | 0.0081 | 0.953 |
|
| 126 |
+
| 0.1095 | 0.4672 | 7300 | 0.2346 | 0.519 |
|
| 127 |
+
| 0.004 | 0.4736 | 7400 | 0.0062 | 0.97 |
|
| 128 |
+
| 0.0021 | 0.48 | 7500 | 0.0128 | 0.942 |
|
| 129 |
+
| 0.0002 | 0.4864 | 7600 | 0.0092 | 0.954 |
|
| 130 |
+
| 0.0005 | 0.4928 | 7700 | 0.0590 | 0.837 |
|
| 131 |
+
| 0.0009 | 0.4992 | 7800 | 0.0009 | 0.998 |
|
| 132 |
+
| 0.0007 | 0.5056 | 7900 | 0.0271 | 0.915 |
|
| 133 |
+
| 0.0017 | 0.512 | 8000 | 0.0130 | 0.936 |
|
| 134 |
+
| 0.0004 | 0.5184 | 8100 | 0.0188 | 0.923 |
|
| 135 |
+
| 0.0 | 0.5248 | 8200 | 0.0008 | 0.998 |
|
| 136 |
+
| 0.0 | 0.5312 | 8300 | 0.0002 | 0.998 |
|
| 137 |
+
| 0.0 | 0.5376 | 8400 | 0.0001 | 0.999 |
|
| 138 |
+
| 0.0 | 0.544 | 8500 | 0.0003 | 0.998 |
|
| 139 |
+
| 0.0021 | 0.5504 | 8600 | 0.1908 | 0.563 |
|
| 140 |
+
| 0.0081 | 0.5568 | 8700 | 0.0226 | 0.909 |
|
| 141 |
+
| 0.0012 | 0.5632 | 8800 | 0.0029 | 0.982 |
|
| 142 |
+
| 0.0006 | 0.5696 | 8900 | 0.0034 | 0.987 |
|
| 143 |
+
| 0.031 | 0.576 | 9000 | 0.0031 | 0.993 |
|
| 144 |
+
| 0.0025 | 0.5824 | 9100 | 0.0056 | 0.974 |
|
| 145 |
+
| 0.0099 | 0.5888 | 9200 | 0.2531 | 0.67 |
|
| 146 |
+
| 0.0002 | 0.5952 | 9300 | 0.0039 | 0.991 |
|
| 147 |
+
| 0.0003 | 0.6016 | 9400 | 0.0010 | 0.997 |
|
| 148 |
+
| 0.0 | 0.608 | 9500 | 0.0001 | 1.0 |
|
| 149 |
+
| 0.0 | 0.6144 | 9600 | 0.0001 | 1.0 |
|
| 150 |
+
| 0.0 | 0.6208 | 9700 | 0.0000 | 1.0 |
|
| 151 |
+
| 0.0 | 0.6272 | 9800 | 0.0000 | 1.0 |
|
| 152 |
+
| 0.0 | 0.6336 | 9900 | 0.0000 | 1.0 |
|
| 153 |
+
| 0.0 | 0.64 | 10000 | 0.0000 | 1.0 |
|
| 154 |
+
| 0.0 | 0.6464 | 10100 | 0.0001 | 1.0 |
|
| 155 |
+
| 0.0 | 0.6528 | 10200 | 0.0000 | 1.0 |
|
| 156 |
+
| 0.0 | 0.6592 | 10300 | 0.0000 | 1.0 |
|
| 157 |
+
| 0.0 | 0.6656 | 10400 | 0.0000 | 1.0 |
|
| 158 |
+
| 0.0 | 0.672 | 10500 | 0.0000 | 1.0 |
|
| 159 |
+
| 0.0 | 0.6784 | 10600 | 0.0000 | 1.0 |
|
| 160 |
+
| 0.0 | 0.6848 | 10700 | 0.0000 | 1.0 |
|
| 161 |
+
| 0.0 | 0.6912 | 10800 | 0.0000 | 1.0 |
|
| 162 |
+
| 0.0011 | 0.6976 | 10900 | 0.0000 | 1.0 |
|
| 163 |
+
| 0.0 | 0.704 | 11000 | 0.0000 | 1.0 |
|
| 164 |
+
| 0.0 | 0.7104 | 11100 | 0.0000 | 1.0 |
|
| 165 |
+
| 0.0 | 0.7168 | 11200 | 0.0000 | 1.0 |
|
| 166 |
+
| 0.0 | 0.7232 | 11300 | 0.0000 | 1.0 |
|
| 167 |
+
| 0.0 | 0.7296 | 11400 | 0.0001 | 1.0 |
|
| 168 |
+
| 0.0001 | 0.736 | 11500 | 0.0152 | 0.928 |
|
| 169 |
+
| 0.0001 | 0.7424 | 11600 | 0.0004 | 0.998 |
|
| 170 |
+
| 0.0008 | 0.7488 | 11700 | 0.0081 | 0.958 |
|
| 171 |
+
| 0.0 | 0.7552 | 11800 | 0.0038 | 0.983 |
|
| 172 |
+
| 0.0 | 0.7616 | 11900 | 0.0005 | 0.998 |
|
| 173 |
+
| 0.0 | 0.768 | 12000 | 0.0005 | 0.999 |
|
| 174 |
+
| 0.0 | 0.7744 | 12100 | 0.0004 | 0.999 |
|
| 175 |
+
| 0.0 | 0.7808 | 12200 | 0.0003 | 0.999 |
|
| 176 |
+
| 0.0 | 0.7872 | 12300 | 0.0003 | 0.999 |
|
| 177 |
+
| 0.0 | 0.7936 | 12400 | 0.0003 | 0.999 |
|
| 178 |
+
| 0.0 | 0.8 | 12500 | 0.0003 | 0.999 |
|
| 179 |
+
| 0.0 | 0.8064 | 12600 | 0.0003 | 0.999 |
|
| 180 |
+
| 0.0 | 0.8128 | 12700 | 0.0003 | 0.999 |
|
| 181 |
+
| 0.0 | 0.8192 | 12800 | 0.0003 | 0.999 |
|
| 182 |
+
| 0.0 | 0.8256 | 12900 | 0.0003 | 0.999 |
|
| 183 |
+
| 0.0 | 0.832 | 13000 | 0.0003 | 0.999 |
|
| 184 |
+
| 0.0 | 0.8384 | 13100 | 0.0003 | 0.999 |
|
| 185 |
+
| 0.0 | 0.8448 | 13200 | 0.0003 | 0.999 |
|
| 186 |
+
| 0.0 | 0.8512 | 13300 | 0.0002 | 0.999 |
|
| 187 |
+
| 0.0 | 0.8576 | 13400 | 0.0002 | 0.999 |
|
| 188 |
+
| 0.0 | 0.864 | 13500 | 0.0001 | 0.999 |
|
| 189 |
+
| 0.0 | 0.8704 | 13600 | 0.0001 | 0.999 |
|
| 190 |
+
| 0.0 | 0.8768 | 13700 | 0.0001 | 0.999 |
|
| 191 |
+
| 0.0 | 0.8832 | 13800 | 0.0001 | 0.999 |
|
| 192 |
+
| 0.0 | 0.8896 | 13900 | 0.0002 | 0.999 |
|
| 193 |
+
| 0.0 | 0.896 | 14000 | 0.0002 | 0.999 |
|
| 194 |
+
| 0.0 | 0.9024 | 14100 | 0.0001 | 0.999 |
|
| 195 |
+
| 0.0 | 0.9088 | 14200 | 0.0001 | 0.999 |
|
| 196 |
+
| 0.0 | 0.9152 | 14300 | 0.0001 | 0.999 |
|
| 197 |
+
| 0.0 | 0.9216 | 14400 | 0.0001 | 0.999 |
|
| 198 |
+
| 0.0 | 0.928 | 14500 | 0.0001 | 0.999 |
|
| 199 |
+
| 0.0 | 0.9344 | 14600 | 0.0001 | 0.999 |
|
| 200 |
+
| 0.0 | 0.9408 | 14700 | 0.0001 | 0.999 |
|
| 201 |
+
| 0.0 | 0.9472 | 14800 | 0.0001 | 0.999 |
|
| 202 |
+
| 0.0 | 0.9536 | 14900 | 0.0001 | 0.999 |
|
| 203 |
+
| 0.0 | 0.96 | 15000 | 0.0001 | 0.999 |
|
| 204 |
+
| 0.0 | 0.9664 | 15100 | 0.0001 | 0.999 |
|
| 205 |
+
| 0.0 | 0.9728 | 15200 | 0.0001 | 0.999 |
|
| 206 |
+
| 0.0 | 0.9792 | 15300 | 0.0001 | 0.999 |
|
| 207 |
+
| 0.0 | 0.9856 | 15400 | 0.0001 | 0.999 |
|
| 208 |
+
| 0.0 | 0.992 | 15500 | 0.0001 | 0.999 |
|
| 209 |
+
| 0.0 | 0.9984 | 15600 | 0.0001 | 0.999 |
|
| 210 |
|
| 211 |
|
| 212 |
### Framework versions
|
config.json
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
"NanoGPT"
|
| 4 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "mtzig/reverse_add_replicate_eval17_corruptedfull",
|
| 3 |
"architectures": [
|
| 4 |
"NanoGPT"
|
| 5 |
],
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 42640744
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:136aa5cdbfd4ea349cf6b8ff1b005a1d77f3abfac97c51adbfd41f59969f83dc
|
| 3 |
size 42640744
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dfddfffc7d62d76736e3e9874637eafea8b9c3d91096848c7cdcd91dcb6cde98
|
| 3 |
size 5240
|