End of training
Browse files
README.md
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This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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## Model description
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@@ -44,426 +44,266 @@ The following hyperparameters were used during training:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.1341 | 4.11 | 17400 | 0.2966 |
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| 302 |
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| 0.1299 | 4.12 | 17450 | 0.2921 |
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| 303 |
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| 0.1162 | 4.13 | 17500 | 0.2917 |
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| 304 |
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| 0.1175 | 4.15 | 17550 | 0.2937 |
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| 0.1185 | 4.16 | 17600 | 0.2940 |
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| 0.1185 | 4.17 | 17650 | 0.2922 |
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| 0.1332 | 4.18 | 17700 | 0.2916 |
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| 0.13 | 4.19 | 17750 | 0.2916 |
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| 0.1301 | 4.21 | 17800 | 0.2921 |
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| 0.1196 | 4.22 | 17850 | 0.2921 |
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| 0.1169 | 4.23 | 17900 | 0.2924 |
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| 0.1079 | 4.24 | 17950 | 0.2977 |
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| 0.1103 | 4.25 | 18000 | 0.2945 |
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| 0.1205 | 4.26 | 18050 | 0.2919 |
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| 0.1191 | 4.28 | 18100 | 0.2918 |
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| 0.1271 | 4.29 | 18150 | 0.2924 |
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| 0.1181 | 4.3 | 18200 | 0.2934 |
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| 0.1151 | 4.31 | 18250 | 0.2935 |
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| 0.1323 | 4.32 | 18300 | 0.2922 |
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| 0.1073 | 4.33 | 18350 | 0.2940 |
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| 0.1173 | 4.35 | 18400 | 0.2898 |
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| 0.118 | 4.36 | 18450 | 0.2937 |
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| 0.122 | 4.37 | 18500 | 0.2921 |
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| 0.1276 | 4.38 | 18550 | 0.2899 |
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| 0.145 | 4.39 | 18600 | 0.2918 |
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| 0.1219 | 4.41 | 18650 | 0.2943 |
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| 0.1198 | 4.42 | 18700 | 0.2917 |
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| 0.1242 | 4.43 | 18750 | 0.2926 |
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| 0.1188 | 4.44 | 18800 | 0.2939 |
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| 0.1098 | 4.45 | 18850 | 0.2946 |
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| 0.1163 | 4.46 | 18900 | 0.2912 |
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| 0.1181 | 4.48 | 18950 | 0.2912 |
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| 0.1341 | 4.49 | 19000 | 0.2903 |
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| 0.1198 | 4.5 | 19050 | 0.2890 |
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| 0.1234 | 4.51 | 19100 | 0.2892 |
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| 0.1192 | 4.52 | 19150 | 0.2933 |
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| 0.1185 | 4.54 | 19200 | 0.2932 |
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| 338 |
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| 0.1122 | 4.55 | 19250 | 0.2925 |
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| 0.1259 | 4.56 | 19300 | 0.2877 |
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| 0.1218 | 4.57 | 19350 | 0.2903 |
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| 0.1245 | 4.58 | 19400 | 0.2894 |
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| 0.1086 | 4.59 | 19450 | 0.2914 |
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| 0.1234 | 4.61 | 19500 | 0.2924 |
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| 0.1238 | 4.62 | 19550 | 0.2929 |
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| 0.1162 | 4.63 | 19600 | 0.2931 |
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| 0.1271 | 4.64 | 19650 | 0.2910 |
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| 0.1165 | 4.65 | 19700 | 0.2875 |
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| 0.125 | 4.67 | 19750 | 0.2902 |
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| 0.122 | 4.68 | 19800 | 0.2882 |
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| 0.115 | 4.69 | 19850 | 0.2896 |
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| 351 |
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| 0.1112 | 4.7 | 19900 | 0.2904 |
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| 352 |
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| 0.1215 | 4.71 | 19950 | 0.2901 |
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| 353 |
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| 0.1241 | 4.72 | 20000 | 0.2912 |
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| 354 |
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| 0.1181 | 4.74 | 20050 | 0.2911 |
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| 355 |
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| 0.1215 | 4.75 | 20100 | 0.2901 |
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| 356 |
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| 0.1196 | 4.76 | 20150 | 0.2907 |
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| 357 |
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| 0.1205 | 4.77 | 20200 | 0.2919 |
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| 358 |
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| 0.1237 | 4.78 | 20250 | 0.2915 |
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| 359 |
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| 0.127 | 4.8 | 20300 | 0.2888 |
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| 360 |
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| 0.1108 | 4.81 | 20350 | 0.2923 |
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| 361 |
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| 0.1064 | 4.82 | 20400 | 0.2925 |
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| 362 |
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| 0.1238 | 4.83 | 20450 | 0.2899 |
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| 363 |
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| 0.1213 | 4.84 | 20500 | 0.2894 |
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| 364 |
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| 0.1325 | 4.85 | 20550 | 0.2891 |
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| 365 |
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| 0.1219 | 4.87 | 20600 | 0.2894 |
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| 366 |
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| 0.12 | 4.88 | 20650 | 0.2912 |
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| 367 |
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| 0.1241 | 4.89 | 20700 | 0.2878 |
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| 368 |
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| 0.1258 | 4.9 | 20750 | 0.2873 |
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| 369 |
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| 0.1201 | 4.91 | 20800 | 0.2900 |
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| 370 |
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| 0.1136 | 4.93 | 20850 | 0.2892 |
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| 371 |
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| 0.1308 | 4.94 | 20900 | 0.2879 |
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| 372 |
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| 0.1143 | 4.95 | 20950 | 0.2879 |
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| 373 |
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| 0.1161 | 4.96 | 21000 | 0.2911 |
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| 374 |
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| 0.108 | 4.97 | 21050 | 0.2884 |
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| 375 |
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| 0.1326 | 4.98 | 21100 | 0.2853 |
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| 376 |
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| 0.1127 | 5.0 | 21150 | 0.2887 |
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| 377 |
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| 0.0953 | 5.01 | 21200 | 0.3096 |
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| 378 |
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| 0.078 | 5.02 | 21250 | 0.3143 |
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| 379 |
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| 0.0815 | 5.03 | 21300 | 0.3126 |
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| 380 |
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| 0.0732 | 5.04 | 21350 | 0.3179 |
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| 381 |
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| 0.083 | 5.06 | 21400 | 0.3153 |
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| 382 |
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| 0.0726 | 5.07 | 21450 | 0.3163 |
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| 383 |
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| 0.073 | 5.08 | 21500 | 0.3144 |
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| 384 |
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| 0.0787 | 5.09 | 21550 | 0.3164 |
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| 385 |
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| 0.0763 | 5.1 | 21600 | 0.3146 |
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| 386 |
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| 0.0735 | 5.11 | 21650 | 0.3133 |
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| 387 |
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| 0.0809 | 5.13 | 21700 | 0.3179 |
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| 388 |
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| 0.0745 | 5.14 | 21750 | 0.3136 |
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| 389 |
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| 0.0803 | 5.15 | 21800 | 0.3153 |
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| 390 |
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| 0.0808 | 5.16 | 21850 | 0.3173 |
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| 391 |
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| 0.0735 | 5.17 | 21900 | 0.3194 |
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| 392 |
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| 0.0773 | 5.19 | 21950 | 0.3181 |
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| 393 |
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| 0.0758 | 5.2 | 22000 | 0.3199 |
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| 394 |
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| 0.0758 | 5.21 | 22050 | 0.3183 |
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| 395 |
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| 0.0735 | 5.22 | 22100 | 0.3158 |
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| 396 |
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| 0.0791 | 5.23 | 22150 | 0.3178 |
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| 397 |
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| 0.0828 | 5.24 | 22200 | 0.3190 |
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| 398 |
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| 0.0694 | 5.26 | 22250 | 0.3199 |
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| 399 |
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| 0.0745 | 5.27 | 22300 | 0.3190 |
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| 400 |
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| 0.0728 | 5.28 | 22350 | 0.3194 |
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| 401 |
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| 0.0716 | 5.29 | 22400 | 0.3211 |
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| 402 |
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| 0.0756 | 5.3 | 22450 | 0.3188 |
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| 403 |
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| 0.0713 | 5.32 | 22500 | 0.3188 |
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| 404 |
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| 0.0772 | 5.33 | 22550 | 0.3199 |
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| 405 |
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| 0.0809 | 5.34 | 22600 | 0.3184 |
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| 406 |
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| 0.0739 | 5.35 | 22650 | 0.3189 |
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| 407 |
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| 0.0739 | 5.36 | 22700 | 0.3186 |
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| 408 |
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| 0.0815 | 5.37 | 22750 | 0.3177 |
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| 409 |
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| 0.0734 | 5.39 | 22800 | 0.3183 |
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| 410 |
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| 0.084 | 5.4 | 22850 | 0.3168 |
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| 411 |
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| 0.0736 | 5.41 | 22900 | 0.3188 |
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| 412 |
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| 0.0761 | 5.42 | 22950 | 0.3188 |
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| 413 |
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| 0.0735 | 5.43 | 23000 | 0.3183 |
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| 414 |
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| 0.075 | 5.45 | 23050 | 0.3187 |
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| 415 |
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| 0.0767 | 5.46 | 23100 | 0.3192 |
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| 416 |
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| 0.0856 | 5.47 | 23150 | 0.3182 |
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| 417 |
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| 0.0695 | 5.48 | 23200 | 0.3210 |
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| 418 |
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| 0.0754 | 5.49 | 23250 | 0.3207 |
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| 419 |
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| 0.0795 | 5.5 | 23300 | 0.3197 |
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| 420 |
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| 0.0733 | 5.52 | 23350 | 0.3196 |
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| 421 |
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| 0.076 | 5.53 | 23400 | 0.3217 |
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| 422 |
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| 0.0764 | 5.54 | 23450 | 0.3197 |
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| 423 |
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| 0.0742 | 5.55 | 23500 | 0.3212 |
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| 424 |
-
| 0.075 | 5.56 | 23550 | 0.3211 |
|
| 425 |
-
| 0.078 | 5.58 | 23600 | 0.3196 |
|
| 426 |
-
| 0.0798 | 5.59 | 23650 | 0.3200 |
|
| 427 |
-
| 0.0736 | 5.6 | 23700 | 0.3181 |
|
| 428 |
-
| 0.0848 | 5.61 | 23750 | 0.3184 |
|
| 429 |
-
| 0.0752 | 5.62 | 23800 | 0.3193 |
|
| 430 |
-
| 0.0732 | 5.63 | 23850 | 0.3186 |
|
| 431 |
-
| 0.0788 | 5.65 | 23900 | 0.3175 |
|
| 432 |
-
| 0.0822 | 5.66 | 23950 | 0.3186 |
|
| 433 |
-
| 0.0772 | 5.67 | 24000 | 0.3195 |
|
| 434 |
-
| 0.0779 | 5.68 | 24050 | 0.3197 |
|
| 435 |
-
| 0.0778 | 5.69 | 24100 | 0.3202 |
|
| 436 |
-
| 0.0765 | 5.71 | 24150 | 0.3207 |
|
| 437 |
-
| 0.0819 | 5.72 | 24200 | 0.3193 |
|
| 438 |
-
| 0.0767 | 5.73 | 24250 | 0.3204 |
|
| 439 |
-
| 0.0726 | 5.74 | 24300 | 0.3214 |
|
| 440 |
-
| 0.0911 | 5.75 | 24350 | 0.3212 |
|
| 441 |
-
| 0.0665 | 5.76 | 24400 | 0.3208 |
|
| 442 |
-
| 0.0733 | 5.78 | 24450 | 0.3208 |
|
| 443 |
-
| 0.0745 | 5.79 | 24500 | 0.3202 |
|
| 444 |
-
| 0.0735 | 5.8 | 24550 | 0.3203 |
|
| 445 |
-
| 0.0717 | 5.81 | 24600 | 0.3202 |
|
| 446 |
-
| 0.0693 | 5.82 | 24650 | 0.3203 |
|
| 447 |
-
| 0.0748 | 5.84 | 24700 | 0.3198 |
|
| 448 |
-
| 0.0722 | 5.85 | 24750 | 0.3203 |
|
| 449 |
-
| 0.0805 | 5.86 | 24800 | 0.3205 |
|
| 450 |
-
| 0.0761 | 5.87 | 24850 | 0.3210 |
|
| 451 |
-
| 0.0706 | 5.88 | 24900 | 0.3208 |
|
| 452 |
-
| 0.0701 | 5.89 | 24950 | 0.3213 |
|
| 453 |
-
| 0.0776 | 5.91 | 25000 | 0.3210 |
|
| 454 |
-
| 0.081 | 5.92 | 25050 | 0.3208 |
|
| 455 |
-
| 0.0698 | 5.93 | 25100 | 0.3207 |
|
| 456 |
-
| 0.0708 | 5.94 | 25150 | 0.3208 |
|
| 457 |
-
| 0.0785 | 5.95 | 25200 | 0.3206 |
|
| 458 |
-
| 0.0708 | 5.97 | 25250 | 0.3206 |
|
| 459 |
-
| 0.0721 | 5.98 | 25300 | 0.3206 |
|
| 460 |
-
| 0.0718 | 5.99 | 25350 | 0.3206 |
|
| 461 |
|
| 462 |
|
| 463 |
### Framework versions
|
| 464 |
|
| 465 |
- PEFT 0.10.0
|
| 466 |
-
- Transformers 4.39.
|
| 467 |
- Pytorch 2.2.1+cu121
|
| 468 |
- Datasets 2.18.0
|
| 469 |
- Tokenizers 0.15.2
|
|
|
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.2987
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
- lr_scheduler_type: linear
|
| 46 |
- lr_scheduler_warmup_ratio: 0.03
|
| 47 |
+
- num_epochs: 5
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
| 51 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 52 |
|:-------------:|:-----:|:-----:|:---------------:|
|
| 53 |
+
| 0.2166 | 2.23 | 10000 | 0.2847 |
|
| 54 |
+
| 0.2222 | 2.24 | 10050 | 0.2844 |
|
| 55 |
+
| 0.2205 | 2.26 | 10100 | 0.2843 |
|
| 56 |
+
| 0.2148 | 2.27 | 10150 | 0.2841 |
|
| 57 |
+
| 0.211 | 2.28 | 10200 | 0.2851 |
|
| 58 |
+
| 0.2213 | 2.29 | 10250 | 0.2839 |
|
| 59 |
+
| 0.2035 | 2.3 | 10300 | 0.2835 |
|
| 60 |
+
| 0.2268 | 2.31 | 10350 | 0.2843 |
|
| 61 |
+
| 0.1978 | 2.32 | 10400 | 0.2869 |
|
| 62 |
+
| 0.2085 | 2.33 | 10450 | 0.2858 |
|
| 63 |
+
| 0.212 | 2.35 | 10500 | 0.2846 |
|
| 64 |
+
| 0.2086 | 2.36 | 10550 | 0.2843 |
|
| 65 |
+
| 0.2031 | 2.37 | 10600 | 0.2849 |
|
| 66 |
+
| 0.2139 | 2.38 | 10650 | 0.2826 |
|
| 67 |
+
| 0.182 | 2.39 | 10700 | 0.2832 |
|
| 68 |
+
| 0.1991 | 2.4 | 10750 | 0.2826 |
|
| 69 |
+
| 0.1905 | 2.41 | 10800 | 0.2869 |
|
| 70 |
+
| 0.2095 | 2.42 | 10850 | 0.2818 |
|
| 71 |
+
| 0.2211 | 2.43 | 10900 | 0.2800 |
|
| 72 |
+
| 0.2235 | 2.45 | 10950 | 0.2811 |
|
| 73 |
+
| 0.2376 | 2.46 | 11000 | 0.2820 |
|
| 74 |
+
| 0.2517 | 2.47 | 11050 | 0.2824 |
|
| 75 |
+
| 0.2099 | 2.48 | 11100 | 0.2780 |
|
| 76 |
+
| 0.2106 | 2.49 | 11150 | 0.2800 |
|
| 77 |
+
| 0.2222 | 2.5 | 11200 | 0.2781 |
|
| 78 |
+
| 0.238 | 2.51 | 11250 | 0.2772 |
|
| 79 |
+
| 0.2042 | 2.52 | 11300 | 0.2774 |
|
| 80 |
+
| 0.2312 | 2.54 | 11350 | 0.2805 |
|
| 81 |
+
| 0.2305 | 2.55 | 11400 | 0.2773 |
|
| 82 |
+
| 0.2078 | 2.56 | 11450 | 0.2752 |
|
| 83 |
+
| 0.2035 | 2.57 | 11500 | 0.2778 |
|
| 84 |
+
| 0.2203 | 2.58 | 11550 | 0.2772 |
|
| 85 |
+
| 0.2192 | 2.59 | 11600 | 0.2775 |
|
| 86 |
+
| 0.2299 | 2.6 | 11650 | 0.2762 |
|
| 87 |
+
| 0.2198 | 2.61 | 11700 | 0.2767 |
|
| 88 |
+
| 0.1911 | 2.62 | 11750 | 0.2804 |
|
| 89 |
+
| 0.1987 | 2.64 | 11800 | 0.2771 |
|
| 90 |
+
| 0.2159 | 2.65 | 11850 | 0.2764 |
|
| 91 |
+
| 0.2234 | 2.66 | 11900 | 0.2756 |
|
| 92 |
+
| 0.2055 | 2.67 | 11950 | 0.2748 |
|
| 93 |
+
| 0.2071 | 2.68 | 12000 | 0.2759 |
|
| 94 |
+
| 0.225 | 2.69 | 12050 | 0.2745 |
|
| 95 |
+
| 0.2416 | 2.7 | 12100 | 0.2770 |
|
| 96 |
+
| 0.1886 | 2.71 | 12150 | 0.2767 |
|
| 97 |
+
| 0.2027 | 2.73 | 12200 | 0.2747 |
|
| 98 |
+
| 0.1961 | 2.74 | 12250 | 0.2779 |
|
| 99 |
+
| 0.2249 | 2.75 | 12300 | 0.2718 |
|
| 100 |
+
| 0.219 | 2.76 | 12350 | 0.2729 |
|
| 101 |
+
| 0.2249 | 2.77 | 12400 | 0.2713 |
|
| 102 |
+
| 0.2029 | 2.78 | 12450 | 0.2722 |
|
| 103 |
+
| 0.2062 | 2.79 | 12500 | 0.2740 |
|
| 104 |
+
| 0.195 | 2.8 | 12550 | 0.2734 |
|
| 105 |
+
| 0.2151 | 2.81 | 12600 | 0.2731 |
|
| 106 |
+
| 0.209 | 2.83 | 12650 | 0.2696 |
|
| 107 |
+
| 0.1948 | 2.84 | 12700 | 0.2713 |
|
| 108 |
+
| 0.2222 | 2.85 | 12750 | 0.2685 |
|
| 109 |
+
| 0.1905 | 2.86 | 12800 | 0.2719 |
|
| 110 |
+
| 0.224 | 2.87 | 12850 | 0.2720 |
|
| 111 |
+
| 0.1984 | 2.88 | 12900 | 0.2703 |
|
| 112 |
+
| 0.2171 | 2.89 | 12950 | 0.2692 |
|
| 113 |
+
| 0.2118 | 2.9 | 13000 | 0.2687 |
|
| 114 |
+
| 0.1976 | 2.91 | 13050 | 0.2669 |
|
| 115 |
+
| 0.2155 | 2.93 | 13100 | 0.2687 |
|
| 116 |
+
| 0.1784 | 2.94 | 13150 | 0.2693 |
|
| 117 |
+
| 0.2089 | 2.95 | 13200 | 0.2697 |
|
| 118 |
+
| 0.1918 | 2.96 | 13250 | 0.2671 |
|
| 119 |
+
| 0.196 | 2.97 | 13300 | 0.2705 |
|
| 120 |
+
| 0.1874 | 2.98 | 13350 | 0.2696 |
|
| 121 |
+
| 0.227 | 2.99 | 13400 | 0.2668 |
|
| 122 |
+
| 0.197 | 3.0 | 13450 | 0.2779 |
|
| 123 |
+
| 0.1421 | 3.02 | 13500 | 0.2857 |
|
| 124 |
+
| 0.162 | 3.03 | 13550 | 0.2859 |
|
| 125 |
+
| 0.139 | 3.04 | 13600 | 0.2891 |
|
| 126 |
+
| 0.1418 | 3.05 | 13650 | 0.2852 |
|
| 127 |
+
| 0.1477 | 3.06 | 13700 | 0.2878 |
|
| 128 |
+
| 0.143 | 3.07 | 13750 | 0.2885 |
|
| 129 |
+
| 0.148 | 3.08 | 13800 | 0.2847 |
|
| 130 |
+
| 0.1433 | 3.09 | 13850 | 0.2874 |
|
| 131 |
+
| 0.1513 | 3.1 | 13900 | 0.2860 |
|
| 132 |
+
| 0.1405 | 3.12 | 13950 | 0.2857 |
|
| 133 |
+
| 0.141 | 3.13 | 14000 | 0.2907 |
|
| 134 |
+
| 0.1554 | 3.14 | 14050 | 0.2859 |
|
| 135 |
+
| 0.1546 | 3.15 | 14100 | 0.2856 |
|
| 136 |
+
| 0.1494 | 3.16 | 14150 | 0.2865 |
|
| 137 |
+
| 0.1485 | 3.17 | 14200 | 0.2853 |
|
| 138 |
+
| 0.1365 | 3.18 | 14250 | 0.2866 |
|
| 139 |
+
| 0.1537 | 3.19 | 14300 | 0.2869 |
|
| 140 |
+
| 0.1599 | 3.21 | 14350 | 0.2824 |
|
| 141 |
+
| 0.147 | 3.22 | 14400 | 0.2847 |
|
| 142 |
+
| 0.1576 | 3.23 | 14450 | 0.2826 |
|
| 143 |
+
| 0.1439 | 3.24 | 14500 | 0.2830 |
|
| 144 |
+
| 0.1463 | 3.25 | 14550 | 0.2810 |
|
| 145 |
+
| 0.1471 | 3.26 | 14600 | 0.2853 |
|
| 146 |
+
| 0.1708 | 3.27 | 14650 | 0.2809 |
|
| 147 |
+
| 0.1555 | 3.28 | 14700 | 0.2821 |
|
| 148 |
+
| 0.1563 | 3.29 | 14750 | 0.2816 |
|
| 149 |
+
| 0.1498 | 3.31 | 14800 | 0.2820 |
|
| 150 |
+
| 0.1464 | 3.32 | 14850 | 0.2835 |
|
| 151 |
+
| 0.159 | 3.33 | 14900 | 0.2821 |
|
| 152 |
+
| 0.1477 | 3.34 | 14950 | 0.2836 |
|
| 153 |
+
| 0.1531 | 3.35 | 15000 | 0.2849 |
|
| 154 |
+
| 0.1413 | 3.36 | 15050 | 0.2843 |
|
| 155 |
+
| 0.1509 | 3.37 | 15100 | 0.2830 |
|
| 156 |
+
| 0.1501 | 3.38 | 15150 | 0.2810 |
|
| 157 |
+
| 0.146 | 3.4 | 15200 | 0.2799 |
|
| 158 |
+
| 0.1567 | 3.41 | 15250 | 0.2819 |
|
| 159 |
+
| 0.1503 | 3.42 | 15300 | 0.2825 |
|
| 160 |
+
| 0.1688 | 3.43 | 15350 | 0.2829 |
|
| 161 |
+
| 0.1483 | 3.44 | 15400 | 0.2835 |
|
| 162 |
+
| 0.1446 | 3.45 | 15450 | 0.2844 |
|
| 163 |
+
| 0.144 | 3.46 | 15500 | 0.2809 |
|
| 164 |
+
| 0.1377 | 3.47 | 15550 | 0.2823 |
|
| 165 |
+
| 0.1554 | 3.48 | 15600 | 0.2800 |
|
| 166 |
+
| 0.1453 | 3.5 | 15650 | 0.2817 |
|
| 167 |
+
| 0.1448 | 3.51 | 15700 | 0.2814 |
|
| 168 |
+
| 0.1519 | 3.52 | 15750 | 0.2815 |
|
| 169 |
+
| 0.1372 | 3.53 | 15800 | 0.2813 |
|
| 170 |
+
| 0.1843 | 3.54 | 15850 | 0.2757 |
|
| 171 |
+
| 0.1433 | 3.55 | 15900 | 0.2789 |
|
| 172 |
+
| 0.1664 | 3.56 | 15950 | 0.2794 |
|
| 173 |
+
| 0.1495 | 3.57 | 16000 | 0.2779 |
|
| 174 |
+
| 0.1548 | 3.58 | 16050 | 0.2781 |
|
| 175 |
+
| 0.1459 | 3.6 | 16100 | 0.2798 |
|
| 176 |
+
| 0.1476 | 3.61 | 16150 | 0.2798 |
|
| 177 |
+
| 0.1509 | 3.62 | 16200 | 0.2784 |
|
| 178 |
+
| 0.1368 | 3.63 | 16250 | 0.2814 |
|
| 179 |
+
| 0.1386 | 3.64 | 16300 | 0.2788 |
|
| 180 |
+
| 0.1463 | 3.65 | 16350 | 0.2779 |
|
| 181 |
+
| 0.1427 | 3.66 | 16400 | 0.2769 |
|
| 182 |
+
| 0.1444 | 3.67 | 16450 | 0.2808 |
|
| 183 |
+
| 0.1401 | 3.69 | 16500 | 0.2754 |
|
| 184 |
+
| 0.168 | 3.7 | 16550 | 0.2770 |
|
| 185 |
+
| 0.158 | 3.71 | 16600 | 0.2774 |
|
| 186 |
+
| 0.1661 | 3.72 | 16650 | 0.2791 |
|
| 187 |
+
| 0.1528 | 3.73 | 16700 | 0.2780 |
|
| 188 |
+
| 0.1616 | 3.74 | 16750 | 0.2758 |
|
| 189 |
+
| 0.1591 | 3.75 | 16800 | 0.2748 |
|
| 190 |
+
| 0.1483 | 3.76 | 16850 | 0.2742 |
|
| 191 |
+
| 0.154 | 3.77 | 16900 | 0.2748 |
|
| 192 |
+
| 0.1545 | 3.79 | 16950 | 0.2747 |
|
| 193 |
+
| 0.1418 | 3.8 | 17000 | 0.2772 |
|
| 194 |
+
| 0.1301 | 3.81 | 17050 | 0.2781 |
|
| 195 |
+
| 0.1577 | 3.82 | 17100 | 0.2765 |
|
| 196 |
+
| 0.1553 | 3.83 | 17150 | 0.2747 |
|
| 197 |
+
| 0.159 | 3.84 | 17200 | 0.2752 |
|
| 198 |
+
| 0.1477 | 3.85 | 17250 | 0.2766 |
|
| 199 |
+
| 0.1458 | 3.86 | 17300 | 0.2746 |
|
| 200 |
+
| 0.1531 | 3.88 | 17350 | 0.2762 |
|
| 201 |
+
| 0.1461 | 3.89 | 17400 | 0.2738 |
|
| 202 |
+
| 0.1417 | 3.9 | 17450 | 0.2763 |
|
| 203 |
+
| 0.1471 | 3.91 | 17500 | 0.2753 |
|
| 204 |
+
| 0.1445 | 3.92 | 17550 | 0.2736 |
|
| 205 |
+
| 0.1505 | 3.93 | 17600 | 0.2738 |
|
| 206 |
+
| 0.1447 | 3.94 | 17650 | 0.2725 |
|
| 207 |
+
| 0.146 | 3.95 | 17700 | 0.2745 |
|
| 208 |
+
| 0.138 | 3.96 | 17750 | 0.2741 |
|
| 209 |
+
| 0.1514 | 3.98 | 17800 | 0.2723 |
|
| 210 |
+
| 0.1469 | 3.99 | 17850 | 0.2738 |
|
| 211 |
+
| 0.1344 | 4.0 | 17900 | 0.2752 |
|
| 212 |
+
| 0.1128 | 4.01 | 17950 | 0.2935 |
|
| 213 |
+
| 0.1037 | 4.02 | 18000 | 0.2976 |
|
| 214 |
+
| 0.0909 | 4.03 | 18050 | 0.2982 |
|
| 215 |
+
| 0.0912 | 4.04 | 18100 | 0.2959 |
|
| 216 |
+
| 0.1141 | 4.05 | 18150 | 0.2938 |
|
| 217 |
+
| 0.1047 | 4.07 | 18200 | 0.2974 |
|
| 218 |
+
| 0.096 | 4.08 | 18250 | 0.2974 |
|
| 219 |
+
| 0.1128 | 4.09 | 18300 | 0.2952 |
|
| 220 |
+
| 0.1147 | 4.1 | 18350 | 0.2954 |
|
| 221 |
+
| 0.1081 | 4.11 | 18400 | 0.2960 |
|
| 222 |
+
| 0.1058 | 4.12 | 18450 | 0.2943 |
|
| 223 |
+
| 0.1068 | 4.13 | 18500 | 0.2966 |
|
| 224 |
+
| 0.0939 | 4.14 | 18550 | 0.2999 |
|
| 225 |
+
| 0.0948 | 4.15 | 18600 | 0.2977 |
|
| 226 |
+
| 0.0935 | 4.17 | 18650 | 0.2992 |
|
| 227 |
+
| 0.11 | 4.18 | 18700 | 0.2968 |
|
| 228 |
+
| 0.1039 | 4.19 | 18750 | 0.2972 |
|
| 229 |
+
| 0.0915 | 4.2 | 18800 | 0.3043 |
|
| 230 |
+
| 0.0932 | 4.21 | 18850 | 0.2985 |
|
| 231 |
+
| 0.0896 | 4.22 | 18900 | 0.2995 |
|
| 232 |
+
| 0.097 | 4.23 | 18950 | 0.2987 |
|
| 233 |
+
| 0.0965 | 4.24 | 19000 | 0.2943 |
|
| 234 |
+
| 0.1011 | 4.26 | 19050 | 0.2948 |
|
| 235 |
+
| 0.1019 | 4.27 | 19100 | 0.2969 |
|
| 236 |
+
| 0.1037 | 4.28 | 19150 | 0.2986 |
|
| 237 |
+
| 0.1046 | 4.29 | 19200 | 0.2950 |
|
| 238 |
+
| 0.1004 | 4.3 | 19250 | 0.2954 |
|
| 239 |
+
| 0.0998 | 4.31 | 19300 | 0.2999 |
|
| 240 |
+
| 0.0969 | 4.32 | 19350 | 0.2972 |
|
| 241 |
+
| 0.0925 | 4.33 | 19400 | 0.2990 |
|
| 242 |
+
| 0.0964 | 4.34 | 19450 | 0.3001 |
|
| 243 |
+
| 0.098 | 4.36 | 19500 | 0.2993 |
|
| 244 |
+
| 0.0915 | 4.37 | 19550 | 0.3003 |
|
| 245 |
+
| 0.089 | 4.38 | 19600 | 0.2993 |
|
| 246 |
+
| 0.0959 | 4.39 | 19650 | 0.2969 |
|
| 247 |
+
| 0.0975 | 4.4 | 19700 | 0.2967 |
|
| 248 |
+
| 0.0939 | 4.41 | 19750 | 0.2979 |
|
| 249 |
+
| 0.0993 | 4.42 | 19800 | 0.2976 |
|
| 250 |
+
| 0.0889 | 4.43 | 19850 | 0.2986 |
|
| 251 |
+
| 0.0998 | 4.44 | 19900 | 0.3001 |
|
| 252 |
+
| 0.0996 | 4.46 | 19950 | 0.2985 |
|
| 253 |
+
| 0.1021 | 4.47 | 20000 | 0.3000 |
|
| 254 |
+
| 0.1012 | 4.48 | 20050 | 0.2991 |
|
| 255 |
+
| 0.0981 | 4.49 | 20100 | 0.2992 |
|
| 256 |
+
| 0.1031 | 4.5 | 20150 | 0.2994 |
|
| 257 |
+
| 0.0952 | 4.51 | 20200 | 0.3004 |
|
| 258 |
+
| 0.1021 | 4.52 | 20250 | 0.2980 |
|
| 259 |
+
| 0.0965 | 4.53 | 20300 | 0.2991 |
|
| 260 |
+
| 0.0926 | 4.55 | 20350 | 0.2986 |
|
| 261 |
+
| 0.0921 | 4.56 | 20400 | 0.2996 |
|
| 262 |
+
| 0.0922 | 4.57 | 20450 | 0.2996 |
|
| 263 |
+
| 0.0961 | 4.58 | 20500 | 0.2998 |
|
| 264 |
+
| 0.0929 | 4.59 | 20550 | 0.3013 |
|
| 265 |
+
| 0.1007 | 4.6 | 20600 | 0.2985 |
|
| 266 |
+
| 0.0957 | 4.61 | 20650 | 0.2989 |
|
| 267 |
+
| 0.0955 | 4.62 | 20700 | 0.2996 |
|
| 268 |
+
| 0.1003 | 4.63 | 20750 | 0.3003 |
|
| 269 |
+
| 0.09 | 4.65 | 20800 | 0.3001 |
|
| 270 |
+
| 0.0975 | 4.66 | 20850 | 0.3000 |
|
| 271 |
+
| 0.0976 | 4.67 | 20900 | 0.2987 |
|
| 272 |
+
| 0.0911 | 4.68 | 20950 | 0.2982 |
|
| 273 |
+
| 0.0939 | 4.69 | 21000 | 0.2991 |
|
| 274 |
+
| 0.0956 | 4.7 | 21050 | 0.2988 |
|
| 275 |
+
| 0.1091 | 4.71 | 21100 | 0.2971 |
|
| 276 |
+
| 0.095 | 4.72 | 21150 | 0.2962 |
|
| 277 |
+
| 0.0898 | 4.74 | 21200 | 0.2960 |
|
| 278 |
+
| 0.0898 | 4.75 | 21250 | 0.2976 |
|
| 279 |
+
| 0.0915 | 4.76 | 21300 | 0.2991 |
|
| 280 |
+
| 0.0967 | 4.77 | 21350 | 0.2977 |
|
| 281 |
+
| 0.0929 | 4.78 | 21400 | 0.2982 |
|
| 282 |
+
| 0.0928 | 4.79 | 21450 | 0.2975 |
|
| 283 |
+
| 0.0865 | 4.8 | 21500 | 0.2989 |
|
| 284 |
+
| 0.0988 | 4.81 | 21550 | 0.2988 |
|
| 285 |
+
| 0.0871 | 4.82 | 21600 | 0.2993 |
|
| 286 |
+
| 0.0996 | 4.84 | 21650 | 0.2987 |
|
| 287 |
+
| 0.0914 | 4.85 | 21700 | 0.2988 |
|
| 288 |
+
| 0.0818 | 4.86 | 21750 | 0.2986 |
|
| 289 |
+
| 0.0909 | 4.87 | 21800 | 0.2992 |
|
| 290 |
+
| 0.0879 | 4.88 | 21850 | 0.2993 |
|
| 291 |
+
| 0.0879 | 4.89 | 21900 | 0.2996 |
|
| 292 |
+
| 0.09 | 4.9 | 21950 | 0.2993 |
|
| 293 |
+
| 0.095 | 4.91 | 22000 | 0.2989 |
|
| 294 |
+
| 0.0845 | 4.93 | 22050 | 0.2991 |
|
| 295 |
+
| 0.0974 | 4.94 | 22100 | 0.2992 |
|
| 296 |
+
| 0.0991 | 4.95 | 22150 | 0.2991 |
|
| 297 |
+
| 0.0902 | 4.96 | 22200 | 0.2987 |
|
| 298 |
+
| 0.0881 | 4.97 | 22250 | 0.2987 |
|
| 299 |
+
| 0.0989 | 4.98 | 22300 | 0.2987 |
|
| 300 |
+
| 0.093 | 4.99 | 22350 | 0.2987 |
|
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| 301 |
|
| 302 |
|
| 303 |
### Framework versions
|
| 304 |
|
| 305 |
- PEFT 0.10.0
|
| 306 |
+
- Transformers 4.39.2
|
| 307 |
- Pytorch 2.2.1+cu121
|
| 308 |
- Datasets 2.18.0
|
| 309 |
- Tokenizers 0.15.2
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2332095256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37597c3d7e258afac498056817c9707ad704910389c883c46eedb56f1f33a272
|
| 3 |
size 2332095256
|
runs/Apr02_08-16-15_1f3fbe1ee1c0/events.out.tfevents.1712045782.1f3fbe1ee1c0.49623.0
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:dcd94b1926a0c0df0271f01ca82d2f0ce03ced4a83d08e2e343d8ea2b63ed7ad
|
| 3 |
+
size 168161
|