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End of training

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README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.3001
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  ## Model description
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@@ -50,184 +50,229 @@ 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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- | 0.1811 | 2.3788 | 13000 | 0.2900 |
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- | 0.2081 | 2.3879 | 13050 | 0.2917 |
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- | 0.1862 | 2.3971 | 13100 | 0.2925 |
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- | 0.1806 | 2.4062 | 13150 | 0.2905 |
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- | 0.1844 | 2.4154 | 13200 | 0.2887 |
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- | 0.1862 | 2.4245 | 13250 | 0.2879 |
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- | 0.1783 | 2.4337 | 13300 | 0.2897 |
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- | 0.2143 | 2.4428 | 13350 | 0.2871 |
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- | 0.2068 | 2.4520 | 13400 | 0.2877 |
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- | 0.1815 | 2.4611 | 13450 | 0.2877 |
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- | 0.1657 | 2.4703 | 13500 | 0.2871 |
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- | 0.2198 | 2.4794 | 13550 | 0.2857 |
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- | 0.1709 | 2.4886 | 13600 | 0.2872 |
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- | 0.1741 | 2.4977 | 13650 | 0.2857 |
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- | 0.217 | 2.5069 | 13700 | 0.2847 |
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- | 0.2064 | 2.5160 | 13750 | 0.2861 |
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- | 0.1813 | 2.5252 | 13800 | 0.2856 |
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- | 0.1895 | 2.5343 | 13850 | 0.2867 |
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- | 0.1881 | 2.5435 | 13900 | 0.2856 |
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- | 0.1815 | 2.5526 | 13950 | 0.2872 |
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- | 0.1772 | 2.5618 | 14000 | 0.2849 |
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- | 0.1808 | 2.5709 | 14050 | 0.2858 |
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- | 0.1808 | 2.5801 | 14100 | 0.2851 |
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- | 0.1949 | 2.5892 | 14150 | 0.2865 |
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- | 0.1894 | 2.5984 | 14200 | 0.2859 |
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- | 0.18 | 2.6075 | 14250 | 0.2846 |
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- | 0.1765 | 2.6167 | 14300 | 0.2842 |
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- | 0.178 | 2.6258 | 14350 | 0.2841 |
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- | 0.2042 | 2.6349 | 14400 | 0.2844 |
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- | 0.2073 | 2.6441 | 14450 | 0.2854 |
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- | 0.1748 | 2.6532 | 14500 | 0.2842 |
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- | 0.2015 | 2.6624 | 14550 | 0.2838 |
85
- | 0.1968 | 2.6715 | 14600 | 0.2836 |
86
- | 0.1919 | 2.6807 | 14650 | 0.2846 |
87
- | 0.1811 | 2.6898 | 14700 | 0.2834 |
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- | 0.1751 | 2.6990 | 14750 | 0.2852 |
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- | 0.1889 | 2.7081 | 14800 | 0.2818 |
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- | 0.184 | 2.7173 | 14850 | 0.2833 |
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- | 0.1861 | 2.7264 | 14900 | 0.2852 |
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- | 0.1997 | 2.7356 | 14950 | 0.2835 |
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- | 0.1638 | 2.7447 | 15000 | 0.2839 |
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- | 0.1941 | 2.7539 | 15050 | 0.2830 |
95
- | 0.1759 | 2.7630 | 15100 | 0.2833 |
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- | 0.1803 | 2.7722 | 15150 | 0.2837 |
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- | 0.1727 | 2.7813 | 15200 | 0.2834 |
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- | 0.2242 | 2.7905 | 15250 | 0.2816 |
99
- | 0.1911 | 2.7996 | 15300 | 0.2849 |
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- | 0.196 | 2.8088 | 15350 | 0.2825 |
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- | 0.196 | 2.8179 | 15400 | 0.2815 |
102
- | 0.1701 | 2.8271 | 15450 | 0.2800 |
103
- | 0.1771 | 2.8362 | 15500 | 0.2823 |
104
- | 0.187 | 2.8454 | 15550 | 0.2816 |
105
- | 0.1804 | 2.8545 | 15600 | 0.2823 |
106
- | 0.1722 | 2.8637 | 15650 | 0.2805 |
107
- | 0.1957 | 2.8728 | 15700 | 0.2777 |
108
- | 0.1725 | 2.8820 | 15750 | 0.2794 |
109
- | 0.1945 | 2.8911 | 15800 | 0.2793 |
110
- | 0.1884 | 2.9003 | 15850 | 0.2781 |
111
- | 0.1687 | 2.9094 | 15900 | 0.2797 |
112
- | 0.1965 | 2.9186 | 15950 | 0.2783 |
113
- | 0.1669 | 2.9277 | 16000 | 0.2789 |
114
- | 0.1827 | 2.9369 | 16050 | 0.2781 |
115
- | 0.1663 | 2.9460 | 16100 | 0.2779 |
116
- | 0.1665 | 2.9552 | 16150 | 0.2807 |
117
- | 0.1812 | 2.9643 | 16200 | 0.2796 |
118
- | 0.1995 | 2.9735 | 16250 | 0.2784 |
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- | 0.1792 | 2.9826 | 16300 | 0.2786 |
120
- | 0.184 | 2.9918 | 16350 | 0.2786 |
121
- | 0.1727 | 3.0009 | 16400 | 0.2781 |
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- | 0.1239 | 3.0101 | 16450 | 0.3034 |
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- | 0.1256 | 3.0192 | 16500 | 0.2975 |
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- | 0.1732 | 3.0284 | 16550 | 0.2993 |
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- | 0.1216 | 3.0375 | 16600 | 0.2999 |
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- | 0.1283 | 3.0467 | 16650 | 0.3015 |
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- | 0.1225 | 3.0558 | 16700 | 0.3011 |
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- | 0.1284 | 3.0650 | 16750 | 0.3038 |
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- | 0.1246 | 3.0741 | 16800 | 0.2990 |
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- | 0.1277 | 3.0833 | 16850 | 0.3011 |
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- | 0.1237 | 3.0924 | 16900 | 0.3023 |
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- | 0.1174 | 3.1016 | 16950 | 0.3053 |
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- | 0.1202 | 3.1107 | 17000 | 0.3037 |
134
- | 0.121 | 3.1199 | 17050 | 0.3013 |
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- | 0.126 | 3.1290 | 17100 | 0.3034 |
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- | 0.1188 | 3.1382 | 17150 | 0.3008 |
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- | 0.1346 | 3.1473 | 17200 | 0.2997 |
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- | 0.1428 | 3.1565 | 17250 | 0.3011 |
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- | 0.1263 | 3.1656 | 17300 | 0.3038 |
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- | 0.1391 | 3.1747 | 17350 | 0.3044 |
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- | 0.128 | 3.1839 | 17400 | 0.3026 |
142
- | 0.1367 | 3.1930 | 17450 | 0.3040 |
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- | 0.1214 | 3.2022 | 17500 | 0.3046 |
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- | 0.1253 | 3.2113 | 17550 | 0.3049 |
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- | 0.1157 | 3.2205 | 17600 | 0.3048 |
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- | 0.1354 | 3.2296 | 17650 | 0.3033 |
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- | 0.1233 | 3.2388 | 17700 | 0.3001 |
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- | 0.1139 | 3.2479 | 17750 | 0.3028 |
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- | 0.1297 | 3.2571 | 17800 | 0.3026 |
150
- | 0.1339 | 3.2662 | 17850 | 0.3014 |
151
- | 0.1244 | 3.2754 | 17900 | 0.3041 |
152
- | 0.1351 | 3.2845 | 17950 | 0.3051 |
153
- | 0.1147 | 3.2937 | 18000 | 0.3036 |
154
- | 0.1251 | 3.3028 | 18050 | 0.3031 |
155
- | 0.1158 | 3.3120 | 18100 | 0.3030 |
156
- | 0.1192 | 3.3211 | 18150 | 0.3043 |
157
- | 0.1293 | 3.3303 | 18200 | 0.3048 |
158
- | 0.1255 | 3.3394 | 18250 | 0.3006 |
159
- | 0.1306 | 3.3486 | 18300 | 0.3016 |
160
- | 0.1195 | 3.3577 | 18350 | 0.3029 |
161
- | 0.1273 | 3.3669 | 18400 | 0.3043 |
162
- | 0.1127 | 3.3760 | 18450 | 0.3044 |
163
- | 0.1315 | 3.3852 | 18500 | 0.3040 |
164
- | 0.1138 | 3.3943 | 18550 | 0.3018 |
165
- | 0.1277 | 3.4035 | 18600 | 0.3039 |
166
- | 0.1139 | 3.4126 | 18650 | 0.3031 |
167
- | 0.1244 | 3.4218 | 18700 | 0.3019 |
168
- | 0.1323 | 3.4309 | 18750 | 0.3013 |
169
- | 0.128 | 3.4401 | 18800 | 0.3015 |
170
- | 0.1232 | 3.4492 | 18850 | 0.3035 |
171
- | 0.1276 | 3.4584 | 18900 | 0.3032 |
172
- | 0.1258 | 3.4675 | 18950 | 0.3037 |
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- | 0.1376 | 3.4767 | 19000 | 0.3022 |
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- | 0.1337 | 3.4858 | 19050 | 0.3019 |
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- | 0.1146 | 3.4950 | 19100 | 0.3028 |
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- | 0.115 | 3.5041 | 19150 | 0.3020 |
177
- | 0.1229 | 3.5133 | 19200 | 0.3014 |
178
- | 0.1324 | 3.5224 | 19250 | 0.3015 |
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- | 0.1294 | 3.5316 | 19300 | 0.3026 |
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- | 0.1284 | 3.5407 | 19350 | 0.3004 |
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- | 0.1247 | 3.5499 | 19400 | 0.3029 |
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- | 0.1227 | 3.5590 | 19450 | 0.3018 |
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- | 0.1192 | 3.5682 | 19500 | 0.3007 |
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- | 0.1204 | 3.5773 | 19550 | 0.3021 |
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- | 0.1124 | 3.5865 | 19600 | 0.3035 |
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- | 0.1254 | 3.5956 | 19650 | 0.3028 |
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- | 0.1225 | 3.6048 | 19700 | 0.3018 |
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- | 0.1198 | 3.6139 | 19750 | 0.3027 |
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- | 0.1245 | 3.6231 | 19800 | 0.3023 |
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- | 0.1175 | 3.6322 | 19850 | 0.3031 |
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- | 0.113 | 3.6414 | 19900 | 0.3034 |
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- | 0.1241 | 3.6505 | 19950 | 0.3028 |
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- | 0.1333 | 3.6597 | 20000 | 0.3028 |
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- | 0.1159 | 3.6688 | 20050 | 0.3016 |
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- | 0.1208 | 3.6780 | 20100 | 0.3015 |
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- | 0.1327 | 3.6871 | 20150 | 0.3002 |
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- | 0.1176 | 3.6962 | 20200 | 0.3020 |
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- | 0.1149 | 3.7054 | 20250 | 0.3020 |
199
- | 0.1126 | 3.7145 | 20300 | 0.3013 |
200
- | 0.1238 | 3.7237 | 20350 | 0.3001 |
201
- | 0.1129 | 3.7328 | 20400 | 0.3006 |
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- | 0.1259 | 3.7420 | 20450 | 0.3004 |
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- | 0.1186 | 3.7511 | 20500 | 0.3004 |
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- | 0.1257 | 3.7603 | 20550 | 0.3006 |
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- | 0.1265 | 3.7694 | 20600 | 0.3006 |
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- | 0.1257 | 3.7786 | 20650 | 0.3005 |
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- | 0.1167 | 3.7877 | 20700 | 0.3000 |
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- | 0.1121 | 3.7969 | 20750 | 0.3010 |
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- | 0.1201 | 3.8060 | 20800 | 0.3002 |
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- | 0.1299 | 3.8152 | 20850 | 0.3004 |
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- | 0.1325 | 3.8243 | 20900 | 0.2993 |
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- | 0.1221 | 3.8335 | 20950 | 0.2999 |
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- | 0.1166 | 3.8426 | 21000 | 0.3004 |
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- | 0.1149 | 3.8518 | 21050 | 0.3009 |
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- | 0.1094 | 3.8609 | 21100 | 0.3007 |
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- | 0.1267 | 3.8701 | 21150 | 0.2994 |
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- | 0.1246 | 3.8792 | 21200 | 0.2995 |
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- | 0.1217 | 3.8884 | 21250 | 0.2994 |
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- | 0.1133 | 3.8975 | 21300 | 0.2993 |
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- | 0.1106 | 3.9067 | 21350 | 0.2998 |
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- | 0.116 | 3.9158 | 21400 | 0.3001 |
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- | 0.1155 | 3.9250 | 21450 | 0.2998 |
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- | 0.1249 | 3.9341 | 21500 | 0.3002 |
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- | 0.1203 | 3.9433 | 21550 | 0.3003 |
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- | 0.1307 | 3.9524 | 21600 | 0.3001 |
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- | 0.1328 | 3.9616 | 21650 | 0.3001 |
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- | 0.1202 | 3.9707 | 21700 | 0.3001 |
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- | 0.1283 | 3.9799 | 21750 | 0.3001 |
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- | 0.1133 | 3.9890 | 21800 | 0.3001 |
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- | 0.1198 | 3.9982 | 21850 | 0.3001 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
@@ -235,5 +280,5 @@ The following hyperparameters were used during training:
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  - PEFT 0.12.0
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  - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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- - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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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: 0.3065
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.189 | 2.1545 | 13000 | 0.2986 |
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+ | 0.2052 | 2.1627 | 13050 | 0.2999 |
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+ | 0.2068 | 2.1710 | 13100 | 0.2962 |
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+ | 0.1851 | 2.1793 | 13150 | 0.2998 |
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+ | 0.2012 | 2.1876 | 13200 | 0.2979 |
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+ | 0.182 | 2.1959 | 13250 | 0.2975 |
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+ | 0.2076 | 2.2042 | 13300 | 0.2975 |
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+ | 0.1883 | 2.2125 | 13350 | 0.2966 |
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+ | 0.1748 | 2.2207 | 13400 | 0.2962 |
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+ | 0.1783 | 2.2290 | 13450 | 0.2982 |
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+ | 0.1898 | 2.2373 | 13500 | 0.2976 |
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+ | 0.2092 | 2.2456 | 13550 | 0.2966 |
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+ | 0.1828 | 2.2539 | 13600 | 0.2955 |
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+ | 0.1997 | 2.2622 | 13650 | 0.2974 |
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+ | 0.1966 | 2.2705 | 13700 | 0.2975 |
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+ | 0.2008 | 2.2788 | 13750 | 0.2955 |
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+ | 0.2011 | 2.2870 | 13800 | 0.2946 |
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+ | 0.1937 | 2.2953 | 13850 | 0.2979 |
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+ | 0.2004 | 2.3036 | 13900 | 0.2956 |
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+ | 0.1816 | 2.3119 | 13950 | 0.2971 |
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+ | 0.1935 | 2.3202 | 14000 | 0.2957 |
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+ | 0.1864 | 2.3285 | 14050 | 0.2962 |
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+ | 0.1914 | 2.3368 | 14100 | 0.2945 |
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+ | 0.1939 | 2.3450 | 14150 | 0.2948 |
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+ | 0.1912 | 2.3533 | 14200 | 0.2954 |
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+ | 0.1862 | 2.3616 | 14250 | 0.2956 |
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+ | 0.1951 | 2.3699 | 14300 | 0.2950 |
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+ | 0.1958 | 2.3782 | 14350 | 0.2942 |
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+ | 0.1838 | 2.3865 | 14400 | 0.2940 |
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+ | 0.2191 | 2.3948 | 14450 | 0.2941 |
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+ | 0.1995 | 2.4030 | 14500 | 0.2922 |
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+ | 0.1954 | 2.4113 | 14550 | 0.2952 |
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+ | 0.1959 | 2.4196 | 14600 | 0.2969 |
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+ | 0.1849 | 2.4279 | 14650 | 0.2934 |
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+ | 0.1842 | 2.4362 | 14700 | 0.2938 |
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+ | 0.1858 | 2.4445 | 14750 | 0.2943 |
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+ | 0.1827 | 2.4528 | 14800 | 0.2942 |
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+ | 0.198 | 2.4611 | 14850 | 0.2921 |
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+ | 0.2311 | 2.4693 | 14900 | 0.2951 |
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+ | 0.2 | 2.4776 | 14950 | 0.2932 |
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+ | 0.1871 | 2.4859 | 15000 | 0.2935 |
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+ | 0.1833 | 2.4942 | 15050 | 0.2947 |
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+ | 0.2216 | 2.5025 | 15100 | 0.2921 |
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+ | 0.1829 | 2.5108 | 15150 | 0.2924 |
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+ | 0.1772 | 2.5191 | 15200 | 0.2916 |
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+ | 0.1806 | 2.5273 | 15250 | 0.2930 |
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+ | 0.2089 | 2.5356 | 15300 | 0.2920 |
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+ | 0.216 | 2.5439 | 15350 | 0.2922 |
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+ | 0.1763 | 2.5522 | 15400 | 0.2908 |
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+ | 0.1835 | 2.5605 | 15450 | 0.2924 |
103
+ | 0.1928 | 2.5688 | 15500 | 0.2925 |
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+ | 0.1982 | 2.5771 | 15550 | 0.2895 |
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+ | 0.195 | 2.5853 | 15600 | 0.2907 |
106
+ | 0.1791 | 2.5936 | 15650 | 0.2904 |
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+ | 0.1782 | 2.6019 | 15700 | 0.2915 |
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+ | 0.1871 | 2.6102 | 15750 | 0.2898 |
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+ | 0.1892 | 2.6185 | 15800 | 0.2916 |
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+ | 0.1921 | 2.6268 | 15850 | 0.2914 |
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+ | 0.1799 | 2.6351 | 15900 | 0.2890 |
112
+ | 0.1923 | 2.6434 | 15950 | 0.2870 |
113
+ | 0.2109 | 2.6516 | 16000 | 0.2910 |
114
+ | 0.2088 | 2.6599 | 16050 | 0.2890 |
115
+ | 0.1968 | 2.6682 | 16100 | 0.2880 |
116
+ | 0.1938 | 2.6765 | 16150 | 0.2904 |
117
+ | 0.1839 | 2.6848 | 16200 | 0.2921 |
118
+ | 0.1764 | 2.6931 | 16250 | 0.2907 |
119
+ | 0.1696 | 2.7014 | 16300 | 0.2897 |
120
+ | 0.2276 | 2.7096 | 16350 | 0.2892 |
121
+ | 0.1968 | 2.7179 | 16400 | 0.2875 |
122
+ | 0.1991 | 2.7262 | 16450 | 0.2884 |
123
+ | 0.1683 | 2.7345 | 16500 | 0.2883 |
124
+ | 0.1765 | 2.7428 | 16550 | 0.2879 |
125
+ | 0.1988 | 2.7511 | 16600 | 0.2883 |
126
+ | 0.1921 | 2.7594 | 16650 | 0.2887 |
127
+ | 0.1799 | 2.7676 | 16700 | 0.2894 |
128
+ | 0.1907 | 2.7759 | 16750 | 0.2895 |
129
+ | 0.1805 | 2.7842 | 16800 | 0.2894 |
130
+ | 0.1595 | 2.7925 | 16850 | 0.2884 |
131
+ | 0.1758 | 2.8008 | 16900 | 0.2870 |
132
+ | 0.1768 | 2.8091 | 16950 | 0.2868 |
133
+ | 0.2019 | 2.8174 | 17000 | 0.2859 |
134
+ | 0.1985 | 2.8257 | 17050 | 0.2868 |
135
+ | 0.2022 | 2.8339 | 17100 | 0.2865 |
136
+ | 0.213 | 2.8422 | 17150 | 0.2858 |
137
+ | 0.1809 | 2.8505 | 17200 | 0.2859 |
138
+ | 0.1735 | 2.8588 | 17250 | 0.2868 |
139
+ | 0.1929 | 2.8671 | 17300 | 0.2866 |
140
+ | 0.1908 | 2.8754 | 17350 | 0.2862 |
141
+ | 0.2051 | 2.8837 | 17400 | 0.2857 |
142
+ | 0.1711 | 2.8919 | 17450 | 0.2863 |
143
+ | 0.1926 | 2.9002 | 17500 | 0.2863 |
144
+ | 0.1923 | 2.9085 | 17550 | 0.2847 |
145
+ | 0.198 | 2.9168 | 17600 | 0.2870 |
146
+ | 0.1882 | 2.9251 | 17650 | 0.2872 |
147
+ | 0.1932 | 2.9334 | 17700 | 0.2846 |
148
+ | 0.1839 | 2.9417 | 17750 | 0.2852 |
149
+ | 0.2221 | 2.9500 | 17800 | 0.2836 |
150
+ | 0.1874 | 2.9582 | 17850 | 0.2844 |
151
+ | 0.1677 | 2.9665 | 17900 | 0.2851 |
152
+ | 0.1802 | 2.9748 | 17950 | 0.2832 |
153
+ | 0.1873 | 2.9831 | 18000 | 0.2846 |
154
+ | 0.187 | 2.9914 | 18050 | 0.2856 |
155
+ | 0.1837 | 2.9997 | 18100 | 0.2866 |
156
+ | 0.1303 | 3.0080 | 18150 | 0.3016 |
157
+ | 0.125 | 3.0162 | 18200 | 0.3052 |
158
+ | 0.1264 | 3.0245 | 18250 | 0.3051 |
159
+ | 0.1199 | 3.0328 | 18300 | 0.3092 |
160
+ | 0.1403 | 3.0411 | 18350 | 0.3044 |
161
+ | 0.128 | 3.0494 | 18400 | 0.3089 |
162
+ | 0.1466 | 3.0577 | 18450 | 0.3043 |
163
+ | 0.1307 | 3.0660 | 18500 | 0.3046 |
164
+ | 0.135 | 3.0742 | 18550 | 0.3071 |
165
+ | 0.1282 | 3.0825 | 18600 | 0.3053 |
166
+ | 0.1343 | 3.0908 | 18650 | 0.3073 |
167
+ | 0.1211 | 3.0991 | 18700 | 0.3069 |
168
+ | 0.1382 | 3.1074 | 18750 | 0.3058 |
169
+ | 0.1347 | 3.1157 | 18800 | 0.3064 |
170
+ | 0.1246 | 3.1240 | 18850 | 0.3087 |
171
+ | 0.1278 | 3.1323 | 18900 | 0.3075 |
172
+ | 0.1233 | 3.1405 | 18950 | 0.3083 |
173
+ | 0.1393 | 3.1488 | 19000 | 0.3069 |
174
+ | 0.124 | 3.1571 | 19050 | 0.3049 |
175
+ | 0.138 | 3.1654 | 19100 | 0.3064 |
176
+ | 0.1355 | 3.1737 | 19150 | 0.3073 |
177
+ | 0.1401 | 3.1820 | 19200 | 0.3084 |
178
+ | 0.1196 | 3.1903 | 19250 | 0.3107 |
179
+ | 0.1248 | 3.1985 | 19300 | 0.3088 |
180
+ | 0.1342 | 3.2068 | 19350 | 0.3077 |
181
+ | 0.1436 | 3.2151 | 19400 | 0.3062 |
182
+ | 0.1467 | 3.2234 | 19450 | 0.3079 |
183
+ | 0.1246 | 3.2317 | 19500 | 0.3095 |
184
+ | 0.1293 | 3.2400 | 19550 | 0.3068 |
185
+ | 0.1236 | 3.2483 | 19600 | 0.3100 |
186
+ | 0.1385 | 3.2565 | 19650 | 0.3074 |
187
+ | 0.1194 | 3.2648 | 19700 | 0.3068 |
188
+ | 0.1283 | 3.2731 | 19750 | 0.3077 |
189
+ | 0.1412 | 3.2814 | 19800 | 0.3064 |
190
+ | 0.1209 | 3.2897 | 19850 | 0.3070 |
191
+ | 0.145 | 3.2980 | 19900 | 0.3068 |
192
+ | 0.1416 | 3.3063 | 19950 | 0.3052 |
193
+ | 0.1138 | 3.3146 | 20000 | 0.3057 |
194
+ | 0.1296 | 3.3228 | 20050 | 0.3076 |
195
+ | 0.1419 | 3.3311 | 20100 | 0.3093 |
196
+ | 0.1243 | 3.3394 | 20150 | 0.3083 |
197
+ | 0.1206 | 3.3477 | 20200 | 0.3082 |
198
+ | 0.1279 | 3.3560 | 20250 | 0.3070 |
199
+ | 0.13 | 3.3643 | 20300 | 0.3070 |
200
+ | 0.1284 | 3.3726 | 20350 | 0.3064 |
201
+ | 0.1259 | 3.3808 | 20400 | 0.3074 |
202
+ | 0.1255 | 3.3891 | 20450 | 0.3052 |
203
+ | 0.1227 | 3.3974 | 20500 | 0.3062 |
204
+ | 0.1381 | 3.4057 | 20550 | 0.3066 |
205
+ | 0.1304 | 3.4140 | 20600 | 0.3065 |
206
+ | 0.1388 | 3.4223 | 20650 | 0.3071 |
207
+ | 0.1227 | 3.4306 | 20700 | 0.3065 |
208
+ | 0.1185 | 3.4388 | 20750 | 0.3062 |
209
+ | 0.1289 | 3.4471 | 20800 | 0.3083 |
210
+ | 0.1367 | 3.4554 | 20850 | 0.3089 |
211
+ | 0.1241 | 3.4637 | 20900 | 0.3070 |
212
+ | 0.1137 | 3.4720 | 20950 | 0.3092 |
213
+ | 0.1177 | 3.4803 | 21000 | 0.3080 |
214
+ | 0.1369 | 3.4886 | 21050 | 0.3073 |
215
+ | 0.126 | 3.4969 | 21100 | 0.3072 |
216
+ | 0.1174 | 3.5051 | 21150 | 0.3074 |
217
+ | 0.1235 | 3.5134 | 21200 | 0.3077 |
218
+ | 0.1297 | 3.5217 | 21250 | 0.3068 |
219
+ | 0.1377 | 3.5300 | 21300 | 0.3078 |
220
+ | 0.1215 | 3.5383 | 21350 | 0.3062 |
221
+ | 0.1358 | 3.5466 | 21400 | 0.3069 |
222
+ | 0.1123 | 3.5549 | 21450 | 0.3076 |
223
+ | 0.1358 | 3.5631 | 21500 | 0.3080 |
224
+ | 0.1396 | 3.5714 | 21550 | 0.3061 |
225
+ | 0.1216 | 3.5797 | 21600 | 0.3075 |
226
+ | 0.1162 | 3.5880 | 21650 | 0.3081 |
227
+ | 0.128 | 3.5963 | 21700 | 0.3061 |
228
+ | 0.1173 | 3.6046 | 21750 | 0.3070 |
229
+ | 0.125 | 3.6129 | 21800 | 0.3065 |
230
+ | 0.1262 | 3.6211 | 21850 | 0.3077 |
231
+ | 0.1249 | 3.6294 | 21900 | 0.3073 |
232
+ | 0.1212 | 3.6377 | 21950 | 0.3071 |
233
+ | 0.1188 | 3.6460 | 22000 | 0.3065 |
234
+ | 0.1241 | 3.6543 | 22050 | 0.3054 |
235
+ | 0.1302 | 3.6626 | 22100 | 0.3064 |
236
+ | 0.1329 | 3.6709 | 22150 | 0.3055 |
237
+ | 0.1276 | 3.6792 | 22200 | 0.3059 |
238
+ | 0.1336 | 3.6874 | 22250 | 0.3082 |
239
+ | 0.1173 | 3.6957 | 22300 | 0.3091 |
240
+ | 0.1205 | 3.7040 | 22350 | 0.3075 |
241
+ | 0.1196 | 3.7123 | 22400 | 0.3080 |
242
+ | 0.1128 | 3.7206 | 22450 | 0.3066 |
243
+ | 0.1188 | 3.7289 | 22500 | 0.3079 |
244
+ | 0.1154 | 3.7372 | 22550 | 0.3076 |
245
+ | 0.135 | 3.7454 | 22600 | 0.3076 |
246
+ | 0.1341 | 3.7537 | 22650 | 0.3067 |
247
+ | 0.1396 | 3.7620 | 22700 | 0.3062 |
248
+ | 0.1336 | 3.7703 | 22750 | 0.3059 |
249
+ | 0.1295 | 3.7786 | 22800 | 0.3066 |
250
+ | 0.1226 | 3.7869 | 22850 | 0.3068 |
251
+ | 0.1299 | 3.7952 | 22900 | 0.3067 |
252
+ | 0.1355 | 3.8034 | 22950 | 0.3068 |
253
+ | 0.1197 | 3.8117 | 23000 | 0.3069 |
254
+ | 0.1196 | 3.8200 | 23050 | 0.3075 |
255
+ | 0.1413 | 3.8283 | 23100 | 0.3066 |
256
+ | 0.1377 | 3.8366 | 23150 | 0.3064 |
257
+ | 0.1082 | 3.8449 | 23200 | 0.3074 |
258
+ | 0.129 | 3.8532 | 23250 | 0.3074 |
259
+ | 0.1279 | 3.8615 | 23300 | 0.3073 |
260
+ | 0.1296 | 3.8697 | 23350 | 0.3064 |
261
+ | 0.121 | 3.8780 | 23400 | 0.3072 |
262
+ | 0.1267 | 3.8863 | 23450 | 0.3069 |
263
+ | 0.1224 | 3.8946 | 23500 | 0.3071 |
264
+ | 0.1187 | 3.9029 | 23550 | 0.3073 |
265
+ | 0.1264 | 3.9112 | 23600 | 0.3074 |
266
+ | 0.1252 | 3.9195 | 23650 | 0.3073 |
267
+ | 0.1279 | 3.9277 | 23700 | 0.3072 |
268
+ | 0.1262 | 3.9360 | 23750 | 0.3070 |
269
+ | 0.1255 | 3.9443 | 23800 | 0.3068 |
270
+ | 0.1227 | 3.9526 | 23850 | 0.3066 |
271
+ | 0.1285 | 3.9609 | 23900 | 0.3068 |
272
+ | 0.1225 | 3.9692 | 23950 | 0.3068 |
273
+ | 0.1302 | 3.9775 | 24000 | 0.3066 |
274
+ | 0.1501 | 3.9857 | 24050 | 0.3065 |
275
+ | 0.126 | 3.9940 | 24100 | 0.3065 |
276
 
277
 
278
  ### Framework versions
 
280
  - PEFT 0.12.0
281
  - Transformers 4.44.2
282
  - Pytorch 2.4.0+cu121
283
+ - Datasets 3.0.0
284
  - Tokenizers 0.19.1
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  "task_type": "CAUSAL_LM",
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