--- license: other base_model: microsoft/phi-1_5 tags: - generated_from_trainer model-index: - name: phi-1_5-finetuned-SQL results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # phi-1_5-finetuned-SQL This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.5914 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 48000 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.3757 | 0.04 | 100 | 2.0747 | | 2.0269 | 0.08 | 200 | 1.9990 | | 1.9535 | 0.12 | 300 | 1.9450 | | 1.9136 | 0.16 | 400 | 1.9067 | | 1.892 | 0.2 | 500 | 1.8757 | | 1.8753 | 0.24 | 600 | 1.8574 | | 1.8507 | 0.28 | 700 | 1.8359 | | 1.8759 | 0.32 | 800 | 1.8167 | | 1.8166 | 0.36 | 900 | 1.8054 | | 1.8224 | 0.4 | 1000 | 1.7818 | | 1.7852 | 0.44 | 1100 | 1.7814 | | 1.8164 | 0.48 | 1200 | 1.7664 | | 1.7632 | 0.52 | 1300 | 1.7598 | | 1.8485 | 0.56 | 1400 | 1.7439 | | 1.7712 | 0.6 | 1500 | 1.7303 | | 1.7632 | 0.64 | 1600 | 1.7277 | | 1.7378 | 0.68 | 1700 | 1.7135 | | 1.7581 | 0.72 | 1800 | 1.7075 | | 1.7261 | 0.76 | 1900 | 1.6933 | | 1.7243 | 0.8 | 2000 | 1.6891 | | 1.7311 | 0.84 | 2100 | 1.6837 | | 1.7554 | 0.88 | 2200 | 1.6808 | | 1.7026 | 0.92 | 2300 | 1.6646 | | 1.7193 | 0.96 | 2400 | 1.6664 | | 1.6861 | 1.0 | 2500 | 1.6577 | | 1.68 | 1.04 | 2600 | 1.6470 | | 1.5931 | 1.08 | 2700 | 1.6425 | | 1.6655 | 1.12 | 2800 | 1.6352 | | 1.629 | 1.16 | 2900 | 1.6298 | | 1.6567 | 1.2 | 3000 | 1.6236 | | 1.6225 | 1.24 | 3100 | 1.6242 | | 1.6249 | 1.28 | 3200 | 1.6150 | | 1.6263 | 1.32 | 3300 | 1.6077 | | 1.6055 | 1.36 | 3400 | 1.6034 | | 1.6338 | 1.4 | 3500 | 1.5996 | | 1.6032 | 1.44 | 3600 | 1.5947 | | 1.6447 | 1.48 | 3700 | 1.5882 | | 1.6063 | 1.52 | 3800 | 1.5877 | | 1.5933 | 1.56 | 3900 | 1.5850 | | 1.6267 | 1.6 | 4000 | 1.5814 | | 1.6151 | 1.64 | 4100 | 1.5709 | | 1.6047 | 1.68 | 4200 | 1.5683 | | 1.5811 | 1.72 | 4300 | 1.5661 | | 1.5877 | 1.76 | 4400 | 1.5648 | | 1.6321 | 1.8 | 4500 | 1.5645 | | 1.5969 | 1.84 | 4600 | 1.5584 | | 1.5971 | 1.88 | 4700 | 1.5565 | | 1.622 | 1.92 | 4800 | 1.5547 | | 1.6265 | 1.96 | 4900 | 1.5496 | | 1.6145 | 2.0 | 5000 | 1.5466 | | 1.526 | 2.04 | 5100 | 1.5427 | | 1.5793 | 2.08 | 5200 | 1.5390 | | 1.5714 | 2.12 | 5300 | 1.5375 | | 1.5228 | 2.16 | 5400 | 1.5360 | | 1.5383 | 2.2 | 5500 | 1.5343 | | 1.5117 | 2.24 | 5600 | 1.5322 | | 1.5427 | 2.28 | 5700 | 1.5316 | | 1.4959 | 2.32 | 5800 | 1.5306 | | 1.5456 | 2.36 | 5900 | 1.5299 | | 1.5175 | 2.4 | 6000 | 1.5295 | | 1.5823 | 2.44 | 6100 | 1.5498 | | 1.5615 | 2.48 | 6200 | 1.5447 | | 1.5326 | 2.52 | 6300 | 1.5463 | | 1.567 | 2.56 | 6400 | 1.5450 | | 1.5243 | 2.6 | 6500 | 1.5456 | | 1.5214 | 2.64 | 6600 | 1.5383 | | 1.6086 | 2.68 | 6700 | 1.5393 | | 1.5391 | 2.72 | 6800 | 1.5285 | | 1.5224 | 2.76 | 6900 | 1.5318 | | 1.5567 | 2.8 | 7000 | 1.5292 | | 1.5525 | 2.84 | 7100 | 1.5207 | | 1.5399 | 2.88 | 7200 | 1.5135 | | 1.5399 | 2.92 | 7300 | 1.5104 | | 1.5765 | 2.96 | 7400 | 1.5085 | | 1.556 | 3.0 | 7500 | 1.5042 | | 1.4977 | 3.04 | 7600 | 1.4997 | | 1.4818 | 3.08 | 7700 | 1.4930 | | 1.4912 | 3.12 | 7800 | 1.4908 | | 1.517 | 3.16 | 7900 | 1.4933 | | 1.4971 | 3.2 | 8000 | 1.4857 | | 1.4827 | 3.24 | 8100 | 1.4805 | | 1.5096 | 3.28 | 8200 | 1.4804 | | 1.4788 | 3.32 | 8300 | 1.4756 | | 1.457 | 3.36 | 8400 | 1.4728 | | 1.4819 | 3.4 | 8500 | 1.4717 | | 1.5241 | 3.44 | 8600 | 1.4678 | | 1.5081 | 3.48 | 8700 | 1.4676 | | 1.5173 | 3.52 | 8800 | 1.4657 | | 1.4765 | 3.56 | 8900 | 1.4643 | | 1.4691 | 3.6 | 9000 | 1.4603 | | 1.5034 | 3.64 | 9100 | 1.4577 | | 1.4997 | 3.68 | 9200 | 1.4552 | | 1.4849 | 3.72 | 9300 | 1.4504 | | 1.5144 | 3.76 | 9400 | 1.4518 | | 1.4972 | 3.8 | 9500 | 1.4469 | | 1.4695 | 3.84 | 9600 | 1.4474 | | 1.5088 | 3.88 | 9700 | 1.4468 | | 1.4772 | 3.92 | 9800 | 1.4418 | | 1.5207 | 3.96 | 9900 | 1.4390 | | 1.5088 | 4.0 | 10000 | 1.4378 | | 1.4915 | 4.04 | 10100 | 1.4324 | | 1.4356 | 4.08 | 10200 | 1.4305 | | 1.4388 | 4.12 | 10300 | 1.4268 | | 1.4004 | 4.16 | 10400 | 1.4251 | | 1.3909 | 4.2 | 10500 | 1.4225 | | 1.4284 | 4.24 | 10600 | 1.4218 | | 1.4422 | 4.28 | 10700 | 1.4213 | | 1.4301 | 4.32 | 10800 | 1.4198 | | 1.4309 | 4.36 | 10900 | 1.4174 | | 1.415 | 4.4 | 11000 | 1.4147 | | 1.4697 | 4.44 | 11100 | 1.4136 | | 1.4241 | 4.48 | 11200 | 1.4123 | | 1.4416 | 4.52 | 11300 | 1.4100 | | 1.4229 | 4.56 | 11400 | 1.4094 | | 1.4498 | 4.6 | 11500 | 1.4091 | | 1.4023 | 4.64 | 11600 | 1.4083 | | 1.4197 | 4.68 | 11700 | 1.4075 | | 1.4165 | 4.72 | 11800 | 1.4070 | | 1.4103 | 4.76 | 11900 | 1.4067 | | 1.4214 | 4.8 | 12000 | 1.4066 | | 1.4223 | 9.68 | 12100 | 1.4162 | | 1.4471 | 9.76 | 12200 | 1.4210 | | 1.4165 | 9.84 | 12300 | 1.4154 | | 1.4088 | 9.92 | 12400 | 1.4105 | | 1.4057 | 10.0 | 12500 | 1.4100 | | 1.3778 | 10.08 | 12600 | 1.4034 | | 1.4081 | 10.16 | 12700 | 1.4055 | | 1.4127 | 10.24 | 12800 | 1.4001 | | 1.4282 | 10.32 | 12900 | 1.3924 | | 1.4069 | 10.4 | 13000 | 1.3909 | | 1.4097 | 10.48 | 13100 | 1.3885 | | 1.4173 | 10.56 | 13200 | 1.3824 | | 1.4282 | 10.64 | 13300 | 1.3798 | | 1.4266 | 10.72 | 13400 | 1.3778 | | 1.4205 | 10.8 | 13500 | 1.3760 | | 1.4347 | 10.88 | 13600 | 1.3730 | | 1.4088 | 10.96 | 13700 | 1.3659 | | 1.3859 | 11.04 | 13800 | 1.3605 | | 1.3711 | 11.12 | 13900 | 1.3572 | | 1.3896 | 11.2 | 14000 | 1.3550 | | 1.343 | 11.28 | 14100 | 1.3510 | | 1.3866 | 11.36 | 14200 | 1.3485 | | 1.3603 | 11.44 | 14300 | 1.3468 | | 1.3881 | 11.52 | 14400 | 1.3448 | | 1.3841 | 11.6 | 14500 | 1.3422 | | 1.358 | 11.68 | 14600 | 1.3379 | | 1.3704 | 11.76 | 14700 | 1.3352 | | 1.3656 | 11.84 | 14800 | 1.3350 | | 1.367 | 11.92 | 14900 | 1.3299 | | 1.3765 | 12.0 | 15000 | 1.3302 | | 1.32 | 12.08 | 15100 | 1.3240 | | 1.343 | 12.16 | 15200 | 1.3186 | | 1.3254 | 12.24 | 15300 | 1.3159 | | 1.3433 | 12.32 | 15400 | 1.3134 | | 1.3347 | 12.4 | 15500 | 1.3113 | | 1.3304 | 12.48 | 15600 | 1.3110 | | 1.3235 | 12.56 | 15700 | 1.3106 | | 1.3099 | 12.64 | 15800 | 1.3056 | | 1.3176 | 12.72 | 15900 | 1.3027 | | 1.3613 | 12.8 | 16000 | 1.3057 | | 1.3238 | 12.88 | 16100 | 1.3006 | | 1.354 | 12.96 | 16200 | 1.3003 | | 1.3324 | 13.04 | 16300 | 1.2967 | | 1.322 | 13.12 | 16400 | 1.2945 | | 1.3029 | 13.2 | 16500 | 1.2898 | | 1.317 | 13.28 | 16600 | 1.2892 | | 1.2982 | 13.36 | 16700 | 1.2882 | | 1.3092 | 13.44 | 16800 | 1.2878 | | 1.3161 | 13.52 | 16900 | 1.2866 | | 1.2895 | 13.6 | 17000 | 1.2844 | | 1.28 | 13.68 | 17100 | 1.2834 | | 1.2849 | 13.76 | 17200 | 1.2822 | | 1.3136 | 13.84 | 17300 | 1.2828 | | 1.2938 | 13.92 | 17400 | 1.2810 | | 1.2994 | 14.0 | 17500 | 1.2803 | | 1.3158 | 14.08 | 17600 | 1.2788 | | 1.2783 | 14.16 | 17700 | 1.2779 | | 1.2811 | 14.24 | 17800 | 1.2774 | | 1.2824 | 14.32 | 17900 | 1.2771 | | 1.2881 | 14.4 | 18000 | 1.2770 | | 1.2971 | 14.48 | 18100 | 1.2880 | | 1.2878 | 14.56 | 18200 | 1.2883 | | 1.3081 | 14.64 | 18300 | 1.2812 | | 1.2949 | 14.72 | 18400 | 1.2812 | | 1.3153 | 14.8 | 18500 | 1.2827 | | 1.3316 | 14.88 | 18600 | 1.2777 | | 1.3225 | 14.96 | 18700 | 1.2789 | | 1.3022 | 15.04 | 18800 | 1.2719 | | 1.2773 | 15.12 | 18900 | 1.2685 | | 1.2787 | 15.2 | 19000 | 1.2674 | | 1.2876 | 15.28 | 19100 | 1.2644 | | 1.2801 | 15.36 | 19200 | 1.2630 | | 1.3197 | 15.44 | 19300 | 1.2615 | | 1.2968 | 15.52 | 19400 | 1.2572 | | 1.2992 | 15.6 | 19500 | 1.2581 | | 1.2739 | 15.68 | 19600 | 1.2511 | | 1.2925 | 15.76 | 19700 | 1.2485 | | 1.2831 | 15.84 | 19800 | 1.2456 | | 1.3055 | 15.92 | 19900 | 1.2415 | | 1.2883 | 16.0 | 20000 | 1.2432 | | 1.2378 | 16.08 | 20100 | 1.2358 | | 1.2618 | 16.16 | 20200 | 1.2354 | | 1.2475 | 16.24 | 20300 | 1.2294 | | 1.2534 | 16.32 | 20400 | 1.2267 | | 1.2362 | 16.4 | 20500 | 1.2249 | | 1.2442 | 16.48 | 20600 | 1.2245 | | 1.2727 | 16.56 | 20700 | 1.2209 | | 1.2645 | 16.64 | 20800 | 1.2192 | | 1.2535 | 16.72 | 20900 | 1.2158 | | 1.2673 | 16.8 | 21000 | 1.2131 | | 1.2693 | 16.88 | 21100 | 1.2133 | | 1.2419 | 16.96 | 21200 | 1.2104 | | 1.2165 | 17.04 | 21300 | 1.2064 | | 1.2184 | 17.12 | 21400 | 1.2047 | | 1.2195 | 17.2 | 21500 | 1.2036 | | 1.2126 | 17.28 | 21600 | 1.2024 | | 1.2048 | 17.36 | 21700 | 1.1989 | | 1.2158 | 17.44 | 21800 | 1.1991 | | 1.2372 | 17.52 | 21900 | 1.1966 | | 1.2502 | 17.6 | 22000 | 1.1964 | | 1.23 | 17.68 | 22100 | 1.1924 | | 1.1967 | 17.76 | 22200 | 1.1913 | | 1.2021 | 17.84 | 22300 | 1.1896 | | 1.2323 | 17.92 | 22400 | 1.1904 | | 1.2276 | 18.0 | 22500 | 1.1872 | | 1.2072 | 18.08 | 22600 | 1.1851 | | 1.157 | 18.16 | 22700 | 1.1828 | | 1.1805 | 18.24 | 22800 | 1.1827 | | 1.1812 | 18.32 | 22900 | 1.1812 | | 1.1993 | 18.4 | 23000 | 1.1800 | | 1.1887 | 18.48 | 23100 | 1.1803 | | 1.194 | 18.56 | 23200 | 1.1779 | | 1.2097 | 18.64 | 23300 | 1.1777 | | 1.2049 | 18.72 | 23400 | 1.1769 | | 1.2002 | 18.8 | 23500 | 1.1758 | | 1.2178 | 18.88 | 23600 | 1.1755 | | 1.1969 | 18.96 | 23700 | 1.1745 | | 1.198 | 19.04 | 23800 | 1.1741 | | 1.1919 | 19.12 | 23900 | 1.1736 | | 1.149 | 19.2 | 24000 | 1.1735 | | 1.2083 | 19.28 | 24100 | 1.2311 | | 1.2362 | 19.36 | 24200 | 1.2287 | | 1.2758 | 19.44 | 24300 | 1.2308 | | 1.2554 | 19.52 | 24400 | 1.2333 | | 1.2907 | 19.6 | 24500 | 1.2203 | | 1.2535 | 19.68 | 24600 | 1.2216 | | 1.2817 | 19.76 | 24700 | 1.2221 | | 1.2834 | 19.84 | 24800 | 1.2164 | | 1.2752 | 19.92 | 24900 | 1.2123 | | 1.2982 | 20.0 | 25000 | 1.2207 | | 1.2229 | 20.08 | 25100 | 1.1983 | | 1.2081 | 20.16 | 25200 | 1.1894 | | 1.2322 | 20.24 | 25300 | 1.1889 | | 1.248 | 20.32 | 25400 | 1.1880 | | 1.2237 | 20.4 | 25500 | 1.1826 | | 1.237 | 20.48 | 25600 | 1.1731 | | 1.23 | 20.56 | 25700 | 1.1791 | | 1.2618 | 20.64 | 25800 | 1.1745 | | 1.2452 | 20.72 | 25900 | 1.1707 | | 1.2475 | 20.8 | 26000 | 1.1642 | | 1.257 | 20.88 | 26100 | 1.1740 | | 1.2378 | 20.96 | 26200 | 1.1652 | | 1.2055 | 21.04 | 26300 | 1.1479 | | 1.1479 | 21.12 | 26400 | 1.1450 | | 1.1799 | 21.2 | 26500 | 1.1454 | | 1.1724 | 21.28 | 26600 | 1.1372 | | 1.1852 | 21.36 | 26700 | 1.1409 | | 1.1842 | 21.44 | 26800 | 1.1322 | | 1.1843 | 21.52 | 26900 | 1.1292 | | 1.1875 | 21.6 | 27000 | 1.1245 | | 1.1904 | 21.68 | 27100 | 1.1212 | | 1.1814 | 21.76 | 27200 | 1.1171 | | 1.1906 | 21.84 | 27300 | 1.1105 | | 1.2078 | 21.92 | 27400 | 1.1055 | | 1.2157 | 22.0 | 27500 | 1.1058 | | 1.1111 | 22.08 | 27600 | 1.0881 | | 1.109 | 22.16 | 27700 | 1.0827 | | 1.1118 | 22.24 | 27800 | 1.0780 | | 1.1279 | 22.32 | 27900 | 1.0749 | | 1.1435 | 22.4 | 28000 | 1.0727 | | 1.1161 | 22.48 | 28100 | 1.0713 | | 1.1295 | 22.56 | 28200 | 1.0717 | | 1.1439 | 22.64 | 28300 | 1.0660 | | 1.1343 | 22.72 | 28400 | 1.0661 | | 1.1564 | 22.8 | 28500 | 1.0557 | | 1.1542 | 22.88 | 28600 | 1.0540 | | 1.1234 | 22.96 | 28700 | 1.0543 | | 1.1001 | 23.04 | 28800 | 1.0453 | | 1.045 | 23.12 | 28900 | 1.0357 | | 1.0757 | 23.2 | 29000 | 1.0308 | | 1.083 | 23.28 | 29100 | 1.0259 | | 1.0547 | 23.36 | 29200 | 1.0241 | | 1.091 | 23.44 | 29300 | 1.0265 | | 1.074 | 23.52 | 29400 | 1.0207 | | 1.1001 | 23.6 | 29500 | 1.0191 | | 1.0884 | 23.68 | 29600 | 1.0205 | | 1.0943 | 23.76 | 29700 | 1.0172 | | 1.0869 | 23.84 | 29800 | 1.0121 | | 1.0925 | 23.92 | 29900 | 1.0094 | | 1.0999 | 24.0 | 30000 | 1.0003 | | 1.0 | 24.08 | 30100 | 0.9898 | | 1.0128 | 24.16 | 30200 | 0.9874 | | 1.0056 | 24.24 | 30300 | 0.9833 | | 1.0303 | 24.32 | 30400 | 0.9807 | | 1.0201 | 24.4 | 30500 | 0.9731 | | 1.0371 | 24.48 | 30600 | 0.9743 | | 1.0439 | 24.56 | 30700 | 0.9666 | | 1.0424 | 24.64 | 30800 | 0.9670 | | 1.0281 | 24.72 | 30900 | 0.9662 | | 1.0449 | 24.8 | 31000 | 0.9595 | | 1.0556 | 24.88 | 31100 | 0.9540 | | 1.0589 | 24.96 | 31200 | 0.9552 | | 1.0032 | 25.04 | 31300 | 0.9438 | | 0.9534 | 25.12 | 31400 | 0.9400 | | 0.9932 | 25.2 | 31500 | 0.9360 | | 0.9863 | 25.28 | 31600 | 0.9354 | | 0.9759 | 25.36 | 31700 | 0.9275 | | 0.9761 | 25.44 | 31800 | 0.9310 | | 0.9719 | 25.52 | 31900 | 0.9299 | | 0.9702 | 25.6 | 32000 | 0.9269 | | 1.0005 | 25.68 | 32100 | 0.9217 | | 0.9975 | 25.76 | 32200 | 0.9161 | | 0.9935 | 25.84 | 32300 | 0.9134 | | 1.0178 | 25.92 | 32400 | 0.9145 | | 1.011 | 26.0 | 32500 | 0.9098 | | 0.9145 | 26.08 | 32600 | 0.8993 | | 0.931 | 26.16 | 32700 | 0.8957 | | 0.9326 | 26.24 | 32800 | 0.8905 | | 0.9421 | 26.32 | 32900 | 0.8898 | | 0.949 | 26.4 | 33000 | 0.8879 | | 0.9224 | 26.48 | 33100 | 0.8838 | | 0.952 | 26.56 | 33200 | 0.8818 | | 0.9431 | 26.64 | 33300 | 0.8741 | | 0.9463 | 26.72 | 33400 | 0.8747 | | 0.9456 | 26.8 | 33500 | 0.8742 | | 0.9533 | 26.88 | 33600 | 0.8734 | | 0.9643 | 26.96 | 33700 | 0.8643 | | 0.9037 | 27.04 | 33800 | 0.8546 | | 0.8834 | 27.12 | 33900 | 0.8552 | | 0.9008 | 27.2 | 34000 | 0.8519 | | 0.8851 | 27.28 | 34100 | 0.8498 | | 0.8812 | 27.36 | 34200 | 0.8485 | | 0.9006 | 27.44 | 34300 | 0.8435 | | 0.8893 | 27.52 | 34400 | 0.8413 | | 0.8949 | 27.6 | 34500 | 0.8372 | | 0.908 | 27.68 | 34600 | 0.8349 | | 0.9121 | 27.76 | 34700 | 0.8312 | | 0.9066 | 27.84 | 34800 | 0.8285 | | 0.9146 | 27.92 | 34900 | 0.8291 | | 0.9217 | 28.0 | 35000 | 0.8280 | | 0.8282 | 28.08 | 35100 | 0.8158 | | 0.8346 | 28.16 | 35200 | 0.8131 | | 0.8503 | 28.24 | 35300 | 0.8133 | | 0.8431 | 28.32 | 35400 | 0.8090 | | 0.8479 | 28.4 | 35500 | 0.8087 | | 0.8604 | 28.48 | 35600 | 0.8062 | | 0.8559 | 28.56 | 35700 | 0.8028 | | 0.8644 | 28.64 | 35800 | 0.7994 | | 0.8761 | 28.72 | 35900 | 0.7983 | | 0.8821 | 28.8 | 36000 | 0.7926 | | 0.8712 | 28.88 | 36100 | 0.7918 | | 0.8725 | 28.96 | 36200 | 0.7903 | | 0.834 | 29.04 | 36300 | 0.7816 | | 0.8119 | 29.12 | 36400 | 0.7739 | | 0.8063 | 29.2 | 36500 | 0.7716 | | 0.8097 | 29.28 | 36600 | 0.7719 | | 0.8177 | 29.36 | 36700 | 0.7727 | | 0.8098 | 29.44 | 36800 | 0.7683 | | 0.8103 | 29.52 | 36900 | 0.7682 | | 0.8251 | 29.6 | 37000 | 0.7634 | | 0.8382 | 29.68 | 37100 | 0.7635 | | 0.8193 | 29.76 | 37200 | 0.7609 | | 0.85 | 29.84 | 37300 | 0.7631 | | 0.8371 | 29.92 | 37400 | 0.7546 | | 0.8304 | 30.0 | 37500 | 0.7508 | | 0.7676 | 30.08 | 37600 | 0.7474 | | 0.7782 | 30.16 | 37700 | 0.7466 | | 0.7754 | 30.24 | 37800 | 0.7450 | | 0.7774 | 30.32 | 37900 | 0.7406 | | 0.7728 | 30.4 | 38000 | 0.7390 | | 0.7812 | 30.48 | 38100 | 0.7361 | | 0.79 | 30.56 | 38200 | 0.7339 | | 0.8072 | 30.64 | 38300 | 0.7323 | | 0.8051 | 30.72 | 38400 | 0.7308 | | 0.7895 | 30.8 | 38500 | 0.7268 | | 0.7932 | 30.88 | 38600 | 0.7251 | | 0.7939 | 30.96 | 38700 | 0.7218 | | 0.7643 | 31.04 | 38800 | 0.7168 | | 0.7378 | 31.12 | 38900 | 0.7143 | | 0.7498 | 31.2 | 39000 | 0.7128 | | 0.7448 | 31.28 | 39100 | 0.7109 | | 0.749 | 31.36 | 39200 | 0.7092 | | 0.7558 | 31.44 | 39300 | 0.7080 | | 0.7622 | 31.52 | 39400 | 0.7040 | | 0.7572 | 31.6 | 39500 | 0.7047 | | 0.7578 | 31.68 | 39600 | 0.6997 | | 0.7567 | 31.76 | 39700 | 0.6968 | | 0.758 | 31.84 | 39800 | 0.6938 | | 0.7645 | 31.92 | 39900 | 0.6935 | | 0.7728 | 32.0 | 40000 | 0.6932 | | 0.7008 | 32.08 | 40100 | 0.6888 | | 0.7172 | 32.16 | 40200 | 0.6898 | | 0.6954 | 32.24 | 40300 | 0.6858 | | 0.7251 | 32.32 | 40400 | 0.6838 | | 0.7229 | 32.4 | 40500 | 0.6804 | | 0.7263 | 32.48 | 40600 | 0.6781 | | 0.7221 | 32.56 | 40700 | 0.6767 | | 0.723 | 32.64 | 40800 | 0.6760 | | 0.7396 | 32.72 | 40900 | 0.6747 | | 0.7349 | 32.8 | 41000 | 0.6710 | | 0.7427 | 32.88 | 41100 | 0.6713 | | 0.7479 | 32.96 | 41200 | 0.6655 | | 0.7212 | 33.04 | 41300 | 0.6650 | | 0.6975 | 33.12 | 41400 | 0.6626 | | 0.686 | 33.2 | 41500 | 0.6599 | | 0.6874 | 33.28 | 41600 | 0.6584 | | 0.695 | 33.36 | 41700 | 0.6569 | | 0.6854 | 33.44 | 41800 | 0.6561 | | 0.6917 | 33.52 | 41900 | 0.6540 | | 0.6994 | 33.6 | 42000 | 0.6527 | | 0.6939 | 33.68 | 42100 | 0.6540 | | 0.7118 | 33.76 | 42200 | 0.6487 | | 0.715 | 33.84 | 42300 | 0.6487 | | 0.7164 | 33.92 | 42400 | 0.6452 | | 0.7116 | 34.0 | 42500 | 0.6450 | | 0.6701 | 34.08 | 42600 | 0.6421 | | 0.66 | 34.16 | 42700 | 0.6412 | | 0.6709 | 34.24 | 42800 | 0.6381 | | 0.6708 | 34.32 | 42900 | 0.6382 | | 0.6874 | 34.4 | 43000 | 0.6376 | | 0.6838 | 34.48 | 43100 | 0.6350 | | 0.6721 | 34.56 | 43200 | 0.6340 | | 0.6782 | 34.64 | 43300 | 0.6326 | | 0.6831 | 34.72 | 43400 | 0.6300 | | 0.6897 | 34.8 | 43500 | 0.6304 | | 0.679 | 34.88 | 43600 | 0.6281 | | 0.6678 | 34.96 | 43700 | 0.6260 | | 0.6705 | 35.04 | 43800 | 0.6251 | | 0.6443 | 35.12 | 43900 | 0.6226 | | 0.6479 | 35.2 | 44000 | 0.6224 | | 0.6434 | 35.28 | 44100 | 0.6199 | | 0.6461 | 35.36 | 44200 | 0.6196 | | 0.6516 | 35.44 | 44300 | 0.6181 | | 0.6516 | 35.52 | 44400 | 0.6190 | | 0.6667 | 35.6 | 44500 | 0.6171 | | 0.6583 | 35.68 | 44600 | 0.6153 | | 0.664 | 35.76 | 44700 | 0.6143 | | 0.6548 | 35.84 | 44800 | 0.6135 | | 0.6713 | 35.92 | 44900 | 0.6118 | | 0.6681 | 36.0 | 45000 | 0.6110 | | 0.6315 | 36.08 | 45100 | 0.6079 | | 0.6451 | 36.16 | 45200 | 0.6084 | | 0.6396 | 36.24 | 45300 | 0.6082 | | 0.6291 | 36.32 | 45400 | 0.6072 | | 0.6391 | 36.4 | 45500 | 0.6060 | | 0.6381 | 36.48 | 45600 | 0.6052 | | 0.6417 | 36.56 | 45700 | 0.6041 | | 0.6347 | 36.64 | 45800 | 0.6036 | | 0.6436 | 36.72 | 45900 | 0.6022 | | 0.6352 | 36.8 | 46000 | 0.6012 | | 0.6515 | 36.88 | 46100 | 0.6005 | | 0.63 | 36.96 | 46200 | 0.5992 | | 0.6317 | 37.04 | 46300 | 0.5979 | | 0.6313 | 37.12 | 46400 | 0.5977 | | 0.6226 | 37.2 | 46500 | 0.5971 | | 0.6155 | 37.28 | 46600 | 0.5967 | | 0.6248 | 37.36 | 46700 | 0.5961 | | 0.6329 | 37.44 | 46800 | 0.5958 | | 0.6249 | 37.52 | 46900 | 0.5953 | | 0.6264 | 37.6 | 47000 | 0.5946 | | 0.6271 | 37.68 | 47100 | 0.5941 | | 0.6281 | 37.76 | 47200 | 0.5936 | | 0.6222 | 37.84 | 47300 | 0.5931 | | 0.6133 | 37.92 | 47400 | 0.5925 | | 0.6298 | 38.0 | 47500 | 0.5920 | | 0.6123 | 38.08 | 47600 | 0.5918 | | 0.6073 | 38.16 | 47700 | 0.5918 | | 0.6129 | 38.24 | 47800 | 0.5915 | | 0.6336 | 38.32 | 47900 | 0.5914 | | 0.6094 | 38.4 | 48000 | 0.5914 | ### Framework versions - Transformers 4.34.1 - Pytorch 2.1.0+cu118 - Datasets 2.14.6 - Tokenizers 0.14.1