stablelm-3b-finance
This model is a fine-tuned version of stabilityai/stablelm-base-alpha-3b on the financial_phrasebank dataset. It achieves the following results on the evaluation set:
- Loss: 4.2656
- Accuracy: 0.4081
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
37.5127 | 0.01 | 20 | 19.6094 | 0.2624 |
19.1885 | 0.01 | 40 | 64.3125 | 0.0816 |
14.5964 | 0.02 | 60 | 43.4688 | 0.4143 |
5.8184 | 0.02 | 80 | 54.9688 | 0.4143 |
25.0629 | 0.03 | 100 | 62.25 | 0.0816 |
23.0213 | 0.03 | 120 | 18.4062 | 0.4143 |
6.4438 | 0.04 | 140 | 9.4922 | 0.4143 |
10.3302 | 0.04 | 160 | 25.0781 | 0.4143 |
5.5922 | 0.05 | 180 | 29.0469 | 0.4143 |
2.9618 | 0.05 | 200 | 14.5078 | 0.4143 |
4.551 | 0.06 | 220 | 18.5156 | 0.4112 |
4.5168 | 0.06 | 240 | 29.5156 | 0.4143 |
3.0656 | 0.07 | 260 | 27.5469 | 0.4143 |
6.9075 | 0.07 | 280 | 40.375 | 0.4143 |
6.09 | 0.08 | 300 | 28.4688 | 0.4143 |
2.254 | 0.08 | 320 | 35.375 | 0.4143 |
8.4998 | 0.09 | 340 | 31.4375 | 0.4143 |
8.3815 | 0.09 | 360 | 28.2188 | 0.4143 |
7.9155 | 0.1 | 380 | 12.0625 | 0.0816 |
2.0166 | 0.1 | 400 | 9.8672 | 0.3895 |
5.1889 | 0.11 | 420 | 11.0234 | 0.4132 |
3.844 | 0.11 | 440 | 10.4844 | 0.4132 |
3.7982 | 0.12 | 460 | 13.4688 | 0.3864 |
1.5386 | 0.12 | 480 | 34.3125 | 0.4143 |
4.0882 | 0.13 | 500 | 33.875 | 0.4143 |
6.1486 | 0.13 | 520 | 11.6406 | 0.0816 |
4.0523 | 0.14 | 540 | 9.1328 | 0.3988 |
2.5312 | 0.14 | 560 | 11.7969 | 0.4143 |
6.0803 | 0.15 | 580 | 15.6016 | 0.4143 |
5.4927 | 0.15 | 600 | 8.8828 | 0.0816 |
3.9641 | 0.16 | 620 | 9.3672 | 0.4132 |
4.2708 | 0.17 | 640 | 4.7852 | 0.4143 |
4.4524 | 0.17 | 660 | 6.5312 | 0.4122 |
6.081 | 0.18 | 680 | 34.3125 | 0.4112 |
7.9303 | 0.18 | 700 | 45.9375 | 0.0868 |
1.9309 | 0.19 | 720 | 44.6562 | 0.4143 |
10.341 | 0.19 | 740 | 20.5312 | 0.4143 |
6.2898 | 0.2 | 760 | 9.4219 | 0.4143 |
3.6457 | 0.2 | 780 | 7.6758 | 0.4143 |
4.6135 | 0.21 | 800 | 9.6875 | 0.4143 |
3.2253 | 0.21 | 820 | 9.5078 | 0.0888 |
3.7653 | 0.22 | 840 | 7.4453 | 0.1178 |
5.2183 | 0.22 | 860 | 10.2422 | 0.0837 |
7.6287 | 0.23 | 880 | 4.2344 | 0.4143 |
2.8624 | 0.23 | 900 | 4.2227 | 0.4143 |
5.1134 | 0.24 | 920 | 7.375 | 0.1674 |
7.5312 | 0.24 | 940 | 3.6641 | 0.0888 |
2.8719 | 0.25 | 960 | 7.7148 | 0.4143 |
1.5177 | 0.25 | 980 | 6.3320 | 0.4143 |
3.0631 | 0.26 | 1000 | 2.9297 | 0.4143 |
5.4135 | 0.26 | 1020 | 1.9219 | 0.4143 |
4.9254 | 0.27 | 1040 | 17.8281 | 0.4143 |
1.6855 | 0.27 | 1060 | 17.9844 | 0.4143 |
3.595 | 0.28 | 1080 | 13.2422 | 0.4143 |
4.9504 | 0.28 | 1100 | 3.6074 | 0.4143 |
1.5584 | 0.29 | 1120 | 13.0469 | 0.4143 |
5.144 | 0.29 | 1140 | 17.8594 | 0.0816 |
4.8497 | 0.3 | 1160 | 11.6953 | 0.4143 |
3.4161 | 0.3 | 1180 | 20.6562 | 0.0816 |
6.7763 | 0.31 | 1200 | 15.1406 | 0.4143 |
2.8709 | 0.32 | 1220 | 8.9922 | 0.4143 |
4.1128 | 0.32 | 1240 | 9.3984 | 0.4143 |
1.4908 | 0.33 | 1260 | 12.2891 | 0.4143 |
3.2886 | 0.33 | 1280 | 14.5703 | 0.0816 |
6.8233 | 0.34 | 1300 | 2.2734 | 0.4143 |
2.6123 | 0.34 | 1320 | 7.3281 | 0.4143 |
3.4882 | 0.35 | 1340 | 4.6992 | 0.0826 |
2.5896 | 0.35 | 1360 | 11.9688 | 0.4143 |
6.352 | 0.36 | 1380 | 4.4727 | 0.4101 |
2.2885 | 0.36 | 1400 | 5.7578 | 0.4050 |
4.2021 | 0.37 | 1420 | 7.1172 | 0.4143 |
3.032 | 0.37 | 1440 | 2.7988 | 0.4132 |
1.428 | 0.38 | 1460 | 17.5938 | 0.4143 |
2.8068 | 0.38 | 1480 | 15.9141 | 0.4143 |
7.0014 | 0.39 | 1500 | 4.9883 | 0.1033 |
3.2138 | 0.39 | 1520 | 9.625 | 0.4112 |
3.0001 | 0.4 | 1540 | 6.2305 | 0.3833 |
2.3248 | 0.4 | 1560 | 5.5547 | 0.3760 |
2.7573 | 0.41 | 1580 | 9.0859 | 0.4143 |
4.8701 | 0.41 | 1600 | 9.1641 | 0.25 |
6.5986 | 0.42 | 1620 | 6.5977 | 0.4143 |
5.4379 | 0.42 | 1640 | 8.8203 | 0.0826 |
4.7142 | 0.43 | 1660 | 6.9219 | 0.4143 |
3.1696 | 0.43 | 1680 | 3.9941 | 0.4163 |
2.5254 | 0.44 | 1700 | 5.7461 | 0.4143 |
1.9537 | 0.44 | 1720 | 3.7441 | 0.4143 |
2.4895 | 0.45 | 1740 | 6.8789 | 0.4143 |
2.9386 | 0.45 | 1760 | 6.5625 | 0.4205 |
4.1816 | 0.46 | 1780 | 2.7070 | 0.4163 |
5.2298 | 0.46 | 1800 | 6.3828 | 0.3967 |
1.3144 | 0.47 | 1820 | 8.3984 | 0.4143 |
2.62 | 0.48 | 1840 | 7.8359 | 0.4153 |
2.3815 | 0.48 | 1860 | 6.9297 | 0.3595 |
1.2381 | 0.49 | 1880 | 7.125 | 0.3595 |
1.6726 | 0.49 | 1900 | 8.7109 | 0.4132 |
2.0483 | 0.5 | 1920 | 8.3047 | 0.4101 |
3.6178 | 0.5 | 1940 | 8.1719 | 0.3574 |
3.0994 | 0.51 | 1960 | 11.5625 | 0.2572 |
2.0991 | 0.51 | 1980 | 15.375 | 0.0816 |
4.4138 | 0.52 | 2000 | 16.6406 | 0.4143 |
4.6666 | 0.52 | 2020 | 3.7168 | 0.4050 |
1.8319 | 0.53 | 2040 | 5.375 | 0.4112 |
2.2184 | 0.53 | 2060 | 5.3398 | 0.3337 |
2.5527 | 0.54 | 2080 | 4.2188 | 0.4112 |
2.2984 | 0.54 | 2100 | 6.875 | 0.4122 |
2.2836 | 0.55 | 2120 | 6.1836 | 0.4101 |
3.0373 | 0.55 | 2140 | 5.7930 | 0.4019 |
2.2946 | 0.56 | 2160 | 4.7891 | 0.4091 |
1.4506 | 0.56 | 2180 | 13.2891 | 0.3936 |
1.7211 | 0.57 | 2200 | 11.1172 | 0.4112 |
2.4151 | 0.57 | 2220 | 8.2969 | 0.3905 |
1.989 | 0.58 | 2240 | 8.2812 | 0.4143 |
0.6184 | 0.58 | 2260 | 8.1562 | 0.3936 |
2.8995 | 0.59 | 2280 | 9.8203 | 0.4174 |
1.8413 | 0.59 | 2300 | 8.0781 | 0.3626 |
1.6959 | 0.6 | 2320 | 8.5703 | 0.3233 |
2.7333 | 0.6 | 2340 | 4.8984 | 0.4163 |
1.7187 | 0.61 | 2360 | 6.5859 | 0.3957 |
2.8341 | 0.61 | 2380 | 5.6133 | 0.3926 |
1.8751 | 0.62 | 2400 | 5.1445 | 0.3399 |
2.0391 | 0.62 | 2420 | 5.3633 | 0.4163 |
1.1569 | 0.63 | 2440 | 6.4570 | 0.2975 |
1.8955 | 0.64 | 2460 | 4.6367 | 0.4153 |
3.3986 | 0.64 | 2480 | 4.875 | 0.4153 |
0.9939 | 0.65 | 2500 | 4.4492 | 0.4184 |
3.1304 | 0.65 | 2520 | 3.9414 | 0.4081 |
1.7888 | 0.66 | 2540 | 5.5898 | 0.4081 |
2.1101 | 0.66 | 2560 | 6.3242 | 0.3017 |
1.7795 | 0.67 | 2580 | 6.1992 | 0.3957 |
0.565 | 0.67 | 2600 | 7.1016 | 0.4205 |
2.1791 | 0.68 | 2620 | 4.4805 | 0.4215 |
1.8351 | 0.68 | 2640 | 6.9727 | 0.3667 |
2.0573 | 0.69 | 2660 | 7.6797 | 0.4174 |
2.077 | 0.69 | 2680 | 4.3242 | 0.4029 |
1.3436 | 0.7 | 2700 | 5.7227 | 0.4153 |
2.5434 | 0.7 | 2720 | 5.6836 | 0.3492 |
1.4306 | 0.71 | 2740 | 4.4844 | 0.4122 |
1.8493 | 0.71 | 2760 | 4.3984 | 0.4070 |
1.2447 | 0.72 | 2780 | 4.3242 | 0.3884 |
3.9 | 0.72 | 2800 | 2.9824 | 0.4091 |
2.8007 | 0.73 | 2820 | 3.8008 | 0.4174 |
0.7397 | 0.73 | 2840 | 6.1953 | 0.4153 |
1.6954 | 0.74 | 2860 | 3.8711 | 0.4122 |
1.0559 | 0.74 | 2880 | 6.7578 | 0.4184 |
2.354 | 0.75 | 2900 | 4.0195 | 0.3853 |
2.2396 | 0.75 | 2920 | 4.1836 | 0.4143 |
1.736 | 0.76 | 2940 | 6.1523 | 0.3657 |
1.7746 | 0.76 | 2960 | 7.6797 | 0.4112 |
2.8225 | 0.77 | 2980 | 7.1172 | 0.4153 |
1.723 | 0.77 | 3000 | 4.4570 | 0.4143 |
1.591 | 0.78 | 3020 | 4.7188 | 0.4060 |
2.2972 | 0.78 | 3040 | 5.4219 | 0.3461 |
0.7102 | 0.79 | 3060 | 6.3477 | 0.4205 |
2.6331 | 0.8 | 3080 | 5.7031 | 0.4039 |
2.2154 | 0.8 | 3100 | 5.9023 | 0.3223 |
1.3288 | 0.81 | 3120 | 5.6289 | 0.4101 |
2.8541 | 0.81 | 3140 | 4.5391 | 0.4081 |
1.1956 | 0.82 | 3160 | 4.2188 | 0.3326 |
0.6724 | 0.82 | 3180 | 6.4180 | 0.4194 |
3.3572 | 0.83 | 3200 | 5.7930 | 0.4070 |
2.1121 | 0.83 | 3220 | 4.6758 | 0.3771 |
2.0453 | 0.84 | 3240 | 5.3281 | 0.4112 |
1.1715 | 0.84 | 3260 | 6.9141 | 0.3812 |
1.0438 | 0.85 | 3280 | 7.3242 | 0.4143 |
0.7894 | 0.85 | 3300 | 7.7422 | 0.4184 |
3.3288 | 0.86 | 3320 | 6.8945 | 0.4039 |
1.9406 | 0.86 | 3340 | 5.5547 | 0.4143 |
2.5013 | 0.87 | 3360 | 4.0078 | 0.4132 |
1.3637 | 0.87 | 3380 | 4.2031 | 0.4070 |
2.9497 | 0.88 | 3400 | 3.9727 | 0.4091 |
1.6295 | 0.88 | 3420 | 4.9805 | 0.4132 |
1.6557 | 0.89 | 3440 | 5.0586 | 0.3864 |
1.0884 | 0.89 | 3460 | 5.2070 | 0.3977 |
0.3464 | 0.9 | 3480 | 5.4609 | 0.4101 |
1.7069 | 0.9 | 3500 | 5.7188 | 0.4081 |
1.9864 | 0.91 | 3520 | 5.8164 | 0.4112 |
1.7181 | 0.91 | 3540 | 5.3047 | 0.4091 |
3.4296 | 0.92 | 3560 | 4.9375 | 0.4081 |
1.1618 | 0.92 | 3580 | 4.8320 | 0.3905 |
1.5314 | 0.93 | 3600 | 4.9531 | 0.3874 |
2.2965 | 0.93 | 3620 | 4.5625 | 0.3988 |
1.7454 | 0.94 | 3640 | 4.4102 | 0.4081 |
0.938 | 0.95 | 3660 | 4.3945 | 0.4060 |
1.9902 | 0.95 | 3680 | 4.4844 | 0.4070 |
0.7222 | 0.96 | 3700 | 4.6758 | 0.4091 |
1.4837 | 0.96 | 3720 | 4.6914 | 0.4112 |
1.4711 | 0.97 | 3740 | 4.6875 | 0.4122 |
1.5978 | 0.97 | 3760 | 4.5859 | 0.4091 |
2.7881 | 0.98 | 3780 | 4.5273 | 0.4101 |
2.2261 | 0.98 | 3800 | 4.4805 | 0.4060 |
1.6863 | 0.99 | 3820 | 4.3203 | 0.4091 |
2.0884 | 0.99 | 3840 | 4.2656 | 0.4081 |
2.1517 | 1.0 | 3860 | 4.2656 | 0.4081 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 24
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for IngeniousArtist/stablelm-3b-finance
Base model
stabilityai/stablelm-base-alpha-3b