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--- |
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license: cc-by-sa-4.0 |
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base_model: stabilityai/stablelm-base-alpha-3b |
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tags: |
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- generated_from_trainer |
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datasets: |
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- financial_phrasebank |
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metrics: |
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- accuracy |
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model-index: |
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- name: stablelm-3b-finance |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: financial_phrasebank |
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type: financial_phrasebank |
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config: sentences_50agree |
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split: train |
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args: sentences_50agree |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.4080578512396694 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# stablelm-3b-finance |
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This model is a fine-tuned version of [stabilityai/stablelm-base-alpha-3b](https://huggingface.co/stabilityai/stablelm-base-alpha-3b) on the financial_phrasebank dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.2656 |
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- Accuracy: 0.4081 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 37.5127 | 0.01 | 20 | 19.6094 | 0.2624 | |
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| 19.1885 | 0.01 | 40 | 64.3125 | 0.0816 | |
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| 14.5964 | 0.02 | 60 | 43.4688 | 0.4143 | |
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| 5.8184 | 0.02 | 80 | 54.9688 | 0.4143 | |
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| 25.0629 | 0.03 | 100 | 62.25 | 0.0816 | |
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| 23.0213 | 0.03 | 120 | 18.4062 | 0.4143 | |
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| 6.4438 | 0.04 | 140 | 9.4922 | 0.4143 | |
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| 10.3302 | 0.04 | 160 | 25.0781 | 0.4143 | |
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| 5.5922 | 0.05 | 180 | 29.0469 | 0.4143 | |
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| 2.9618 | 0.05 | 200 | 14.5078 | 0.4143 | |
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| 4.551 | 0.06 | 220 | 18.5156 | 0.4112 | |
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| 4.5168 | 0.06 | 240 | 29.5156 | 0.4143 | |
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| 3.0656 | 0.07 | 260 | 27.5469 | 0.4143 | |
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| 6.9075 | 0.07 | 280 | 40.375 | 0.4143 | |
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| 6.09 | 0.08 | 300 | 28.4688 | 0.4143 | |
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| 2.254 | 0.08 | 320 | 35.375 | 0.4143 | |
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| 8.4998 | 0.09 | 340 | 31.4375 | 0.4143 | |
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| 8.3815 | 0.09 | 360 | 28.2188 | 0.4143 | |
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| 7.9155 | 0.1 | 380 | 12.0625 | 0.0816 | |
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| 2.0166 | 0.1 | 400 | 9.8672 | 0.3895 | |
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| 5.1889 | 0.11 | 420 | 11.0234 | 0.4132 | |
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| 3.844 | 0.11 | 440 | 10.4844 | 0.4132 | |
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| 3.7982 | 0.12 | 460 | 13.4688 | 0.3864 | |
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| 1.5386 | 0.12 | 480 | 34.3125 | 0.4143 | |
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| 4.0882 | 0.13 | 500 | 33.875 | 0.4143 | |
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| 6.1486 | 0.13 | 520 | 11.6406 | 0.0816 | |
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| 4.0523 | 0.14 | 540 | 9.1328 | 0.3988 | |
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| 2.5312 | 0.14 | 560 | 11.7969 | 0.4143 | |
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| 6.0803 | 0.15 | 580 | 15.6016 | 0.4143 | |
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| 5.4927 | 0.15 | 600 | 8.8828 | 0.0816 | |
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| 3.9641 | 0.16 | 620 | 9.3672 | 0.4132 | |
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| 4.2708 | 0.17 | 640 | 4.7852 | 0.4143 | |
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| 4.4524 | 0.17 | 660 | 6.5312 | 0.4122 | |
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| 6.081 | 0.18 | 680 | 34.3125 | 0.4112 | |
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| 7.9303 | 0.18 | 700 | 45.9375 | 0.0868 | |
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| 1.9309 | 0.19 | 720 | 44.6562 | 0.4143 | |
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| 10.341 | 0.19 | 740 | 20.5312 | 0.4143 | |
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| 6.2898 | 0.2 | 760 | 9.4219 | 0.4143 | |
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| 3.6457 | 0.2 | 780 | 7.6758 | 0.4143 | |
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| 4.6135 | 0.21 | 800 | 9.6875 | 0.4143 | |
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| 3.2253 | 0.21 | 820 | 9.5078 | 0.0888 | |
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| 3.7653 | 0.22 | 840 | 7.4453 | 0.1178 | |
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| 5.2183 | 0.22 | 860 | 10.2422 | 0.0837 | |
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| 7.6287 | 0.23 | 880 | 4.2344 | 0.4143 | |
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| 2.8624 | 0.23 | 900 | 4.2227 | 0.4143 | |
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| 5.1134 | 0.24 | 920 | 7.375 | 0.1674 | |
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| 7.5312 | 0.24 | 940 | 3.6641 | 0.0888 | |
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| 2.8719 | 0.25 | 960 | 7.7148 | 0.4143 | |
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| 1.5177 | 0.25 | 980 | 6.3320 | 0.4143 | |
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| 3.0631 | 0.26 | 1000 | 2.9297 | 0.4143 | |
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| 5.4135 | 0.26 | 1020 | 1.9219 | 0.4143 | |
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| 4.9254 | 0.27 | 1040 | 17.8281 | 0.4143 | |
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| 1.6855 | 0.27 | 1060 | 17.9844 | 0.4143 | |
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| 3.595 | 0.28 | 1080 | 13.2422 | 0.4143 | |
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| 4.9504 | 0.28 | 1100 | 3.6074 | 0.4143 | |
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| 1.5584 | 0.29 | 1120 | 13.0469 | 0.4143 | |
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| 5.144 | 0.29 | 1140 | 17.8594 | 0.0816 | |
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| 4.8497 | 0.3 | 1160 | 11.6953 | 0.4143 | |
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| 3.4161 | 0.3 | 1180 | 20.6562 | 0.0816 | |
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| 6.7763 | 0.31 | 1200 | 15.1406 | 0.4143 | |
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| 2.8709 | 0.32 | 1220 | 8.9922 | 0.4143 | |
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| 4.1128 | 0.32 | 1240 | 9.3984 | 0.4143 | |
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| 1.4908 | 0.33 | 1260 | 12.2891 | 0.4143 | |
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| 3.2886 | 0.33 | 1280 | 14.5703 | 0.0816 | |
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| 6.8233 | 0.34 | 1300 | 2.2734 | 0.4143 | |
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| 2.6123 | 0.34 | 1320 | 7.3281 | 0.4143 | |
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| 3.4882 | 0.35 | 1340 | 4.6992 | 0.0826 | |
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| 2.5896 | 0.35 | 1360 | 11.9688 | 0.4143 | |
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| 6.352 | 0.36 | 1380 | 4.4727 | 0.4101 | |
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| 2.2885 | 0.36 | 1400 | 5.7578 | 0.4050 | |
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| 4.2021 | 0.37 | 1420 | 7.1172 | 0.4143 | |
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| 3.032 | 0.37 | 1440 | 2.7988 | 0.4132 | |
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| 1.428 | 0.38 | 1460 | 17.5938 | 0.4143 | |
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| 2.8068 | 0.38 | 1480 | 15.9141 | 0.4143 | |
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| 7.0014 | 0.39 | 1500 | 4.9883 | 0.1033 | |
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| 3.2138 | 0.39 | 1520 | 9.625 | 0.4112 | |
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| 3.0001 | 0.4 | 1540 | 6.2305 | 0.3833 | |
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| 2.3248 | 0.4 | 1560 | 5.5547 | 0.3760 | |
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| 2.7573 | 0.41 | 1580 | 9.0859 | 0.4143 | |
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| 4.8701 | 0.41 | 1600 | 9.1641 | 0.25 | |
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| 6.5986 | 0.42 | 1620 | 6.5977 | 0.4143 | |
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| 5.4379 | 0.42 | 1640 | 8.8203 | 0.0826 | |
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| 4.7142 | 0.43 | 1660 | 6.9219 | 0.4143 | |
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| 3.1696 | 0.43 | 1680 | 3.9941 | 0.4163 | |
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| 2.5254 | 0.44 | 1700 | 5.7461 | 0.4143 | |
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| 1.9537 | 0.44 | 1720 | 3.7441 | 0.4143 | |
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| 2.4895 | 0.45 | 1740 | 6.8789 | 0.4143 | |
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| 2.9386 | 0.45 | 1760 | 6.5625 | 0.4205 | |
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| 4.1816 | 0.46 | 1780 | 2.7070 | 0.4163 | |
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| 5.2298 | 0.46 | 1800 | 6.3828 | 0.3967 | |
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| 1.3144 | 0.47 | 1820 | 8.3984 | 0.4143 | |
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| 2.62 | 0.48 | 1840 | 7.8359 | 0.4153 | |
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| 2.3815 | 0.48 | 1860 | 6.9297 | 0.3595 | |
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| 1.2381 | 0.49 | 1880 | 7.125 | 0.3595 | |
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| 1.6726 | 0.49 | 1900 | 8.7109 | 0.4132 | |
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| 2.0483 | 0.5 | 1920 | 8.3047 | 0.4101 | |
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| 3.6178 | 0.5 | 1940 | 8.1719 | 0.3574 | |
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| 3.0994 | 0.51 | 1960 | 11.5625 | 0.2572 | |
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| 2.0991 | 0.51 | 1980 | 15.375 | 0.0816 | |
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| 4.4138 | 0.52 | 2000 | 16.6406 | 0.4143 | |
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| 4.6666 | 0.52 | 2020 | 3.7168 | 0.4050 | |
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| 1.8319 | 0.53 | 2040 | 5.375 | 0.4112 | |
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| 2.2184 | 0.53 | 2060 | 5.3398 | 0.3337 | |
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| 2.5527 | 0.54 | 2080 | 4.2188 | 0.4112 | |
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| 2.2984 | 0.54 | 2100 | 6.875 | 0.4122 | |
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| 2.2836 | 0.55 | 2120 | 6.1836 | 0.4101 | |
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| 3.0373 | 0.55 | 2140 | 5.7930 | 0.4019 | |
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| 2.2946 | 0.56 | 2160 | 4.7891 | 0.4091 | |
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| 1.4506 | 0.56 | 2180 | 13.2891 | 0.3936 | |
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| 1.7211 | 0.57 | 2200 | 11.1172 | 0.4112 | |
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| 2.4151 | 0.57 | 2220 | 8.2969 | 0.3905 | |
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| 1.989 | 0.58 | 2240 | 8.2812 | 0.4143 | |
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| 0.6184 | 0.58 | 2260 | 8.1562 | 0.3936 | |
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| 2.8995 | 0.59 | 2280 | 9.8203 | 0.4174 | |
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| 1.8413 | 0.59 | 2300 | 8.0781 | 0.3626 | |
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| 1.6959 | 0.6 | 2320 | 8.5703 | 0.3233 | |
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| 2.7333 | 0.6 | 2340 | 4.8984 | 0.4163 | |
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| 1.7187 | 0.61 | 2360 | 6.5859 | 0.3957 | |
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| 2.8341 | 0.61 | 2380 | 5.6133 | 0.3926 | |
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| 1.8751 | 0.62 | 2400 | 5.1445 | 0.3399 | |
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| 2.0391 | 0.62 | 2420 | 5.3633 | 0.4163 | |
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| 1.1569 | 0.63 | 2440 | 6.4570 | 0.2975 | |
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| 1.8955 | 0.64 | 2460 | 4.6367 | 0.4153 | |
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| 3.3986 | 0.64 | 2480 | 4.875 | 0.4153 | |
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| 0.9939 | 0.65 | 2500 | 4.4492 | 0.4184 | |
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| 3.1304 | 0.65 | 2520 | 3.9414 | 0.4081 | |
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| 1.7888 | 0.66 | 2540 | 5.5898 | 0.4081 | |
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| 2.1101 | 0.66 | 2560 | 6.3242 | 0.3017 | |
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| 1.7795 | 0.67 | 2580 | 6.1992 | 0.3957 | |
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| 0.565 | 0.67 | 2600 | 7.1016 | 0.4205 | |
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| 2.1791 | 0.68 | 2620 | 4.4805 | 0.4215 | |
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| 1.8351 | 0.68 | 2640 | 6.9727 | 0.3667 | |
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| 2.0573 | 0.69 | 2660 | 7.6797 | 0.4174 | |
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| 2.077 | 0.69 | 2680 | 4.3242 | 0.4029 | |
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| 1.3436 | 0.7 | 2700 | 5.7227 | 0.4153 | |
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| 2.5434 | 0.7 | 2720 | 5.6836 | 0.3492 | |
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| 1.4306 | 0.71 | 2740 | 4.4844 | 0.4122 | |
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| 1.8493 | 0.71 | 2760 | 4.3984 | 0.4070 | |
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| 1.2447 | 0.72 | 2780 | 4.3242 | 0.3884 | |
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| 3.9 | 0.72 | 2800 | 2.9824 | 0.4091 | |
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| 2.8007 | 0.73 | 2820 | 3.8008 | 0.4174 | |
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| 0.7397 | 0.73 | 2840 | 6.1953 | 0.4153 | |
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| 1.6954 | 0.74 | 2860 | 3.8711 | 0.4122 | |
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| 1.0559 | 0.74 | 2880 | 6.7578 | 0.4184 | |
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| 2.354 | 0.75 | 2900 | 4.0195 | 0.3853 | |
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| 2.2396 | 0.75 | 2920 | 4.1836 | 0.4143 | |
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| 1.736 | 0.76 | 2940 | 6.1523 | 0.3657 | |
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| 1.7746 | 0.76 | 2960 | 7.6797 | 0.4112 | |
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| 2.8225 | 0.77 | 2980 | 7.1172 | 0.4153 | |
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| 1.723 | 0.77 | 3000 | 4.4570 | 0.4143 | |
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| 1.591 | 0.78 | 3020 | 4.7188 | 0.4060 | |
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| 2.2972 | 0.78 | 3040 | 5.4219 | 0.3461 | |
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| 0.7102 | 0.79 | 3060 | 6.3477 | 0.4205 | |
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| 2.6331 | 0.8 | 3080 | 5.7031 | 0.4039 | |
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| 2.2154 | 0.8 | 3100 | 5.9023 | 0.3223 | |
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| 1.3288 | 0.81 | 3120 | 5.6289 | 0.4101 | |
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| 2.8541 | 0.81 | 3140 | 4.5391 | 0.4081 | |
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| 1.1956 | 0.82 | 3160 | 4.2188 | 0.3326 | |
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| 0.6724 | 0.82 | 3180 | 6.4180 | 0.4194 | |
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| 3.3572 | 0.83 | 3200 | 5.7930 | 0.4070 | |
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| 2.1121 | 0.83 | 3220 | 4.6758 | 0.3771 | |
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| 2.0453 | 0.84 | 3240 | 5.3281 | 0.4112 | |
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| 1.1715 | 0.84 | 3260 | 6.9141 | 0.3812 | |
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| 1.0438 | 0.85 | 3280 | 7.3242 | 0.4143 | |
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| 0.7894 | 0.85 | 3300 | 7.7422 | 0.4184 | |
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| 3.3288 | 0.86 | 3320 | 6.8945 | 0.4039 | |
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| 1.9406 | 0.86 | 3340 | 5.5547 | 0.4143 | |
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| 2.5013 | 0.87 | 3360 | 4.0078 | 0.4132 | |
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| 1.3637 | 0.87 | 3380 | 4.2031 | 0.4070 | |
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| 2.9497 | 0.88 | 3400 | 3.9727 | 0.4091 | |
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| 1.6295 | 0.88 | 3420 | 4.9805 | 0.4132 | |
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| 1.6557 | 0.89 | 3440 | 5.0586 | 0.3864 | |
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| 1.0884 | 0.89 | 3460 | 5.2070 | 0.3977 | |
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| 0.3464 | 0.9 | 3480 | 5.4609 | 0.4101 | |
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| 1.7069 | 0.9 | 3500 | 5.7188 | 0.4081 | |
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| 1.9864 | 0.91 | 3520 | 5.8164 | 0.4112 | |
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| 1.7181 | 0.91 | 3540 | 5.3047 | 0.4091 | |
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| 3.4296 | 0.92 | 3560 | 4.9375 | 0.4081 | |
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| 1.1618 | 0.92 | 3580 | 4.8320 | 0.3905 | |
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| 1.5314 | 0.93 | 3600 | 4.9531 | 0.3874 | |
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| 2.2965 | 0.93 | 3620 | 4.5625 | 0.3988 | |
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| 1.7454 | 0.94 | 3640 | 4.4102 | 0.4081 | |
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| 0.938 | 0.95 | 3660 | 4.3945 | 0.4060 | |
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| 1.9902 | 0.95 | 3680 | 4.4844 | 0.4070 | |
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| 0.7222 | 0.96 | 3700 | 4.6758 | 0.4091 | |
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| 1.4837 | 0.96 | 3720 | 4.6914 | 0.4112 | |
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| 1.4711 | 0.97 | 3740 | 4.6875 | 0.4122 | |
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| 1.5978 | 0.97 | 3760 | 4.5859 | 0.4091 | |
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| 2.7881 | 0.98 | 3780 | 4.5273 | 0.4101 | |
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| 2.2261 | 0.98 | 3800 | 4.4805 | 0.4060 | |
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| 1.6863 | 0.99 | 3820 | 4.3203 | 0.4091 | |
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| 2.0884 | 0.99 | 3840 | 4.2656 | 0.4081 | |
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| 2.1517 | 1.0 | 3860 | 4.2656 | 0.4081 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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