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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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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: distilbert-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: 0.7427685950413223 |
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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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# distilbert-finance |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the financial_phrasebank dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9820 |
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- Accuracy: 0.7428 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 10 |
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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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| 0.905 | 0.33 | 20 | 1.5902 | 0.4205 | |
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| 0.66 | 0.66 | 40 | 1.6678 | 0.4184 | |
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| 0.5429 | 0.98 | 60 | 1.6024 | 0.3915 | |
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| 0.4804 | 1.31 | 80 | 1.5001 | 0.4236 | |
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| 0.3914 | 1.64 | 100 | 1.4990 | 0.4246 | |
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| 0.3817 | 1.97 | 120 | 1.3082 | 0.4225 | |
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| 0.2829 | 2.3 | 140 | 1.0931 | 0.4566 | |
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| 0.2737 | 2.62 | 160 | 0.9830 | 0.5579 | |
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| 0.2958 | 2.95 | 180 | 0.8748 | 0.6281 | |
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| 0.1963 | 3.28 | 200 | 0.7356 | 0.7335 | |
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| 0.1861 | 3.61 | 220 | 1.0993 | 0.5599 | |
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| 0.2025 | 3.93 | 240 | 0.7504 | 0.75 | |
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| 0.1326 | 4.26 | 260 | 0.8450 | 0.7438 | |
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| 0.1491 | 4.59 | 280 | 0.7221 | 0.7593 | |
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| 0.1303 | 4.92 | 300 | 0.9738 | 0.6756 | |
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| 0.109 | 5.25 | 320 | 0.7593 | 0.7634 | |
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| 0.0994 | 5.57 | 340 | 1.1073 | 0.6632 | |
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| 0.0969 | 5.9 | 360 | 0.8082 | 0.7479 | |
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| 0.0697 | 6.23 | 380 | 0.9121 | 0.7242 | |
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| 0.0635 | 6.56 | 400 | 0.8706 | 0.7490 | |
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| 0.0637 | 6.89 | 420 | 1.0041 | 0.7221 | |
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| 0.0561 | 7.21 | 440 | 1.0379 | 0.7035 | |
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| 0.0577 | 7.54 | 460 | 1.0113 | 0.7180 | |
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| 0.0612 | 7.87 | 480 | 0.9029 | 0.75 | |
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| 0.0505 | 8.2 | 500 | 0.9523 | 0.7428 | |
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| 0.0493 | 8.52 | 520 | 0.9854 | 0.7304 | |
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| 0.0271 | 8.85 | 540 | 1.0400 | 0.7252 | |
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| 0.0271 | 9.18 | 560 | 1.0337 | 0.7314 | |
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| 0.0397 | 9.51 | 580 | 1.0058 | 0.7366 | |
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| 0.0441 | 9.84 | 600 | 0.9820 | 0.7428 | |
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### Framework versions |
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- Transformers 4.31.0 |
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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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