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--- |
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license: apache-2.0 |
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base_model: judy93536/distilroberta-rbm231k-ep20-op40 |
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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: distilroberta-rbm231k-ep20-op40-all-agree_2p2k |
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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_allagree |
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split: train |
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args: sentences_allagree |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9602649006622517 |
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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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# distilroberta-rbm231k-ep20-op40-all-agree_2p2k |
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This model is a fine-tuned version of [judy93536/distilroberta-rbm231k-ep20-op40](https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40) on the financial_phrasebank dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1320 |
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- Accuracy: 0.9603 |
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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: 1.253335054745316e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.4 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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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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| No log | 1.0 | 114 | 1.0789 | 0.4327 | |
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| No log | 2.0 | 228 | 1.0442 | 0.6115 | |
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| No log | 3.0 | 342 | 0.9709 | 0.6137 | |
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| No log | 4.0 | 456 | 0.8693 | 0.6115 | |
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| 1.0223 | 5.0 | 570 | 0.8346 | 0.6115 | |
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| 1.0223 | 6.0 | 684 | 0.7876 | 0.6115 | |
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| 1.0223 | 7.0 | 798 | 0.7355 | 0.6203 | |
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| 1.0223 | 8.0 | 912 | 0.6974 | 0.6733 | |
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| 0.7904 | 9.0 | 1026 | 0.6535 | 0.7219 | |
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| 0.7904 | 10.0 | 1140 | 0.6045 | 0.7550 | |
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| 0.7904 | 11.0 | 1254 | 0.5653 | 0.7770 | |
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| 0.7904 | 12.0 | 1368 | 0.5122 | 0.7859 | |
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| 0.7904 | 13.0 | 1482 | 0.4652 | 0.7881 | |
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| 0.5806 | 14.0 | 1596 | 0.4319 | 0.7991 | |
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| 0.5806 | 15.0 | 1710 | 0.3951 | 0.8057 | |
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| 0.5806 | 16.0 | 1824 | 0.3557 | 0.8168 | |
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| 0.5806 | 17.0 | 1938 | 0.3174 | 0.8565 | |
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| 0.3751 | 18.0 | 2052 | 0.2652 | 0.9007 | |
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| 0.3751 | 19.0 | 2166 | 0.2188 | 0.9404 | |
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| 0.3751 | 20.0 | 2280 | 0.1797 | 0.9470 | |
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| 0.3751 | 21.0 | 2394 | 0.1822 | 0.9492 | |
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| 0.1873 | 22.0 | 2508 | 0.1523 | 0.9514 | |
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| 0.1873 | 23.0 | 2622 | 0.1425 | 0.9581 | |
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| 0.1873 | 24.0 | 2736 | 0.1394 | 0.9581 | |
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| 0.1873 | 25.0 | 2850 | 0.1396 | 0.9603 | |
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| 0.1873 | 26.0 | 2964 | 0.1345 | 0.9603 | |
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| 0.1072 | 27.0 | 3078 | 0.1334 | 0.9603 | |
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| 0.1072 | 28.0 | 3192 | 0.1322 | 0.9603 | |
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| 0.1072 | 29.0 | 3306 | 0.1316 | 0.9603 | |
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| 0.1072 | 30.0 | 3420 | 0.1320 | 0.9603 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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