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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-phr2 |
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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: 0.9558498896247241 |
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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-phr2 |
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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: 0.1510 |
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- Accuracy: 0.9558 |
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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: 1.153335054745316e-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 | 1.0772 | 0.5320 | |
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| No log | 2.0 | 228 | 1.0494 | 0.6159 | |
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| No log | 3.0 | 342 | 0.9975 | 0.6181 | |
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| No log | 4.0 | 456 | 0.9147 | 0.6181 | |
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| 1.0398 | 5.0 | 570 | 0.8565 | 0.6181 | |
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| 1.0398 | 6.0 | 684 | 0.8305 | 0.6181 | |
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| 1.0398 | 7.0 | 798 | 0.7759 | 0.6181 | |
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| 1.0398 | 8.0 | 912 | 0.7302 | 0.6490 | |
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| 0.8173 | 9.0 | 1026 | 0.6873 | 0.6865 | |
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| 0.8173 | 10.0 | 1140 | 0.6445 | 0.7174 | |
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| 0.8173 | 11.0 | 1254 | 0.6036 | 0.7439 | |
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| 0.8173 | 12.0 | 1368 | 0.5528 | 0.7550 | |
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| 0.8173 | 13.0 | 1482 | 0.5247 | 0.7550 | |
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| 0.5972 | 14.0 | 1596 | 0.4776 | 0.7572 | |
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| 0.5972 | 15.0 | 1710 | 0.4430 | 0.7616 | |
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| 0.5972 | 16.0 | 1824 | 0.3948 | 0.7704 | |
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| 0.5972 | 17.0 | 1938 | 0.3418 | 0.8455 | |
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| 0.4037 | 18.0 | 2052 | 0.2924 | 0.9029 | |
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| 0.4037 | 19.0 | 2166 | 0.2486 | 0.9249 | |
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| 0.4037 | 20.0 | 2280 | 0.2049 | 0.9360 | |
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| 0.4037 | 21.0 | 2394 | 0.1854 | 0.9470 | |
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| 0.2072 | 22.0 | 2508 | 0.1803 | 0.9470 | |
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| 0.2072 | 23.0 | 2622 | 0.1634 | 0.9514 | |
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| 0.2072 | 24.0 | 2736 | 0.1615 | 0.9536 | |
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| 0.2072 | 25.0 | 2850 | 0.1560 | 0.9536 | |
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| 0.2072 | 26.0 | 2964 | 0.1512 | 0.9558 | |
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| 0.1222 | 27.0 | 3078 | 0.1470 | 0.9558 | |
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| 0.1222 | 28.0 | 3192 | 0.1519 | 0.9536 | |
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| 0.1222 | 29.0 | 3306 | 0.1505 | 0.9558 | |
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| 0.1222 | 30.0 | 3420 | 0.1510 | 0.9558 | |
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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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