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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Bert-SBP |
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results: [] |
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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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# Bert-SBP |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7436 |
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- Accuracy: 0.7505 |
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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: 32 |
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- eval_batch_size: 32 |
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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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| 0.1251 | 1.0 | 1139 | 1.3079 | 0.7370 | |
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| 0.172 | 2.0 | 2278 | 1.2414 | 0.7341 | |
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| 0.2179 | 3.0 | 3417 | 1.2107 | 0.7409 | |
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| 0.1429 | 4.0 | 4556 | 1.3118 | 0.7402 | |
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| 0.1037 | 5.0 | 5695 | 1.4270 | 0.7417 | |
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| 0.0699 | 6.0 | 6834 | 1.5152 | 0.7474 | |
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| 0.0513 | 7.0 | 7973 | 1.6423 | 0.7462 | |
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| 0.0371 | 8.0 | 9112 | 1.6923 | 0.7503 | |
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| 0.0222 | 9.0 | 10251 | 1.7365 | 0.7499 | |
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| 0.0188 | 10.0 | 11390 | 1.7436 | 0.7505 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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