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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: finetuned_bert-base-uncased |
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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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# finetuned_bert-base-uncased |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9064 |
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- Accuracy: 0.6591 |
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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: 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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- num_epochs: 15 |
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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 | 204 | 0.9670 | 0.6052 | |
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| No log | 2.0 | 408 | 0.8899 | 0.6731 | |
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| 0.8476 | 3.0 | 612 | 0.9283 | 0.6722 | |
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| 0.8476 | 4.0 | 816 | 1.0110 | 0.6828 | |
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| 0.3419 | 5.0 | 1020 | 1.0947 | 0.6741 | |
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| 0.3419 | 6.0 | 1224 | 1.1896 | 0.6799 | |
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| 0.3419 | 7.0 | 1428 | 1.3467 | 0.6887 | |
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| 0.193 | 8.0 | 1632 | 1.3716 | 0.6838 | |
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| 0.193 | 9.0 | 1836 | 1.4742 | 0.6809 | |
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| 0.1485 | 10.0 | 2040 | 1.5121 | 0.6867 | |
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| 0.1485 | 11.0 | 2244 | 1.5670 | 0.6819 | |
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| 0.1485 | 12.0 | 2448 | 1.5593 | 0.6867 | |
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| 0.1185 | 13.0 | 2652 | 1.6455 | 0.6809 | |
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| 0.1185 | 14.0 | 2856 | 1.6417 | 0.6877 | |
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| 0.1077 | 15.0 | 3060 | 1.6399 | 0.6867 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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