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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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datasets: |
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- eoir_privacy |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: bert_uncased_L-4_H-512_A-8-finetuned-eoir_privacy-longer |
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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: eoir_privacy |
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type: eoir_privacy |
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config: all |
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split: train |
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args: all |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9476327116212339 |
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- name: F1 |
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type: f1 |
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value: 0.8805237315875615 |
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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_uncased_L-4_H-512_A-8-finetuned-eoir_privacy-longer |
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the eoir_privacy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1738 |
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- Accuracy: 0.9476 |
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- F1: 0.8805 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 63 | 0.2004 | 0.9261 | 0.8298 | |
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| No log | 2.0 | 126 | 0.2042 | 0.9297 | 0.8435 | |
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| No log | 3.0 | 189 | 0.1888 | 0.9362 | 0.8558 | |
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| No log | 4.0 | 252 | 0.1879 | 0.9383 | 0.8532 | |
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| No log | 5.0 | 315 | 0.1715 | 0.9462 | 0.8788 | |
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| No log | 6.0 | 378 | 0.1761 | 0.9448 | 0.8706 | |
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| No log | 7.0 | 441 | 0.1730 | 0.9455 | 0.8774 | |
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| 0.1078 | 8.0 | 504 | 0.1753 | 0.9448 | 0.8772 | |
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| 0.1078 | 9.0 | 567 | 0.1721 | 0.9469 | 0.8791 | |
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| 0.1078 | 10.0 | 630 | 0.1738 | 0.9476 | 0.8805 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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