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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: boss-toxicity-24000-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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# boss-toxicity-24000-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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- F1: 0.7003 |
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- Acc: 0.8460 |
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- Loss: 1.2310 |
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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: 8 |
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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: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | F1 | Acc | Validation Loss | |
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|:-------------:|:-----:|:-----:|:------:|:------:|:---------------:| |
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| 0.3305 | 1.0 | 1500 | 0.6780 | 0.8250 | 0.3952 | |
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| 0.2821 | 2.0 | 3000 | 0.6773 | 0.8219 | 0.3777 | |
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| 0.2 | 3.0 | 4500 | 0.7331 | 0.8766 | 0.3716 | |
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| 0.1396 | 4.0 | 6000 | 0.6900 | 0.8356 | 0.6738 | |
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| 0.0914 | 5.0 | 7500 | 0.7011 | 0.8472 | 0.6766 | |
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| 0.0548 | 6.0 | 9000 | 0.7480 | 0.8905 | 0.6274 | |
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| 0.0365 | 7.0 | 10500 | 0.6624 | 0.8068 | 1.2739 | |
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| 0.0324 | 8.0 | 12000 | 0.7222 | 0.8655 | 1.0403 | |
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| 0.0295 | 9.0 | 13500 | 0.7003 | 0.8460 | 1.2310 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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