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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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- f1 |
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model-index: |
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- name: bert-nlp-project-ft-google |
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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-nlp-project-ft-google |
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This model is a fine-tuned version of [jestemleon/bert-nlp-project-google](https://huggingface.co/jestemleon/bert-nlp-project-google) on the [steciuk/google](https://huggingface.co/datasets/steciuk/google) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3255 |
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- Accuracy: 0.9105 |
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- F1: 0.9174 |
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and flowing results on the testing set: |
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- Accuracy: 0.9115 |
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- F1: 0.9180 |
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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: 3 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.3506 | 0.37 | 196 | 0.2922 | 0.8876 | 0.9017 | |
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| 0.2724 | 0.75 | 392 | 0.2456 | 0.9038 | 0.9099 | |
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| 0.2299 | 1.12 | 588 | 0.2781 | 0.9124 | 0.9192 | |
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| 0.2009 | 1.49 | 784 | 0.2934 | 0.8981 | 0.9016 | |
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| 0.182 | 1.86 | 980 | 0.2854 | 0.9095 | 0.9164 | |
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| 0.1569 | 2.24 | 1176 | 0.2932 | 0.9086 | 0.9150 | |
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| 0.118 | 2.61 | 1372 | 0.3258 | 0.9067 | 0.9139 | |
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| 0.1188 | 2.98 | 1568 | 0.3255 | 0.9105 | 0.9174 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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