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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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- quora |
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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: all-MiniLM-L6-v2-quora |
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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: quora |
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type: quora |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8150291876916989 |
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- name: F1 |
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type: f1 |
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value: 0.794526570313788 |
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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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# all-MiniLM-L6-v2-quora |
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This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the quora dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0865 |
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- Accuracy: 0.8150 |
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- F1: 0.7945 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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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: 20 |
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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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| 0.087 | 1.0 | 11371 | 0.0829 | 0.4143 | 0.5535 | |
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| 0.0794 | 2.0 | 22742 | 0.0783 | 0.6017 | 0.6458 | |
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| 0.0606 | 3.0 | 34113 | 0.0756 | 0.3631 | 0.5327 | |
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| 0.05 | 4.0 | 45484 | 0.0781 | 0.4475 | 0.5679 | |
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| 0.0448 | 5.0 | 56855 | 0.0789 | 0.6856 | 0.6975 | |
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| 0.0372 | 6.0 | 68226 | 0.0761 | 0.3922 | 0.5443 | |
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| 0.033 | 7.0 | 79597 | 0.0786 | 0.7586 | 0.7494 | |
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| 0.032 | 8.0 | 90968 | 0.0780 | 0.5011 | 0.5927 | |
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| 0.0229 | 9.0 | 102339 | 0.0819 | 0.7513 | 0.7439 | |
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| 0.0198 | 10.0 | 113710 | 0.0840 | 0.5522 | 0.6185 | |
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| 0.0169 | 11.0 | 125081 | 0.0821 | 0.7959 | 0.7785 | |
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| 0.0199 | 12.0 | 136452 | 0.0807 | 0.8353 | 0.8118 | |
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| 0.0118 | 13.0 | 147823 | 0.0819 | 0.8418 | 0.8176 | |
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| 0.0123 | 14.0 | 159194 | 0.0816 | 0.7577 | 0.7487 | |
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| 0.0093 | 15.0 | 170565 | 0.0856 | 0.7934 | 0.7765 | |
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| 0.0124 | 16.0 | 181936 | 0.0843 | 0.8484 | 0.8241 | |
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| 0.008 | 17.0 | 193307 | 0.0838 | 0.7998 | 0.7818 | |
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| 0.0106 | 18.0 | 204678 | 0.0872 | 0.8245 | 0.8027 | |
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| 0.0066 | 19.0 | 216049 | 0.0857 | 0.8122 | 0.7922 | |
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| 0.0059 | 20.0 | 227420 | 0.0865 | 0.8150 | 0.7945 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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