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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: 0.5 |
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- name: F1 |
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type: f1 |
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value: 0.5454545454545454 |
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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: 0.2761 |
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- Accuracy: 0.5 |
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- F1: 0.5455 |
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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: 8 |
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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: 5 |
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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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| 0.2035 | 1.0 | 46 | 0.1972 | 0.3 | 0.4615 | |
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| 0.1354 | 2.0 | 92 | 0.2265 | 0.45 | 0.5217 | |
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| 0.0568 | 3.0 | 138 | 0.2754 | 0.45 | 0.5217 | |
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| 0.0235 | 4.0 | 184 | 0.2770 | 0.45 | 0.5217 | |
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| 0.0227 | 5.0 | 230 | 0.2761 | 0.5 | 0.5455 | |
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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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