---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- quora
metrics:
- accuracy
- f1
model-index:
- name: all-MiniLM-L6-v2-quora
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: quora
      type: quora
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.5
    - name: F1
      type: f1
      value: 0.5454545454545454
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# all-MiniLM-L6-v2-quora

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.
It achieves the following results on the evaluation set:
- Loss: 0.2761
- Accuracy: 0.5
- F1: 0.5455

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2035        | 1.0   | 46   | 0.1972          | 0.3      | 0.4615 |
| 0.1354        | 2.0   | 92   | 0.2265          | 0.45     | 0.5217 |
| 0.0568        | 3.0   | 138  | 0.2754          | 0.45     | 0.5217 |
| 0.0235        | 4.0   | 184  | 0.2770          | 0.45     | 0.5217 |
| 0.0227        | 5.0   | 230  | 0.2761          | 0.5      | 0.5455 |


### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu116
- Datasets 2.5.1
- Tokenizers 0.12.1