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---
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
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