README.md

metadata

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: 0.6666666666666666

all-MiniLM-L6-v2-quora

This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the quora dataset. It achieves the following results on the evaluation set:

• Loss: 0.2990
• Accuracy: 0.5
• F1: 0.6667

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
0.1974	1.0	46	0.2565	0.5	0.6667
0.1202	2.0	92	0.3442	0.5	0.6667
0.0691	3.0	138	0.3269	0.55	0.6897
0.0219	4.0	184	0.2925	0.5	0.6667
0.0069	5.0	230	0.2990	0.5	0.6667

Framework versions

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