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: 0.8150291876916989
          - name: F1
            type: f1
            value: 0.794526570313788

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: 0.0865
Accuracy: 0.8150
F1: 0.7945

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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.087	1.0	11371	0.0829	0.4143	0.5535
0.0794	2.0	22742	0.0783	0.6017	0.6458
0.0606	3.0	34113	0.0756	0.3631	0.5327
0.05	4.0	45484	0.0781	0.4475	0.5679
0.0448	5.0	56855	0.0789	0.6856	0.6975
0.0372	6.0	68226	0.0761	0.3922	0.5443
0.033	7.0	79597	0.0786	0.7586	0.7494
0.032	8.0	90968	0.0780	0.5011	0.5927
0.0229	9.0	102339	0.0819	0.7513	0.7439
0.0198	10.0	113710	0.0840	0.5522	0.6185
0.0169	11.0	125081	0.0821	0.7959	0.7785
0.0199	12.0	136452	0.0807	0.8353	0.8118
0.0118	13.0	147823	0.0819	0.8418	0.8176
0.0123	14.0	159194	0.0816	0.7577	0.7487
0.0093	15.0	170565	0.0856	0.7934	0.7765
0.0124	16.0	181936	0.0843	0.8484	0.8241
0.008	17.0	193307	0.0838	0.7998	0.7818
0.0106	18.0	204678	0.0872	0.8245	0.8027
0.0066	19.0	216049	0.0857	0.8122	0.7922
0.0059	20.0	227420	0.0865	0.8150	0.7945

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu116
Datasets 2.5.1
Tokenizers 0.12.1