cosent-similarity-text2vec – AI Model by xuanye | AlphaNeural AI

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xuanye/
cosent-similarity-text2vec

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text-classification

generated_from_trainer

shibing624/text2vec-base-chinese

autotrain_compatible

endpoints_compatible

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cosent-similarity-text2vec

This model is a fine-tuned version of shibing624/text2vec-base-chinese on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1408
Accuracy: 0.9605
F1: 0.9670
Precision: 0.9778
Recall: 0.9565

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
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	Precision	Recall
No log	1.0	22	0.2330	0.9211	0.9318	0.9762	0.8913
No log	2.0	44	0.2088	0.9342	0.9438	0.9767	0.9130
No log	3.0	66	0.1484	0.9605	0.9670	0.9778	0.9565
No log	4.0	88	0.1370	0.9605	0.9670	0.9778	0.9565
No log	5.0	110	0.1408	0.9605	0.9670	0.9778	0.9565

Framework versions

Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.1