task-embedder

This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2775
• Accuracy: 0.5753

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.6652	1.0	83	4.2850	0.3649
3.9443	2.0	166	3.5407	0.4281
3.3575	3.0	249	3.1092	0.4710
3.084	4.0	332	2.8743	0.4962
2.8764	5.0	415	2.7020	0.5211
2.7367	6.0	498	2.6699	0.5188
2.6275	7.0	581	2.5638	0.5404
2.5257	8.0	664	2.5348	0.5430
2.4742	9.0	747	2.4302	0.5591
2.4238	10.0	830	2.4159	0.5577
2.3516	11.0	913	2.3461	0.5741
2.3115	12.0	996	2.3291	0.5728
2.29	13.0	1079	2.3577	0.5698
2.2412	14.0	1162	2.3473	0.5674
2.245	15.0	1245	2.3113	0.5720

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1