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

Loss: 0.0315
Pearson: 0.8255

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson
No log	1.0	360	0.0377	0.7822
0.0459	2.0	720	0.0407	0.8071
0.0213	3.0	1080	0.0341	0.8171
0.0213	4.0	1440	0.0304	0.8264
0.0157	5.0	1800	0.0315	0.8255

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

joheras/stsb-all-MiniLM-L6-v2

stsb-all-MiniLM-L6-v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

joheras/
stsb-all-MiniLM-L6-v2