This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 8.1584

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
10.1267	1.0	10	8.7903
8.6632	2.0	20	8.2710
8.1981	3.0	30	8.1068

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

brugmark/all-MiniLM-L6-v2-personal-project-finetuned-2024-03-22

all-MiniLM-L6-v2-personal-project-finetuned-2024-03-22

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

brugmark/
all-MiniLM-L6-v2-personal-project-finetuned-2024-03-22