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

Loss: 1.3568

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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.4553	1.0	5533	1.3554
1.0754	2.0	11066	1.2993
0.7138	3.0	16599	1.3568

Framework versions

Transformers 4.35.2
Pytorch 1.12.1+cu113
Datasets 2.15.0
Tokenizers 0.15.0

Sybghat/all-MiniLM-L6-v2-finetuned-squad

all-MiniLM-L6-v2-finetuned-squad

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sybghat/
all-MiniLM-L6-v2-finetuned-squad