all-MiniLM-L6-v2-finetuned-squad

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

all-MiniLM-L6-v2-finetuned-squad is a question answering model from Sybghat. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

4% of all-time downloads

All-time downloads

1.2K

Public

Parameters

22.6M

3.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors90.3 MB · 99%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 15, 2023
Updated: Dec 15, 2023
SHA: c1e19e1d

Try a prompt

Base models

sentence-transformers/all-MiniLM-L6-v2

Datasets

squad

Model card

From the Hugging Face model README

all-MiniLM-L6-v2-finetuned-squad

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

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 15, 2023
Updated: Dec 15, 2023