bert-tomi

kk1729/bert-tomi

bert-tomi is a question answering model from kk1729. 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

3% of all-time downloads

All-time downloads

Public

Repo size

531 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin265 MB · 100%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jun 12, 2023
Updated: Jun 12, 2023
SHA: 74745ed5

Try a prompt

Model card

From the Hugging Face model README

bert-tomi

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5795

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	20	1.4813
No log	2.0	40	0.8226
No log	3.0	60	0.8029
No log	4.0	80	0.7540
No log	5.0	100	0.6975
No log	6.0	120	0.6551
No log	7.0	140	0.5427
No log	8.0	160	0.6468
No log	9.0	180	0.5132
No log	10.0	200	0.5187
No log	11.0	220	0.4608
No log	12.0	240	0.4695
No log	13.0	260	0.5127
No log	14.0	280	0.4852
No log	15.0	300	0.9083
No log	16.0	320	0.6483
No log	17.0	340	0.5506
No log	18.0	360	0.5809
No log	19.0	380	0.5848
No log	20.0	400	0.5795

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 12, 2023
Updated: Jun 12, 2023