test-bert-4

hung200504/test-bert-4

test-bert-4 is a question answering model from hung200504. Use it when the input is a question plus a passage. It is set up for transformers.

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

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At a glance

Task: Question Answering
Library: transformers
Model type: bert
Access: Public
Created: Oct 21, 2023
Updated: Oct 21, 2023
SHA: f16010f9

Try a prompt

Base models

hung200504/test-bert-3

Model card

From the Hugging Face model README

test-bert-4

This model is a fine-tuned version of hung200504/test-bert-3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 11.2408

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: 3e-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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
10.2916	0.09	5	11.5523
10.1994	0.18	10	11.4942
9.7621	0.27	15	11.4425
10.0828	0.36	20	11.3969
9.9806	0.45	25	11.3567
10.0913	0.55	30	11.3225
9.4998	0.64	35	11.2944
9.4188	0.73	40	11.2722
9.7955	0.82	45	11.2561
9.6201	0.91	50	11.2455
9.8946	1.0	55	11.2408

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Question Answering
Library: transformers
Type: bert
Created: Oct 21, 2023
Updated: Oct 21, 2023