my_awesome_swag_model

seven-wind-c/my_awesome_swag_model

my_awesome_swag_model is a multiple choice model from seven-wind-c. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Task: multiple choice
Library: transformers
Model type: distilbert
Access: Public
Created: Aug 8, 2023
Updated: Aug 9, 2023
SHA: 78d8689f

Model card

From the Hugging Face model README

my_awesome_swag_model

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6955
Accuracy: 0.9304

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	347	1.9247	0.5565
2.1957	2.0	694	1.8741	0.5739
1.669	3.0	1041	1.3841	0.6522
1.669	4.0	1388	1.3004	0.7391
1.5076	5.0	1735	1.1071	0.8087
0.9475	6.0	2082	0.8683	0.8435
0.9475	7.0	2429	0.7487	0.8609
0.4713	8.0	2776	0.7383	0.8870
0.2741	9.0	3123	0.7910	0.8957
0.2741	10.0	3470	0.7189	0.9043
0.1831	11.0	3817	0.6801	0.9304
0.0457	12.0	4164	0.6955	0.9304

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: multiple choice
Library: transformers
Type: distilbert
Created: Aug 8, 2023
Updated: Aug 9, 2023