roberta-base-riddle-finetuned_new

shirzady1934/roberta-base-riddle-finetuned_new

roberta-base-riddle-finetuned_new is a multiple choice model from shirzady1934. 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. The card lists the license as mit.

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

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Hugging Face

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At a glance

Task: multiple choice
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jan 30, 2024
Updated: Jan 30, 2024
SHA: b0e3d661

Base models

Model card

From the Hugging Face model README

roberta-base-riddle-finetuned_new

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

Loss: 0.3741
Accuracy: 0.8250

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	12	1.3036	0.4500
No log	2.0	24	1.1112	0.4750
No log	3.0	36	1.0265	0.4500
No log	4.0	48	1.1130	0.6000
No log	5.0	60	0.8603	0.625
No log	6.0	72	0.8099	0.7750
No log	7.0	84	0.8668	0.7250
No log	8.0	96	0.7217	0.8000
No log	9.0	108	0.7143	0.8250
No log	10.0	120	0.6371	0.8250
No log	11.0	132	0.6327	0.7250
No log	12.0	144	0.5974	0.75
No log	13.0	156	0.5160	0.8000
No log	14.0	168	0.5336	0.75
No log	15.0	180	0.5201	0.8000
No log	16.0	192	0.4121	0.8250
No log	17.0	204	0.4145	0.8000
No log	18.0	216	0.4475	0.875
No log	19.0	228	0.4147	0.8250
No log	20.0	240	0.3818	0.7750
No log	21.0	252	0.4136	0.75
No log	22.0	264	0.4364	0.75
No log	23.0	276	0.4180	0.7250
No log	24.0	288	0.4145	0.75
No log	25.0	300	0.4141	0.8000
No log	26.0	312	0.3948	0.8000
No log	27.0	324	0.3930	0.8250
No log	28.0	336	0.3851	0.8250
No log	29.0	348	0.3745	0.8250
No log	30.0	360	0.3741	0.8250

Framework versions

Transformers 4.37.2
Pytorch 1.13.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0

Task: multiple choice
Library: transformers
Type: roberta
License: mit
Created: Jan 30, 2024
Updated: Jan 30, 2024