fine_tuned_copa_bert

lenatr99/fine_tuned_copa_bert

fine_tuned_copa_bert is a multiple choice model from lenatr99. 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 apache-2.0.

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

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At a glance

Task: multiple choice
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 9a60a7e7

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

fine_tuned_copa_bert

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

Loss: 1.0295
Accuracy: 0.54
F1: 0.5407

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7066	1.0	50	0.6907	0.54	0.5411
0.6897	2.0	100	0.6880	0.57	0.5709
0.6001	3.0	150	0.7025	0.55	0.5511
0.4629	4.0	200	0.7810	0.53	0.5310
0.3402	5.0	250	1.0003	0.55	0.5511
0.2299	6.0	300	1.0220	0.55	0.5511
0.1874	7.0	350	0.9956	0.56	0.5611
0.1133	8.0	400	1.0295	0.54	0.5407

Framework versions

Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1

Task: multiple choice
Library: transformers
Type: bert
License: apache-2.0
Created: May 3, 2024
Updated: May 3, 2024