BERT_test_graident_accumulation_test3_finetuned

BrianHsu/BERT_test_graident_accumulation_test3_finetuned

BERT_test_graident_accumulation_test3_finetuned is a multiple choice model from BrianHsu. 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: bert
Access: Public
Created: Dec 18, 2023
Updated: Dec 18, 2023
SHA: 17eb636a

Model card

From the Hugging Face model README

BERT_test_graident_accumulation_test3_finetuned

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8780
Accuracy: 0.55

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.97	30	0.8294	0.6
No log	1.98	61	0.8516	0.55
No log	2.91	90	0.8780	0.55

Framework versions

Transformers 4.36.0
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: multiple choice
Library: transformers
Type: bert
Created: Dec 18, 2023
Updated: Dec 18, 2023