metadata

license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
  - Multiple Choice
metrics:
  - accuracy
model-index:
  - name: bert-base-uncased-e_CARE
    results: []
datasets:
  - 12ml/e-CARE
language:
  - en
pipeline_tag: question-answering

bert-base-uncased-e_CARE

This model is a fine-tuned version of bert-base-uncased.

It achieves the following results on the evaluation set:

Loss: 1.7677
Accuracy: 0.7212

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5637	1.0	1571	0.5282	0.7244
0.345	2.0	3142	0.6667	0.7320
0.1098	3.0	4713	1.3113	0.7257
0.0212	4.0	6284	1.8194	0.7225
0.0185	5.0	7855	1.7677	0.7212

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3