metadata

base_model: aubmindlab/bert-base-arabertv02-twitter
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Improved-Arabert-twitter-sentiment-Twitter
    results: []

Improved-Arabert-twitter-sentiment-Twitter

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6342
Accuracy: 0.89

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: 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5264	0.55	50	0.5252	0.71
0.3041	1.1	100	0.4085	0.81
0.2205	1.65	150	0.3303	0.88
0.1476	2.2	200	0.3889	0.87
0.1219	2.75	250	0.3775	0.87
0.0972	3.3	300	0.3929	0.88
0.0917	3.85	350	0.4727	0.86
0.0596	4.4	400	0.4406	0.89
0.0556	4.95	450	0.4949	0.89
0.0375	5.49	500	0.4935	0.9
0.0269	6.04	550	0.5976	0.88
0.0235	6.59	600	0.5543	0.89
0.0191	7.14	650	0.5941	0.88
0.0109	7.69	700	0.6562	0.89
0.0198	8.24	750	0.6342	0.89

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.14.1