metadata

base_model: aubmindlab/bert-base-arabertv02-twitter
tags:
  - generated_from_trainer
metrics:
  - f1
  - accuracy
model-index:
  - name: Model4_arabertv2_base_T1_WS_A100
    results: []

Model4_arabertv2_base_T1_WS_A100

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1569
F1: 0.8398
F1 Macro: 0.7742
Roc Auc: 0.9021
Accuracy: 0.8073

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: 16
eval_batch_size: 16
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	F1	F1 Macro	Roc Auc	Accuracy
0.0988	1.0	507	0.1569	0.8398	0.7742	0.9021	0.8073
0.056	2.0	1014	0.2023	0.8267	0.7610	0.8938	0.7912
0.0358	3.0	1521	0.1959	0.8529	0.7889	0.9089	0.8275
0.0204	4.0	2028	0.2132	0.8496	0.7971	0.9079	0.8226
0.0157	5.0	2535	0.2288	0.8434	0.7789	0.9047	0.8163

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3