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aomar85/
Arabert_concatenatewithPrompttrainval-fold4

Name: Arabert_concatenatewithPrompttrainval-fold4
Availability: InStock

generated_from_trainer

aubmindlab/bert-base-arabertv02-twitter

finetune

text-embeddings-inference

endpoints_compatible

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Twitter_concatenatewithPrompttrainval-fold4

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: 0.3952
Accuracy: 0.875
Macro F1: 0.8733
Weighted F1: 0.8746
F1 Pro: 0.9123
F1 Against: 0.8760
F1 Neutral: 0.8317

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	F1 Pro	F1 Against	F1 Neutral
0.9326	1.1628	50	0.5759	0.7798	0.7792	0.7787	0.8305	0.7304	0.7767
0.5335	2.3256	100	0.4192	0.8333	0.8332	0.8335	0.8571	0.8226	0.82
0.3503	3.4884	150	0.4169	0.8452	0.8439	0.8449	0.8929	0.8346	0.8041
0.2399	4.6512	200	0.3952	0.875	0.8733	0.8746	0.9123	0.8760	0.8317

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

aomar85/Arabert_concatenatewithPrompttrainval-fold4

Twitter_concatenatewithPrompttrainval-fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aomar85/
Arabert_concatenatewithPrompttrainval-fold4