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aomar85/
Twitter_concatenatewithPrompt_Augmentation-fold4

Name: Twitter_concatenatewithPrompt_Augmentation-fold4
Availability: InStock

generated_from_trainer

aubmindlab/bert-base-arabertv02-twitter

finetune

text-embeddings-inference

endpoints_compatible

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Twitter_concatenatewithPrompt_Augmentation-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: 0.4110
Accuracy: 0.8605
Macro F1: 0.8602
Weighted F1: 0.8606
F1 Pro: 0.8789
F1 Against: 0.856
F1 Neutral: 0.8458

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	F1 Pro	F1 Against	F1 Neutral
1.7120	2.3294	100	0.5647	0.7656	0.7664	0.7661	0.7867	0.7479	0.7644
0.8256	4.6588	200	0.4331	0.8427	0.8422	0.8427	0.8610	0.8392	0.8265
0.4433	6.9882	300	0.4109	0.8605	0.8602	0.8606	0.8789	0.856	0.8458

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

aomar85/Twitter_concatenatewithPrompt_Augmentation-fold4

Twitter_concatenatewithPrompt_Augmentation-fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aomar85/
Twitter_concatenatewithPrompt_Augmentation-fold4