CAMeL-Lab_bert-base-arabic-camelbert-mix-did-nadi-finetuned-lora-tweet_eval_hate

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi on the tweet_eval dataset. It achieves the following results on the evaluation set:

• accuracy: 0.681

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: 0.0004
• 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: 4

Training results

accuracy	train_loss	epoch
0.466	None	0
0.668	0.6349	0
0.663	0.5649	1
0.669	0.5411	2
0.681	0.5298	3

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.2.0
• Datasets 2.16.1
• Tokenizers 0.15.2