Bert-Sentiment-Fa

This model is a fine-tuned version of farshadafx/Bert-Sentiment-Fa on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.4623
• Accuracy: 0.4783
• F1: 0.4829

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	52	1.0841	0.4130	0.1949
No log	2.0	104	1.0502	0.4565	0.3982
No log	3.0	156	1.1478	0.5	0.5102
No log	4.0	208	1.2943	0.4783	0.4974
No log	5.0	260	1.4623	0.4783	0.4829

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1