bert-base-turkish-cased-emotion-analysis

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0437
• Accuracy: 0.995 ??
• F1: 0.9950 ??

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	119	0.0378	0.99	0.9900
No log	2.0	238	0.0437	0.995	0.9950

Framework versions

• Transformers 4.27.1
• Pytorch 2.0.0+cpu
• Datasets 2.10.1
• Tokenizers 0.13.2