acer_nitro_distilbert_turk

This model is a fine-tuned version of dbmdz/distilbert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7724
• F1: 0.7596
• Roc Auc: 0.8506
• Accuracy: 0.6386

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	166	0.6408	0.7330	0.8464	0.5904
No log	2.0	332	0.6674	0.7549	0.8434	0.6386
No log	3.0	498	0.7058	0.7573	0.8470	0.6145
0.3537	4.0	664	0.7887	0.7333	0.8358	0.6145
0.3537	5.0	830	0.8267	0.7586	0.8447	0.6265
0.3537	6.0	996	0.7217	0.7477	0.8491	0.6506
0.191	7.0	1162	0.7180	0.7593	0.8588	0.6506
0.191	8.0	1328	0.7742	0.7670	0.8531	0.6386
0.191	9.0	1494	0.7798	0.7560	0.8493	0.6265
0.1294	10.0	1660	0.7724	0.7596	0.8506	0.6386

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0